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+version https://git-lfs.github.com/spec/v1 +oid sha256:d44b2bd724589c63b8d66fae2557b920cb8885199a5ecf1aa438a90ed68cdbd5 +size 134656 diff --git a/A-news-Agrregation-system-master/db.sqlite3 b/A-news-Agrregation-system-master/db.sqlite3 new file mode 100644 index 0000000000000000000000000000000000000000..4bd665454a05b21612dfe302d63a2f0f27b2ecbb --- /dev/null +++ b/A-news-Agrregation-system-master/db.sqlite3 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0586ed53e73aa12addd84390e1590ada9a3eddec4ed74197a5ff534529c83700 +size 413696 diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/controlHCsquad.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/controlHCsquad.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a6f30e2a048ddbac5bf0abcd58d814df04f506b2 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/controlHCsquad.sqf @@ -0,0 +1,64 @@ +if (player != theBoss) exitWith {hint "Only Commander has the ability to control HC units"}; + +_grupos = _this select 0; + +_grupo = _grupos select 0; +_unit = leader _grupo; + +if !([_unit] call A3A_fnc_canFight) exitWith {hint "You cannot control an unconscious or dead unit"}; + +while {(count (waypoints _grupo)) > 0} do + { + deleteWaypoint ((waypoints _grupo) select 0); + }; + +_wp = _grupo addwaypoint [getpos _unit,0]; + +{ +if (_x != vehicle _x) then + { + [_x] orderGetIn true; + }; +} forEach units group player; + +hcShowBar false; +hcShowBar true; + +_unit setVariable ["owner",player,true]; +_eh1 = player addEventHandler ["HandleDamage", + { + _unit = _this select 0; + _unit removeEventHandler ["HandleDamage",_thisEventHandler]; + //removeAllActions _unit; + selectPlayer _unit; + (units group player) joinsilent group player; + group player selectLeader player; + hint "Returned to original Unit as it received damage"; + }]; +_eh2 = _unit addEventHandler ["HandleDamage", + { + _unit = _this select 0; + _unit removeEventHandler ["HandleDamage",_thisEventHandler]; + removeAllActions _unit; + selectPlayer (_unit getVariable "owner"); + (units group player) joinsilent group player; + group player selectLeader player; + hint "Returned to original Unit as controlled AI received damage"; + }]; +selectPlayer _unit; + +_tiempo = 60; + +_unit addAction ["Return Control to AI",{selectPlayer (player getVariable ["owner",player])}]; + +waitUntil {sleep 1; hint format ["Time to return control to AI: %1", _tiempo]; _tiempo = _tiempo - 1; (_tiempo < 0) or (isPlayer theBoss)}; + +removeAllActions _unit; +if (!isPlayer (_unit getVariable ["owner",_unit])) then {selectPlayer (_unit getVariable ["owner",_unit])}; +//_unit setVariable ["owner",nil,true]; +_unit removeEventHandler ["HandleDamage",_eh2]; +player removeEventHandler ["HandleDamage",_eh1]; +(units group theBoss) joinsilent group theBoss; +group theBoss selectLeader theBoss; +hint ""; + diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/controlunit.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/controlunit.sqf new file mode 100644 index 0000000000000000000000000000000000000000..2618849824fdb63cc1f8afa1cc03f753d7b605db --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/controlunit.sqf @@ -0,0 +1,63 @@ +private ["_units","_unit"]; + +_units = _this select 0; + +_unit = _units select 0; + +if (_unit == Petros) exitWith {hint "You cannot control Petros";}; +//if (captive player) exitWith {hint "You cannot control AI while on Undercover"}; +if (player != leader group player) exitWith {hint "You cannot control AI if you are not the squad leader"}; +if (isPlayer _unit) exitWith {hint "You cannot control another player"}; +if (!(alive _unit) or (_unit getVariable ["INCAPACITATED",false])) exitWith {hint "You cannot control an unconscious, a dead unit"}; +//if ((not(typeOf _unit in soldadosSDK)) and (typeOf _unit != "b_g_survivor_F")) exitWith {hint "You cannot control a unit which does not belong to FIA"}; +if (side _unit != buenos) exitWith {hint format ["You cannot control a unit which does not belong to %1",nameBuenos]}; + + +_owner = player getVariable ["owner",player]; +if (_owner!=player) exitWith {hint "You cannot control AI while you are controlling another AI"}; + +{ +if (_x != vehicle _x) then + { + [_x] orderGetIn true; + }; +} forEach units group player; + +_unit setVariable ["owner",player]; +_eh1 = player addEventHandler ["HandleDamage", + { + _unit = _this select 0; + _unit removeEventHandler ["HandleDamage",_thisEventHandler]; + //removeAllActions _unit; + selectPlayer _unit; + (units group player) joinsilent group player; + group player selectLeader player; + hint "Returned to original Unit as it received damage"; + }]; +_eh2 = _unit addEventHandler ["HandleDamage", + { + _unit = _this select 0; + _unit removeEventHandler ["HandleDamage",_thisEventHandler]; + removeAllActions _unit; + selectPlayer (_unit getVariable "owner"); + (units group player) joinsilent group player; + group player selectLeader player; + hint "Returned to original Unit as controlled AI received damage"; + }]; +selectPlayer _unit; + +_tiempo = 60; + +_unit addAction ["Return Control to AI",{selectPlayer leader (group (_this select 0))}]; + +waitUntil {sleep 1; hint format ["Time to return control to AI: %1", _tiempo]; _tiempo = _tiempo - 1; (_tiempo == -1) or (isPlayer (leader group player))}; + +removeAllActions _unit; +selectPlayer (_unit getVariable ["owner",_unit]); +//_unit setVariable ["owner",nil,true]; +(units group player) joinsilent group player; +group player selectLeader player; +_unit removeEventHandler ["HandleDamage",_eh2]; +player removeEventHandler ["HandleDamage",_eh1]; +hint ""; + diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/dismissPlayerGroup.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/dismissPlayerGroup.sqf new file mode 100644 index 0000000000000000000000000000000000000000..518fb42b4746a6510b065cf53b9deebae5e27ad8 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/dismissPlayerGroup.sqf @@ -0,0 +1,59 @@ +//if (!isServer) exitWith{}; + +if (player != leader group player) exitWith {hint "You cannot dismiss anyone if you are not the squad leader"}; + +private ["_units","_hr","_resourcesFIA","_unit","_nuevogrp"]; + +_units = _this select 0; +_units = _units - [player]; +_units = _units select {!(isPlayer _x)}; +if (_units isEqualTo []) exitWith {}; +if (_units findIf {!([_x] call A3A_fnc_canFight)} != -1) exitWith {hint "You cannot disband supressed, undercover or unconscious units"}; +player globalChat "Get out of my sight you useless scum!"; + +_nuevoGrp = createGroup buenos; +//if ({isPlayer _x} count units group player == 1) then {_ai = true; _nuevogrp = createGroup buenos}; + +{ +if (typeOf _x != SDKUnarmed) then + { + [_x] join _nuevogrp; + if !(hayIFA) then {arrayids = arrayids + [name _x]}; + }; +} forEach _units; + +if (recruitCooldown < time) then {recruitCooldown = time + 60} else {recruitCooldown = recruitCooldown + 60}; + + +_lider = leader _nuevoGrp; + +{_x domove getMarkerPos respawnBuenos} forEach units _nuevogrp; + +_tiempo = time + 120; + +waitUntil {sleep 1; (time > _tiempo) or ({(_x distance getMarkerPos respawnBuenos < 50) and (alive _x)} count units _nuevogrp == {alive _x} count units _nuevogrp)}; + +_hr = 0; +_resourcesFIA = 0; +_items = []; +_municion = []; +_armas = []; + +{_unit = _x; +if ([_unit] call A3A_fnc_canFight) then + { + _resourcesFIA = _resourcesFIA + (server getVariable (typeOf _unit)); + _hr = _hr +1; + {if (not(([_x] call BIS_fnc_baseWeapon) in unlockedWeapons)) then {_armas pushBack ([_x] call BIS_fnc_baseWeapon)}} forEach weapons _unit; + {if (not(_x in unlockedMagazines)) then {_municion pushBack _x}} forEach magazines _unit; + _items = _items + (items _unit) + (primaryWeaponItems _unit) + (assignedItems _unit) + (secondaryWeaponItems _unit) + [(hmd _unit),(headGear _unit),(vest _unit)]; + }; +deleteVehicle _x; +} forEach units _nuevogrp; +if (!isMultiplayer) then {_nul = [_hr,_resourcesFIA] remoteExec ["A3A_fnc_resourcesFIA",2];} else {_nul = [_hr,0] remoteExec ["A3A_fnc_resourcesFIA",2]; [_resourcesFIA] call A3A_fnc_resourcesPlayer}; +{caja addWeaponCargoGlobal [_x,1]} forEach _armas; +{caja addMagazineCargoGlobal [_x,1]} forEach _municion; +{caja addItemCargoGlobal [_x,1]} forEach _items; +deleteGroup _nuevogrp; + + diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/dismissSquad.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/dismissSquad.sqf new file mode 100644 index 0000000000000000000000000000000000000000..36dc2b58342be9e780d2a048a76bba6e62ce07a9 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/dismissSquad.sqf @@ -0,0 +1,70 @@ +//if (!isServer) exitWith{}; +private ["_groups","_hr","_resourcesFIA","_wp","_grupo","_veh","_salir"]; + +_groups = _this select 0; +_hr = 0; +_resourcesFIA = 0; +_salir = false; +{ +if ((groupID _x == "MineF") or (groupID _x == "Watch") or (isPlayer(leader _x))) then {_salir = true}; +} forEach _groups; + +if (_salir) exitWith {hint "You cannot dismiss player led, Watchpost, Roadblocks or Minefield building squads"}; + +{ +if (_x getVariable ["esNATO",false]) then {_salir = true}; +} forEach _groups; + +if (_salir) exitWith {hint "You cannot dismiss NATO groups"}; + +_pos = getMarkerPos respawnBuenos; + +{ +theBoss sideChat format ["%2, I'm sending %1 back to base", _x,name petros]; +theBoss hcRemoveGroup _x; +_wp = _x addWaypoint [_pos, 0]; +_wp setWaypointType "MOVE"; +sleep 3} forEach _groups; + +sleep 100; + +{_grupo = _x; +{ + +if (alive _x) then + { + _hr = _hr + 1; + _resourcesFIA = _resourcesFIA + (server getVariable [typeOf _x,0]); + if (!isNull (assignedVehicle _x)) then + { + _veh = assignedVehicle _x; + if ((typeOf _veh) in vehFIA) then + { + _resourcesFIA = _resourcesFIA + ([(typeOf _veh)] call A3A_fnc_vehiclePrice); + if (count attachedObjects _veh > 0) then + { + _subVeh = (attachedObjects _veh) select 0; + _resourcesFIA = _resourcesFIA + ([(typeOf _subVeh)] call A3A_fnc_vehiclePrice); + deleteVehicle _subVeh; + }; + deleteVehicle _veh; + }; + }; + _mochi = backpack _x; + if (_mochi != "") then + { + switch (_mochi) do + { + case MortStaticSDKB: {_resourcesFIA = _resourcesFIA + ([SDKMortar] call A3A_fnc_vehiclePrice)}; + case AAStaticSDKB: {_resourcesFIA = _resourcesFIA + ([staticAABuenos] call A3A_fnc_vehiclePrice)}; + case MGStaticSDKB: {_resourcesFIA = _resourcesFIA + ([SDKMGStatic] call A3A_fnc_vehiclePrice)}; + case ATStaticSDKB: {_resourcesFIA = _resourcesFIA + ([staticATBuenos] call A3A_fnc_vehiclePrice)}; + }; + }; + }; +deleteVehicle _x; +} forEach units _grupo; +deleteGroup _grupo;} forEach _groups; +_nul = [_hr,_resourcesFIA] remoteExec ["A3A_fnc_resourcesFIA",2]; + + diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/enemyNearCheck.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/enemyNearCheck.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d9349fc1ec55678b31d42616c8e737c53cbf67b7 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/enemyNearCheck.sqf @@ -0,0 +1,6 @@ +private ["_unit","_dist","_return"]; +_unit = _this select 0; +_dist = _this select 1; +_return = false; +{if (_x distance _unit < _dist) exitWith {_return = true}} forEach (allUnits select {((side group _x == malos) or (side group _x == muyMalos)) and ([_x] call A3A_fnc_canFight)}); +_return diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/garrisonAdd.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/garrisonAdd.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d4a5d0f8c658ffd7026441d15f5f97673f3c1038 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/garrisonAdd.sqf @@ -0,0 +1,56 @@ +private ["_hr","_resourcesFIA","_tipo","_coste","_marcador","_garrison","_posicion","_unit","_grupo","_veh","_pos"]; + +_hr = server getVariable "hr"; + +if (_hr < 1) exitWith {hint "You lack of HR to make a new recruitment"}; + +_resourcesFIA = server getVariable "resourcesFIA"; + +_tipo = _this select 0; + +_coste = 0; + +if (_tipo isEqualType "") then + { + _coste = server getVariable _tipo; + _coste = _coste + ([SDKMortar] call A3A_fnc_vehiclePrice); + } +else + { + _tipo = if (random 20 <= skillFIA) then {_tipo select 1} else {_tipo select 0}; + _coste = server getVariable _tipo; + }; + +if (_coste > _resourcesFIA) exitWith {hint format ["You do not have enough money for this kind of unit (%1 € needed)",_coste]}; + +_marcador = posicionGarr; + +if ((_tipo == staticCrewBuenos) and (_marcador in puestosFIA)) exitWith {hint "You cannot add mortars to a Roadblock garrison"}; + +_posicion = getMarkerPos _marcador; + +if (surfaceIsWater _posicion) exitWith {hint "This Garrison is still updating, please try again in a few seconds"}; + +if ([_posicion,500] call A3A_fnc_enemyNearCheck) exitWith {Hint "You cannot Recruit Garrison Units with enemies near the zone"}; +_nul = [-1,-_coste] remoteExec ["A3A_fnc_resourcesFIA",2]; +/* +_garrison = []; +_garrison = _garrison + (garrison getVariable [_marcador,[]]); +_garrison pushBack _tipo; +garrison setVariable [_marcador,_garrison,true]; +//[_marcador] call A3A_fnc_mrkUpdate;*/ +_cuenta = selectMax [count (garrison getVariable _marcador),0]; +[_tipo,buenos,_marcador,1] remoteExec ["A3A_fnc_garrisonUpdate",2]; +waitUntil {(_cuenta < count (garrison getVariable _marcador)) or (lados getVariable [_marcador,sideUnknown] != buenos)}; + +if (lados getVariable [_marcador,sideUnknown] == buenos) then + { + hint format ["Soldier recruited.%1",[_marcador] call A3A_fnc_garrisonInfo]; + + if (spawner getVariable _marcador != 2) then + { + //[_marcador] remoteExec ["tempMoveMrk",2]; + [_marcador,_tipo] remoteExec ["A3A_fnc_createSDKGarrisonsTemp",2]; + }; + }; + diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/garrisonDialog.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/garrisonDialog.sqf new file mode 100644 index 0000000000000000000000000000000000000000..7514f9e3674512b89f8dadb141c6fb193b355fb7 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/garrisonDialog.sqf @@ -0,0 +1,92 @@ +private ["_tipo","_posicionTel","_cercano","_garrison","_coste","_hr","_size"]; +_tipo = _this select 0; + +if (_tipo == "add") then {hint "Select a zone to add garrisoned troops"} else {hint "Select a zone to remove it's Garrison"}; + +if (!visibleMap) then {openMap true}; +posicionTel = []; + +onMapSingleClick "posicionTel = _pos;"; + +waitUntil {sleep 1; (count posicionTel > 0) or (not visiblemap)}; +onMapSingleClick ""; + +if (!visibleMap) exitWith {}; + +_posicionTel = posicionTel; +posicionGarr = ""; + +_cercano = [marcadores,_posicionTel] call BIS_fnc_nearestPosition; +_posicion = getMarkerPos _cercano; + +if (getMarkerPos _cercano distance _posicionTel > 40) exitWith {hint "You must click near a marked zone"; _nul=CreateDialog "build_menu";}; + +if (not(lados getVariable [_cercano,sideUnknown] == buenos)) exitWith {hint format ["That zone does not belong to %1",nameBuenos]; _nul=CreateDialog "build_menu";}; +if ([_posicion,500] call A3A_fnc_enemyNearCheck) exitWith {hint "You cannot manage this garrison while there are enemies nearby";_nul=CreateDialog "build_menu"}; +//if (((_cercano in puestosFIA) and !(isOnRoad _posicion)) /*or (_cercano in ciudades)*/ or (_cercano in controles)) exitWith {hint "You cannot manage garrisons on this kind of zone"; _nul=CreateDialog "garrison_menu"}; +_puestoFIA = if (_cercano in puestosFIA) then {true} else {false}; +_wPost = if (_puestoFIA and !(isOnRoad getMarkerPos _cercano)) then {true} else {false}; +_garrison = if (! _wpost) then {garrison getVariable [_cercano,[]]} else {SDKSniper}; + +if (_tipo == "rem") then + { + if ((count _garrison == 0) and !(_cercano in puestosFIA)) exitWith {hint "The place has no garrisoned troops to remove"; _nul=CreateDialog "build_menu";}; + _coste = 0; + _hr = 0; + { + if (_x == staticCrewBuenos) then {if (_puestoFIA) then {_coste = _coste + ([vehSDKLightArmed] call A3A_fnc_vehiclePrice)} else {_coste = _coste + ([SDKMortar] call A3A_fnc_vehiclePrice)}}; + _hr = _hr + 1; + _coste = _coste + (server getVariable [_x,0]); + } forEach _garrison; + [_hr,_coste] remoteExec ["A3A_fnc_resourcesFIA",2]; + if (_puestoFIA) then + { + garrison setVariable [_cercano,nil,true]; + puestosFIA = puestosFIA - [_cercano]; publicVariable "puestosFIA"; + marcadores = marcadores - [_cercano]; publicVariable "marcadores"; + deleteMarker _cercano; + lados setVariable [_cercano,nil,true]; + } + else + { + garrison setVariable [_cercano,[],true]; + //[_cercano] call A3A_fnc_mrkUpdate; + //[_cercano] remoteExec ["tempMoveMrk",2]; + {if (_x getVariable ["marcador",""] == _cercano) then {deleteVehicle _x}} forEach allUnits; + }; + [_cercano] call A3A_fnc_mrkUpdate; + hint format ["Garrison removed\n\nRecovered Money: %1 €\nRecovered HR: %2",_coste,_hr]; + _nul=CreateDialog "build_menu"; + } +else + { + posicionGarr = _cercano; + publicVariable "posicionGarr"; + hint format ["Info%1",[_cercano] call A3A_fnc_garrisonInfo]; + closeDialog 0; + _nul=CreateDialog "garrison_recruit"; + sleep 1; + disableSerialization; + + _display = findDisplay 100; + + if (str (_display) != "no display") then + { + _ChildControl = _display displayCtrl 104; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKMil select 0)]; + _ChildControl = _display displayCtrl 105; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKMG select 0)]; + _ChildControl = _display displayCtrl 126; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKMedic select 0)]; + _ChildControl = _display displayCtrl 107; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKSL select 0)]; + _ChildControl = _display displayCtrl 108; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",(server getVariable staticCrewBuenos) + ([SDKMortar] call A3A_fnc_vehiclePrice)]; + _ChildControl = _display displayCtrl 109; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKGL select 0)]; + _ChildControl = _display displayCtrl 110; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKSniper select 0)]; + _ChildControl = _display displayCtrl 111; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKATman select 0)]; + }; + }; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/postmortem.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/postmortem.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bfe9913291f4c46bf490c78036011c07a105b917 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/postmortem.sqf @@ -0,0 +1,12 @@ +_muerto = _this select 0; +sleep cleantime; +deleteVehicle _muerto; +_grupo = group _muerto; +if (!isNull _grupo) then + { + if ({alive _x} count units _grupo == 0) then {deleteGroup _grupo}; + } +else + { + if (_muerto in staticsToSave) then {staticsToSave = staticsToSave - [_muerto]; publicVariable "staticsToSave";}; + }; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/reDress.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/reDress.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9d38d84ac0a62e9f7c0c19a770d04d65239beec7 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/reDress.sqf @@ -0,0 +1,8 @@ +//if (worldName != "Tanoa") exitWith {}; +private ["_unit"]; + +_unit = _this select 0; + +_unit addUniform (selectRandom banditUniforms); + +_unit addItemToUniform "FirstAidKit"; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/reinfplayer.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/reinfplayer.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d9972a25d4995625f34bcce90af65e535f6ce7ad --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/reinfplayer.sqf @@ -0,0 +1,47 @@ +if (not([player] call A3A_fnc_isMember)) exitWith {hint "Only Server Members can recruit AI units"}; +private ["_chequeo","_hr","_tipounidad","_coste","_resourcesFIA","_unit"]; + +//if (!allowPlayerRecruit) exitWith {hint "Server is very loaded. \nWait one minute or change FPS settings in order to fulfill this request"}; + +if (recruitCooldown > time) exitWith {hint format ["You need to wait %1 seconds to be able to recruit units again",round (recruitCooldown - time)]}; + +if (player != player getVariable ["owner",player]) exitWith {hint "You cannot buy units while you are controlling AI"}; + +if ([player,300] call A3A_fnc_enemyNearCheck) exitWith {Hint "You cannot Recruit Units with enemies nearby"}; + +if (player != leader group player) exitWith {hint "You cannot recruit units as you are not your group leader"}; + +_hr = server getVariable "hr"; + +if (_hr < 1) exitWith {hint "You do not have enough HR for this request"}; +_arraytipounidad = _this select 0; +_tipoUnidad = _arrayTipoUnidad select 0; +_coste = server getVariable _tipounidad; +if (!isMultiPlayer) then {_resourcesFIA = server getVariable "resourcesFIA"} else {_resourcesFIA = player getVariable "dinero";}; + +if (_coste > _resourcesFIA) exitWith {hint format ["You do not have enough money for this kind of unit (%1 € needed)",_coste]}; + +_squadLimit = if(isMultiPlayer) then {10} else {20}; +if ((count units group player) + (count units rezagados) > _squadLimit - 1 ) exitWith {hint "Your squad is full or you have too many scattered units with no radio contact"}; +if (random 20 <= skillFIA) then {_tipoUnidad = _arrayTipoUnidad select 1}; +_unit = group player createUnit [_tipounidad, position player, [], 0, "NONE"]; + +if (!isMultiPlayer) then + { + _nul = [-1, - _coste] remoteExec ["A3A_fnc_resourcesFIA",2]; + } +else + { + _nul = [-1, 0] remoteExec ["A3A_fnc_resourcesFIA",2]; + [- _coste] call A3A_fnc_resourcesPlayer; + ["dinero",player getVariable ["dinero",0]] call fn_SaveStat; + hint "Soldier Recruited.\n\nRemember: if you use the group menu to switch groups you will lose control of your recruited AI"; + }; + +[_unit] spawn A3A_fnc_FIAinit; +_unit disableAI "AUTOCOMBAT"; +sleep 1; +petros directSay "SentGenReinforcementsArrived"; + + + diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/stealStatic.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/stealStatic.sqf new file mode 100644 index 0000000000000000000000000000000000000000..406dfaf60ce8d7906cc799bddc30897b4915445c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/stealStatic.sqf @@ -0,0 +1,18 @@ +private ["_cercano"]; +params ["_estatica","_jugador"]; + +if (!alive _estatica) exitWith {hint "You cannot steal a destroyed static weapon"}; + +if (alive gunner _estatica) exitWith {hint "You cannot steal a static weapon when someone is using it"}; + +if ((alive assignedGunner _estatica) and (!isPlayer (assignedGunner _estatica))) exitWith {hint "The gunner of this static weapon is still alive"}; + +if (activeGREF and ((typeOf _estatica == staticATBuenos) or (typeOf _estatica == staticAABuenos))) exitWith {hint "This weapon cannot be dissassembled"}; + +_cercano = [marcadores,_estatica] call BIS_fnc_nearestPosition; + +if (not(lados getVariable [_cercano,sideUnknown] == buenos)) exitWith {hint "You have to conquer this zone in order to be able to steal this Static Weapon"}; + +_estatica setOwner (owner _jugador); + +_nul = [_estatica] call fn_saveStatic; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/vehStats.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/vehStats.sqf new file mode 100644 index 0000000000000000000000000000000000000000..da1ad4010841ed3c83219548d67bf8bac185e140 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/vehStats.sqf @@ -0,0 +1,112 @@ +if (count hcSelected player == 0) exitWith {hint "You must select one group on the HC bar"}; + +private ["_grupo","_veh","_texto","_unidades"]; + +/* +_esStatic = false; +{if (vehicle _x isKindOf "StaticWeapon") exitWith {_esStatic = true}} forEach units _grupo; +if (_esStatic) exitWith {hint "Static Weapon squad vehicles cannot be managed"}; +*/ + +if (_this select 0 == "mount") exitWith + { + _texto = ""; + { + _grupo = _x; + _veh = objNull; + { + _owner = _x getVariable "owner"; + if (!isNil "_owner") then {if (_owner == _grupo) exitWith {_veh = _x}}; + } forEach vehicles; + if !(isNull _veh) then + { + _transporte = true; + if (count allTurrets [_veh, false] > 0) then {_transporte = false}; + if (_transporte) then + { + if (leader _grupo in _veh) then + { + _texto = format ["%2%1 dismounting\n",groupID _grupo,_texto]; + {[_x] orderGetIn false; [_x] allowGetIn false} forEach units _grupo; + } + else + { + _texto = format ["%2%1 boarding\n",groupID _grupo,_texto]; + {[_x] orderGetIn true; [_x] allowGetIn true} forEach units _grupo; + }; + } + else + { + if (leader _grupo in _veh) then + { + _texto = format ["%2%1 dismounting\n",groupID _grupo,_texto]; + if (canMove _veh) then + { + {[_x] orderGetIn false; [_x] allowGetIn false} forEach assignedCargo _veh; + } + else + { + _veh allowCrewInImmobile false; + {[_x] orderGetIn false; [_x] allowGetIn false} forEach units _grupo; + } + } + else + { + _texto = format ["%2%1 boarding\n",groupID _grupo,_texto]; + {[_x] orderGetIn true; [_x] allowGetIn true} forEach units _grupo; + }; + }; + }; + } forEach hcSelected player; + if (_texto != "") then {hint format ["%1",_texto]}; + }; +_texto = ""; +_grupo = (hcSelected player select 0); +player sideChat format ["%1, SITREP!!",groupID _grupo]; +_unidades = units _grupo; +_texto = format ["%1 Status\n\nAlive members: %2\nAble to combat: %3\nCurrent task: %4\nCombat Mode:%5\n",groupID _grupo,{alive _x} count _unidades,{[_x] call A3A_fnc_canFight} count _unidades,_grupo getVariable ["tarea","Patrol"],behaviour (leader _grupo)]; +if ({[_x] call A3A_fnc_isMedic} count _unidades > 0) then {_texto = format ["%1Operative Medic\n",_texto]} else {_texto = format ["%1No operative Medic\n",_texto]}; +if ({_x call A3A_fnc_typeOfSoldier == "ATMan"} count _unidades > 0) then {_texto = format ["%1With AT capabilities\n",_texto]}; +if ({_x call A3A_fnc_typeOfSoldier == "AAMan"} count _unidades > 0) then {_texto = format ["%1With AA capabilities\n",_texto]}; +if (!(isNull(_grupo getVariable ["morteros",objNull])) or ({_x call A3A_fnc_typeOfSoldier == "StaticMortar"} count _unidades > 0)) then + { + if ({vehicle _x isKindOf "StaticWeapon"} count _unidades > 0) then {_texto = format ["%1Mortar is deployed\n",_texto]} else {_texto = format ["%1Mortar not deployed\n",_texto]}; + } +else + { + if ({_x call A3A_fnc_typeOfSoldier == "StaticGunner"} count _unidades > 0) then + { + if ({vehicle _x isKindOf "StaticWeapon"} count _unidades > 0) then {_texto = format ["%1Static is deployed\n",_texto]} else {_texto = format ["%1Static not deployed\n",_texto]}; + }; + }; + +_veh = objNull; +{ +_owner = _x getVariable "owner"; +if (!isNil "_owner") then {if (_owner == _grupo) exitWith {_veh = _x}}; +} forEach vehicles; +if (isNull _veh) then + { + { + if ((vehicle _x != _x) and (_x == driver _x) and !(vehicle _x isKindOf "StaticWeapon")) exitWith {_veh = vehicle _x}; + } forEach _unidades; + }; +if !(isNull _veh) then + { + _texto = format ["%1Current vehicle:\n%2\n",_texto,getText (configFile >> "CfgVehicles" >> (typeOf _veh) >> "displayName")]; + if (!alive _veh) then + { + _texto = format ["%1DESTROYED",_texto]; + } + else + { + if (!canMove _veh) then {_texto = format ["%1DISABLED\n",_texto]}; + if (count allTurrets [_veh, false] > 0) then + { + if (!canFire _veh) then {_texto = format ["%1WEAPON DISABLED\n",_texto]}; + if (someAmmo _veh) then {_texto = format ["%1Munitioned\n",_texto]}; + }; + _texto = format ["%1Boarded:%2/%3",_texto,{vehicle _x == _veh} count _unidades,{alive _x} count _unidades]; + }; + }; +hint format ["%1",_texto]; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/vehiclePrice.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/vehiclePrice.sqf new file mode 100644 index 0000000000000000000000000000000000000000..468c14d7affeffb84942da6d1576e26f926eaca0 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/REINF/vehiclePrice.sqf @@ -0,0 +1,17 @@ +private ["_tipo","_coste"]; + +_tipo = _this select 0; + +_coste = server getVariable _tipo; + +if (isNil "_coste") then + { + diag_log format ["Antistasi Error en vehicleprice: %!",_tipo]; + _coste = 0; + } +else + { + _coste = round (_coste - (_coste * (0.1 * ({lados getVariable [_x,sideUnknown] == buenos} count puertos)))); + }; + +_coste \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Revive/initRevive.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Revive/initRevive.sqf new file mode 100644 index 0000000000000000000000000000000000000000..492f53fc5de971822a92c7f6d6e23f5154723c3e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Revive/initRevive.sqf @@ -0,0 +1,7 @@ +private ["_unit"]; +//esto habrá que meterlo en onplayerrespawn también +_unit = _this select 0; +//_unit setVariable ["inconsciente",false,true]; + +_unit setVariable ["respawning",false]; +_unit addEventHandler ["HandleDamage", A3A_fnc_handleDamage]; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Revive/isMedic.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Revive/isMedic.sqf new file mode 100644 index 0000000000000000000000000000000000000000..afd13a3aaab502ecb9955da89b81b1f583a09994 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Revive/isMedic.sqf @@ -0,0 +1,4 @@ +private _unit = _this select 0; +if (_unit getUnitTrait "Medic") exitWith {true}; +if (getNumber (configfile >> "CfgVehicles" >> (typeOf _unit) >> "attendant") == 2) exitWith {true}; +false \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/Infos/upsmon known problem and hints !R .txt b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/Infos/upsmon known problem and hints !R .txt new file mode 100644 index 0000000000000000000000000000000000000000..6ebddae799ee97060e971f5af3f8392e6e662bbd --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/Infos/upsmon known problem and hints !R .txt @@ -0,0 +1,85 @@ +=============================================================================================== +KNOWN PROBLEMS: +1) Pilots are very stupid if they have to land, sometimes they crash the helicopter (trees). +2) Sometimes a vehicle stops and wait for something (driver switches off the engine)? In the end (~2min) stuck control makes it move but I do not know if the problem is UPSMON or Arma. +Difficult to reproduce cause it happens at random times and very rarely. Expecialy when reinforcement AI use combat vehicle. Possible explanation: targetpos in the forest, AI lost the way, no radio contact etc :) +3) Too much smoke might cause drop in Fps. (change parameters: R_USE_SMOKE_wounded = 13; R_USE_SMOKE_killed = 35;) + + +=============================================================================================== +HINTS & TIPS : + +------------------- +0) To get rid of the debug information set (in Init_UPSMON.sqf) KRON_UPS_Debug = 0; + +------------------- +1) note for MissionMakers : UPSMON patrol vehicles after some time use up all fuel and stop. +Use a script to refuel the vehicles. + +------------------ +2) - Hide area markers before briefing. - + + create Game Logic Object + put in initialization field: + + nul = call compile preprocessFile "scripts\UPSMON\!R\markerAlpha.sqf"; + + (all markers area must be named area0, area1...area13) + + +------------------ +3) If you use civilians, always set their skill to 0 (save CPU). + +------------------ +4) in init.sqf do not use: + + if (isServer) then + { + //Init UPSMON scritp + call compile preprocessFileLineNumbers "scripts\Init_UPSMON.sqf"; + }; + +use: + + //Init UPSMON scritp + call compile preprocessFileLineNumbers "scripts\Init_UPSMON.sqf"; + +as Init_UPSMON.sqf has got part of the code which should be run on all clients. + +---------------- +5) If you fight on the small area think about lowering the "KRON_UPS_sharedist". +example: If the fight area is a town (600x600) and "KRON_UPS_sharedist = 700;", in the moment you are spotted at the edge of the town +all AI units in the 700m from you gets info about your position, and if they are not busy you can expect attack of all units. + +6) Only one init per Group, if you init in the unit INIT (make sure this unit is 100% possibility of present) + +7) if the leader is vehicle -> the group follows the vehicle (fast), if the leader is outside vehicle -> the vehicle follow the foot leader. (slow) + +8) to count civilians killed by players use (array): KILLED_CIV_COUNTER [Total,by West,by East,by Resistance, the Killer] + example: total_number_civilians_killed_by_any_players = KILLED_CIV_COUNTER select 0; + number_civilians_killed_by_any_east_players = KILLED_CIV_COUNTER select 2; + the_killer = KILLED_CIV_COUNTER select 4; + (Note: if the player becomes ENEMY to all is not side anymore. Kills by ENEMY are only counted in Total) + + +================================================================================================ +Hello UPSMON users, + +I'm currently run the project but I'm not very good at creating new function to the UPSMON as I'm not good script writer. +I feel much better as a person who can adjust existing code to work with UPSMON well. +95% of the functions in UPSMON were there (created by Kronzky or Monsada). +I just make some of them work more smooth, and fixed some bugs. +The aim is reliability, performance and make all end user friendly. + +So if you found a bug or had improved part of the code... let me know. +Any new code that could make UPSMON runs better or add new functions is very welcome. :) + +forum: http://forums.bistudio.com/showthread.php?t=91696 + +report bug: http://dev-heaven.net/projects/upsmon/issues +(do not forget to attach simple mission to reproduce problem) + + +Thank you + +!R \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_DoaddWP.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_DoaddWP.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ecd05162931dd5343d9c007ce6c06ce3dfb2582d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_DoaddWP.sqf @@ -0,0 +1,38 @@ +/**************************************************************** +File: UPSMON_DocreateWP.sqf +Author: Azroul13 + +Description: + Create waypoint for group +Parameter(s): + <--- group + <--- position of the waypoint + <--- type of the waypoint + <--- Formation of the waypoint + <--- Behaviour of the waypoint + <--- Combatmode of the waypoint + <--- Radius of the waypoint +Returns: + Nothing +****************************************************************/ +private ["_grp","_targetpos","_wptype","_wpformation","_speedmode","_wp1","_radius","_CombatMode"]; + +_grp = _this select 0; +_targetpos = _this select 1; +_wptype = _this select 2; +_wpformation = _this select 3; +_speedmode = _this select 4; +_Behaviour = _this select 5; +_CombatMode = _this select 6; +_radius = _this select 7; + + +_wp1 = _grp addWaypoint [_targetPos,count (waypoints _grp)]; +_wp1 setWaypointPosition [_targetPos,count (waypoints _grp)]; +_wp1 setWaypointType _wptype; +_wp1 setWaypointFormation _wpformation; +_wp1 setWaypointSpeed _speedmode; +_wp1 setwaypointbehaviour _Behaviour; +_wp1 setwaypointCombatMode _CombatMode; +_wp1 setWaypointLoiterRadius _radius; +if (count _this > 8) then {sleep 3; (vehicle (leader _grp)) flyinheight (_this select 8)}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_DocreateWP.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_DocreateWP.sqf new file mode 100644 index 0000000000000000000000000000000000000000..7559dbdfd31b98ba58e6385630cd04701a5676e4 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_DocreateWP.sqf @@ -0,0 +1,41 @@ +/**************************************************************** +File: UPSMON_DocreateWP.sqf +Author: Azroul13 + +Description: + Create waypoint for group +Parameter(s): + <--- group + <--- position of the waypoint + <--- type of the waypoint + <--- Formation of the waypoint + <--- Behaviour of the waypoint + <--- Combatmode of the waypoint + <--- Radius of the waypoint +Returns: + Nothing +****************************************************************/ +private ["_grp","_targetpos","_wptype","_wpformation","_speedmode","_wp1","_radius","_CombatMode"]; + +_grp = _this select 0; +_targetpos = _this select 1; +_wptype = _this select 2; +_wpformation = _this select 3; +_speedmode = _this select 4; +_Behaviour = _this select 5; +_CombatMode = _this select 6; +_radius = _this select 7; + +_grp call UPSMON_DeleteWP; + +_wp1 = _grp addWaypoint [_targetPos,0]; +_wp1 setWaypointPosition [_targetPos,0]; +_wp1 setWaypointType _wptype; +_wp1 setWaypointFormation _wpformation; +_wp1 setWaypointSpeed _speedmode; +_wp1 setwaypointbehaviour _Behaviour; +_wp1 setwaypointCombatMode _CombatMode; +_wp1 setWaypointLoiterRadius _radius; +//if (count _this > 8) then {sleep 3; (vehicle (leader _grp)) flyinheight (_this select 8)}; + +_grp setCurrentWaypoint [_grp,(_wp1 select 1)]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetCOS.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetCOS.sqf new file mode 100644 index 0000000000000000000000000000000000000000..21f98b5efa4667549cb01b8ddd1bdb947d8c1035 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetCOS.sqf @@ -0,0 +1,38 @@ +/**************************************************************** +File: UPSMON_GetSIN.sqf +Author: MONSADA + +Description: + Funcin que devuelve el valor negativo o positivo del coseno en base a un angulo +Parameter(s): + +Returns: + +****************************************************************/ +private["_dir","_cos"]; + +_dir=_this select 0; +if (isnil "_dir") exitWith {}; +if (_dir<90) then +{ + _cos=1; +} +else +{ + if (_dir<180) then + { + _cos=1; + } + else + { + if (_dir<270) then + { + _cos=-1; + } + else + { + _cos=-1; + }; + }; +}; +_cos \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetOut.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetOut.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ee8d3b20d2461ec1a78112d9aa16808b0c1cdca8 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetOut.sqf @@ -0,0 +1,29 @@ +/**************************************************************** +File: UPSMON_GetOut.sqf +Author: MONSADA + +Description: + Function for order a unit to exit if no gunner +Parameter(s): + +Returns: + +****************************************************************/ +private["_vehicle","_npc","_getout" ,"_gunner"]; + +_npc = _this; +_vehicle = vehicle (_npc); +_gunner = objnull; +_gunner = gunner _vehicle; + +sleep 0.05; +if (!alive _npc) exitwith{}; + +//If no leave the vehicle gunner +if ( isnull _gunner || !alive _gunner || !canmove _gunner || (_gunner != _npc && driver _vehicle != _npc && commander _vehicle != _npc) ) then { + [_npc] allowGetIn false; + _npc spawn UPSMON_doGetOut; + unassignVehicle _npc; + + //sleep 0.2; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetPos2D.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetPos2D.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a6c56e5449a89366a11456008fb62773b1bf245e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetPos2D.sqf @@ -0,0 +1,29 @@ +/**************************************************************** +File: UPSMON_GetPos2D.sqf +Author: MONSADA + +Description: + Funcin que devuelve una posicin en 2D a partir de otra, una direccin y una distancia +Parameter(s): + <--- Position + <--- Direction + <--- Distance +Returns: + Position +****************************************************************/ +private ["_pos","_dir","_dist","_cosU","_cosT","_relTX","_sinU","_sinT","_relTY","_newPos","_newPosX","_newPosY" ]; + +_pos = _this select 0; +_dir = _this select 1; +_dist = _this select 2; + +if (isnil "_pos") exitWith {}; +_targetX = _pos select 0; _targetY = _pos select 1; + +//Calculamos posicin +_cosU = [_dir] call UPSMON_GetCOS; _sinU = [_dir] call UPSMON_GetSIN; +_cosT = abs cos(_dir); _sinT = abs sin(_dir); +_relTX = _sinT * _dist * _cosU; _relTY = _cosT * _dist * _sinU; +_newPosX = _targetX + _relTX; _newPosY = _targetY + _relTY; +_newPos = [_newPosX,_newPosY]; +_newPos; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetSIN.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetSIN.sqf new file mode 100644 index 0000000000000000000000000000000000000000..76a0461dc049a0720c03f7861579e9cbcebddc9e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetSIN.sqf @@ -0,0 +1,38 @@ +/**************************************************************** +File: UPSMON_GetSIN.sqf +Author: MONSADA + +Description: + Funcin que devuelve el valor negativo o positivo del seno en base a un angulo +Parameter(s): + +Returns: + +****************************************************************/ +private["_dir","_sin","_cos"]; + +_dir=_this select 0; +if (isnil "_dir") exitWith {}; +if (_dir<90) then +{ + _sin=1; +} +else +{ + if (_dir<180) then + { + _sin=-1; + } + else + { + if (_dir<270) then + { + _sin=-1; + } + else + { + _sin=1; + }; + }; +}; +_sin \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getnearestplayer.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getnearestplayer.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9420f3c54f43d4b46086b8d6ced666fd07e2877e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getnearestplayer.sqf @@ -0,0 +1,34 @@ +/**************************************************************** +File: UPSMON_Getnearestplayer.sqf +Author: Azroul13 + +Description: + Get the nearest player near the position. +Parameter(s): + <--- Position + <--- Distance +Returns: + Nearest unit or ObjNull +****************************************************************/ +private ["_position","_nearestdist","_height","_nearest","_haslos"]; + +_position = _this select 0; +_nearestdist = _this select 1; + +_nearest = objNull; + +{ + if (isPlayer _x) then + { + If ((getposATL _x) select 2 <= 100) then + { + If ((getposATL _x vectorDistance [_position select 0,_position select 1,0]) <= _nearestdist) exitwith + { + _nearest=_x; + }; + }; + }; +} forEach playableUnits; + +//playableUnits; +_nearest diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getunitsincargo.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getunitsincargo.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a5dc459e894c713f91c107c95c55c38b31619c9f --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getunitsincargo.sqf @@ -0,0 +1,27 @@ +/**************************************************************** +File: UPSMON_Getunitsincargo.sqf +Author: Azroul13 + +Description: + Function for order a unit to exit if no gunner +Parameter(s): + +Returns: + +****************************************************************/ +private["_vehicle","_unitsincargo","_crew"]; + +_vehicle = _this select 0; + +_unitsincargo = []; + +_crew = crew _vehicle; + +{ + If (alive _x) then + { + _unitsincargo pushback _x; + }; +} foreach _crew; + +_unitsincargo \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Haslos.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Haslos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bc86c0efdbde0bb228b5b4808017378490c19c6d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Haslos.sqf @@ -0,0 +1,49 @@ +/**************************************************************** +File: UPSMON_Haslos.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- unit + <--- Target + <--- Max distance the unit can see the target + <--- Field of view of the unit +Returns: + Boolean +****************************************************************/ + +private ["_unit", "_target", "_range", "_fov","_eyeVector","_eyeDirection","_eyePosition","_targetPosition", "_inRange", "_result"]; + +_unit = [_this,0] call BIS_fnc_param; +_target = [_this,1] call BIS_fnc_param; +_range = [_this,2,100,[0]] call BIS_fnc_param; +_fov = [_this,3,130,[0]] call BIS_fnc_param; + +_result = false; +_inRange = ((getposATL _unit) vectordistance (getposATL _target)) < _range; +_eyeVector = eyeDirection _unit; +_eyeDirection = ((_eyeVector select 0) atan2 (_eyeVector select 1)); +_eyePosition = eyePos _unit; +_targetPosition = eyePos _target; + +If (!(_target iskindof "CAManBase")) then +{ + _targetPosition = aimpos _target; +}; + +if (_inRange) then +{ + if ([_eyePosition, _eyeDirection, _fov, _targetPosition] call BIS_fnc_inAngleSector) then + { + if (!lineIntersects[_eyePosition, _targetPosition, vehicle _unit, vehicle _target]) then + { + if (!terrainIntersectASL[_eyePosition, _targetPosition]) then + { + _result = true; + }; + }; + }; +}; + +_result; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_LOS.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_LOS.sqf new file mode 100644 index 0000000000000000000000000000000000000000..78b70296d8987b388e65b4cb8c3c2414ad231fe3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_LOS.sqf @@ -0,0 +1,32 @@ +/**************************************************************** +File: UPSMON_LOS.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- position to check + <--- Target position +Returns: + Boolean +****************************************************************/ + +private ["_poso","_posd","_los_ok"]; + +_poso = _this select 0; +_posd = _this select 1; + +_poso = [_poso select 0, _poso select 1, (getTerrainHeightASL [_poso select 0, _poso select 1]) +1]; +_posd = [_posd select 0, _posd select 1, (getTerrainHeightASL [_posd select 0, _posd select 1]) +1]; + +_los_ok = false; +If (!terrainIntersectASL [_poso,_posd]) then +{ + //lineIntersects [_poso, _posd] + If (count (lineintersectsobjs [_poso,_posd,objnull,objnull,false]) == 0) then + { + _los_ok = true; + }; +}; + +_los_ok; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nighttime.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nighttime.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e7100ecbde2fa72db5754fb6bd038918b26a93b6 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nighttime.sqf @@ -0,0 +1,24 @@ +/**************************************************************** +File: UPSMON_timeloop.sqf +Author: CarlGustav + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private ["_lat","_day","_hour","_sunangle","_Night"]; + +_Night = false; +_lat = -1 * getNumber(configFile >> "CfgWorlds" >> worldName >> "latitude"); +_day = 360 * (dateToNumber date); +_hour = (daytime / 24) * 360; +_sunangle = ((12 * cos(_day) - 78) * cos(_lat) * cos(_hour)) - (24 * sin(_lat) * cos(_day)); + +If (_sunangle < 0) then {_Night = true;}; +If (_sunangle > 0) then {_Night = False;}; + +_Night; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nowp.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nowp.sqf new file mode 100644 index 0000000000000000000000000000000000000000..da851e66b7d6e9bcb163dd4e15080fe8b985cf7e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nowp.sqf @@ -0,0 +1,62 @@ +/**************************************************************** +File: UPSMON_Nowp.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private ["_grp","_target","_supstatus","_nowp"]; + +_grp = _this select 0; +_target = _this select 1; +_supstatus = _this select 2; + +_nowp = true; + +If (_grp getvariable ["UPSMON_NOWP",0] == 0) then +{ + If (_grp getvariable ["UPSMON_Grpmission",""] != "AMBUSH") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "FORTIFY") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "RETREAT") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "SURRENDER") then + { + _nowp = false; + }; + } + }; + }; +} +else +{ + switch (_grp getvariable ["UPSMON_NOWP",0]) do + { + case 1: + { + If (!IsNull _target) then + { + _nowp = false; + }; + }; + case 2: + { + If (_supstatus == "INCAPACITED") then + { + _nowp = false; + }; + }; + case 3: + { + //Always Nowp = true + }; + }; +}; + +_nowp \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Replace.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Replace.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ee8480ed45affcac9f271804af882c47d0ae077c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Replace.sqf @@ -0,0 +1,37 @@ +/**************************************************************** +File: UPSMON_Replace.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_str","_old","_new","_out","_tmp","_jm","_la","_lo","_ln","_i"]; + +_str=_this select 0; +_arr=toArray(_str); +_la=count _arr; +_old=_this select 1; +_new=_this select 2; +_na=[_new] call UPSMON_StrToArray; +_lo=[_old] call UPSMON_StrLen; +_ln=[_new] call UPSMON_StrLen; +_out=""; +for "_i" from 0 to (count _arr)-1 do { + _tmp=""; + if (_i <= _la-_lo) then { + for "_j" from _i to (_i+_lo-1) do { + _tmp=_tmp + toString([_arr select _j]); + }; + }; + if (_tmp==_old) then { + _out=_out+_new; + _i=_i+_lo-1; + } else { + _out=_out+toString([_arr select _i]); + }; +}; +_out \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHFIREDNEAR.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHFIREDNEAR.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a77fd0e842e8a412eac9cca42b837bce9cedb7fe --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHFIREDNEAR.sqf @@ -0,0 +1,24 @@ +/**************************************************************** +File: UPSMON_SN_EHFIREDNEAR.sqf +Author: Rafalsky + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_unit","_shooter","_dist"]; + +_unit = _this select 0; +_shooter = _this select 1; +_dist = _this select 2; + +If (alive _unit) then +{ + If (!(_unit getvariable ["UPSMON_Civfleeing",false])) then + { + ["FLEE",_unit,_shooter,_dist] spawn UPSMON_Civaction; + }; +}; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHHIT.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHHIT.sqf new file mode 100644 index 0000000000000000000000000000000000000000..b82cd2fa553a967168e2b32620216225282810eb --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHHIT.sqf @@ -0,0 +1,24 @@ +/**************************************************************** +File: UPSMON_SN_EHHIT.sqf +Author: Rafalsky + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_unit","_shooter","_grpId"]; +_unit = _this select 0; +_shooter = _this select 1; +_grp = group _unit; + +if (!(_unit in UPSMON_GOTHIT_ARRAY)) then +{ + if (side _unit != side _shooter) then + { + UPSMON_GOTHIT_ARRAY pushback _unit; + if (UPSMON_Debug > 0) then {player globalchat format["UNIT: %1, SHOOTER :%2 %3",_unit,_shooter,side _shooter]}; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLED.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLED.sqf new file mode 100644 index 0000000000000000000000000000000000000000..047ec3d29a37d7baf84f2db824254b3492d4b242 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLED.sqf @@ -0,0 +1,41 @@ +/**************************************************************** +File: UPSMON_SN_EHHIT.sqf +Author: Rafalsky + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_unit","_shooter","_grpId"]; +_unit = _this select 0; +_shooter = _this select 1; +if (typeName _shooter != typeName objNull) then {_shooter = _unit};//added by Barbolani to avoid .rpt error +_grp = group _unit; + + +if (!(_unit in UPSMON_GOTKILL_ARRAY)) then +{ + if (side _unit != side _shooter) then + { + _alliednear = false; + + { + if (alive _x) then + { + if (getposATL _unit vectordistance getposATL _x <= 30) exitwith + { + _alliednear = true; + }; + }; + } foreach units _grp; + + If (_alliednear) then + { + UPSMON_GOTKILL_ARRAY pushback _unit; + //if (UPSMON_Debug > 0) then {player globalchat format["UNIT: %1, SHOOTER :%2 %3",_unit,_shooter,side _shooter]}; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLEDCIV.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLEDCIV.sqf new file mode 100644 index 0000000000000000000000000000000000000000..5af50c19056ec8e13faee937a58701f558cb2175 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLEDCIV.sqf @@ -0,0 +1,51 @@ +/**************************************************************** +File: R_SN_EHKILLEDCIV.sqf +Author: Rafalsky + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_killer","_side"]; + +_killer = _this select 1; + +//only if player killed a civilian +if (isPlayer _killer) then +{ + KILLED_CIV_COUNTER set [0,(KILLED_CIV_COUNTER select 0) + 1]; + + // if (UPSMON_Debug > 0) then {player globalchat format["KILLER: %1, %2", side _killer,KILLED_CIV_COUNTER ]}; + switch (side _killer) do + { + case west: + { + KILLED_CIV_COUNTER set [1,(KILLED_CIV_COUNTER select 1) + 1]; + UPSMON_WEST_HM = UPSMON_WEST_HM - UPSMON_Ammountofhostility; + }; + + case east: + { + KILLED_CIV_COUNTER set [2,(KILLED_CIV_COUNTER select 2) + 1]; + UPSMON_EAST_HM = UPSMON_EAST_HM - UPSMON_Ammountofhostility; + }; + + case resistance: + { + KILLED_CIV_COUNTER set [3,(KILLED_CIV_COUNTER select 3) + 1]; + UPSMON_GUER_HM = UPSMON_GUER_HM - UPSMON_Ammountofhostility; + }; + }; + + KILLED_CIV_COUNTER set [4,_killer]; + + //if (UPSMON_Debug > 0) then {player globalchat format["KILLER: %1", side _killer ]}; + if (UPSMON_Debug > 0) then {player globalchat format["KILLED_CIV_COUNTER: %1",KILLED_CIV_COUNTER]}; + if (R_WHO_IS_CIV_KILLER_INFO > 0) then + { + call compile format ["[{UPSMON_Logic_civkill globalChat ""A CIVILIAN WAS KILLED BY %1"";},""BIS_fnc_spawn""] call BIS_fnc_MP;",name _killer]; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrInStr.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrInStr.sqf new file mode 100644 index 0000000000000000000000000000000000000000..245c303700b23e9d4ce0a8b0098a39625e37b813 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrInStr.sqf @@ -0,0 +1,16 @@ +/**************************************************************** +File: UPSMON_StrInStr.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_out"]; + +_in=_this select 0; +_out=if (([_this select 0,_this select 1] call UPSMON_StrIndex)==-1) then {false} else {true}; +_out \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrIndex.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrIndex.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4844118ecf3ff7acef3cdaeb3e6c31ca36dbef36 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrIndex.sqf @@ -0,0 +1,31 @@ +/**************************************************************** +File: UPSMON_StrIndex.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_hay","_ndl","_lh","_ln","_arr","_tmp","_i","_j","_out"]; + +_hay=_this select 0; +_ndl=_this select 1; +_out=-1; +_i=0; +if (_hay == _ndl) exitWith {0}; +_lh=[_hay] call UPSMON_StrLen; +_ln=[_ndl] call UPSMON_StrLen; +if (_lh < _ln) exitWith {-1}; +_arr=[_hay] call UPSMON_StrToArray; +for "_i" from 0 to (_lh-_ln) do +{ + _tmp=""; + for "_j" from _i to (_i+_ln-1) do { + _tmp=_tmp + (_arr select _j); + }; + if (_tmp==_ndl) exitWith {_out=_i}; +}; +_out \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrLen.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrLen.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9d807b572a62ae01d73c1798a2aca1699c1e3d2f --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrLen.sqf @@ -0,0 +1,17 @@ +/**************************************************************** +File: UPSMON_StrLen.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_in","_arr","_len"]; + +_in=_this select 0; +_arr=[_in] call UPSMON_StrToArray; +_len=count (_arr); +_len \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrToArray.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrToArray.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4123b9d369cc9a10e454259d113768480ca99c3d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrToArray.sqf @@ -0,0 +1,20 @@ +/**************************************************************** +File: UPSMON_StrToArray.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_in","_i","_arr","_out"]; + +_in=_this select 0; +_arr = toArray(_in); +_out=[]; +for "_i" from 0 to (count _arr)-1 do { + _out=_out+[toString([_arr select _i])]; +}; +_out \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6066d34f0c91a7d68df59917647a277d7c54c117 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK.sqf @@ -0,0 +1,107 @@ +/**************************************************************** +File: UPSMON_TRACK.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_grpid","_leader","_pos","_rankshort","_lastname","_wppos","_markercolor","_grptype","_drawicon","_text","_trackername","_destname"]; + + +While {true} do +{ + { + If (!IsNull _x) then + { + If (alive (leader _x)) then + { + _grpid = _x getvariable ["UPSMON_grpid",0]; + _leader = leader _x; + _pos = getposATL _leader; + _rankshort = [rank _leader,"displayNameShort"] call BIS_fnc_rankparams; + _lastname = name _leader; + _units = (units _x) - [_leader]; + + _wppos = waypointPosition [_x,count(waypoints _x)-1]; + + _markercolor = switch (side _leader) do { + case west: {"ColorBlue"}; + case east: {"ColorRed"}; + case resistance: {"ColorGreen"}; + default {"ColorBlack"}; + }; + + _grptype = [_leader] call UPSMON_grptype; + _drawicon = "b_inf"; + If (_grptype == "Iscar") then {_drawicon = "b_motor_inf"}; + If (_grptype == "IsAir") then {_drawicon = "b_plane";}; + If (_grptype == "Isboat") then {_drawicon = "b_naval";}; + + _text = format ["%1. %2 - Grpcount: %3 - Mission: %4 Status: %5 - Target: %6",_rankshort, _lastname,count units _x,_x getvariable ["UPSMON_Grpmission","PATROL"],_x getvariable ["UPSMON_Grpstatus","GREEN"],_x getvariable ["UPSMON_GrpTarget",ObjNull]]; + + _trackername = format["trk_%1",_grpid]; + + if (getMarkerColor _trackername == "") then + { + _markerlead = createMarker [_trackername,[0,0]]; + }; + _trackername setMarkerShape "ICON"; + _trackername setMarkerType _drawicon; + _trackername setmarkerpos _pos; + _trackername setmarkercolor _markercolor; + _trackername setMarkerText _text; + + If (count(waypoints _x) != 0) then + { + _destname = format["dest_%1",_grpid]; + _wptext = format ["%1. %2",_rankshort, _lastname]; + if (getMarkerColor _destname == "") then + { + _markerobj = createMarker[_destname,[0,0]]; + }; + _destname setMarkerShape "ICON"; + _destname setMarkerType "mil_objective"; + _destname setmarkerpos _wppos; + _destname setmarkercolor _markercolor; + _destname setMarkerText _wptext; + }; + + If (count _units > 0) then + { + _i = 0; + { + _i = _i + 1; + _trackerunit = format["trk_%1_%2",_grpid,_i]; + _unit = _x; + If (alive _unit) then + { + _pos2 = getposATL _unit; + if (getMarkerColor _trackerunit == "") then + { + _markerunit = createMarker [_trackerunit,[0,0]]; + }; + _trackerunit setMarkerShape "ICON"; + _trackerunit setMarkerType "mil_triangle"; + _trackerunit setmarkerpos _pos2; + _trackerunit setmarkercolor _markercolor; + _trackerunit setmarkerdir (getdir _unit); + } + else + { + if (getMarkerColor _trackerunit == "") then + { + Deletemarker _trackerunit; + }; + }; + } foreach _units; + }; + }; + }; + } foreach UPSMON_Trackednpcs; + + sleep 0.5; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK2.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK2.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4a5ac9ce249d144ee9748944a582ff35675a0a6a --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK2.sqf @@ -0,0 +1,132 @@ +/**************************************************************** +File: UPSMON_TRACK.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_grp"]; + + +_grp = _this select 0; +If !(_grp in UPSMON_Trackednpcs) then {UPSMON_Trackednpcs set [count UPSMON_Trackednpcs,_grp];}; +_eh = ((findDisplay 12) displayCtrl 51) ctrlAddEventHandler +["Draw", +' + { + If (!IsNull _x) then + { + if (count units _x > 0) then + { + _leader = leader _x; + _rankshort = [rank _leader,"displayNameShort"] call BIS_fnc_rankparams; + _lastname = name _leader; + _scale = (sizeof typeof _leader) / 30; + _units = (units _x) - [_leader]; + _colorblufor = [(profilenamespace getvariable ["Map_BLUFOR_R",0]),(profilenamespace getvariable ["Map_BLUFOR_G",1]),(profilenamespace getvariable ["Map_BLUFOR_B",1]),(profilenamespace getvariable ["Map_BLUFOR_A",0.8])]; + _coloropfor = [(profilenamespace getvariable ["Map_OPFOR_R",0]),(profilenamespace getvariable ["Map_OPFOR_G",1]),(profilenamespace getvariable ["Map_OPFOR_B",1]),(profilenamespace getvariable ["Map_OPFOR_A",0.8])]; + _colorindfor = [(profilenamespace getvariable ["Map_Independent_R",0]),(profilenamespace getvariable ["Map_Independent_G",1]),(profilenamespace getvariable ["Map_Independent_B",1]),(profilenamespace getvariable ["Map_Independent_A",0.8])]; + _colorciv = [(profilenamespace getvariable ["Map_Civilian_R",0]),(profilenamespace getvariable ["Map_Civilian_G",1]),(profilenamespace getvariable ["Map_Civilian_B",1]),(profilenamespace getvariable ["Map_Civilian_A",0.8])]; + _color = []; + if (side _leader == west) then {_color = _colorblufor;}; + if (side _leader == east) then {_color = _coloropfor;}; + if (side _leader == resistance) then {_color = _colorindfor;}; + if (side _leader == civilian) then {_color = _colorciv;}; + + _align = "right"; + _fontsize = 0.04; + + _grptype = [_leader] call UPSMON_grptype; + _drawicon = configfile >> "CfgMarkers" >> "b_inf" >> "icon"; + _drawwpicon = configfile >> "CfgMarkers" >> "mil_objective" >> "icon"; + If (_grptype == "Iscar") then {_drawicon = configfile >> "CfgMarkers" >> "b_motor_inf" >> "icon";}; + If (_grptype == "IsAir") then {_drawicon = configfile >> "CfgMarkers" >> "b_plane" >> "icon";}; + If (_grptype == "Isboat") then {_drawicon = configfile >> "CfgMarkers" >> "b_naval" >> "icon";}; + + _align = "left"; + _textwp = ""; + _text = format ["%1. %2 - Grpcount: %3 - Mission: %4 Status: %5 - Target: %6",_rankshort, _lastname,count units _x,_x getvariable ["UPSMON_Grpmission","PATROL"],_x getvariable ["UPSMON_Grpstatus","GREEN"],_x getvariable ["UPSMON_GrpTarget",ObjNull]]; + + (_this select 0) drawIcon [ + getText _drawicon, + _color, + visiblePosition _leader, + 0.5/ctrlMapScale (_this select 0), + 0.5/ctrlMapScale (_this select 0), + direction _leader, + --, + 1, + _fontsize, + "TahomaB", + _align + ]; + If (count(waypoints _x) != 0) then + { + _wppos = waypointPosition [_x,count(waypoints _x)-1]; + (_this select 0) drawIcon [getText (_drawwpicon), _color,_wppos, 0.5/ctrlMapScale (_this select 0), 0.5/ctrlMapScale (_this select 0), direction _leader, _textwp, 1, _fontsize, "TahomaB", _align]; + }; + _behcolor = [1,1,1,1]; + if (behaviour _leader == "SAFE") then {_behcolor = [0,0.8,0,1]}; + if (behaviour _leader == "AWARE") then {_behcolor = [0.85,0.85,0,1]}; + if (behaviour _leader == "COMBAT") then {_behcolor = [0.9,0,0,1]}; + if (behaviour _leader == "STEALTH") then {_behcolor = [0,0,1,1]}; + if !(((expectedDestination _leader) select 0) select 0 < 1 AND ((expectedDestination _leader) select 0) select 1 < 1) then + { + (_this select 0) drawArrow [ + visiblePosition _leader, + ((expectedDestination _leader) select 0), + _behcolor + ]; + }; + }; + }; + } foreach UPSMON_Trackednpcs +' +]; + +/**************************************************************** +_eh = ((findDisplay 12) displayCtrl 51) ctrlAddEventHandler +[ + "Draw" +,' + _leader = leader _grp; + _rankshort = [rank _leader,"displayNameShort"] call BIS_fnc_rankparams; + _lastname = name _leader; + _scale = (sizeof typeof _leader) / 30; + _colorblufor = [(profilenamespace getvariable ["Map_BLUFOR_R",0]),(profilenamespace getvariable ["Map_BLUFOR_G",1]),(profilenamespace getvariable ["Map_BLUFOR_B",1]),(profilenamespace getvariable ["Map_BLUFOR_A",0.8])]; + _coloropfor = [(profilenamespace getvariable ["Map_OPFOR_R",0]),(profilenamespace getvariable ["Map_OPFOR_G",1]),(profilenamespace getvariable ["Map_OPFOR_B",1]),(profilenamespace getvariable ["Map_OPFOR_A",0.8])]; + _colorindfor = [(profilenamespace getvariable ["Map_Independent_R",0]),(profilenamespace getvariable ["Map_Independent_G",1]),(profilenamespace getvariable ["Map_Independent_B",1]),(profilenamespace getvariable ["Map_Independent_A",0.8])]; + _colorciv = [(profilenamespace getvariable ["Map_Civilian_R",0]),(profilenamespace getvariable ["Map_Civilian_G",1]),(profilenamespace getvariable ["Map_Civilian_B",1]),(profilenamespace getvariable ["Map_Civilian_A",0.8])]; + _color = []; + if (side _leader == west) then {_color = _colorblufor;}; + if (side _leader == east) then {_color = _coloropfor;}; + if (side _leader == resistance) then {_color = _colorindfor;}; + if (side _leader == civilian) then {_color = _colorciv;}; + + _align = "right"; + _fontsize = 0.04; + + _grptype = [_leader] call UPSMON_grptype; + _drawicon = configfile >> "CfgMarkers" >> "b_inf" >> "icon"; + If (_grptype == "Iscar") then {_drawicon = configfile >> "CfgMarkers" >> "b_motor_inf" >> "icon";}; + If (_grptype == "IsAir") then {_drawicon = configfile >> "CfgMarkers" >> "b_plane" >> "icon";}; + If (_grptype == "Isboat") then {_drawicon = configfile >> "CfgMarkers" >> "b_naval" >> "icon";}; + + _align = "left"; + _unitshit = []; + {if (damage _x >= 0.65) then {_unitshit set [count _unitshit,_x];}}foreach units _leader; + _text = format ["%1. %2 - Grpcount: %3 - Wounding units: %4",_rankshort, _lastname,count units group _leader,count _unitshit]; + + (_this select 0) drawIcon [getText (_drawicon), _color, visiblePosition _leader, 0.5/ctrlMapScale (_this select 0), 0.5/ctrlMapScale (_this select 0), direction _leader, _text, 1, _fontsize, "TahomaB", _align]; + _behcolor = [1,1,1,1]; + if (behaviour _leader == "SAFE") then {_behcolor = [0.85,0.85,0,1]}; + if (behaviour _leader == "AWARE") then {_behcolor = [0,0.8,0,1]}; + if (behaviour _leader == "COMBAT") then {_behcolor = [0.9,0,0,1]}; + if (behaviour _leader == "STEALTH") then {_behcolor = [0,0,1,1]}; + if !(((expectedDestination _leader) select 0) select 0 < 1 AND ((expectedDestination _leader) select 0) select 1 < 1) then { (_this select 0) drawArrow [visiblePosition _leader, ((expectedDestination _leader) select 0), _behcolor];};' +]; +****************************************************************/ \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_arrayShufflePlus.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_arrayShufflePlus.sqf new file mode 100644 index 0000000000000000000000000000000000000000..db9b8073c7cbb28866ed8554a3c92eee97933c2e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_arrayShufflePlus.sqf @@ -0,0 +1,26 @@ +/**************************************************************** +File: UPSMON_arrayShufflePlus.sqf +Author: KillZoneKid + +Description: + +Parameter(s): + <--- Array +Returns: + Array +****************************************************************/ + +private ["_cnt","_el1","_rnd","_indx","_el2"]; + +_cnt = count _this - 1; +_el1 = _this select _cnt; +_this resize _cnt; +_rnd = random diag_tickTime * _cnt; +for "_i" from 0 to _cnt do { + _indx = floor random _rnd % _cnt; + _el2 = _this select _indx; + _this set [_indx, _el1]; + _el1 = _el2; +}; +_this set [_cnt, _el1]; +_this \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_checkbackpack.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_checkbackpack.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1bcf3b8b2e224d69eb348e1938181a2f1c859fb1 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_checkbackpack.sqf @@ -0,0 +1,30 @@ +/**************************************************************** +File: UPSMON_checkbackpack.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- bagpack +Returns: + ---> Gun type classname + ---> tripod type classname +****************************************************************/ +private ["_bagpack","_cfg","_parents","_result","_gun","_tripod","_gun"]; + +_bagpack = _this select 0; +_cfg = (configFile >> "cfgVehicles" >> _bagpack); +_parents = [_cfg,true] call BIS_fnc_returnParents; + +_result = []; +_gun = ""; +_tripod = []; + +if ("Weapon_Bag_Base" in _parents) then +{ + _gun = gettext (configFile >> "cfgVehicles" >> _bagpack >> "assembleInfo" >> "assembleTo"); + _tripod = getarray (configFile >> "cfgVehicles" >> _bagpack >> "assembleInfo" >> "base"); + _result = [_gun,_tripod]; +}; + +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_createmarker.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_createmarker.sqf new file mode 100644 index 0000000000000000000000000000000000000000..89b2824235ed3a519bdef493b9af0b4057d84407 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_createmarker.sqf @@ -0,0 +1,33 @@ +/**************************************************************** +File: UPSMON_createmarker.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_pos","_m","_shape","_type","_color","_size"]; + +_pos = _this select 0; +_shape = _this select 1; +_type = _this select 2; +_color = _this select 3; +_size = 1; +If (count _this > 4) then {_size = _this select 4;}; + +_m = createMarker [format["mPos%1%2",(floor(_pos select 0)),(floor(_pos select 1))],_pos]; +_m setmarkerColor _color; +_m setMarkerShape _shape; +If (_shape != "ICON") then +{ + _m setMarkerSize _size; + _m setMarkerBrush _type +} +else +{ + _m setMarkerType _type; + If (count _this > 4) then {_m setMarkerText (_this select 4);}; +}; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_filter.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_filter.sqf new file mode 100644 index 0000000000000000000000000000000000000000..2e5f5128b3d7785ccf09e71353ec964d314ea049 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_filter.sqf @@ -0,0 +1,45 @@ +/**************************************************************** +File: UPSMON_fnc_filter.sqf +Author: Robalo + +Description: + Filter cover objects +Parameter(s): + <--- Object +Returns: + boolean +****************************************************************/ +private ["_type","_z","_bbox","_dz","_dy"]; + +if (_this isKindOf "Man") exitWith {false}; +if (_this isKindOf "STATICWEAPON") exitWith {false}; +if (_this isKindOf "Bird") exitWith {false}; +if (_this isKindOf "BulletCore") exitWith {false}; +if (_this isKindOf "Grenade") exitWith {false}; +if (_this isKindOf "WeaponHolder") exitWith {false}; +if (_this isKindOf "WeaponHolderSimulated") exitWith {false}; +if (_this isKindOf "Sound") exitWith {false}; +//if (!isTouchingGround _this) exitWith {false}; +if (isBurning _this) exitWith {false}; +if (["slop", (format ["%1", _this])] call BIS_fnc_inString) exitWith {false}; +if (["fence", (format ["%1", _this])] call BIS_fnc_inString) then +{ + If (!(_this isKindOf "Strategic")) exitwith {false}; +}; + +_type = typeOf _this; +if (_type == "") then +{ + if (damage _this == 1) exitWith {false}; +} else { + //if (_type in ["#soundonvehicle","#mark","#crater","#crateronvehicle","#soundonvehicle","#particlesource","#lightpoint","#slop"]) exitWith {false}; +}; + +_z = (getPosATL _this) select 2; +if (_z > 0.3) exitWith {false}; +_bbox = boundingBoxReal _this; +_dz = ((_bbox select 1) select 2) - ((_bbox select 0) select 2); +_dy = abs(((_bbox select 1) select 0) - ((_bbox select 0) select 0));//width +if ((_dz > 0.35) && (_dy > 0.35) ) exitWith {true}; + +false \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_find_cover.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_find_cover.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9466771d706f3c9021f410486862f19c81021634 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_find_cover.sqf @@ -0,0 +1,89 @@ +/**************************************************************** +File: UPSMON_fnc_find_cover.sqf +Author: OLLEM + +Description: + Make a group move to cover +Parameter(s): + <--- Leader position + <--- Position to watch + <--- Radius searching + <--- Do the unit move or spawn to the cover position ? + <--- Array of group units +Returns: + Nothing +****************************************************************/ + +private ["_unitpos","_lookpos","_dist","_spawn","_units","_i","_objects","_vdir","_cpos","_object","_coverPosition"]; + +_unitpos = _this select 0; +_lookpos = _this select 1; +_dist = _this select 2; +_spawn = _this select 3; +_units = _this select 4; + +_i = 0; +If (count _this > 5) then {_i = _this select 5;}; + +If (_i > 3) exitwith {_units}; + +if (_spawn) then +{ + { + _pos2 = _unitpos findEmptyPosition [1,25]; + _x setposATL _pos2; + }foreach _units; +}; + +_movetocover = []; + +(group (_units select 0)) setvariable ["UPSMON_Cover",true]; +if (UPSMON_Debug>0) then {player sidechat "Cover"}; +//potential cover objects list +_objects = [(nearestObjects [_unitpos, [], _dist]), { _x call UPSMON_fnc_filter } ] call BIS_fnc_conditionalSelect; + +_vdir = [_unitpos, _lookpos] call BIS_fnc_DirTo; + +{ + If (alive _x) then + { + If (count _objects > 0) then + { + _object = _objects select 0; + _objects = _objects - [_object]; + If (!IsNull _object) then + { + //_x is potential cover object + _cPos = (getPosATL _object); + + //set coverposition to 1.3 m behind the found cover + _coverPosition = [(_cPos select 0) - (sin(_vdir)*1.5), (_cPos select 1) - (cos(_vdir)*1.5), 0]; + + //Any object which is high and wide enough is potential cover position, excluding water + if (!(surfaceIsWater _coverPosition)) exitwith + { + + if (UPSMON_Debug>0) then + { + _ballCover = "sign_sphere100cm_F" createvehicle _coverPosition; + _ballCover setpos _coverPosition; + diag_log format ["object: %1",_object]; + }; + + _movetocover pushback _x; + [_x,[_object, _coverPosition],_lookpos,_spawn] spawn UPSMON_fnc_move_to_cover; + }; + }; + }; + }; +} foreach _units; + +_units = _units - _movetocover; + +If (count _units > 0) then +{ + _i = _i + 1; + _units = [_unitpos,_lookpos,_dist,_spawn,_units] call UPSMON_fnc_find_cover; +}; + +_units; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_move_to_cover.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_move_to_cover.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f605d0796ca830956aaad64e1630741db46b5f38 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_move_to_cover.sqf @@ -0,0 +1,88 @@ +/**************************************************************** +File: UPSMON_fnc_move_to_cover.sqf +Author: OLLEM + +Description: + Make a group move to cover +Parameter(s): + <--- unit + <--- Cover Array + <--- Cover object + <--- Cover position + <--- Position to watch + <--- Do the unit move or spawn to the cover position ? +Returns: + Nothing +****************************************************************/ + +private ["_unit","_coverArray","_lookpos","_spawn","_cover","_coverPosition","_coverDist","_stopped","_continue","_checkTime","_dist","_sight"]; + +_unit = _this select 0; +_coverArray = _this select 1; +_lookpos = _this select 2; +_spawn = _this select 3; + +_cover = _coverArray select 0; +_coverPosition = _coverArray select 1; + +if (_spawn) then +{ + _unit setposATL _coverPosition; + doStop _unit; + + if (_unit == leader (group _unit) || random 100 < 50) then + { + [_unit,_lookpos] call UPSMON_dowatch; + }; +} +else +{ + Dostop _unit; + _unit domove _coverPosition; + _unit forceSpeed 100; + _unit setDestination [_coverPosition, "LEADER PLANNED", true]; + + _coverDist = round ([getposATL _unit,_coverPosition] call UPSMON_distancePosSqr); + + _stopped = true; + _continue = true; + + _checkTime = (time + (1.7 * _coverDist) + 20); + + while { _continue } do + { + + _dist = ([getposATL _unit,_coverPosition] call UPSMON_distancePosSqr); + + if (!(unitReady _unit) && (alive _unit) && (_dist > 1.25) && (_unit getvariable ["UPSMON_SUPSTATUS",""] == "")) then + { + //if unit takes too long to reach cover or moves too far out stop at current location + if (time <= _checkTime) then + { + _continue = false; + } + else + { + //_coverPosition = getPosATL _unit; + //_unit doMove _coverPosition; + + //_continue = true; + }; + } + else + { + _continue = false; + _stopped = false; + }; + }; + + _unit forcespeed -1; + if (!( _stopped)) then + { + doStop _unit; + _unit setBehaviour "STEALTH"; + _sight = [_unit,getdir _unit, 50] call UPSMON_CanSee; + If (!_sight) then {_unit setUnitPos "MIDDLE";}; + }; +}; + \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/init.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ee439033106692dc960d0137fc91183faef4d61b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/init.sqf @@ -0,0 +1,5 @@ + +UPSMON_fnc_move_to_cover = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Cover\fnc\UPSMON_fnc_move_to_cover.sqf"; + +UPSMON_fnc_find_cover = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Cover\fnc\UPSMON_fnc_find_cover.sqf"; +UPSMON_fnc_filter = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Cover\fnc\UPSMON_fnc_filter.sqf"; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/Init.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..58cd59a3a759ad67bf40584092c8873ca7e020c4 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/Init.sqf @@ -0,0 +1,20 @@ + +UPSMON_getleader = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_getleader.sqf"; +UPSMON_SetLeaderGrp = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_SetLeaderGrp.sqf"; +UPSMON_getunits = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_getunits.sqf"; +UPSMON_getNearestSoldier = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_getNearestSoldier.sqf"; + +UPSMON_grptype = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_grptype.sqf"; +UPSMON_GetStaticTeam = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_GetStaticTeam.sqf"; +UPSMON_composeteam = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_composeteam.sqf"; +UPSMON_analysegrp = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_analysegrp.sqf"; +UPSMON_supstatestatus = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_supstatestatus.sqf"; +UPSMON_checkmunition = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_checkmunition.sqf"; + +UPSMON_Isgrpstuck = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_Isgrpstuck.sqf"; +UPSMON_IsRetreating = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_IsRetreating.sqf"; +UPSMON_IsSurrending = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_IsSurrending.sqf"; +UPSMON_Cangrpmaneuver = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_Cangrpmaneuver.sqf"; +UPSMON_Supressfire = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_Supressfire.sqf"; + +UPSMON_ChangeFormation = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_ChangeFormation.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Cangrpmaneuver.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Cangrpmaneuver.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6d800c02d82ab9e6a150e34334916f5c155381e8 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Cangrpmaneuver.sqf @@ -0,0 +1,34 @@ + +private ["_grp","_nowp","_attackpos","_typeofgrp","_maneuver"]; + +_grp = _this select 0; +_nowp = _this select 1; +_attackpos = _this select 2; +_typeofgrp = _this select 3; + +_maneuver = false; + +If (!_nowp) then +{ + If (count _attackpos > 0) then + { + If (!("static" in _typeofgrp)) then + { + If (!("arti" in _typeofgrp)) then + { + If (!("supply" in _typeofgrp)) then + { + If (_grp getvariable ["UPSMON_TIMEORDER",time] <= time) then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "TRANSPORT") then + { + _maneuver = true; + }; + }; + }; + }; + }; + }; +}; + +_maneuver; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_ChangeFormation.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_ChangeFormation.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4ebfd80805a7f0fe9a4f88ea740884628349a6e2 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_ChangeFormation.sqf @@ -0,0 +1,171 @@ +/**************************************************************** +File: UPSMON_SetStances.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private ["_grp","_supstatus","_attackpos","_dist","_terrainscan","_haslos","_time"]; + +_grp = _this select 0; +_supstatus = _this select 1; +_attackpos = _this select 2; +_dist = _this select 3; +_terrainscan = _this select 4; +_haslos = _this select 5; +_typeofgrp = _this select 6; + +If (!(_grp getvariable ["UPSMON_haschangedformation",false])) then +{ + _grp setvariable ["UPSMON_haschangedformation",true]; + If ("air" in _typeofgrp) then + { + If ((Speedmode _grp) != "FULL") then + { + _grp setspeedmode "FULL"; + }; + } + else + { + If (_supstatus != "SUPRESSED") then + { + If (count _attackpos > 0) then + { + If (_dist > 500 || !_haslos) then + { + If (vehicle (leader _grp) == (leader _grp)) then + { + If ((Speedmode _grp) != "NORMAL") then + { + _grp setspeedmode "NORMAL"; + }; + If (_dist < 200) then + { + If ((Formation _grp) != "LINE") then + { + _grp setformation "LINE"; + }; + } + else + { + If ((Formation _grp) != "STAG COLUMN") then + { + _grp setformation "STAG COLUMN"; + }; + }; + }; + } + else + { + If (_dist > 150) then + { + If (!(Behaviour (leader _grp) in ["COMBAT","STEALTH"])) then + { + _grp setBehaviour "COMBAT"; + }; + + If ((Formation _grp) != "WEDGE") then + { + _grp setformation "WEDGE"; + }; + }; + + If (_dist <= 150) then + { + If ((_terrainscan select 0) == "forest" || (_terrainscan select 0) == "inhabited") then + { + If ((Speedmode _grp) != "LIMITED") then + { + _grp setspeedmode "LIMITED"; + }; + + if ((_terrainscan select 0) == "inhabited") then + { + If ((_terrainscan select 1) > 230) then + { + If ((Formation _grp) != "STAG COLUMN") then + { + _grp setformation "STAG COLUMN"; + }; + }; + }; + }; + + If ((_terrainscan select 0) == "meadow") then + { + If ((Speedmode _grp) != "FULL") then + { + _grp setspeedmode "FULL"; + }; + If ((Formation _grp) != "LINE") then + { + _grp setformation "LINE"; + }; + }; + }; + }; + }; + } + else + { + If (_supstatus != "") then + { + If ((behaviour (leader _grp)) != "COMBAT") then + { + (leader _grp) setbehaviour "COMBAT"; + }; + + If ((_terrainscan select 0) == "meadow") then + { + If (Speedmode _grp != "NORMAL") then + { + _grp setspeedmode "NORMAL"; + }; + }; + + If ((_terrainscan select 0) == "forest" || (_terrainscan select 0) == "inhabited") then + { + If ((Speedmode _grp) != "LIMITED") then + { + _grp setspeedmode "LIMITED"; + }; + + If ((Formation _grp) != "DIAMOND") then + { + _grp setformation "DIAMOND"; + }; + }; + } + else + { + If ((Speedmode _grp) != "LIMITED") then + { + _grp setSpeedmode "LIMITED"; + }; + + If ((Behaviour (leader _grp)) != "STEALTH") then + { + _grp setBehaviour "STEALTH"; + }; + }; + }; + }; +}; + +[_grp] spawn +{ + private ["_grp"]; + + _grp = _this select 0; + + sleep 20; + If (!IsNull _grp) then + { + _grp setvariable ["UPSMON_haschangedformation",false]; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GetStaticTeam.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GetStaticTeam.sqf new file mode 100644 index 0000000000000000000000000000000000000000..601cb91f501a6b5fbf83f5e44c33df7b4af79aa2 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GetStaticTeam.sqf @@ -0,0 +1,54 @@ +/**************************************************************** +File: UPSMON_GetStaticTeam.sqf +Author: Azroul13 + +Description: + Check if group has weapon in bag (gun barrel and tripod) +Parameter(s): + <--- group +Returns: + ---> Static Team [Gunner,Assistant] + ---> Class of the static +****************************************************************/ + +private ["_grp","_position","_targetpos","_result","_staticTeam","_vehicle","_tripods","_unit","_backpack","_lots"]; + +_grp = _this select 0; + +_result = []; +_staticTeam = []; +_vehicle = []; +_tripods = []; + +{ + if (alive _x) then + { + _unit = _x; + _backpack = backpack _Unit; + If (_backpack != "") then + { + _lots = [_backpack] call UPSMON_checkbackpack; + if (count _lots > 0) exitwith {_vehicle = _lots select 0; _tripods = _lots select 1; _staticTeam pushback _x;}; + }; + }; +} foreach units _grp; + +if (count _staticTeam > 0) then +{ + + { + if (alive _x) then + { + _unit = _x; + _backpack = backpack _Unit; + If (_backpack != "") then + { + if (_backpack in _tripods) exitwith {_staticTeam pushback _x;}; + }; + }; + + } foreach units _grp; +}; + +_result = [_staticTeam,_vehicle]; +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GothitParam.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GothitParam.sqf new file mode 100644 index 0000000000000000000000000000000000000000..b2f440ff7f3d14573363e5aba4464b97bbd700b3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GothitParam.sqf @@ -0,0 +1,35 @@ +/**************************************************************** +File: UPSMON_GothitParam.sqf +Author: Azroul13 + +Description: + Is the unit hit ? Or Does it under fire ? + +Parameter(s): + <--- unit +Returns: + Boolean +****************************************************************/ + +private ["_npc","_gothit"]; + +_npc = _this select 0; +_gothit = false; + +If (isNil "tpwcas_running") then +{ + if (group _npc in UPSMON_GOTHIT_ARRAY || group _npc in UPSMON_GOTKILL_ARRAY) then + { + _gothit = true; + }; +} +else +{ + _Supstate = [_npc] call UPSMON_supstatestatus; + if (group _npc in UPSMON_GOTHIT_ARRAY || group _npc in UPSMON_GOTKILL_ARRAY || _Supstate >= 2) then + { + _gothit = true; + }; +}; + +_gothit \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsRetreating.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsRetreating.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a03f9920a17558dbc995e32121bf1d36dd54aada --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsRetreating.sqf @@ -0,0 +1,44 @@ + +if (true) exitWith {}; //BARBOLANI: will disable this feature as Antistasi has all UPSMon units as garrisoned ones and it's very bugged. + +private ["_grp","_dist","_ratio","_supstatus","_unitsneedammo","_typeofgrp","_assignedvehicles","_attackpos"]; + +_grp = _this select 0; +_dist = _this select 1; +_ratio = _this select 2; +_supstatus = _this select 3; +_unitsneedammo = _this select 4; +_typeofgrp = _this select 5; +_attackpos = _this select 6; +_assignedvehicles = _this select 7; + + +If (_grp getvariable ["UPSMON_Grpmission",""] != "RETREAT") then +{ + If (!("static" in _typeofgrp)) then + { + If (_ratio > 2 || (count units _grp) == count _unitsneedammo || (_supstatus != "INCAPACITED") || ("arti" in _typeofgrp) || ("support" in _typeofgrp)) then + { + If (_dist >= 300) then + { + If (_supstatus != "SUPRESSED") then + { + If (!(fleeing (leader _grp))) then + { + //If ((random 100) <= (call (compile format ["UPSMON_%1_RETREAT",(_grp getvariable ["UPSMON_Origin",[]]) select 5]))) then//modified to avoid .rpt bugs + If ((random 100) <= 10) then + { + [_grp,_attackpos,_typeofgrp,_assignedvehicles] spawn UPSMON_DORETREAT; + _grp setvariable ["UPSMON_Grpmission","RETREAT"]; + _grpstatus = "BLUE"; + If (_AttackPos select 0 != 0 && _AttackPos select 1 != 0) then + { + if (side (leader _grp) != buenos) then {[[_attackPos,(side(leader _grp)),"",false],"A3A_fnc_patrolCA"] remoteExec ["A3A_fnc_scheduler",2]}; + };//by Barbolani so AAF UPSMon garrisons call QRF + }; + }; + }; + }; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsSurrending.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsSurrending.sqf new file mode 100644 index 0000000000000000000000000000000000000000..2bacf8f6e61873adf6ecf3bd7cf60ca2df631246 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsSurrending.sqf @@ -0,0 +1,38 @@ + +private ["_grp","_dist","_ratio","_supstatus","_unitsneedammo","_typeofgrp","_haslos"]; + +_grp = _this select 0; +_dist = _this select 1; +_ratio = _this select 2; +_supstatus = _this select 3; +_unitsneedammo = _this select 4; +_typeofgrp = _this select 5; +_haslos = _this select 6; + + +If (_grp getvariable ["UPSMON_Grpmission",""] != "RETREAT") then +{ + If (UPSMON_SURRENDER) then + { + If ((random 100) <= (call (compile format ["UPSMON_%1_SURRENDER",(_grp getvariable ["UPSMON_Origin",[]]) select 5]))) then + { + If (!("air" in _typeofgrp)) then + { + If (_ratio > 2 || ((count units _grp) == count _unitsneedammo) || (_supstatus != "")) then + { + If (_supstatus == "SUPRESSED") then + { + If (_dist < 300) then + { + If (_haslos) then + { + _grp setvariable ["UPSMON_Grpmission","SURRENDER"]; + _grpstatus = "BLUE"; + }; + }; + }; + }; + }; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Isgrpstuck.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Isgrpstuck.sqf new file mode 100644 index 0000000000000000000000000000000000000000..0d00caafcd7777b03e0c5c6d0f335379fb956731 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Isgrpstuck.sqf @@ -0,0 +1,73 @@ +/**************************************************************** +File: UPSMON_Isgrpstuck.sqf +Author: Azroul13 + +Description: + Check if the group is stuck +Parameter(s): + +Returns: + boolean +****************************************************************/ + +private ["_npc","_lastcurrpos","_currpos","_grp","_stuck","_rstuckControl"]; + +_npc = _this select 0; +_lastcurrpos = _this select 1; +_currpos = _this select 2; +_grp = group _npc; +_stuck = false; + +//Stuck control +If (alive _npc) then +{ + If (canmove _npc) then + { + If (!((vehicle _npc) iskindof "air")) then + { + If (_grp getvariable ["UPSMON_NOWP",0] == 0) then + { + If (_lastcurrpos select 0 == _currpos select 0 && _lastcurrpos select 1 == _currpos select 1) then + { + //time > _grp getvariable ["UPSMON_TIMEONTARGET",time] + If (_grp getvariable ["UPSMON_Grpmission",""] != "DEFEND") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "FORTIFY") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "AMBUSH") then + { + If (!(_npc getvariable ["UPSMON_searchingpos",false])) then + { + If (!(_grp getVariable ["UPSMON_movetolanding",false])) then + { + If (!(_grp getvariable ["UPSMON_embarking",false])) then + { + If (!((vehicle _npc) getvariable ["UPSMON_disembarking",false])) then + { + _rstuckControl = (_grp getvariable ["UPSMON_RSTUCKCONTROL",0]) + 1; + _grp setvariable ["UPSMON_RSTUCKCONTROL",_rstuckControl]; + + If (_rstuckControl >= 10) then + { + //[_npc] call UPSMON_cancelstop; + //{if (alive _x && leader _x != _x) then {_x dofollow (leader _x)};} foreach units _grp; + _grp setvariable ["UPSMON_RSTUCKCONTROL",0]; + _stuck = true; + + if (UPSMON_Debug>0) then {player sidechat format["%1 stucked, moving",_grp getvariable ["UPSMON_Grpid",0]]}; + if (UPSMON_Debug>0) then {diag_log format["%1 stuck for %2 seconds - trying to move again",_grp getvariable ["UPSMON_Grpid",0]]}; + }; + }; + }; + }; + }; + }; + }; + }; + }; + }; + }; + }; +}; + +_stuck \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_SetLeaderGrp.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_SetLeaderGrp.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a299b4f769737f36ef0fb73483d2d0c49fc19fd0 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_SetLeaderGrp.sqf @@ -0,0 +1,39 @@ +/**************************************************************** +File: UPSMON_SetLeaderGrp.sqf +Author: Azroul13 + +Description: + Set the leader of the group +Parameter(s): + <--- Unit or Group +Returns: + ---> Leader +****************************************************************/ + +private ["_unit","_Leader", "_grp"]; + +_unit = _this select 0; +_grp = group _unit; +_Leader = leader (_grp); + +if ((_unit iskindof "Man")) then { + + if(_unit != _Leader) then { + _grp selectLeader _unit; + }; + +} else { + + if (!isnull(commander _unit) ) then { + _unit = commander _unit; + }else{ + if (!isnull(driver _unit) ) then { + _unit = driver _unit; + }else{ + _unit = gunner _unit; + }; + }; + _grp selectLeader _unit; +}; + +_Leader \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Supressfire.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Supressfire.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a41b2a65b98ac2eb4e4d7827f1b52a571e56413e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Supressfire.sqf @@ -0,0 +1,56 @@ +private ["_units","_targetpos","_timeout","_delete","_unit","_target","_Pos","_direction"]; + +_units = _this select 0; +_targetpos = _this select 1; + +_timeout = time + 15; +while {_timeout > time && {alive _x} count _units > 0} do +{ + { + _delete = false; + If (alive _x) then + { + _unit = _x; + _target = _targetpos; + If (typename _targetpos == "ARRAY") then + { + _Pos = [_targetpos,[0,20],[0,360],0,[0,100],0] call UPSMON_pos; + _target = createVehicle ["UserTexture1m_F",[_Pos select 0,_Pos select 1,1], [], 0, "NONE"]; + _delete = true; + }; + + If ([_unit,_target,300,130] call UPSMON_Haslos) then + { + [_unit,_target,100] call UPSMON_DOwatch; + sleep 1; + _direction = [_unit, _target] call BIS_fnc_dirTo; + _unit setDir _direction; + _weapon = primaryweapon _unit; + _mode = getArray (configFile >> "cfgweapons" >> _weapon >> "modes"); + _firemode = "SINGLE"; + If (random 100 < 60) then + { + If ("fullauto_medium" in _mode) then {_firemode = "fullauto_medium";}; + If ("short" in _mode) then {_firemode = "short";}; + }; + if ((_mode select 0) == "this") then {_mode = _weapon}; + If (needReload _unit == 1) then {reload _unit}; + _unit selectWeapon (primaryweapon _unit); + _unit forceWeaponFire [ weaponState _unit select 1,_firemode]; + [_unit] spawn + { + sleep 5; + (_this select 0) doTarget ObjNull; + (_this select 0) dofire ObjNull; + (_this select 0) doWatch ObjNull; + }; + }; + + if (_delete) then + { + [_target] spawn {sleep 5; Deletevehicle (_this select 0)}; + }; + }; + } foreach _units; + sleep ((random 0.4) +0.4); +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_analysegrp.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_analysegrp.sqf new file mode 100644 index 0000000000000000000000000000000000000000..8b0944bf084dd2343426e7edca061761f3be5756 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_analysegrp.sqf @@ -0,0 +1,447 @@ +/**************************************************************** +File: UPSMON_analysegrp.sqf +Author: Azroul13 + +Description: + get all information about the group +Parameter(s): + <--- Group +Returns: + ----> type of the group (array) ["arti","infantry","incargo","tank","transport","armed","apc","car","ship","static","staticbag"] + ----> Capacity of the group (array) ["aa1","aa2","at1","at2","at3"] [AAcapability but without missile,AA missile,At Rocket,At missile,At gun] + ----> Assigned vehicles (array) +****************************************************************/ + +private ["_grp","_assignedvehicles","_typeofgrp","_capacityofgrp","_result","_vehicleClass","_MagazinesUnit","_Cargo","_gunner","_ammo","_irlock","_laserlock","_airlock","_checkbag","_staticteam","_points","_vehicle"]; +_grp = _this select 0; + +_assignedvehicles = []; +_typeofgrp = []; +_capacityofgrp = []; +_engagementrange = 600; +_result = []; +_points = 0; + +if (({alive _x} count units _grp) == 0) exitwith {_result = [_typeofgrp,_capacityofgrp,_assignedvehicles,_engagementrange];_result;}; + +_artibatteryarray = []; + +{ + If (alive _x) then + { + if ((vehicle _x) != _x && !(Isnull assignedVehicle _x) && !(_x in (assignedCargo assignedVehicle _x))) then + { + if (!((assignedVehicle _x) in _assignedvehicles)) then + { + _vehicle = assignedVehicle _x; + _assignedvehicles pushback _vehicle; + _MagazinesUnit = (magazines _vehicle); + _Cargo = getNumber (configFile >> "CfgVehicles" >> typeof _vehicle >> "transportSoldier"); + _armor = getNumber (configFile >> "CfgVehicles" >> typeof _vehicle >> "armor"); + _support = tolower gettext (configFile >> "CfgVehicles" >> typeof _vehicle >> "vehicleClass"); + _cfgArtillery = getnumber (configFile >> "cfgVehicles" >> typeOf (_vehicle) >> "artilleryScanner"); + _repair = getnumber (configFile >> "cfgVehicles" >> typeOf (_vehicle) >> "transportRepair"); + _fuel = getnumber (configFile >> "cfgVehicles" >> typeOf (_vehicle) >> "transportFuel"); + _munsupply = getnumber (configFile >> "cfgVehicles" >> typeOf (_vehicle) >> "attendant"); + + _gunner = gunner _vehicle; + _ammorated = []; + + _points = _points + 1; + + If (!IsNull _gunner) then + { + If (alive _gunner) then + { + { + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _x >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + _hit = getNumber (configfile >> "CfgAmmo" >> _ammo >> "hit"); + + if (_airlock == 1) then + { + if (_ammo iskindof "BulletBase") then + { + If (!("aa1" in _capacityofgrp)) then + { + _capacityofgrp pushback "aa1"; + }; + }; + }; + + if (_airlock == 2) then + { + if (!(_ammo iskindof "BulletBase")) then + { + If (!("aa2" in _capacityofgrp)) then + { + _capacityofgrp pushback "aa2"; + }; + }; + }; + + if (_irlock>0 || _laserlock>0) then + { + if (_ammo iskindof "MissileBase") then + { + If (!("at2" in _capacityofgrp)) then + { + _capacityofgrp pushback "at2"; + }; + }; + }; + + if (_ammo iskindof "ShellBase") then + { + if (!("arti" in _typeofgrp)) then + { + If (!("at3" in _capacityofgrp)) then + { + _capacityofgrp pushback "at3"; + }; + }; + }; + + if (_ammo iskindof "BulletBase") then + { + if (_hit >= 40) then + { + If (!("at1" in _capacityofgrp)) then + { + _capacityofgrp pushback "at1"; + }; + }; + }; + + If (!(_ammo in _ammorated)) then + { + _points = _points + _hit; + _ammorated pushback _ammo; + }; + + } foreach _MagazinesUnit; + }; + }; + + _points = _points + _armor; + + If (_vehicle iskindof "car") then + { + If (!("car" in _typeofgrp)) then + { + _typeofgrp pushback "car"; + }; + + If (_armor >= 500) then + { + If (!("heavy" in _typeofgrp)) then + { + _typeofgrp pushback "heavy"; + }; + }; + + If (_armor >= 250 && _armor < 500) then + { + If (!("medium" in _typeofgrp)) then + { + _typeofgrp pushback "medium"; + }; + }; + + If (_armor < 250) then + { + If (!("light" in _typeofgrp)) then + { + _typeofgrp pushback "light"; + }; + }; + }; + + If (_vehicle iskindof "staticweapon") then + { + If (!("static" in _typeofgrp)) then + { + _typeofgrp pushback "static"; + }; + }; + + If (_vehicle iskindof "air") then + { + If (!("air" in _typeofgrp)) then + { + _typeofgrp pushback "air"; + }; + }; + + If (_vehicle iskindof "PLANE") then + { + If ("aa2" in _capacityofgrp || "aa1" in _capacityofgrp || "at1" in _capacityofgrp || "at2" in _capacityofgrp) then + { + If (!("plane" in _typeofgrp)) then + { + _typeofgrp pushback "plane"; + }; + }; + }; + + If (_vehicle iskindof "Ship") then + { + If (!("Ship" in _typeofgrp)) then + { + _typeofgrp pushback "Ship"; + }; + }; + + If (_cargo >= 6) then + { + If (!("transport" in _typeofgrp)) then + { + _typeofgrp pushback "transport"; + }; + }; + + If (!IsNull (Gunner _vehicle)) then + { + If (!("armed" in _capacityofgrp)) then + { + _capacityofgrp pushback "armed"; + _engagementrange = 1000; + }; + }; + + If (_cfgArtillery == 1) then + { + If (!(_vehicle in _artibatteryarray)) then + { + _artibatteryarray pushback _vehicle; + _grp setvariable ["UPSMON_Battery",_artibatteryarray]; + }; + + If (!("arti" in _typeofgrp)) then + { + _typeofgrp pushback "arti"; + }; + }; + + If (_support == "Support") then + { + If (!("supply" in _typeofgrp)) then + { + _typeofgrp pushback "supply"; + }; + + If (_repair > 0) then + { + if (!("repair" in _capacityofgrp)) then + { + _capacityofgrp pushback "repair"; + }; + }; + + If (_fuel > 0) then + { + if (!("fuel" in _capacityofgrp)) then + { + _capacityofgrp pushback "fuel"; + }; + }; + + If (_munsupply > 0) then + { + if (!("ammo" in _capacityofgrp)) then + { + _capacityofgrp pushback "ammo"; + }; + }; + + If (!("support" in _typeofgrp)) then + { + _typeofgrp pushback "support"; + }; + }; + + if (_vehicle iskindof "tank" && !("tank" in _typeofgrp)) then + {_typeofgrp pushback "tank";}; + if (_vehicle iskindof "Wheeled_APC_F" && !("apc" in _typeofgrp)) then + {_typeofgrp pushback "apc";}; + + }; + } + else + { + If (vehicle _x != _x) then + { + If (!((assignedVehicle _x) in _assignedvehicles)) then + { + _assignedvehicles pushback (assignedVehicle _x); + } + }; + + _sweapon = secondaryWeapon _x; + _MagazinesUnit=(magazines _x); + _smagazineclass = []; + If (_sweapon != "") then + { + _smagazineclass = getArray (configFile >> "CfgWeapons" >> _sweapon >> "magazines"); + }; + _ammorated = []; + + _points = _points + 1; + + { + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _x >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + _hit = getNumber (configfile >> "CfgAmmo" >> _ammo >> "hit"); + + If (_airlock==2) then + { + if (!(_ammo iskindof "BulletBase")) then + { + If (_ammo in _smagazineclass) then + { + If (!("aa2" in _capacityofgrp)) then + { + _capacityofgrp pushback "aa2"; + }; + }; + }; + }; + + If (_irlock>0 || _laserlock>0) then + { + if ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) then + { + If (_ammo in _smagazineclass) then + { + If (!("at2" in _capacityofgrp)) then + { + _capacityofgrp pushback "at2"; + }; + }; + }; + }; + + If (_irlock==0 || _laserlock==0) then + { + if ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) then + { + If (_ammo in _smagazineclass) then + { + If (!("at1" in _capacityofgrp)) then + { + _capacityofgrp pushback "at1"; + }; + }; + }; + }; + + If (_ammo iskindof "ShellBase" || (_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase") && !(_ammo in _ammorated) && (_ammo in _smagazineclass)) then + { + _points = _points + _hit; + _ammorated pushback _ammo; + }; + } foreach _MagazinesUnit; + + if (!("infantry" in _typeofgrp)) then + {_typeofgrp pushback "infantry";}; + }; + _points = _points + ((1+(morale _x)) + (1-(damage _x)) + ((_x skillFinal "Endurance") + (_x skillFinal "courage"))); + }; + +} foreach units _grp; + +_checkbag = [_grp] call UPSMON_GetStaticTeam; +_staticteam = _checkbag select 0; +If (count _staticteam == 2) then +{ + _cfgArtillery = getnumber (configFile >> "cfgVehicles" >> (_checkbag select 1) >> "artilleryScanner"); + + _capacityofgrp pushback ["staticbag"]; + _engagementrange = 1000; + + If (_cfgArtillery == 1) then + { + If (!("arti" in _typeofgrp)) then + { + _typeofgrp pushback "arti"; + }; + + If (!((_staticteam select 0) in _artibatteryarray)) then + { + _artibatteryarray pushback _staticteam; + _grp setvariable ["UPSMON_Battery",_artibatteryarray]; + }; + + If (count (_grp getvariable ["UPSMON_Mortarmun",[]]) == 0) then + { + _rounds = [_checkbag select 1] call UPSMON_GetDefaultmun; + _grp setvariable ["UPSMON_Mortarmun",_rounds]; + }; + }; +}; + +[_grp,_typeofgrp] call UPSMON_AddtoArray; + +_points = _points; + +{ + If (!IsNull _x) then + { + If ((_renfgroup getvariable ["UPSMON_GrpToRenf",ObjNull]) == _grp) then + { + If (({alive _x && !(captive _x)} count units _x) > 0) then + { + _points = _points + (_x getvariable ["UPSMON_Grpratio",0]); + }; + }; + }; +} foreach (_grp getvariable ["UPSMON_RenfGrps",[]]); + +_grp setvariable ["UPSMON_Grpratio",_points]; +_grp setvariable ["UPSMON_GroupCapacity",_capacityofgrp]; +_grp setvariable ["UPSMON_typeofgrp",_typeofgrp]; +_grp setvariable ["UPSMON_Assignedvehicle",_assignedvehicles]; + +If (count _assignedvehicles > 0) then +{ + _array = []; + + { + If (canmove _x) then + { + If (driver _x in units _grp) then + { + _array pushback _x; + }; + }; + } foreach _assignedvehicles; + _grp setvariable ["UPSMON_LastAssignedvehicle",_array]; +}; + +If (count (_grp getvariable ["UPSMON_LastAssignedvehicle",_assignedvehicles]) > 0) then +{ + _array = []; + + { + If (!IsNull _x) then + { + If (canmove _x) then + { + If (driver _x in units _grp) then + { + _array pushback _x; + }; + }; + }; + } foreach _assignedvehicles; + _grp setvariable ["UPSMON_LastAssignedvehicle",_array]; +}; + +//if (UPSMON_Debug>0) then {diag_log format ["Grpcompos/ typeofgrp:%1 Capacity:%2 Assignedvehicles:%3 range:%4 Points:%5",_typeofgrp,_capacityofgrp,_assignedvehicles,_engagementrange,_points];}; + +_result = [_typeofgrp,_capacityofgrp,_assignedvehicles,_engagementrange]; +_result; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkallied.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkallied.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bd036636815c4f3d5306196ecbf7e701461a3461 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkallied.sqf @@ -0,0 +1,37 @@ +/**************************************************************** +File: UPSMON_checkallied.sqf +Author: Azroul13 + +Description: + Are they any allied near the group + Use for Surrending condition +Parameter(s): + <--- leader + <--- Searching radius + <--- Unit Side +Returns: + Array [[Eni units],[Allied Units]] +****************************************************************/ + +private ["_npc","_mennear","_result","_radius"]; + +_npc = _this select 0; +_radius = _this select 1; +_side = side _npc; + +_mennear = _npc nearTargets 180; +_result = false; +_allied = []; +_eny = []; +_enemySides = _npc call BIS_fnc_enemySides; + +{ + _unit = _x select 4; + _unitside = _x select 2; + If ((alive _unit) && (_unitside == _side) && !(_unit in (units _npc)) && !(captive _unit)) then {_allied = _allied + [_x];}; + If ((alive _unit) && (_unitside in _enemySides) && _npc knowsabout _unit >= UPSMON_knowsAboutEnemy) then {_eny = _eny + [_x];} +} foreach _mennear; + + +_result = [_allied,_eny]; +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkmunition.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkmunition.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d586521822bbd6beeffa7a3f8b482c0718f667b6 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkmunition.sqf @@ -0,0 +1,79 @@ +/**************************************************************** +File: UPSMON_checkmunition.sqf +Author: Azroul13 + +Description: + Check if unit in the group is out of munition +Parameter(s): + <--- leader +Returns: + Array of units who needs ammo +****************************************************************/ + +private ["_npc","_units","_result","_unit","_weapon","_magazineclass","_magazines","_weapon","_sweapon","_mags","_magazinescount","_smagazineclass"]; + +_npc = _this select 0; +_units = units _npc; +_result = []; +_minmag = 2; + +{ + If (!IsNull _x) then + { + If (alive _x) then + { + If (vehicle _x == _x) then + { + _unit = _x; + _magsneeded = [[],[]]; + _weapon = primaryWeapon _unit; + _sweapon = secondaryWeapon _unit; + _magazineclass = getArray (configFile / "CfgWeapons" / _weapon / "magazines"); + _smagazineclass = []; + If (_sweapon != "") then {_smagazineclass = getArray (configFile / "CfgWeapons" / _sweapon / "magazines");}; + _mags = magazinesAmmoFull _unit; + + If (count _smagazineclass > 0) then + { + _magazinescount = {(_x select 0) in _smagazineclass} count _mags; + _arr = []; + {_arr pushback _x} foreach _smagazineclass; + _magsneeded set [0,_arr]; + If (_magazinescount == 0) then + { + If (!(_unit in _result)) then + { + _result pushback _unit; + }; + }; + }; + + If (count _magazineclass > 0) then + { + _magazinescount = {(_x select 0) in _magazineclass} count _mags; + _arr = []; + {_arr pushback _x} foreach _magazineclass; + _magsneeded set [1,_arr]; + If (_magazinescount <= 2) then + { + If (!(_unit in _result)) then + { + _result pushback _unit; + }; + }; + }; + + If (_unit in _result) then + { + if (UPSMON_AllowRearm) then + { + [_unit,_magsneeded] spawn UPSMON_Rearm; + }; + }; + }; + }; + }; + +} foreach _units; + +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checksizetargetgrp.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checksizetargetgrp.sqf new file mode 100644 index 0000000000000000000000000000000000000000..79efe819f3f11cc1e9e76c26b6c6b015f722533b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checksizetargetgrp.sqf @@ -0,0 +1,34 @@ +/**************************************************************** +File: UPSMON_checksizetargetgrp.sqf +Author: Azroul13 + +Description: + Check how many suplementary targets are near the revealed target + Use for Artillery fire condition: if (count([_attackpos,50,EAST] call UPSMON_checksizetargetgrp) >= 4) then {_artillery=true} +Parameter(s): + <--- unit + <--- Searching radius + <--- Unit Side +Returns: + Array of units +****************************************************************/ + +private ["_mennear","_result","_pos","_radius"]; + +_pos = _this select 0; +_radius = _this select 1; +_side = _this select 2; + +_mennear = _pos nearentities [["CAManBase"],_radius]; +_enemySides = _side call BIS_fnc_enemySides; +_result = false; +_allied = []; +_eny = []; + +{ + If ((side _x in _enemySides) && _npc knowsabout _x >= UPSMON_knowsAboutEnemy) then {_eny = _eny + [_x];} +} foreach _mennear; + + +_result = [_eny]; +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_composeteam.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_composeteam.sqf new file mode 100644 index 0000000000000000000000000000000000000000..16031081178cb84afbb8430855194f911284ff77 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_composeteam.sqf @@ -0,0 +1,173 @@ +/**************************************************************** +File: UPSMON_composeteam.sqf +Author: Azroul13 + +Description: + Each units of the group is assigned to a team +Parameter(s): + <--- group +Returns: + ----> Support Team (array of units) + ----> Assault Team (array of units) + ----> ATteam (array of units) + ----> AAteam (array of units) +****************************************************************/ +private ["_grp","_units","_Assltteam","_Supportteam","_Atteam","_result","_units","_at","_unit","_weapon","_sweapon","_typeweapon"]; + +_grp = _this select 0; + +_Assltteam = []; +_Supportteam = []; +_Atteam = []; +_AAteam = []; +_snpteam = []; +_mgteam = []; +_result = []; + +if (({alive _x} count units _grp) == 0) exitwith {_result = [];_result;}; + +// add leader and people to team 1 +_Supportteam pushback (vehicle (leader _grp)); +_unitsleft = units _grp; +_unitsleft = _unitsleft - [leader _grp]; +_unitsinvalid = []; +_vehiclesnbr = 0; + +//Add vehicles with gunner in the support team +{ + If (alive _x) then + { + If (vehicle _x != _x) then + { + If (!(_x in (assignedCargo assignedVehicle _x))) then + { + If (!IsNull (gunner vehicle _x)) then + { + If (!(vehicle _x in _Supportteam)) then + { + _Supportteam pushback (vehicle _x); + _vehiclesnbr = _vehiclesnbr + 1; + }; + + _unitsinvalid pushback _x; + }; + }; + }; + } + else + { + _unitsinvalid pushback _x; + }; +} foreach _unitsleft; + +_unitsleft = _unitsleft - _Supportteam; +_unitsleft = _unitsleft - _unitsinvalid; + + +{ + If (alive _x) then + { + If (canmove _x) then + { + If (_x == vehicle _x) then + { + _weapon = currentweapon _x; + _sweapon = secondaryWeapon _x; + _typeweapon = tolower gettext (configFile / "CfgWeapons" / _weapon / "cursor"); + if (_sweapon != "") then + { + _smagazineclass = (getArray (configFile / "CfgWeapons" / _sweapon / "magazines")) select 0; + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _smagazineclass >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + + if (_airlock==2 && !(_ammo iskindof "BulletBase") && !(_x in _AAteam)) then + {_AAteam pushback _x}; + if ((_irlock==0 || _laserlock==0) && + ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase") || (_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) && !(_x in _ATteam)) then + {_Atteam pushback _x}; + }; + + if (!(_x in _Supportteam) && (_typeweapon in ["mg","srifle"] || _sweapon != "")) then + { + _Supportteam pushback _x; + If (_typeweapon == "mg") then {_mgteam pushback _x;}; + If (_typeweapon == "srifle") then {_snpteam pushback _x;}; + }; + }; + } + else + { + _unitsinvalid pushback _x; + }; + } + else + { + _unitsinvalid pushback _x; + }; +} foreach _unitsleft; + +//Add the rest to the Assltteam + +_unitsleft = _unitsleft - _unitsinvalid; +_Assltteam = _unitsleft - _Supportteam; + + +If ({alive _x && vehicle _x == _x} count units _grp <= 4) then +{ + If (_vehiclesnbr == 0) then + { + _Assltteam = units _grp; + } + else + { + if (count _Assltteam <= 1 && count _Supportteam > 1) then + { + _arr2 = _Supportteam; + + { + If (_x != vehicle (leader _grp)) then + { + If (count _arr2 > count _Assltteam) then + { + _Assltteam pushback _x; + _arr2 = _arr2 - [_x]; + }; + }; + } foreach _Supportteam; + + _Supportteam = _arr2; + }; + }; +} +else +{ + if (count _Assltteam <= 1 && count _Supportteam > 4) then + { + _arr2 = _Supportteam; + { + If (_x != vehicle (leader _grp)) then + { + If (vehicle _x == _x) then + { + If (count _arr2 > count _Assltteam) then + { + _Assltteam pushback _x; + _arr2 = _arr2 - [_x]; + }; + }; + }; + } foreach _Supportteam; + + _Supportteam = _arr2; + }; +}; + + + +{_x assignTeam "RED"} foreach _Assltteam; +{_x assignTeam "BLUE"} foreach _Supportteam; + +_result = [_Supportteam,_Assltteam,_Atteam,_AAteam]; +_result; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getNearestSoldier.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getNearestSoldier.sqf new file mode 100644 index 0000000000000000000000000000000000000000..70ab7da5b1eacb4b3f64f0f29325db9f4554054c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getNearestSoldier.sqf @@ -0,0 +1,22 @@ +/**************************************************************** +File: UPSMON_getNearestSoldier.sqf +Author: Monsada + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private["_units","_position","_near"]; + +_position = _this select 0; +_units = _this select 1; + +_near = [_units, [], {_position distance _x}, "ASCEND"] call BIS_fnc_sortBy;; +_near = _near select 0; + + +_near \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getleader.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getleader.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c97cd7d706b4248f034787e53f13ad91fb239aa9 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getleader.sqf @@ -0,0 +1,112 @@ +/**************************************************************** +File: UPSMON_getleader.sqf +Author: Monsada + +Description: + Check if leader is alive and if not search for a replacement in the group +Parameter(s): + <--- leader + <--- group +Returns: + leader +****************************************************************/ + +private ["_npc","_grp","_members","_list"]; + +_npc = _this select 0; +_grp = _this select 1; +_members = units _grp; + +//sleep 0.05; +if (!alive _npc) then +{ + + //soldier not in vehicle takes the lead or not in tank vehicle + _list = []; + { + if (alive _x) then + { + If (!isPlayer _x) then + { + if (canmove _x) then + { + _points = 0; + If (_x == vehicle _x) then + { + switch (rank _x) do + { + case "CORPORAL": + { + _points = _points + 20; + }; + case "SERGEANT": + { + _points = _points + 30; + }; + case "LIEUTENANT": + { + _points = _points + 40; + }; + case "MAJOR": + { + _points = _points + 50; + }; + case "COLONEL": + { + _points = _points + 60; + }; + case "PRIVATE": + { + _points = _points + 10; + }; + }; + } + else + { + If (vehicle _x iskindof "TANK" || vehicle _x iskindof "Wheeled_APC") then + { + If ((assignedVehicleRole _x) select 0 == "Commander") then + { + _points = _points + 80; + }; + + If ((assignedVehicleRole _x) select 0 == "Gunner") then + { + _points = _points + 40; + }; + }; + }; + + _list pushback [_x,_points]; + }; + }; + }; + } foreach _members; + + If (count _list > 0) then + { + _list = [_list, [], {(_x select 1)}, "DESCEND"] call BIS_fnc_sortBy; + _npc = (_list select 0) select 0; + }; + //if no soldier out of vehicle takes any + if (!alive _npc ) then + { + { + if (alive _x && canmove _x) exitwith {_npc = _x;}; + } foreach _members; + }; + + //If not alive or already leader or is player exits + { + { + if (alive _x && !isPlayer _x) exitwith {_npc = [_npc,_grp] call UPSMON_getleader;}; + } foreach _members; + }; + + if (leader _grp == _npc) exitwith {_npc}; + + //Set new _npc as leader + _grp selectLeader _npc; +}; + +_npc // return \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getunits.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getunits.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e660cb6f6cfb00b5d0ad8233a6b1c2a95e6467d7 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getunits.sqf @@ -0,0 +1,41 @@ +/**************************************************************** +File: UPSMON_getunits.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Array of units +Returns: + Array of units +****************************************************************/ + +private ["_units","_validunits"]; + +_units = _this select 0; + +_validunits = []; + +{ + if (alive _x) then + { + If (vehicle _x == _x) then + { + If (_x getvariable ["UPSMON_Supstatus",""] != "SUPRESSED") then + { + If (canmove _x) then + { + If (canstand _x) then + { + If (!([_x] call UPSMON_Inbuilding)) then + { + _validunits pushback _x; + }; + }; + }; + }; + }; + }; +}foreach _units; + +_validunits \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_grptype.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_grptype.sqf new file mode 100644 index 0000000000000000000000000000000000000000..11f32a0440f1f0b0b4bd8cfc00e34bdd4ff18e97 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_grptype.sqf @@ -0,0 +1,23 @@ +/**************************************************************** +File: UPSMON_grptype.sqf +Author: Azroul13 + +Description: + get the type of the group +Parameter(s): + <--- leader +Returns: + ----> Group type ("Isman"/"Iscar"/"IsAir"/"Isboat"/"Isdiver") +****************************************************************/ +private []; + +_npc = _this select 0; +_type = ""; + +If ("LandVehicle" countType [vehicle _npc]>0) then {_type = "Iscar"}; +If ("Ship" countType [vehicle _npc]>0) then {_type = "Isboat"}; +If ("Air" countType [vehicle _npc]>0) then {_type = "IsAir"}; +If (["diver", (typeOf (leader _npc))] call BIS_fnc_inString) then {_type = "Isdiver"}; +If (_type == "") then {_type = "Isman"}; + +_type \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_supstatestatus.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_supstatestatus.sqf new file mode 100644 index 0000000000000000000000000000000000000000..fd3505d939dd44877459deeca1f09354a6c9909e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_supstatestatus.sqf @@ -0,0 +1,99 @@ +/**************************************************************** +File: UPSMON_supstatestatus.sqf +Author: Azroul13 + +Description: + Check if the group is under fire + Activated only when TPWCAS script is present +Parameter(s): + <--- unit +Returns: + Boolean +****************************************************************/ + //Check if the group is under fire +private ["_grp","_supstatus","_unitsnbr","_tpwcas_running","_statuslist"]; + +_grp = _this select 0; +_supstatus = ""; + +_unitsnbr = count (units _grp); +_tpwcas_running = if (!isNil "tpwcas_running") then {true} else {false}; +_statuslist = []; +{ + If (alive _x) then + { + _x setvariable ["UPSMON_SUPSTATUS",""]; + If (_x in UPSMON_GOTHIT_ARRAY) then + { + UPSMON_GOTHIT_ARRAY = UPSMON_GOTHIT_ARRAY - [_x]; + If (damage _x < 0.3) then + { + _statuslist pushback "hit"; + } + else + { + _statuslist pushback "wounded"; + }; + + _x setvariable ["UPSMON_SUPSTATUS","UNDERFIRE"]; + }; + + if (_tpwcas_running) then + { + If (_x getvariable "tpwcas_supstate" == 3) then + { + _statuslist pushback "supressed"; + _x setvariable ["UPSMON_SUPSTATUS","SUPRESSED"]; + }; + If (_x getvariable "tpwcas_supstate" == 2) then + { + _statuslist pushback "hit"; + _x setvariable ["UPSMON_SUPSTATUS","UNDERFIRE"]; + }; + }; + + If (isNil "bdetect_enable") then + { + If (_x getVariable ["bcombat_suppression_level", 0] >= 20 && _x getVariable ["bcombat_suppression_level", 0] < 75) then + { + _statuslist pushback "hit"; + _x setvariable ["UPSMON_SUPSTATUS","UNDERFIRE"]; + }; + If (_x getVariable ["bcombat_suppression_level", 0] >= 75) then + { + _statuslist pushback "supressed"; + _x setvariable ["UPSMON_SUPSTATUS","SUPRESSED"]; + }; + }; + } + else + { + if (_x in UPSMON_GOTKILL_ARRAY) then + { + UPSMON_GOTKILL_ARRAY = UPSMON_GOTKILL_ARRAY - [_x]; + _statuslist pushback "dead"; + }; + }; +} foreach units _grp; + +If ({_x == "supressed" || _x == "wounded" || _x == "dead"} count _statuslist >= _unitsnbr) then +{ + If ({_x == "supressed"} count _statuslist < {_x == "wounded" || _x == "dead"} count _statuslist) then + { + _supstatus = "INCAPACITED" + } + else + { + _supstatus = "SUPRESSED" + }; +}; + +If (_supstatus == "") then +{ + If ("hit" in _statuslist || "wounded" in _statuslist || "dead" in _statuslist || "supressed" in _statuslist) then + { + _supstatus = "UNDERFIRE" + }; +}; + +_supstatus \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleInit.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleInit.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9c66a24c87242aba1e18dd90a722df9b7e6c1160 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleInit.sqf @@ -0,0 +1,26 @@ +/**************************************************************** +File: UPSMON_GetIn_NearestCombat.sqf +Author: Ollem + +Description: + Replacement of "setvehicleinit" command. Add init line to a spawned AI. +Parameter(s): + <--- netid object + <--- unit init +Returns: + Nothing +****************************************************************/ + + +private ["_netID","_unit","_unitinit"]; + +_netID = _this select 0; +_unit = objectFromNetID _netID; +_unitinit = _this select 1; +_unitstr = "_unit"; + +_index=[_unitinit,"this",_unitstr] call UPSMON_Replace; + +call compile format ["%1",_index]; + +if (UPSMON_Debug>0) then { diag_log format ["UPSMON 'UPSMON_fnc_setVehicleInit': %1 %2 %3",_unitinit,_index,_unit]; }; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleVarName.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleVarName.sqf new file mode 100644 index 0000000000000000000000000000000000000000..dbe57bc65410be577ccbf20766f1c880c0818b99 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleVarName.sqf @@ -0,0 +1,23 @@ +/**************************************************************** +File: UPSMON_fnc_setVehicleVarName.sqf +Author: Ollem + +Description: + Replacement of "setvehicleinit" command. +Parameter(s): + <--- netid object + <--- unit name +Returns: + Nothing +****************************************************************/ + +private ["_netID","_unit","_unitname"]; + +_netID = _this select 0; +_unit = objectFromNetID _netID; +_unitname = _this select 1; + +_unit setVehicleVarName _unitname; +_unit call compile format ["%1=_This; PublicVariable ""%1""",_unitname]; + +if (UPSMON_Debug>0) then { diag_log format ["UPSMON 'UPSMON_fnc_setVehicleVarName': %1=_This; PublicVariable ""%1""",_unitname]; }; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/init.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..7a815ad348cf3963357cc13e3acd899ed6fc2aed --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/init.sqf @@ -0,0 +1,3 @@ + +UPSMON_fnc_setVehicleInit = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\MP\fnc\UPSMON_fnc_setVehicleInit.sqf"; +UPSMON_fnc_setVehicleVarName = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\MP\fnc\UPSMON_fnc_setVehicleVarName.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/Init.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..0755d82d5df2f7820ce2ced56997f38be87999b4 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/Init.sqf @@ -0,0 +1,21 @@ + +UPSMON_GetParams = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetParams.sqf"; + +UPSMON_GetGroupbehaviour = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetGroupbehaviour.sqf"; +UPSMON_GetGroupformation = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetGroupformation.sqf"; +UPSMON_GetGroupspeed = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetGroupspeed.sqf"; + +UPSMON_SetEventhandlers = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_SetEventhandlers.sqf"; + +UPSMON_GetRespawndelay = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetRespawndelay.sqf"; +UPSMON_GetRespawnpos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetRespawnpos.sqf"; +UPSMON_GetRespawntime = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetRespawntime.sqf"; + +UPSMON_SetClones = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_SetClones.sqf"; +UPSMON_Settemplate = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_Settemplate.sqf"; +UPSMON_SetmarkerArea = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_SetmarkerArea.sqf"; +UPSMON_SetRenfParam = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_SetRenfParam.sqf"; + +UPSMON_NOSMOKE = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_NOSMOKE.sqf"; + +UPSMON_BacktoNormal = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_BacktoNormal.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_BacktoNormal.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_BacktoNormal.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1b69a17bbe1031d5e4857826492e6bc149a6764d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_BacktoNormal.sqf @@ -0,0 +1,30 @@ +/**************************************************************** +File: UPSMON_BackToNormal.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- group +Returns: + Nothing +****************************************************************/ +private["_npc","_Ucthis","_behaviour"]; + +_grp = _this select 0; + +_grp setvariable ["UPSMON_Grpstatus","GREEN"]; + +If (_grp getvariable ["UPSMON_NOWP",0] > 0) then +{ +// [_grp,((_grp getvariable "UPSMON_Origin") select 0),"MOVE",((_grp getvariable "UPSMON_Origin") select 1),((_grp getvariable "UPSMON_Origin") select 2),((_grp getvariable "UPSMON_Origin") select 3),"YELLOW",1] spawn UPSMON_DocreateWP; + [_grp,((_grp getvariable "UPSMON_Origin") select 0),"MOVE",((_grp getvariable "UPSMON_Origin") select 3),((_grp getvariable "UPSMON_Origin") select 2),((_grp getvariable "UPSMON_Origin") select 1),"YELLOW",1] spawn UPSMON_DocreateWP;//corrected by barbolani +} +else +{ + _grp setbehaviour ((_grp getvariable "UPSMON_Origin") select 1); + _grp setspeedmode ((_grp getvariable "UPSMON_Origin") select 2); + _grp setformation ((_grp getvariable "UPSMON_Origin") select 3); +}; + +_grp setvariable ["UPSMON_Grpmission",_grp getvariable "UPSMON_OrgGrpmission"]; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupbehaviour.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupbehaviour.sqf new file mode 100644 index 0000000000000000000000000000000000000000..03dd9a8beca64d9a09c56781736aab1a51baad4d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupbehaviour.sqf @@ -0,0 +1,29 @@ +/**************************************************************** +File: UPSMON_GetGroupbehaviour.sqf +Author: Azroul13 + +Description: + Get unit behaviour +Parameter(s): + <--- leader + <--- UPSMON parameters +Returns: + ---> behaviour of the group +****************************************************************/ +private["_npc","_Ucthis","_behaviour"]; + +_npc = _this select 0; +_Ucthis = _this select 1; + +_behaviour = Behaviour _npc; + +// set behaviour modes (or not) +if ("CARELESS" in _UCthis) then {_behaviour = "CARELESS"}; +if ("SAFE" in _UCthis) then {_behaviour = "SAFE"}; +if ("AWARE" in _UCthis) then {_behaviour = "AWARE"}; +if ("COMBAT" in _UCthis) then {_behaviour = "COMBAT"}; +if ("STEALTH" in _UCthis) then {_behaviour = "STEALTH"}; + +_behaviour + + diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupformation.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupformation.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e3632413b7b3a8ba0244a22c56705e4c0c3ff000 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupformation.sqf @@ -0,0 +1,28 @@ +/**************************************************************** +File: UPSMON_GetGroupformation.sqf +Author: Azroul13 + +Description: + Get unit behaviour +Parameter(s): + <--- leader + <--- UPSMON parameters +Returns: + ---> formation +****************************************************************/ +private["_npc","_Ucthis","_formation"]; + +_npc = _this select 0; +_Ucthis = _this select 1; + +_formation = Formation _npc; + +// set formation modes (or not) +If ("COLUMN" in _UCthis) then {_formation = "COLUMN";}; +If ("STAG COLUMN" in _UCthis) then {_formation = "STAG COLUMN";}; +If ("WEDGE" in _UCthis) then {_formation = "WEDGE";}; +If ("VEE" in _UCthis) then {_formation = "VEE";}; +If ("LINE" in _UCthis) then {_formation = "LINE";}; +If ("FILE" in _UCthis) then {_formation = "FILE";}; + +_formation diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupspeed.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupspeed.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9c8812245f733c6745db2f741b5faa59a4b104d1 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupspeed.sqf @@ -0,0 +1,26 @@ +/**************************************************************** +File: UPSMON_GetGroupspeed.sqf +Author: Azroul13 + +Description: + Get unit speed mode +Parameter(s): + <--- leader + <--- UPSMON parameters +Returns: + ---> speed mode +****************************************************************/ +private["_npc","_Ucthis","_speed"]; + +_npc = _this select 0; +_Ucthis = _this select 1; + +_speed = Speedmode _npc; + +// set initial speed +_noslow = if ("NOSLOW" in _UCthis) then {"NOSLOW"} else {"SLOW"}; +if ("LIMITED" in _UCthis) then {_speed = "LIMITED"}; +if ("NORMAL" in _UCthis) then {_speed = "NORMAL"}; +if ("FULL" in _UCthis || _noslow == "NOSLOW") then {_speed = "FULL"}; + +_speed diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetParams.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetParams.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6758140bc91372838cee456ea4008e7337c20fa6 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetParams.sqf @@ -0,0 +1,25 @@ +/**************************************************************** +File: UPSMON_GetParams.sqf +Author: Azroul13 + +Description: + Convert argument list to uppercase +Parameter(s): + <--- Parameters +Returns: + ---> Parameters +****************************************************************/ + +private["_Params","_UCthis","_i","_e"]; + +_Params = _this select 0; +_UCthis = []; + +for [{_i=0},{_i UPSMON_USE_SMOKE) then +{ + If (_grp getvariable ["UPSMON_SmokeTime",0] < time) then + { + If (!(_grp getvariable ["UPSMON_NOSMOKE",false])) then + { + _nosmoke = false; + }; + }; +}; + +_nosmoke diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetClones.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetClones.sqf new file mode 100644 index 0000000000000000000000000000000000000000..2ef4610d2df80237bc6c979d7c2414485f71c750 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetClones.sqf @@ -0,0 +1,27 @@ +/**************************************************************** +File: UPSMON_SetClones.sqf +Author: Azroul + +Description: + +Parameter(s): + <--- Parameters of UPSMON +Returns: + nothing +****************************************************************/ +private ["_Ucthis","_mincopies","_maxcopies","_membertypes"]; + +_Ucthis = _this select 0; +_membertypes = _this select 1; + +_mincopies = ["MIN:",0,_UCthis] call UPSMON_getArg; +_maxcopies = ["MAX:",0,_UCthis] call UPSMON_getArg; +if (_mincopies>_maxcopies) then {_maxcopies=_mincopies}; +if (_maxcopies>140) exitWith {hint "Cannot create more than 140 groups!"}; + +if (_maxcopies>0) then +{ + _Ucthis = ["MIN:",0,_UCthis] call UPSMON_setArg; + _Ucthis = ["MAX:",0,_Ucthis] call UPSMON_setArg; + [_Ucthis,_mincopies,_maxcopies,_membertypes] call UPSMON_Clones; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetEventhandlers.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetEventhandlers.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f5c5ca7e68f56689f688ab04a14998c85709756d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetEventhandlers.sqf @@ -0,0 +1,51 @@ +/**************************************************************** +File: UPSMON_SetEventhandlers.sqf +Author: Azroul13 + +Description: + Convert argument list to uppercase +Parameter(s): + <--- Members of the group + <--- Parameters +Returns: + Nothing +****************************************************************/ + +private["_members","_UCthis","_grpid","_deletedead"]; + +_members = _this select 0; +_UCthis = _this select 1; +_grpid = _this select 2; + +_deletedead = ["DELETE:",0,_UCthis] call UPSMON_getArg; +{ + _x setVariable ["UPSMON_grpid", _grpid, false]; + If (_x != vehicle _x && (vehicle _x) getVariable ["UPSMON_grpid",0] != _grpid) then {(vehicle _x) setVariable ["UPSMON_grpid", _grpid, false];}; + sleep 0.05; + + if (side _x != civilian) then + {//soldiers + _x AddEventHandler ["hit", {nul = _this spawn UPSMON_SN_EHHIT}]; + sleep 0.05; + _x AddEventHandler ["killed", {nul = _this spawn UPSMON_SN_EHKILLED}]; + //_x AddEventHandler ["fired", {nul = _this spawn UPSMON_SN_EHFIRED}]; + } + else + {//civ + if (!isnil "_x") then + { + sleep 0.05; + _x AddEventHandler ["firedNear", {nul = _this spawn UPSMON_SN_EHFIREDNEAR}]; + sleep 0.05; + _x AddEventHandler ["killed", {nul = _this spawn UPSMON_SN_EHKILLEDCIV}]; + sleep 0.05; + }; + }; + + if (_deletedead>0) then + { + _x addEventHandler['killed',format["[_this select 0,%1] spawn UPSMON_deleteDead",_deletedead]]; + sleep 0.01; + }; +} foreach _members; + diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetMarkerArea.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetMarkerArea.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a6d6f0ab2b34fe67ea241121663cbfbcddacc7ba --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetMarkerArea.sqf @@ -0,0 +1,69 @@ +/**************************************************************** +File: UPSMON_SetMarkerArea.sqf +Author: Azroul13 + +Description: + Get unit behaviour +Parameter(s): + <--- group + <--- Marker Area of the group + <--- UPSMON parameters +Returns: + +****************************************************************/ +private["_grp","_areamarker","_Ucthis","_showmarker","_groups","_marker","_in","_id"]; + +_grp = _this select 0; +_areamarker = _this select 1; +_Ucthis = _this select 2; + +_showmarker = "HIDEMARKER"; +_in = false; +_groups = []; +_id = - 1; +{ + _id = _id + 1; + _marker = _x select 0; + if (UPSMON_Debug > 0) then + { + Hint format ["AreaMarker:%1 marker:%2 array:%3",_areamarker,_marker,_x]; + diag_log format ["AreaMarker:%1 marker:%2 array:%3",_areamarker,_marker,_x]; + }; + If (_areamarker == _marker) exitwith + { + _in = true; + _groups = _x select 1; + }; +} foreach UPSMON_Markers; + +_groups set [count _groups,_grp]; +_markerarray = [_areamarker,_groups]; +If (_in) then +{ + UPSMON_Markers set [_id,_markerarray]; +} +else +{ + UPSMON_Markers set [count UPSMON_Markers,_markerarray]; +}; + +{ + _group = _x; + If (({alive _x && !(captive _x)} count units _group) > 0) then + { + _UCthis = _group getvariable ["UPSMON_Ucthis",[]]; + If ("SHOWMARKER" in _UCthis) exitwith {_showmarker = "SHOWMARKER";}; + }; +} foreach _groups; + +if (_showmarker=="HIDEMARKER") then +{ + _areamarker setmarkerAlpha 0; +} +else +{ + If (MarkerAlpha _areamarker == 0) then + { + _areamarker setmarkerAlpha 1; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/Init.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1bf0296b803e6b26b454701633d7163b51361feb --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/Init.sqf @@ -0,0 +1,15 @@ + +UPSMON_GetNearestBuildings = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_GetNearestBuildings.sqf"; +UPSMON_GetNearestBuilding = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_GetNearestBuilding.sqf"; + +UPSMON_filterbuilding = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_filterbuilding.sqf"; +UPSMON_checkdoorposition = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_checkdoorposition.sqf"; +UPSMON_Checkfreebldpos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_Checkfreebldpos.sqf"; +UPSMON_Checkfreebldpos2 = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_Checkfreebldpos2.sqf"; +UPSMON_checkwindowposition = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_checkwindowposition.sqf"; +UPSMON_gethighestbldpos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_gethighestbldpos.sqf"; +UPSMON_Isroof = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_Isroof.sqf"; +UPSMON_Inbuilding = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_Inbuilding.sqf"; +UPSMON_SortOutBldpos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_SortOutBldpos.sqf"; +UPSMON_UnitWatchDir = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_UnitWatchDir.sqf"; +UPSMON_WillSee = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_WillSee.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..788eea7dd796ba85bd0e4da57233a5c2cd32c8e1 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos.sqf @@ -0,0 +1,35 @@ +/**************************************************************** +File: UPSMON_Checkfreebldpos.sqf +Author: Azroul13 + +Description: + Filter the building position and check if there're no unit near the position. + +Parameter(s): + <--- Building positions +Returns: + Building position +****************************************************************/ + +private ["_bldpos","_altura","_unitnear","_id"]; + +_bldpos = _this select 0; +_unitnear = []; +_altura = []; +_id = -1; +{ + _id = _id + 1; + If (typename _x == "ARRAY") then + { + If (count _x > 0) then + { + _unitnear = _x nearEntities [["CAManBase","STATICWEAPON"],0.5]; + If (count _unitnear == 0) exitwith + { + _altura = [_x,_id] + }; + }; + }; +} foreach _bldpos; + +_altura; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos2.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos2.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e697260af02fa022967cc7eb226a6f399379430d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos2.sqf @@ -0,0 +1,37 @@ +/**************************************************************** +File: UPSMON_Checkfreebldpos2.sqf +Author: Azroul13 + +Description: + Filter the building position and check if there're no unit near the position. + +Parameter(s): + <--- Building positions +Returns: + Building positions +****************************************************************/ +private ["_bldpos","_bldpostemp","_id","_altura","_unitnear"]; + +_bldpos = _this select 0; +_bldpostemp = _bldpos; +_id = -1; +_unitnear = []; + +{ + _id = _id + 1; + If (typename _x == "ARRAY") then + { + _altura = _x; + If (count _altura > 0) then + { + _unitnear = _altura nearEntities [["CAManBase","STATICWEAPON"],0.5]; + If (count _unitnear > 0) then + { + _bldpostemp set [_id,"deletethis"]; + _bldpostemp = _bldpostemp - ["deletethis"]; + }; + }; + }; +} foreach _bldpos; + +_bldpostemp; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuilding.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuilding.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1cb4c86b33dc874643f1f10b0559685b03961597 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuilding.sqf @@ -0,0 +1,40 @@ +/**************************************************************** +File: UPSMON_GetNearestBuildings.sqf +Author: Monsada + +Description: + Get all nearest buildings and theirs positions. + +Parameter(s): + <--- soldier to get near buildings + <--- distance to search buildings (optional, 25 by default) + <--- min floors of building (optional) if not especified min floors +Returns: + [_bld,_bldpos] +****************************************************************/ +private ["_distance","_minfloors","_marker","_shuffle","_position","_bldaltura","_nbbldpos","_bldpositions","_OCercanos","_allpos"]; + +_distance = 25; +_minfloors = 2; +_marker = ""; +_shuffle = false; + +_position = _this select 0; +_bldaltura = _this select 1; +if ((count _this) > 2) then {_distance = _this select 2;}; +if ((count _this) > 3) then {_marker = _this select 3;}; +if ((count _this) > 4) then {_shuffle = _this select 4;}; + +_bldposition = []; + +_OCercanos = [ (nearestObjects [_position, ["house","building"], _distance]), { [_x,_marker] call UPSMON_filterbuilding } ] call BIS_fnc_conditionalSelect; + +if (_shuffle && count _OCercanos > 0) then {_OCercanos = _OCercanos call UPSMON_arrayShufflePlus;}; + +{ + _allpos = [_x,_bldaltura] call UPSMON_SortOutBldpos; + _nbbldpos = count (_allpos select 0); + if (damage _x == 0 && _nbbldpos > 0) exitwith {_bldposition = [_x,_allpos];}; +} foreach _OCercanos; + +_bldposition; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuildings.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuildings.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f6ae8ff1e0162f8f9e01f4b3b56cd1028cc6bb12 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuildings.sqf @@ -0,0 +1,40 @@ +/**************************************************************** +File: UPSMON_GetNearestBuildings.sqf +Author: Monsada + +Description: + Get all nearest buildings and theirs positions. + +Parameter(s): + <--- soldier to get near buildings + <--- distance to search buildings (optional, 25 by default) + <--- min floors of building (optional) if not especified min floors +Returns: + [_bld,_bldpos] +****************************************************************/ +private ["_distance","_minfloors","_marker","_shuffle","_position","_bldaltura","_nbbldpos","_bldpositions","_OCercanos","_allpos"]; + +_distance = 25; +_minfloors = 2; +_marker = ""; +_shuffle = false; + +_position = _this select 0; +_bldaltura = _this select 1; +if ((count _this) > 2) then {_distance = _this select 2;}; +if ((count _this) > 3) then {_marker = _this select 3;}; +if ((count _this) > 4) then {_shuffle = _this select 4;}; + +_bldpositions = []; + +_OCercanos = [ (nearestObjects [_position, ["house","building"], _distance]), { [_x,_marker] call UPSMON_filterbuilding } ] call BIS_fnc_conditionalSelect; +if (_shuffle && count _OCercanos > 1) then {_OCercanos = _OCercanos call UPSMON_arrayShufflePlus;}; + +{ + _allpos = [_x,_bldaltura] call UPSMON_SortOutBldpos; + {[_x] call UPSMON_Checkfreebldpos2} foreach _allpos; + _nbbldpos = (count (_allpos select 0)) + (count (_allpos select 1)); + if (damage _x == 0 && _nbbldpos > 0) then {_bldpositions pushback [_x,_allpos];}; +} foreach _OCercanos; + +_bldpositions; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Inbuilding.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Inbuilding.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a171622da94f3bbfd36eb2e57fc741816ec57fc8 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Inbuilding.sqf @@ -0,0 +1,34 @@ +/**************************************************************** +File: UPSMON_Inbuilding.sqf +Author: Azroul13 + +Description: + Check if the AI is in a building. + +Parameter(s): + <--- Unit +Returns: + boolean +****************************************************************/ + +private ["_Inbuilding","_Roof","_unit","_Down"]; +_unit = _this select 0; + +_Inbuilding = false; +_Roof = lineIntersectsWith [getposASL _unit, [((getposASL _unit) select 0), ((getposASL _unit) select 1), ((getposASL _unit) select 2) + 20]]; + +If (count _Roof > 0) then +{ + _Inbuilding = (_Roof select 0) isKindOf "BUILDING"; +}; + +If (!_Inbuilding) then +{ + _Down = lineIntersectsWith [getposASL _unit, [((getposASL _unit) select 0), ((getposASL _unit) select 1), ((getposASL _unit) select 2) - 20]]; + if (count _Down > 0) then + { + _Inbuilding = (_Down select 0) isKindOf "BUILDING"; + }; +}; + +_Inbuilding \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Isroof.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Isroof.sqf new file mode 100644 index 0000000000000000000000000000000000000000..7a6e28a3a22c8050b57e02e585b8ca3ce10f2c23 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Isroof.sqf @@ -0,0 +1,26 @@ +/**************************************************************** +File: UPSMON_Isroof.sqf +Author: Azroul13 + +Description: + Check if the AI is under a roof. + +Parameter(s): + <--- Unit +Returns: + boolean +****************************************************************/ + +private ["_Inbuilding","_Roof","_unit"]; + +_unit = _this select 0; + +_Inbuilding = false; +_Roof = lineIntersectsWith [getposASL _unit, [((getposASL _unit) select 0), ((getposASL _unit) select 1), ((getposASL _unit) select 2) + 20]]; + +If (count _Roof > 0) then +{ + _Inbuilding = (_Roof select 0) isKindOf "BUILDING"; +}; + +_Inbuilding \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_SortOutBldpos2.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_SortOutBldpos2.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6dfcc74311a878ba0ee3313934385e21cf07d3c5 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_SortOutBldpos2.sqf @@ -0,0 +1,33 @@ +/**************************************************************** +File: UPSMON_SortOutBldpos.sqf +Author: Azroul13 + +Description: + Get All position from a building + +Parameter(s): + <--- building + <--- Search parameters: get only 1st floor position or upstairs position or both ("RANDOMUP"/"RANDOMDN"/"RANDOMA") +Returns: + Array of bldpos +****************************************************************/ + +private ["_bld","_initpos","_height","_bldpos","_checkheight","_downpos","_roofpos","_allpos","_bldpos1","_posz"]; + +_bld = _this select 0; +_targetpos = _this select 1; + +_bldpos = [_bld, 70] call BIS_fnc_buildingPositions; + +_allpos = []; + +{ + If ([_x,_targetpos] call UPSMON_LOS) then {_allpos pushback _x;}; +} foreach _bldpos; + +If (count _allpos > 1) then +{ + _allpos = _roofpos call UPSMON_arrayShufflePlus; +}; + +_allpos; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Checkratio.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Checkratio.sqf new file mode 100644 index 0000000000000000000000000000000000000000..155046e18cdafc95f15f7f8b82ab45b94f697862 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Checkratio.sqf @@ -0,0 +1,255 @@ +/**************************************************************** +File: UPSMON_Checkratio.sqf +Author: Azroul13 + +Description: + Comparison between Allied and Enemies forces in 800 radius +Parameter(s): + <--- Group + <--- Array of allied groups + <--- Array of enies units +Returns: + ---> Ratio Eni/Allies + ---> Array of importants targets +****************************************************************/ +private ["_grp","_allies","_enies","_pointsallies","_pointsenies","_ratedveh","_Itarget","_result","_points","_vehicle","_MagazinesUnit","_Cargo","_armor","_assignedvehicles"]; + +_grp = _this select 0; +_allies = _this select 1; +_enies = _this select 2; +_pointsallies = 0; +_pointsenies = 0; +_ratedveh = []; +_typeofeni = []; +_enicapacity = []; +_assignedvehicles = []; + +_allies pushback _grp; + +{ + If(!IsNull _x) then + { + If (({alive _x} count units _x) > 0) then + { + _pointsallies = _pointsallies + (_x getvariable ["UPSMON_Grpratio",0]); + }; + }; +} count _allies > 0; + +{ + _eni = _x; + _points = 0; + + If (!IsNull _eni) then + { + If (alive _eni) then + { + if ((vehicle _eni) != _eni && !(Isnull assignedVehicle _eni) && !(_eni in (assignedCargo assignedVehicle _eni))) then + { + if (!((assignedVehicle _eni) in _assignedvehicles)) then + { + _vehicle = assignedVehicle _eni; + _assignedvehicles pushback _vehicle; + _MagazinesUnit=(magazines _vehicle); + _Cargo = getNumber (configFile >> "CfgVehicles" >> typeof _vehicle >> "transportSoldier"); + _armor = getNumber (configFile >> "CfgVehicles" >> typeof _vehicle >> "armor"); + _gunner = gunner _vehicle; + _ammorated = []; + + _points = _points + 1; + + If (!IsNull _gunner) then + { + If (alive _gunner) then + { + { + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _x >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + _hit = getNumber (configfile >> "CfgAmmo" >> _ammo >> "hit"); + + if (_airlock == 1) then + { + if (_ammo iskindof "BulletBase") then + { + If (!("aa1" in _enicapacity)) then + { + _enicapacity pushback "aa1"; + }; + }; + }; + + if (_airlock == 2) then + { + if (!(_ammo iskindof "BulletBase")) then + { + If (!("aa2" in _enicapacity)) then + { + _enicapacity pushback "aa2"; + }; + }; + }; + + if (_irlock>0 || _laserlock>0) then + { + if (_ammo iskindof "MissileBase") then + { + If (!("at2" in _enicapacity)) then + { + _enicapacity pushback "at2"; + }; + }; + }; + + if (_ammo iskindof "ShellBase") then + { + //if (!(arti in _typeofgrp)) then + //{ + If (!("at3" in _enicapacity)) then + { + _enicapacity pushback "at3"; + }; + //}; + }; + + if (_ammo iskindof "BulletBase") then + { + if (_hit >= 40) then + { + If (!("at1" in _enicapacity)) then + { + _enicapacity pushback "at1"; + }; + }; + }; + If (!(_ammo in _ammorated)) then + { + _points = _points + _hit; + _ammorated pushback _ammo; + }; + + } foreach _MagazinesUnit; + }; + }; + + _points = _points + _armor; + + + If (_vehicle iskindof "car") then + { + If (!("car" in _typeofeni)) then + { + _typeofeni pushback "car"; + }; + + If (_armor >= 500) then + { + If (!("heavy" in _typeofeni)) then + { + _typeofeni pushback "heavy"; + }; + }; + + If (_armor >= 250 && _armor < 500) then + { + If (!("medium" in _typeofeni)) then + { + _typeofeni pushback "medium"; + }; + }; + + If (_armor < 250) then + { + If (!("light" in _typeofeni)) then + { + _typeofeni pushback "light"; + }; + }; + }; + + If (_vehicle iskindof "air") then + { + If (!("air" in _typeofeni)) then + { + _typeofeni pushback "air"; + }; + }; + + If (_vehicle iskindof "Ship") then + { + If (!("Ship" in _typeofeni)) then + { + _typeofeni pushback "Ship"; + }; + }; + + If (!IsNull (Gunner _vehicle)) then + { + If (!("armed" in _typeofeni)) then + { + _typeofeni pushback "armed"; + }; + }; + + }; + } + else + { + If (vehicle _x != _x) then + { + If (!((assignedVehicle _x) in _assignedvehicles)) then + { + _assignedvehicles pushback (assignedVehicle _x); + } + }; + _sweapon = secondaryWeapon _x; + _MagazinesUnit=(magazines _x); + _smagazineclass = []; + If (_sweapon != "") then + { + _smagazineclass = getArray (configFile >> "CfgWeapons" >> _sweapon >> "magazines"); + }; + _ammorated = []; + + _points = _points + 1; + + { + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _x >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + _hit = getNumber (configfile >> "CfgAmmo" >> _ammo >> "hit"); + + if (_airlock==2 && !(_ammo iskindof "BulletBase") && !("aa2" in _enicapacity) && (_ammo in _smagazineclass)) then + {_enicapacity pushback "aa2";}; + if ((_irlock>0 || _laserlock>0) && + ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) && !("at2" in _enicapacity) && (_ammo in _smagazineclass)) then + {_enicapacity pushback "at2";}; + if ((_irlock==0 || _laserlock==0) && + ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) && !("at1" in _enicapacity) && (_ammo in _smagazineclass)) then + {_enicapacity pushback "at1";}; + + If (_ammo iskindof "ShellBase" || (_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase") && !(_ammo in _ammorated) && (_ammo in _smagazineclass)) then + { + _points = _points + _hit; + _ammorated pushback _ammo; + }; + } foreach _MagazinesUnit; + + if (!("infantry" in _typeofeni)) then + {_typeofeni pushback "infantry";}; + }; + _points = _points + ((1+(morale _eni)) + (1-(damage _eni)) + ((_eni skillFinal "Endurance") + (_eni skillFinal "courage"))); + _pointsenies = _points; + }; + }; +} foreach _enies; + +//diag_log str _pointsenies; +//diag_log str _pointsallies; +if (_pointsallies == 0) then {_pointsallies = 0.1};//by Barbolani, to avoid bugs. +_ratio = _pointsenies/_pointsallies; + +_result = [_ratio,_enicapacity,_typeofeni]; +_result; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_ClassifyEnies.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_ClassifyEnies.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ef5654163d9d0d703d117b60b9068bfd0ec6ac9c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_ClassifyEnies.sqf @@ -0,0 +1,80 @@ +private ["_grp","_enies","_npcpos","_capacitygrp","_typeofgrp","_list","_points","_armor"]; + +_grp = _this select 0; +_enies = _this select 1; + +_npcpos = getposATL (leader _grp); +_capacitygrp = _grp getvariable ["UPSMON_GroupCapacity",[]]; +_typeofgrp = _grp getvariable ["UPSMON_typeofgrp",[]]; +_list = []; + +{ + If (alive _x) then + { + _points = 0; + + //If ([leader _grp,_x,_npcpos vectordistance ((_x getvariable "UPSMON_TargetInfo") select 0),130] call UPSMON_Haslos) then MODIFIED BY BARBOLANI + If ([leader _grp,_x,_npcpos distance (getPosATL _x),130] call UPSMON_Haslos) then + { + _points = _points + 200; + }; + + If (vehicle _x != _x) then + { + If ("ship" in _typeofgrp) then + { + If ((vehicle _x) iskindof "ship") then + { + _points = _points + 200; + }; + }; + + If ("air" in _typeofgrp || "aa1" in _capacitygrp || "aa2" in _capacitygrp) then + { + if ("aa1" in _capacitygrp || "aa2" in _capacitygrp) then + { + If ((vehicle _x) iskindof "air") then + { + _points = _points + 300; + }; + }; + }; + + If ("at1" in _capacitygrp || "at2" in _capacitygrp || "at3" in _capacitygrp) then + { + _armor = getNumber (configFile >> "CfgVehicles" >> typeof (vehicle _x) >> "armor"); + If (_armor >= 500 && ("at2" in _capacitygrp || "at3" in _capacitygrp)) then + { + _points = _points + 300; + }; + + If (_armor < 500 && "at1" in _capacitygrp) then + { + _points = _points + 200; + }; + + If (_armor < 250) then + { + _points = _points + 200; + }; + + if (!IsNull (Gunner (vehicle _x))) then + { + _points = _points + 100; + }; + }; + }; + //_points = _points - ((_npcpos vectordistance ((_x getvariable "UPSMON_TargetInfo") select 0)) / 10); MODIFIED BY BARBOLANI + _points = _points - ((_npcpos distance (getPosATL _x)) / 10); + If (_points < 0) then {_points = 0;}; + _list pushback [_x,_points]; + } +} foreach _enies; + +_list = [_list, [], {(_x select 1)}, "DESCEND"] call BIS_fnc_sortBy; + +{ + _enies pushback (_x select 0); +} foreach _list; + +_enies \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Eniesnear.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Eniesnear.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e9292ef5867f71ad667aa57ab8f29e355962ac33 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Eniesnear.sqf @@ -0,0 +1,20 @@ +private ["_npc","_enies","_nbr","_unitsnear"]; + +_npc = _this select 0; +_enies = _this select 1; + +_enies = _enies - _npc; +_unitsnear = nearestobjects [getposATL _npc,["CAManBase","TANK","CAR"],100]; +_nbr = 0; + +{ + If (alive _x) then + { + If (_x in _enies) then + { + _nbr = _nbr +1; + }; + } +} foreach _unitsnear; + +_nbr \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Shareinfos.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Shareinfos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f4d474e3330795db1d10d7b99126193a0e224bb3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Shareinfos.sqf @@ -0,0 +1,67 @@ +/**************************************************************** +File: UPSMON_Shareinfos.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Array of enemies + <--- leader +Returns: + Nothing +****************************************************************/ + +private ["_enemies","_npc","_arrnpc","_side","_pos","_alliednpc","_alliedlead","_enemy"]; + +_npc = _this select 0; +_arrnpc = UPSMON_NPCs - [group _npc]; +_side = side _npc; +_pos = getposATL _npc; +_alliednpc = []; +_enemies = []; + +{ + If (!IsNull _x) then + { + If (alive (leader _x)) then + { + If (_x getvariable ["UPSMON_Shareinfos",false]) then + { + If (_side == side _x) then + { + If (count (_x getvariable ["UPSMON_GrpEnies",[]]) > 0) then + { + If (round ([_pos,getposATL (leader _x)] call UPSMON_distancePosSqr) <= UPSMON_sharedist) then + { + _alliednpc pushback _x; + }; + }; + }; + }; + }; + }; +} foreach _arrnpc; + + +{ + If (!IsNull _x) then + { + _alliedlead = leader _x; + if (alive _alliedlead) then + { + _enies = _x getvariable ["UPSMON_GrpEnies",[]]; + { + If (alive _x) then + { + If (!(_x in _enemies)) then + { + _enemies pushback _x; + }; + }; + } foreach _enies; + }; + sleep 0.1; + }; +} foreach _alliednpc; + +_enemies \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/init.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6098c5839e4285b63bb0951d666f7e8fc20d0b52 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/init.sqf @@ -0,0 +1,10 @@ + +UPSMON_findnearestenemy = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_findnearestenemy.sqf"; +UPSMON_ClassifyEnies = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_ClassifyEnies.sqf"; +UPSMON_Shareinfos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_Shareinfos.sqf"; +UPSMON_TargetAcquisition = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_TargetAcquisition.sqf"; + +UPSMON_Checkratio = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_Checkratio.sqf"; +UPSMON_Eniesnear = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_Eniesnear.sqf"; + +UPSMON_TargetAcquisitionCiv = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_TargetAcquisitionCiv.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/Init.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c5fb8b1bc633652da3305beaee2309aefd5c2bad --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/Init.sqf @@ -0,0 +1,3 @@ + +UPSMON_TerraCognita = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\terrain\fnc\UPSMON_TerraCognita.sqf"; +UPSMON_sample_terrain = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\terrain\fnc\UPSMON_sample_terrain.sqf"; diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_TerraCognita.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_TerraCognita.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9881fef958d506f5d94db09f085579e7d856612e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_TerraCognita.sqf @@ -0,0 +1,70 @@ +/**************************************************************** +File: UPSMON_TerraCognita.sqf +Author: Rydgier + +****************************************************************/ + +private ["_position","_posX","_posY","_radius","_precision","_sourcesCount","_urban","_forest","_hills","_flat","_sea","_valS","_value","_val0","_samples","_sGr","_hprev","_hcurr","_samplePos","_i","_rds"]; + +_position = _this select 0; +_samples = _this select 1; +_rds = 100; +if ((count _this) > 2) then {_rds = _this select 2}; + +if !((typeName _position) == "ARRAY") then {_position = getPosATL _position}; + +_posX = _position select 0; +_posY = _position select 1; + +_radius = 5; +_precision = 1; +_sourcesCount = 1; + +_urban = 0; +_forest = 0; +_hills = 0; +_flat = 0; +_sea = 0; + +_sGr = 0; +_hprev = getTerrainHeightASL [_posX,_posY]; + +for "_i" from 1 to 10 do +{ + _samplePos = [_posX + ((random (_rds * 2)) - _rds),_posY + ((random (_rds * 2)) - _rds)]; + _hcurr = getTerrainHeightASL _samplePos; + _sGr = _sGr + abs (_hcurr - _hprev) +}; + +_sGr = _sGr/10; + +{ + _valS = 0; + + for "_i" from 1 to _samples do + { + _position = [_posX + (random (_rds/5)) - (_rds/10),_posY + (random (_rds/5)) - (_rds/10)]; + + + _value = selectBestPlaces [_position,_radius,_x,_precision,_sourcesCount]; + + _val0 = _value select 0; + _val0 = _val0 select 1; + + _valS = _valS + _val0; + }; + + _valS = _valS/_samples; + + switch (_x) do + { + case ("Houses") : {_urban = _urban + _valS}; + case ("Trees") : {_forest = _forest + (_valS/3)}; + case ("Forest") : {_forest = _forest + _valS}; + case ("Hills") : {_hills = _hills + _valS}; + case ("Meadow") : {_flat = _flat + _valS}; + case ("Sea") : {_sea = _sea + _valS}; + }; +} foreach ["Houses","Trees","Forest","Hills","Meadow","Sea"]; + +[_urban,_forest,_hills,_flat,_sea,_sGr] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_sample_terrain.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_sample_terrain.sqf new file mode 100644 index 0000000000000000000000000000000000000000..98cc6a54f4f55c033e6c86c99a6436ddc52072e1 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_sample_terrain.sqf @@ -0,0 +1,41 @@ +/**************************************************************** +File: UPSMON_sample_terrain.sqf +Author: Azroul13 + +Description: + Get the Type of the terrain that surrounding the position ("inhabited"/"forest"/"sea"/"coast"/"undefined") +Parameter(s): + <--- position +Returns: + Array [terrain type, value of the terrain] +****************************************************************/ + +private ["_sample", "_sampleValue", "_sampleType"]; + +_sample = selectBestPlaces [ + _this, // sample position + 30, // radius + "(1000 * houses) + (100 * forest) + (10 * trees) + (1 * meadow) - (1000 * sea)", // expression + 10, // precision + 1 // sourcesCount +]; + +if ((count _sample) < 1) exitWith +{ + ["undefined", 0] +}; + +_sampleValue = (_sample select 0) select 1; +_sampleType = "meadow"; + +switch (true) do +{ + case (_sampleValue > 200): { _sampleType = "inhabited"; }; + case (_sampleValue > 50): { _sampleType = "forest"; }; + case (_sampleValue < -992): { _sampleType = "sea"; }; + case (_sampleValue < 0): { _sampleType = "coast"; }; + case (_sampleValue == 0): { _sampleType = "undefined"; }; // out of map/end of world +}; + +// return sample +[_sampleType, _sampleValue] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DeployStatic.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DeployStatic.sqf new file mode 100644 index 0000000000000000000000000000000000000000..913bfdc4c53122b7ea7678ee445f8f9c63934763 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DeployStatic.sqf @@ -0,0 +1,42 @@ +/**************************************************************** +File: UPSMON_DeployStatic.sqf +Author: Azroul13 + +Description: + Check before deploying the static +Parameter(s): + +Returns: + +****************************************************************/ +private ["_grp","_currpos","_attackpos","_checkforstatic","_staticteam","_insideveh"]; + +_grp = _this select 0; +_currpos = _this select 1; +_attackpos = _this select 2; + +_checkforstatic = [_grp] call UPSMON_GetStaticTeam; +_staticteam = _checkforstatic select 0; +_weapon = _checkforstatic select 1; + +if (count _staticteam == 2) then +{ + _insideveh = false; + { + If (alive _x) exitwith + { + If (vehicle _x != _x) then + { + If (!_insideveh) then + { + _insideveh = true + }; + }; + }; + } foreach _staticteam; + + If (!_insideveh) then + { + [_staticteam select 0,_staticteam select 1,_currpos,_attackpos,_weapon] spawn UPSMON_Unpackbag; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/init.sqf b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..b381e60d87be0fca9181661a4e667f176f90914b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/init.sqf @@ -0,0 +1,33 @@ + +UPSMON_Getmemberstype = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Getmemberstype.sqf"; +UPSMON_getequipment = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_getequipment.sqf"; +UPSMON_addequipment = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_addequipment.sqf"; + +UPSMON_deadbodies = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_deadbodies.sqf"; + +UPSMON_SetMinefield = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_SetMinefield.sqf"; +UPSMON_PutMine = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_PutMine.sqf"; +UPSMON_PutSatchel = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_PutSatchel.sqf"; +UPSMON_SetSatchel = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_SetSatchel.sqf"; + +UPSMON_DeployStatic = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DeployStatic.sqf"; +UPSMON_Unpackbag = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Unpackbag.sqf"; +UPSMON_Packbag = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Packbag.sqf"; + +UPSMON_Surrended = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Surrended.sqf"; +UPSMON_DoSurrender = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DoSurrender.sqf"; + +UPSMON_dowatch = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_dowatch.sqf"; + +UPSMON_CreateSmokeCover = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_CreateSmokeCover.sqf"; +UPSMON_throw_grenade = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_throw_grenade.sqf"; +UPSMON_DoSmokeScreen = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DoSmokeScreen.sqf"; +UPSMON_throw_stone = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_throw_stone.sqf"; + +UPSMON_FireFlare = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_FireFlare.sqf"; +UPSMON_DoFireFlare = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DoFireFlare.sqf"; +UPSMON_FireGun = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_FireGun.sqf"; +UPSMON_firing = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_firing.sqf"; + +UPSMON_Rearm = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Rearm.sqf"; +UPSMON_DoRearm = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DoRearm.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Music/dog_yelp01.wss b/A3-Antistasi-master/A3-Antistasi/Music/dog_yelp01.wss new file mode 100644 index 0000000000000000000000000000000000000000..05dcf031f2a16d10b7646c6fc775d6865819cab6 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Music/dog_yelp01.wss @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:482e78e70e2930bf27f70210edf72663ac9de480c36df1b27ad7495861a0e78a +size 124698 diff --git a/A3-Antistasi-master/A3-Antistasi/REINF/enemyNearCheck.sqf b/A3-Antistasi-master/A3-Antistasi/REINF/enemyNearCheck.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d9349fc1ec55678b31d42616c8e737c53cbf67b7 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/REINF/enemyNearCheck.sqf @@ -0,0 +1,6 @@ +private ["_unit","_dist","_return"]; +_unit = _this select 0; +_dist = _this select 1; +_return = false; +{if (_x distance _unit < _dist) exitWith {_return = true}} forEach (allUnits select {((side group _x == malos) or (side group _x == muyMalos)) and ([_x] call A3A_fnc_canFight)}); +_return diff --git a/A3-Antistasi-master/A3-Antistasi/REINF/garrisonAdd.sqf b/A3-Antistasi-master/A3-Antistasi/REINF/garrisonAdd.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d4a5d0f8c658ffd7026441d15f5f97673f3c1038 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/REINF/garrisonAdd.sqf @@ -0,0 +1,56 @@ +private ["_hr","_resourcesFIA","_tipo","_coste","_marcador","_garrison","_posicion","_unit","_grupo","_veh","_pos"]; + +_hr = server getVariable "hr"; + +if (_hr < 1) exitWith {hint "You lack of HR to make a new recruitment"}; + +_resourcesFIA = server getVariable "resourcesFIA"; + +_tipo = _this select 0; + +_coste = 0; + +if (_tipo isEqualType "") then + { + _coste = server getVariable _tipo; + _coste = _coste + ([SDKMortar] call A3A_fnc_vehiclePrice); + } +else + { + _tipo = if (random 20 <= skillFIA) then {_tipo select 1} else {_tipo select 0}; + _coste = server getVariable _tipo; + }; + +if (_coste > _resourcesFIA) exitWith {hint format ["You do not have enough money for this kind of unit (%1 € needed)",_coste]}; + +_marcador = posicionGarr; + +if ((_tipo == staticCrewBuenos) and (_marcador in puestosFIA)) exitWith {hint "You cannot add mortars to a Roadblock garrison"}; + +_posicion = getMarkerPos _marcador; + +if (surfaceIsWater _posicion) exitWith {hint "This Garrison is still updating, please try again in a few seconds"}; + +if ([_posicion,500] call A3A_fnc_enemyNearCheck) exitWith {Hint "You cannot Recruit Garrison Units with enemies near the zone"}; +_nul = [-1,-_coste] remoteExec ["A3A_fnc_resourcesFIA",2]; +/* +_garrison = []; +_garrison = _garrison + (garrison getVariable [_marcador,[]]); +_garrison pushBack _tipo; +garrison setVariable [_marcador,_garrison,true]; +//[_marcador] call A3A_fnc_mrkUpdate;*/ +_cuenta = selectMax [count (garrison getVariable _marcador),0]; +[_tipo,buenos,_marcador,1] remoteExec ["A3A_fnc_garrisonUpdate",2]; +waitUntil {(_cuenta < count (garrison getVariable _marcador)) or (lados getVariable [_marcador,sideUnknown] != buenos)}; + +if (lados getVariable [_marcador,sideUnknown] == buenos) then + { + hint format ["Soldier recruited.%1",[_marcador] call A3A_fnc_garrisonInfo]; + + if (spawner getVariable _marcador != 2) then + { + //[_marcador] remoteExec ["tempMoveMrk",2]; + [_marcador,_tipo] remoteExec ["A3A_fnc_createSDKGarrisonsTemp",2]; + }; + }; + diff --git a/A3-Antistasi-master/A3-Antistasi/REINF/garrisonDialog.sqf b/A3-Antistasi-master/A3-Antistasi/REINF/garrisonDialog.sqf new file mode 100644 index 0000000000000000000000000000000000000000..7514f9e3674512b89f8dadb141c6fb193b355fb7 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/REINF/garrisonDialog.sqf @@ -0,0 +1,92 @@ +private ["_tipo","_posicionTel","_cercano","_garrison","_coste","_hr","_size"]; +_tipo = _this select 0; + +if (_tipo == "add") then {hint "Select a zone to add garrisoned troops"} else {hint "Select a zone to remove it's Garrison"}; + +if (!visibleMap) then {openMap true}; +posicionTel = []; + +onMapSingleClick "posicionTel = _pos;"; + +waitUntil {sleep 1; (count posicionTel > 0) or (not visiblemap)}; +onMapSingleClick ""; + +if (!visibleMap) exitWith {}; + +_posicionTel = posicionTel; +posicionGarr = ""; + +_cercano = [marcadores,_posicionTel] call BIS_fnc_nearestPosition; +_posicion = getMarkerPos _cercano; + +if (getMarkerPos _cercano distance _posicionTel > 40) exitWith {hint "You must click near a marked zone"; _nul=CreateDialog "build_menu";}; + +if (not(lados getVariable [_cercano,sideUnknown] == buenos)) exitWith {hint format ["That zone does not belong to %1",nameBuenos]; _nul=CreateDialog "build_menu";}; +if ([_posicion,500] call A3A_fnc_enemyNearCheck) exitWith {hint "You cannot manage this garrison while there are enemies nearby";_nul=CreateDialog "build_menu"}; +//if (((_cercano in puestosFIA) and !(isOnRoad _posicion)) /*or (_cercano in ciudades)*/ or (_cercano in controles)) exitWith {hint "You cannot manage garrisons on this kind of zone"; _nul=CreateDialog "garrison_menu"}; +_puestoFIA = if (_cercano in puestosFIA) then {true} else {false}; +_wPost = if (_puestoFIA and !(isOnRoad getMarkerPos _cercano)) then {true} else {false}; +_garrison = if (! _wpost) then {garrison getVariable [_cercano,[]]} else {SDKSniper}; + +if (_tipo == "rem") then + { + if ((count _garrison == 0) and !(_cercano in puestosFIA)) exitWith {hint "The place has no garrisoned troops to remove"; _nul=CreateDialog "build_menu";}; + _coste = 0; + _hr = 0; + { + if (_x == staticCrewBuenos) then {if (_puestoFIA) then {_coste = _coste + ([vehSDKLightArmed] call A3A_fnc_vehiclePrice)} else {_coste = _coste + ([SDKMortar] call A3A_fnc_vehiclePrice)}}; + _hr = _hr + 1; + _coste = _coste + (server getVariable [_x,0]); + } forEach _garrison; + [_hr,_coste] remoteExec ["A3A_fnc_resourcesFIA",2]; + if (_puestoFIA) then + { + garrison setVariable [_cercano,nil,true]; + puestosFIA = puestosFIA - [_cercano]; publicVariable "puestosFIA"; + marcadores = marcadores - [_cercano]; publicVariable "marcadores"; + deleteMarker _cercano; + lados setVariable [_cercano,nil,true]; + } + else + { + garrison setVariable [_cercano,[],true]; + //[_cercano] call A3A_fnc_mrkUpdate; + //[_cercano] remoteExec ["tempMoveMrk",2]; + {if (_x getVariable ["marcador",""] == _cercano) then {deleteVehicle _x}} forEach allUnits; + }; + [_cercano] call A3A_fnc_mrkUpdate; + hint format ["Garrison removed\n\nRecovered Money: %1 €\nRecovered HR: %2",_coste,_hr]; + _nul=CreateDialog "build_menu"; + } +else + { + posicionGarr = _cercano; + publicVariable "posicionGarr"; + hint format ["Info%1",[_cercano] call A3A_fnc_garrisonInfo]; + closeDialog 0; + _nul=CreateDialog "garrison_recruit"; + sleep 1; + disableSerialization; + + _display = findDisplay 100; + + if (str (_display) != "no display") then + { + _ChildControl = _display displayCtrl 104; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKMil select 0)]; + _ChildControl = _display displayCtrl 105; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKMG select 0)]; + _ChildControl = _display displayCtrl 126; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKMedic select 0)]; + _ChildControl = _display displayCtrl 107; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKSL select 0)]; + _ChildControl = _display displayCtrl 108; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",(server getVariable staticCrewBuenos) + ([SDKMortar] call A3A_fnc_vehiclePrice)]; + _ChildControl = _display displayCtrl 109; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKGL select 0)]; + _ChildControl = _display displayCtrl 110; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKSniper select 0)]; + _ChildControl = _display displayCtrl 111; + _ChildControl ctrlSetTooltip format ["Cost: %1 €",server getVariable (SDKATman select 0)]; + }; + }; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/REINF/postmortem.sqf b/A3-Antistasi-master/A3-Antistasi/REINF/postmortem.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bfe9913291f4c46bf490c78036011c07a105b917 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/REINF/postmortem.sqf @@ -0,0 +1,12 @@ +_muerto = _this select 0; +sleep cleantime; +deleteVehicle _muerto; +_grupo = group _muerto; +if (!isNull _grupo) then + { + if ({alive _x} count units _grupo == 0) then {deleteGroup _grupo}; + } +else + { + if (_muerto in staticsToSave) then {staticsToSave = staticsToSave - [_muerto]; publicVariable "staticsToSave";}; + }; diff --git a/A3-Antistasi-master/A3-Antistasi/REINF/reDress.sqf b/A3-Antistasi-master/A3-Antistasi/REINF/reDress.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9d38d84ac0a62e9f7c0c19a770d04d65239beec7 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/REINF/reDress.sqf @@ -0,0 +1,8 @@ +//if (worldName != "Tanoa") exitWith {}; +private ["_unit"]; + +_unit = _this select 0; + +_unit addUniform (selectRandom banditUniforms); + +_unit addItemToUniform "FirstAidKit"; diff --git a/A3-Antistasi-master/A3-Antistasi/REINF/reinfplayer.sqf b/A3-Antistasi-master/A3-Antistasi/REINF/reinfplayer.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d9972a25d4995625f34bcce90af65e535f6ce7ad --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/REINF/reinfplayer.sqf @@ -0,0 +1,47 @@ +if (not([player] call A3A_fnc_isMember)) exitWith {hint "Only Server Members can recruit AI units"}; +private ["_chequeo","_hr","_tipounidad","_coste","_resourcesFIA","_unit"]; + +//if (!allowPlayerRecruit) exitWith {hint "Server is very loaded. \nWait one minute or change FPS settings in order to fulfill this request"}; + +if (recruitCooldown > time) exitWith {hint format ["You need to wait %1 seconds to be able to recruit units again",round (recruitCooldown - time)]}; + +if (player != player getVariable ["owner",player]) exitWith {hint "You cannot buy units while you are controlling AI"}; + +if ([player,300] call A3A_fnc_enemyNearCheck) exitWith {Hint "You cannot Recruit Units with enemies nearby"}; + +if (player != leader group player) exitWith {hint "You cannot recruit units as you are not your group leader"}; + +_hr = server getVariable "hr"; + +if (_hr < 1) exitWith {hint "You do not have enough HR for this request"}; +_arraytipounidad = _this select 0; +_tipoUnidad = _arrayTipoUnidad select 0; +_coste = server getVariable _tipounidad; +if (!isMultiPlayer) then {_resourcesFIA = server getVariable "resourcesFIA"} else {_resourcesFIA = player getVariable "dinero";}; + +if (_coste > _resourcesFIA) exitWith {hint format ["You do not have enough money for this kind of unit (%1 € needed)",_coste]}; + +_squadLimit = if(isMultiPlayer) then {10} else {20}; +if ((count units group player) + (count units rezagados) > _squadLimit - 1 ) exitWith {hint "Your squad is full or you have too many scattered units with no radio contact"}; +if (random 20 <= skillFIA) then {_tipoUnidad = _arrayTipoUnidad select 1}; +_unit = group player createUnit [_tipounidad, position player, [], 0, "NONE"]; + +if (!isMultiPlayer) then + { + _nul = [-1, - _coste] remoteExec ["A3A_fnc_resourcesFIA",2]; + } +else + { + _nul = [-1, 0] remoteExec ["A3A_fnc_resourcesFIA",2]; + [- _coste] call A3A_fnc_resourcesPlayer; + ["dinero",player getVariable ["dinero",0]] call fn_SaveStat; + hint "Soldier Recruited.\n\nRemember: if you use the group menu to switch groups you will lose control of your recruited AI"; + }; + +[_unit] spawn A3A_fnc_FIAinit; +_unit disableAI "AUTOCOMBAT"; +sleep 1; +petros directSay "SentGenReinforcementsArrived"; + + + diff --git a/A3-Antistasi-master/A3-Antistasi/REINF/stealStatic.sqf b/A3-Antistasi-master/A3-Antistasi/REINF/stealStatic.sqf new file mode 100644 index 0000000000000000000000000000000000000000..406dfaf60ce8d7906cc799bddc30897b4915445c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/REINF/stealStatic.sqf @@ -0,0 +1,18 @@ +private ["_cercano"]; +params ["_estatica","_jugador"]; + +if (!alive _estatica) exitWith {hint "You cannot steal a destroyed static weapon"}; + +if (alive gunner _estatica) exitWith {hint "You cannot steal a static weapon when someone is using it"}; + +if ((alive assignedGunner _estatica) and (!isPlayer (assignedGunner _estatica))) exitWith {hint "The gunner of this static weapon is still alive"}; + +if (activeGREF and ((typeOf _estatica == staticATBuenos) or (typeOf _estatica == staticAABuenos))) exitWith {hint "This weapon cannot be dissassembled"}; + +_cercano = [marcadores,_estatica] call BIS_fnc_nearestPosition; + +if (not(lados getVariable [_cercano,sideUnknown] == buenos)) exitWith {hint "You have to conquer this zone in order to be able to steal this Static Weapon"}; + +_estatica setOwner (owner _jugador); + +_nul = [_estatica] call fn_saveStatic; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/REINF/vehStats.sqf b/A3-Antistasi-master/A3-Antistasi/REINF/vehStats.sqf new file mode 100644 index 0000000000000000000000000000000000000000..da1ad4010841ed3c83219548d67bf8bac185e140 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/REINF/vehStats.sqf @@ -0,0 +1,112 @@ +if (count hcSelected player == 0) exitWith {hint "You must select one group on the HC bar"}; + +private ["_grupo","_veh","_texto","_unidades"]; + +/* +_esStatic = false; +{if (vehicle _x isKindOf "StaticWeapon") exitWith {_esStatic = true}} forEach units _grupo; +if (_esStatic) exitWith {hint "Static Weapon squad vehicles cannot be managed"}; +*/ + +if (_this select 0 == "mount") exitWith + { + _texto = ""; + { + _grupo = _x; + _veh = objNull; + { + _owner = _x getVariable "owner"; + if (!isNil "_owner") then {if (_owner == _grupo) exitWith {_veh = _x}}; + } forEach vehicles; + if !(isNull _veh) then + { + _transporte = true; + if (count allTurrets [_veh, false] > 0) then {_transporte = false}; + if (_transporte) then + { + if (leader _grupo in _veh) then + { + _texto = format ["%2%1 dismounting\n",groupID _grupo,_texto]; + {[_x] orderGetIn false; [_x] allowGetIn false} forEach units _grupo; + } + else + { + _texto = format ["%2%1 boarding\n",groupID _grupo,_texto]; + {[_x] orderGetIn true; [_x] allowGetIn true} forEach units _grupo; + }; + } + else + { + if (leader _grupo in _veh) then + { + _texto = format ["%2%1 dismounting\n",groupID _grupo,_texto]; + if (canMove _veh) then + { + {[_x] orderGetIn false; [_x] allowGetIn false} forEach assignedCargo _veh; + } + else + { + _veh allowCrewInImmobile false; + {[_x] orderGetIn false; [_x] allowGetIn false} forEach units _grupo; + } + } + else + { + _texto = format ["%2%1 boarding\n",groupID _grupo,_texto]; + {[_x] orderGetIn true; [_x] allowGetIn true} forEach units _grupo; + }; + }; + }; + } forEach hcSelected player; + if (_texto != "") then {hint format ["%1",_texto]}; + }; +_texto = ""; +_grupo = (hcSelected player select 0); +player sideChat format ["%1, SITREP!!",groupID _grupo]; +_unidades = units _grupo; +_texto = format ["%1 Status\n\nAlive members: %2\nAble to combat: %3\nCurrent task: %4\nCombat Mode:%5\n",groupID _grupo,{alive _x} count _unidades,{[_x] call A3A_fnc_canFight} count _unidades,_grupo getVariable ["tarea","Patrol"],behaviour (leader _grupo)]; +if ({[_x] call A3A_fnc_isMedic} count _unidades > 0) then {_texto = format ["%1Operative Medic\n",_texto]} else {_texto = format ["%1No operative Medic\n",_texto]}; +if ({_x call A3A_fnc_typeOfSoldier == "ATMan"} count _unidades > 0) then {_texto = format ["%1With AT capabilities\n",_texto]}; +if ({_x call A3A_fnc_typeOfSoldier == "AAMan"} count _unidades > 0) then {_texto = format ["%1With AA capabilities\n",_texto]}; +if (!(isNull(_grupo getVariable ["morteros",objNull])) or ({_x call A3A_fnc_typeOfSoldier == "StaticMortar"} count _unidades > 0)) then + { + if ({vehicle _x isKindOf "StaticWeapon"} count _unidades > 0) then {_texto = format ["%1Mortar is deployed\n",_texto]} else {_texto = format ["%1Mortar not deployed\n",_texto]}; + } +else + { + if ({_x call A3A_fnc_typeOfSoldier == "StaticGunner"} count _unidades > 0) then + { + if ({vehicle _x isKindOf "StaticWeapon"} count _unidades > 0) then {_texto = format ["%1Static is deployed\n",_texto]} else {_texto = format ["%1Static not deployed\n",_texto]}; + }; + }; + +_veh = objNull; +{ +_owner = _x getVariable "owner"; +if (!isNil "_owner") then {if (_owner == _grupo) exitWith {_veh = _x}}; +} forEach vehicles; +if (isNull _veh) then + { + { + if ((vehicle _x != _x) and (_x == driver _x) and !(vehicle _x isKindOf "StaticWeapon")) exitWith {_veh = vehicle _x}; + } forEach _unidades; + }; +if !(isNull _veh) then + { + _texto = format ["%1Current vehicle:\n%2\n",_texto,getText (configFile >> "CfgVehicles" >> (typeOf _veh) >> "displayName")]; + if (!alive _veh) then + { + _texto = format ["%1DESTROYED",_texto]; + } + else + { + if (!canMove _veh) then {_texto = format ["%1DISABLED\n",_texto]}; + if (count allTurrets [_veh, false] > 0) then + { + if (!canFire _veh) then {_texto = format ["%1WEAPON DISABLED\n",_texto]}; + if (someAmmo _veh) then {_texto = format ["%1Munitioned\n",_texto]}; + }; + _texto = format ["%1Boarded:%2/%3",_texto,{vehicle _x == _veh} count _unidades,{alive _x} count _unidades]; + }; + }; +hint format ["%1",_texto]; diff --git a/A3-Antistasi-master/A3-Antistasi/REINF/vehiclePrice.sqf b/A3-Antistasi-master/A3-Antistasi/REINF/vehiclePrice.sqf new file mode 100644 index 0000000000000000000000000000000000000000..468c14d7affeffb84942da6d1576e26f926eaca0 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/REINF/vehiclePrice.sqf @@ -0,0 +1,17 @@ +private ["_tipo","_coste"]; + +_tipo = _this select 0; + +_coste = server getVariable _tipo; + +if (isNil "_coste") then + { + diag_log format ["Antistasi Error en vehicleprice: %!",_tipo]; + _coste = 0; + } +else + { + _coste = round (_coste - (_coste * (0.1 * ({lados getVariable [_x,sideUnknown] == buenos} count puertos)))); + }; + +_coste \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_CanSee.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_CanSee.sqf new file mode 100644 index 0000000000000000000000000000000000000000..dba0d023628f852e36f37dc1f417d369e3c43b2b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_CanSee.sqf @@ -0,0 +1,40 @@ +//**************************************************************** +//File: UPSMON_CanSee.sqf +//Author: Azroul13 + +//Description: +// Check if the unit not facing something that block his view +//Parameter(s): +// <--- Unit +// <--- unit direction +// <--- Height +//Returns: +// boolean +//**************************************************************** +private ["_see","_infront","_uposASL","_opp","_adj","_hyp","_eyes","_obstruction","_angle"]; + +_unit = _this select 0; +_angle = _this select 1; +_hyp = _this select 2; + + +_eyes = eyepos _unit; + +_adj = _hyp * (cos _angle); +_opp = sqrt ((_hyp*_hyp) - (_adj * _adj)); + +_infront = if ((_angle) >= 180) then +{ + [(_eyes select 0) - _opp,(_eyes select 1) + _adj,(_eyes select 2)] +} +else +{ + [(_eyes select 0) + _opp,(_eyes select 1) + _adj,(_eyes select 2)] +}; + +_obstruction = (lineintersectswith [_eyes,_infront,_unit]) select 0; + + +_see = if (isnil("_obstruction")) then {true} else {false}; + +_see \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetPos2D.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetPos2D.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a6c56e5449a89366a11456008fb62773b1bf245e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetPos2D.sqf @@ -0,0 +1,29 @@ +/**************************************************************** +File: UPSMON_GetPos2D.sqf +Author: MONSADA + +Description: + Funcin que devuelve una posicin en 2D a partir de otra, una direccin y una distancia +Parameter(s): + <--- Position + <--- Direction + <--- Distance +Returns: + Position +****************************************************************/ +private ["_pos","_dir","_dist","_cosU","_cosT","_relTX","_sinU","_sinT","_relTY","_newPos","_newPosX","_newPosY" ]; + +_pos = _this select 0; +_dir = _this select 1; +_dist = _this select 2; + +if (isnil "_pos") exitWith {}; +_targetX = _pos select 0; _targetY = _pos select 1; + +//Calculamos posicin +_cosU = [_dir] call UPSMON_GetCOS; _sinU = [_dir] call UPSMON_GetSIN; +_cosT = abs cos(_dir); _sinT = abs sin(_dir); +_relTX = _sinT * _dist * _cosU; _relTY = _cosT * _dist * _sinU; +_newPosX = _targetX + _relTX; _newPosY = _targetY + _relTY; +_newPos = [_newPosX,_newPosY]; +_newPos; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetSIN.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetSIN.sqf new file mode 100644 index 0000000000000000000000000000000000000000..76a0461dc049a0720c03f7861579e9cbcebddc9e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_GetSIN.sqf @@ -0,0 +1,38 @@ +/**************************************************************** +File: UPSMON_GetSIN.sqf +Author: MONSADA + +Description: + Funcin que devuelve el valor negativo o positivo del seno en base a un angulo +Parameter(s): + +Returns: + +****************************************************************/ +private["_dir","_sin","_cos"]; + +_dir=_this select 0; +if (isnil "_dir") exitWith {}; +if (_dir<90) then +{ + _sin=1; +} +else +{ + if (_dir<180) then + { + _sin=-1; + } + else + { + if (_dir<270) then + { + _sin=-1; + } + else + { + _sin=1; + }; + }; +}; +_sin \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getnearestplayer.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getnearestplayer.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9420f3c54f43d4b46086b8d6ced666fd07e2877e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getnearestplayer.sqf @@ -0,0 +1,34 @@ +/**************************************************************** +File: UPSMON_Getnearestplayer.sqf +Author: Azroul13 + +Description: + Get the nearest player near the position. +Parameter(s): + <--- Position + <--- Distance +Returns: + Nearest unit or ObjNull +****************************************************************/ +private ["_position","_nearestdist","_height","_nearest","_haslos"]; + +_position = _this select 0; +_nearestdist = _this select 1; + +_nearest = objNull; + +{ + if (isPlayer _x) then + { + If ((getposATL _x) select 2 <= 100) then + { + If ((getposATL _x vectorDistance [_position select 0,_position select 1,0]) <= _nearestdist) exitwith + { + _nearest=_x; + }; + }; + }; +} forEach playableUnits; + +//playableUnits; +_nearest diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getunitsincargo.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getunitsincargo.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a5dc459e894c713f91c107c95c55c38b31619c9f --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Getunitsincargo.sqf @@ -0,0 +1,27 @@ +/**************************************************************** +File: UPSMON_Getunitsincargo.sqf +Author: Azroul13 + +Description: + Function for order a unit to exit if no gunner +Parameter(s): + +Returns: + +****************************************************************/ +private["_vehicle","_unitsincargo","_crew"]; + +_vehicle = _this select 0; + +_unitsincargo = []; + +_crew = crew _vehicle; + +{ + If (alive _x) then + { + _unitsincargo pushback _x; + }; +} foreach _crew; + +_unitsincargo \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Haslos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Haslos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bc86c0efdbde0bb228b5b4808017378490c19c6d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Haslos.sqf @@ -0,0 +1,49 @@ +/**************************************************************** +File: UPSMON_Haslos.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- unit + <--- Target + <--- Max distance the unit can see the target + <--- Field of view of the unit +Returns: + Boolean +****************************************************************/ + +private ["_unit", "_target", "_range", "_fov","_eyeVector","_eyeDirection","_eyePosition","_targetPosition", "_inRange", "_result"]; + +_unit = [_this,0] call BIS_fnc_param; +_target = [_this,1] call BIS_fnc_param; +_range = [_this,2,100,[0]] call BIS_fnc_param; +_fov = [_this,3,130,[0]] call BIS_fnc_param; + +_result = false; +_inRange = ((getposATL _unit) vectordistance (getposATL _target)) < _range; +_eyeVector = eyeDirection _unit; +_eyeDirection = ((_eyeVector select 0) atan2 (_eyeVector select 1)); +_eyePosition = eyePos _unit; +_targetPosition = eyePos _target; + +If (!(_target iskindof "CAManBase")) then +{ + _targetPosition = aimpos _target; +}; + +if (_inRange) then +{ + if ([_eyePosition, _eyeDirection, _fov, _targetPosition] call BIS_fnc_inAngleSector) then + { + if (!lineIntersects[_eyePosition, _targetPosition, vehicle _unit, vehicle _target]) then + { + if (!terrainIntersectASL[_eyePosition, _targetPosition]) then + { + _result = true; + }; + }; + }; +}; + +_result; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_LOS.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_LOS.sqf new file mode 100644 index 0000000000000000000000000000000000000000..78b70296d8987b388e65b4cb8c3c2414ad231fe3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_LOS.sqf @@ -0,0 +1,32 @@ +/**************************************************************** +File: UPSMON_LOS.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- position to check + <--- Target position +Returns: + Boolean +****************************************************************/ + +private ["_poso","_posd","_los_ok"]; + +_poso = _this select 0; +_posd = _this select 1; + +_poso = [_poso select 0, _poso select 1, (getTerrainHeightASL [_poso select 0, _poso select 1]) +1]; +_posd = [_posd select 0, _posd select 1, (getTerrainHeightASL [_posd select 0, _posd select 1]) +1]; + +_los_ok = false; +If (!terrainIntersectASL [_poso,_posd]) then +{ + //lineIntersects [_poso, _posd] + If (count (lineintersectsobjs [_poso,_posd,objnull,objnull,false]) == 0) then + { + _los_ok = true; + }; +}; + +_los_ok; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nighttime.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nighttime.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e7100ecbde2fa72db5754fb6bd038918b26a93b6 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nighttime.sqf @@ -0,0 +1,24 @@ +/**************************************************************** +File: UPSMON_timeloop.sqf +Author: CarlGustav + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private ["_lat","_day","_hour","_sunangle","_Night"]; + +_Night = false; +_lat = -1 * getNumber(configFile >> "CfgWorlds" >> worldName >> "latitude"); +_day = 360 * (dateToNumber date); +_hour = (daytime / 24) * 360; +_sunangle = ((12 * cos(_day) - 78) * cos(_lat) * cos(_hour)) - (24 * sin(_lat) * cos(_day)); + +If (_sunangle < 0) then {_Night = true;}; +If (_sunangle > 0) then {_Night = False;}; + +_Night; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nowp.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nowp.sqf new file mode 100644 index 0000000000000000000000000000000000000000..da851e66b7d6e9bcb163dd4e15080fe8b985cf7e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Nowp.sqf @@ -0,0 +1,62 @@ +/**************************************************************** +File: UPSMON_Nowp.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private ["_grp","_target","_supstatus","_nowp"]; + +_grp = _this select 0; +_target = _this select 1; +_supstatus = _this select 2; + +_nowp = true; + +If (_grp getvariable ["UPSMON_NOWP",0] == 0) then +{ + If (_grp getvariable ["UPSMON_Grpmission",""] != "AMBUSH") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "FORTIFY") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "RETREAT") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "SURRENDER") then + { + _nowp = false; + }; + } + }; + }; +} +else +{ + switch (_grp getvariable ["UPSMON_NOWP",0]) do + { + case 1: + { + If (!IsNull _target) then + { + _nowp = false; + }; + }; + case 2: + { + If (_supstatus == "INCAPACITED") then + { + _nowp = false; + }; + }; + case 3: + { + //Always Nowp = true + }; + }; +}; + +_nowp \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Replace.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Replace.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ee8480ed45affcac9f271804af882c47d0ae077c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_Replace.sqf @@ -0,0 +1,37 @@ +/**************************************************************** +File: UPSMON_Replace.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_str","_old","_new","_out","_tmp","_jm","_la","_lo","_ln","_i"]; + +_str=_this select 0; +_arr=toArray(_str); +_la=count _arr; +_old=_this select 1; +_new=_this select 2; +_na=[_new] call UPSMON_StrToArray; +_lo=[_old] call UPSMON_StrLen; +_ln=[_new] call UPSMON_StrLen; +_out=""; +for "_i" from 0 to (count _arr)-1 do { + _tmp=""; + if (_i <= _la-_lo) then { + for "_j" from _i to (_i+_lo-1) do { + _tmp=_tmp + toString([_arr select _j]); + }; + }; + if (_tmp==_old) then { + _out=_out+_new; + _i=_i+_lo-1; + } else { + _out=_out+toString([_arr select _i]); + }; +}; +_out \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHFIREDNEAR.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHFIREDNEAR.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a77fd0e842e8a412eac9cca42b837bce9cedb7fe --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHFIREDNEAR.sqf @@ -0,0 +1,24 @@ +/**************************************************************** +File: UPSMON_SN_EHFIREDNEAR.sqf +Author: Rafalsky + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_unit","_shooter","_dist"]; + +_unit = _this select 0; +_shooter = _this select 1; +_dist = _this select 2; + +If (alive _unit) then +{ + If (!(_unit getvariable ["UPSMON_Civfleeing",false])) then + { + ["FLEE",_unit,_shooter,_dist] spawn UPSMON_Civaction; + }; +}; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHHIT.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHHIT.sqf new file mode 100644 index 0000000000000000000000000000000000000000..b82cd2fa553a967168e2b32620216225282810eb --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHHIT.sqf @@ -0,0 +1,24 @@ +/**************************************************************** +File: UPSMON_SN_EHHIT.sqf +Author: Rafalsky + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_unit","_shooter","_grpId"]; +_unit = _this select 0; +_shooter = _this select 1; +_grp = group _unit; + +if (!(_unit in UPSMON_GOTHIT_ARRAY)) then +{ + if (side _unit != side _shooter) then + { + UPSMON_GOTHIT_ARRAY pushback _unit; + if (UPSMON_Debug > 0) then {player globalchat format["UNIT: %1, SHOOTER :%2 %3",_unit,_shooter,side _shooter]}; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLED.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLED.sqf new file mode 100644 index 0000000000000000000000000000000000000000..047ec3d29a37d7baf84f2db824254b3492d4b242 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLED.sqf @@ -0,0 +1,41 @@ +/**************************************************************** +File: UPSMON_SN_EHHIT.sqf +Author: Rafalsky + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_unit","_shooter","_grpId"]; +_unit = _this select 0; +_shooter = _this select 1; +if (typeName _shooter != typeName objNull) then {_shooter = _unit};//added by Barbolani to avoid .rpt error +_grp = group _unit; + + +if (!(_unit in UPSMON_GOTKILL_ARRAY)) then +{ + if (side _unit != side _shooter) then + { + _alliednear = false; + + { + if (alive _x) then + { + if (getposATL _unit vectordistance getposATL _x <= 30) exitwith + { + _alliednear = true; + }; + }; + } foreach units _grp; + + If (_alliednear) then + { + UPSMON_GOTKILL_ARRAY pushback _unit; + //if (UPSMON_Debug > 0) then {player globalchat format["UNIT: %1, SHOOTER :%2 %3",_unit,_shooter,side _shooter]}; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLEDCIV.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLEDCIV.sqf new file mode 100644 index 0000000000000000000000000000000000000000..5af50c19056ec8e13faee937a58701f558cb2175 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_SN_EHKILLEDCIV.sqf @@ -0,0 +1,51 @@ +/**************************************************************** +File: R_SN_EHKILLEDCIV.sqf +Author: Rafalsky + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_killer","_side"]; + +_killer = _this select 1; + +//only if player killed a civilian +if (isPlayer _killer) then +{ + KILLED_CIV_COUNTER set [0,(KILLED_CIV_COUNTER select 0) + 1]; + + // if (UPSMON_Debug > 0) then {player globalchat format["KILLER: %1, %2", side _killer,KILLED_CIV_COUNTER ]}; + switch (side _killer) do + { + case west: + { + KILLED_CIV_COUNTER set [1,(KILLED_CIV_COUNTER select 1) + 1]; + UPSMON_WEST_HM = UPSMON_WEST_HM - UPSMON_Ammountofhostility; + }; + + case east: + { + KILLED_CIV_COUNTER set [2,(KILLED_CIV_COUNTER select 2) + 1]; + UPSMON_EAST_HM = UPSMON_EAST_HM - UPSMON_Ammountofhostility; + }; + + case resistance: + { + KILLED_CIV_COUNTER set [3,(KILLED_CIV_COUNTER select 3) + 1]; + UPSMON_GUER_HM = UPSMON_GUER_HM - UPSMON_Ammountofhostility; + }; + }; + + KILLED_CIV_COUNTER set [4,_killer]; + + //if (UPSMON_Debug > 0) then {player globalchat format["KILLER: %1", side _killer ]}; + if (UPSMON_Debug > 0) then {player globalchat format["KILLED_CIV_COUNTER: %1",KILLED_CIV_COUNTER]}; + if (R_WHO_IS_CIV_KILLER_INFO > 0) then + { + call compile format ["[{UPSMON_Logic_civkill globalChat ""A CIVILIAN WAS KILLED BY %1"";},""BIS_fnc_spawn""] call BIS_fnc_MP;",name _killer]; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrInStr.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrInStr.sqf new file mode 100644 index 0000000000000000000000000000000000000000..245c303700b23e9d4ce0a8b0098a39625e37b813 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrInStr.sqf @@ -0,0 +1,16 @@ +/**************************************************************** +File: UPSMON_StrInStr.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_out"]; + +_in=_this select 0; +_out=if (([_this select 0,_this select 1] call UPSMON_StrIndex)==-1) then {false} else {true}; +_out \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrIndex.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrIndex.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4844118ecf3ff7acef3cdaeb3e6c31ca36dbef36 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrIndex.sqf @@ -0,0 +1,31 @@ +/**************************************************************** +File: UPSMON_StrIndex.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_hay","_ndl","_lh","_ln","_arr","_tmp","_i","_j","_out"]; + +_hay=_this select 0; +_ndl=_this select 1; +_out=-1; +_i=0; +if (_hay == _ndl) exitWith {0}; +_lh=[_hay] call UPSMON_StrLen; +_ln=[_ndl] call UPSMON_StrLen; +if (_lh < _ln) exitWith {-1}; +_arr=[_hay] call UPSMON_StrToArray; +for "_i" from 0 to (_lh-_ln) do +{ + _tmp=""; + for "_j" from _i to (_i+_ln-1) do { + _tmp=_tmp + (_arr select _j); + }; + if (_tmp==_ndl) exitWith {_out=_i}; +}; +_out \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrLen.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrLen.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9d807b572a62ae01d73c1798a2aca1699c1e3d2f --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrLen.sqf @@ -0,0 +1,17 @@ +/**************************************************************** +File: UPSMON_StrLen.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_in","_arr","_len"]; + +_in=_this select 0; +_arr=[_in] call UPSMON_StrToArray; +_len=count (_arr); +_len \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrToArray.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrToArray.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4123b9d369cc9a10e454259d113768480ca99c3d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_StrToArray.sqf @@ -0,0 +1,20 @@ +/**************************************************************** +File: UPSMON_StrToArray.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_in","_i","_arr","_out"]; + +_in=_this select 0; +_arr = toArray(_in); +_out=[]; +for "_i" from 0 to (count _arr)-1 do { + _out=_out+[toString([_arr select _i])]; +}; +_out \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6066d34f0c91a7d68df59917647a277d7c54c117 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK.sqf @@ -0,0 +1,107 @@ +/**************************************************************** +File: UPSMON_TRACK.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_grpid","_leader","_pos","_rankshort","_lastname","_wppos","_markercolor","_grptype","_drawicon","_text","_trackername","_destname"]; + + +While {true} do +{ + { + If (!IsNull _x) then + { + If (alive (leader _x)) then + { + _grpid = _x getvariable ["UPSMON_grpid",0]; + _leader = leader _x; + _pos = getposATL _leader; + _rankshort = [rank _leader,"displayNameShort"] call BIS_fnc_rankparams; + _lastname = name _leader; + _units = (units _x) - [_leader]; + + _wppos = waypointPosition [_x,count(waypoints _x)-1]; + + _markercolor = switch (side _leader) do { + case west: {"ColorBlue"}; + case east: {"ColorRed"}; + case resistance: {"ColorGreen"}; + default {"ColorBlack"}; + }; + + _grptype = [_leader] call UPSMON_grptype; + _drawicon = "b_inf"; + If (_grptype == "Iscar") then {_drawicon = "b_motor_inf"}; + If (_grptype == "IsAir") then {_drawicon = "b_plane";}; + If (_grptype == "Isboat") then {_drawicon = "b_naval";}; + + _text = format ["%1. %2 - Grpcount: %3 - Mission: %4 Status: %5 - Target: %6",_rankshort, _lastname,count units _x,_x getvariable ["UPSMON_Grpmission","PATROL"],_x getvariable ["UPSMON_Grpstatus","GREEN"],_x getvariable ["UPSMON_GrpTarget",ObjNull]]; + + _trackername = format["trk_%1",_grpid]; + + if (getMarkerColor _trackername == "") then + { + _markerlead = createMarker [_trackername,[0,0]]; + }; + _trackername setMarkerShape "ICON"; + _trackername setMarkerType _drawicon; + _trackername setmarkerpos _pos; + _trackername setmarkercolor _markercolor; + _trackername setMarkerText _text; + + If (count(waypoints _x) != 0) then + { + _destname = format["dest_%1",_grpid]; + _wptext = format ["%1. %2",_rankshort, _lastname]; + if (getMarkerColor _destname == "") then + { + _markerobj = createMarker[_destname,[0,0]]; + }; + _destname setMarkerShape "ICON"; + _destname setMarkerType "mil_objective"; + _destname setmarkerpos _wppos; + _destname setmarkercolor _markercolor; + _destname setMarkerText _wptext; + }; + + If (count _units > 0) then + { + _i = 0; + { + _i = _i + 1; + _trackerunit = format["trk_%1_%2",_grpid,_i]; + _unit = _x; + If (alive _unit) then + { + _pos2 = getposATL _unit; + if (getMarkerColor _trackerunit == "") then + { + _markerunit = createMarker [_trackerunit,[0,0]]; + }; + _trackerunit setMarkerShape "ICON"; + _trackerunit setMarkerType "mil_triangle"; + _trackerunit setmarkerpos _pos2; + _trackerunit setmarkercolor _markercolor; + _trackerunit setmarkerdir (getdir _unit); + } + else + { + if (getMarkerColor _trackerunit == "") then + { + Deletemarker _trackerunit; + }; + }; + } foreach _units; + }; + }; + }; + } foreach UPSMON_Trackednpcs; + + sleep 0.5; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK2.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK2.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4a5ac9ce249d144ee9748944a582ff35675a0a6a --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_TRACK2.sqf @@ -0,0 +1,132 @@ +/**************************************************************** +File: UPSMON_TRACK.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_grp"]; + + +_grp = _this select 0; +If !(_grp in UPSMON_Trackednpcs) then {UPSMON_Trackednpcs set [count UPSMON_Trackednpcs,_grp];}; +_eh = ((findDisplay 12) displayCtrl 51) ctrlAddEventHandler +["Draw", +' + { + If (!IsNull _x) then + { + if (count units _x > 0) then + { + _leader = leader _x; + _rankshort = [rank _leader,"displayNameShort"] call BIS_fnc_rankparams; + _lastname = name _leader; + _scale = (sizeof typeof _leader) / 30; + _units = (units _x) - [_leader]; + _colorblufor = [(profilenamespace getvariable ["Map_BLUFOR_R",0]),(profilenamespace getvariable ["Map_BLUFOR_G",1]),(profilenamespace getvariable ["Map_BLUFOR_B",1]),(profilenamespace getvariable ["Map_BLUFOR_A",0.8])]; + _coloropfor = [(profilenamespace getvariable ["Map_OPFOR_R",0]),(profilenamespace getvariable ["Map_OPFOR_G",1]),(profilenamespace getvariable ["Map_OPFOR_B",1]),(profilenamespace getvariable ["Map_OPFOR_A",0.8])]; + _colorindfor = [(profilenamespace getvariable ["Map_Independent_R",0]),(profilenamespace getvariable ["Map_Independent_G",1]),(profilenamespace getvariable ["Map_Independent_B",1]),(profilenamespace getvariable ["Map_Independent_A",0.8])]; + _colorciv = [(profilenamespace getvariable ["Map_Civilian_R",0]),(profilenamespace getvariable ["Map_Civilian_G",1]),(profilenamespace getvariable ["Map_Civilian_B",1]),(profilenamespace getvariable ["Map_Civilian_A",0.8])]; + _color = []; + if (side _leader == west) then {_color = _colorblufor;}; + if (side _leader == east) then {_color = _coloropfor;}; + if (side _leader == resistance) then {_color = _colorindfor;}; + if (side _leader == civilian) then {_color = _colorciv;}; + + _align = "right"; + _fontsize = 0.04; + + _grptype = [_leader] call UPSMON_grptype; + _drawicon = configfile >> "CfgMarkers" >> "b_inf" >> "icon"; + _drawwpicon = configfile >> "CfgMarkers" >> "mil_objective" >> "icon"; + If (_grptype == "Iscar") then {_drawicon = configfile >> "CfgMarkers" >> "b_motor_inf" >> "icon";}; + If (_grptype == "IsAir") then {_drawicon = configfile >> "CfgMarkers" >> "b_plane" >> "icon";}; + If (_grptype == "Isboat") then {_drawicon = configfile >> "CfgMarkers" >> "b_naval" >> "icon";}; + + _align = "left"; + _textwp = ""; + _text = format ["%1. %2 - Grpcount: %3 - Mission: %4 Status: %5 - Target: %6",_rankshort, _lastname,count units _x,_x getvariable ["UPSMON_Grpmission","PATROL"],_x getvariable ["UPSMON_Grpstatus","GREEN"],_x getvariable ["UPSMON_GrpTarget",ObjNull]]; + + (_this select 0) drawIcon [ + getText _drawicon, + _color, + visiblePosition _leader, + 0.5/ctrlMapScale (_this select 0), + 0.5/ctrlMapScale (_this select 0), + direction _leader, + --, + 1, + _fontsize, + "TahomaB", + _align + ]; + If (count(waypoints _x) != 0) then + { + _wppos = waypointPosition [_x,count(waypoints _x)-1]; + (_this select 0) drawIcon [getText (_drawwpicon), _color,_wppos, 0.5/ctrlMapScale (_this select 0), 0.5/ctrlMapScale (_this select 0), direction _leader, _textwp, 1, _fontsize, "TahomaB", _align]; + }; + _behcolor = [1,1,1,1]; + if (behaviour _leader == "SAFE") then {_behcolor = [0,0.8,0,1]}; + if (behaviour _leader == "AWARE") then {_behcolor = [0.85,0.85,0,1]}; + if (behaviour _leader == "COMBAT") then {_behcolor = [0.9,0,0,1]}; + if (behaviour _leader == "STEALTH") then {_behcolor = [0,0,1,1]}; + if !(((expectedDestination _leader) select 0) select 0 < 1 AND ((expectedDestination _leader) select 0) select 1 < 1) then + { + (_this select 0) drawArrow [ + visiblePosition _leader, + ((expectedDestination _leader) select 0), + _behcolor + ]; + }; + }; + }; + } foreach UPSMON_Trackednpcs +' +]; + +/**************************************************************** +_eh = ((findDisplay 12) displayCtrl 51) ctrlAddEventHandler +[ + "Draw" +,' + _leader = leader _grp; + _rankshort = [rank _leader,"displayNameShort"] call BIS_fnc_rankparams; + _lastname = name _leader; + _scale = (sizeof typeof _leader) / 30; + _colorblufor = [(profilenamespace getvariable ["Map_BLUFOR_R",0]),(profilenamespace getvariable ["Map_BLUFOR_G",1]),(profilenamespace getvariable ["Map_BLUFOR_B",1]),(profilenamespace getvariable ["Map_BLUFOR_A",0.8])]; + _coloropfor = [(profilenamespace getvariable ["Map_OPFOR_R",0]),(profilenamespace getvariable ["Map_OPFOR_G",1]),(profilenamespace getvariable ["Map_OPFOR_B",1]),(profilenamespace getvariable ["Map_OPFOR_A",0.8])]; + _colorindfor = [(profilenamespace getvariable ["Map_Independent_R",0]),(profilenamespace getvariable ["Map_Independent_G",1]),(profilenamespace getvariable ["Map_Independent_B",1]),(profilenamespace getvariable ["Map_Independent_A",0.8])]; + _colorciv = [(profilenamespace getvariable ["Map_Civilian_R",0]),(profilenamespace getvariable ["Map_Civilian_G",1]),(profilenamespace getvariable ["Map_Civilian_B",1]),(profilenamespace getvariable ["Map_Civilian_A",0.8])]; + _color = []; + if (side _leader == west) then {_color = _colorblufor;}; + if (side _leader == east) then {_color = _coloropfor;}; + if (side _leader == resistance) then {_color = _colorindfor;}; + if (side _leader == civilian) then {_color = _colorciv;}; + + _align = "right"; + _fontsize = 0.04; + + _grptype = [_leader] call UPSMON_grptype; + _drawicon = configfile >> "CfgMarkers" >> "b_inf" >> "icon"; + If (_grptype == "Iscar") then {_drawicon = configfile >> "CfgMarkers" >> "b_motor_inf" >> "icon";}; + If (_grptype == "IsAir") then {_drawicon = configfile >> "CfgMarkers" >> "b_plane" >> "icon";}; + If (_grptype == "Isboat") then {_drawicon = configfile >> "CfgMarkers" >> "b_naval" >> "icon";}; + + _align = "left"; + _unitshit = []; + {if (damage _x >= 0.65) then {_unitshit set [count _unitshit,_x];}}foreach units _leader; + _text = format ["%1. %2 - Grpcount: %3 - Wounding units: %4",_rankshort, _lastname,count units group _leader,count _unitshit]; + + (_this select 0) drawIcon [getText (_drawicon), _color, visiblePosition _leader, 0.5/ctrlMapScale (_this select 0), 0.5/ctrlMapScale (_this select 0), direction _leader, _text, 1, _fontsize, "TahomaB", _align]; + _behcolor = [1,1,1,1]; + if (behaviour _leader == "SAFE") then {_behcolor = [0.85,0.85,0,1]}; + if (behaviour _leader == "AWARE") then {_behcolor = [0,0.8,0,1]}; + if (behaviour _leader == "COMBAT") then {_behcolor = [0.9,0,0,1]}; + if (behaviour _leader == "STEALTH") then {_behcolor = [0,0,1,1]}; + if !(((expectedDestination _leader) select 0) select 0 < 1 AND ((expectedDestination _leader) select 0) select 1 < 1) then { (_this select 0) drawArrow [visiblePosition _leader, ((expectedDestination _leader) select 0), _behcolor];};' +]; +****************************************************************/ \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_arrayShufflePlus.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_arrayShufflePlus.sqf new file mode 100644 index 0000000000000000000000000000000000000000..db9b8073c7cbb28866ed8554a3c92eee97933c2e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_arrayShufflePlus.sqf @@ -0,0 +1,26 @@ +/**************************************************************** +File: UPSMON_arrayShufflePlus.sqf +Author: KillZoneKid + +Description: + +Parameter(s): + <--- Array +Returns: + Array +****************************************************************/ + +private ["_cnt","_el1","_rnd","_indx","_el2"]; + +_cnt = count _this - 1; +_el1 = _this select _cnt; +_this resize _cnt; +_rnd = random diag_tickTime * _cnt; +for "_i" from 0 to _cnt do { + _indx = floor random _rnd % _cnt; + _el2 = _this select _indx; + _this set [_indx, _el1]; + _el1 = _el2; +}; +_this set [_cnt, _el1]; +_this \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_checkbackpack.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_checkbackpack.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1bcf3b8b2e224d69eb348e1938181a2f1c859fb1 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_checkbackpack.sqf @@ -0,0 +1,30 @@ +/**************************************************************** +File: UPSMON_checkbackpack.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- bagpack +Returns: + ---> Gun type classname + ---> tripod type classname +****************************************************************/ +private ["_bagpack","_cfg","_parents","_result","_gun","_tripod","_gun"]; + +_bagpack = _this select 0; +_cfg = (configFile >> "cfgVehicles" >> _bagpack); +_parents = [_cfg,true] call BIS_fnc_returnParents; + +_result = []; +_gun = ""; +_tripod = []; + +if ("Weapon_Bag_Base" in _parents) then +{ + _gun = gettext (configFile >> "cfgVehicles" >> _bagpack >> "assembleInfo" >> "assembleTo"); + _tripod = getarray (configFile >> "cfgVehicles" >> _bagpack >> "assembleInfo" >> "base"); + _result = [_gun,_tripod]; +}; + +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_createmarker.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_createmarker.sqf new file mode 100644 index 0000000000000000000000000000000000000000..89b2824235ed3a519bdef493b9af0b4057d84407 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_createmarker.sqf @@ -0,0 +1,33 @@ +/**************************************************************** +File: UPSMON_createmarker.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_pos","_m","_shape","_type","_color","_size"]; + +_pos = _this select 0; +_shape = _this select 1; +_type = _this select 2; +_color = _this select 3; +_size = 1; +If (count _this > 4) then {_size = _this select 4;}; + +_m = createMarker [format["mPos%1%2",(floor(_pos select 0)),(floor(_pos select 1))],_pos]; +_m setmarkerColor _color; +_m setMarkerShape _shape; +If (_shape != "ICON") then +{ + _m setMarkerSize _size; + _m setMarkerBrush _type +} +else +{ + _m setMarkerType _type; + If (count _this > 4) then {_m setMarkerText (_this select 4);}; +}; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_createsign.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_createsign.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e4b12788e35a31cae90cb598ac26dd6b56959420 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_createsign.sqf @@ -0,0 +1,18 @@ +/**************************************************************** +File: UPSMON_createmarker.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_pos","_sign","_type"]; + +_pos = _this select 0; +_type = _this select 1; + +_sign = _type createvehicle [0,0,0]; +_sign setpos _pos; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_deleteDead.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_deleteDead.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f76b7ec665d8d95e1ab16af2c6e2e29def0ac499 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_deleteDead.sqf @@ -0,0 +1,18 @@ +/**************************************************************** +File: UPSMON_deleteDead.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_u","_s"]; + +_u=_this select 0; +_s= _this select 1; +_u removeAllEventHandlers "killed"; +sleep _s; +deletevehicle _u \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_distancePosSqr.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_distancePosSqr.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e1769efb1a256f9683be8fa3cefcd127a2f20e43 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_distancePosSqr.sqf @@ -0,0 +1,12 @@ +/**************************************************************** +File: UPSMON_distancePosSqr.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +round(((((_this select 0) select 0)-((_this select 1) select 0))^2 + (((_this select 0) select 1)-((_this select 1) select 1))^2)^0.5) \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_getArg.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_getArg.sqf new file mode 100644 index 0000000000000000000000000000000000000000..69e9365572f406c7b74f4125e012f7025f383b56 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_getArg.sqf @@ -0,0 +1,21 @@ +/**************************************************************** +File: UPSMON_getArg.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_cmd","_arg","_list","_a","_v"]; + +_cmd=_this select 0; +_arg=_this select 1; +_list=_this select 2; +_a=-1; +{_a=_a+1; _v=format["%1",_list select _a]; +if (_v==_cmd) then {_arg=(_list select _a+1)}} foreach _list; + +_arg \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_getDirPos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_getDirPos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..529aca5747a4a90e543110a2cefe72e39401d5ca --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_getDirPos.sqf @@ -0,0 +1,23 @@ +/**************************************************************** +File: UPSMON_randomPos.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_a","_b","_from","_to","_return"]; + +_from = _this select 0; +_to = _this select 1; +_return = 0; + +_a = ((_to select 0) - (_from select 0)); +_b = ((_to select 1) - (_from select 1)); +if (_a != 0 || _b != 0) then {_return = _a atan2 _b}; +if ( _return < 0 ) then { _return = _return + 360 }; + +_return \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_getminesclass.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_getminesclass.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4e96d26b9c072dcb096a5a9e9549effb4219a2c3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_getminesclass.sqf @@ -0,0 +1,52 @@ +/**************************************************************** +File: UPSMON_getminesclass.sqf +Author: Azroul13 + +Description: + +Parameter(s): + Nothing +Returns: + Array of mines types +****************************************************************/ + +private ["_minesclassname","_minetype1","_minetype2","_cfgvehicles","_cfgvehicle","_inherit","_vehicle"]; + +_minesclassname = []; +_minetype1 = []; +_minetype2 = []; +_minetype3 = []; + +_APMines = []; +_ATMines = []; +_underwatermines = []; + + +{ + _mineTriggerType = tolower gettext (_x >> "mineTriggerType"); + if (_mineTriggerType in ["radius","wire"]) then + { + _mineMagnetic = getnumber (_x >> "mineMagnetic"); + _array = if (_mineMagnetic > 0) then {_ATMines} else {_APMines}; + _underwatermine=[tolower configname _x,"underwater"] call UPSMON_StrInStr; + if (_underwatermine) then {_array=_underwatermines;}; + _array set [count _array,tolower configname _x]; + }; +} foreach ((configfile >> "CfgMineTriggers") call bis_fnc_returnchildren); + +{ + _cfgvehicle = _x; + _inherit = inheritsFrom _cfgvehicle; + If ((configName _inherit) == "MineBase") then + { + _vehicle = configName _cfgvehicle; + _ammo = tolower gettext (_cfgvehicle >> "ammo"); + _trigger = tolower gettext (configfile >> "cfgAmmo" >> _ammo >> "mineTrigger"); + if (_trigger in _ATMines) then {_minetype1 set [count _minetype1,_vehicle];}; + if (_trigger in _APMines) then {_minetype2 set [count _minetype2,_vehicle];}; + if (_trigger in _underwatermines) then {_minetype3 set [count _minetype3,_vehicle];}; + }; +} foreach ((configfile >> "CfgVehicles") call bis_fnc_returnchildren); + +_minesclassname = [_minetype1,_minetype2,_minetype3]; +_minesclassname \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_overwatch.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_overwatch.sqf new file mode 100644 index 0000000000000000000000000000000000000000..21a2a44a9bf018566b9d7855e29d9cd11aae19db --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_overwatch.sqf @@ -0,0 +1,71 @@ +/* + File: fn_findOverwatch.sqf + Author: Dean "Rocket" Hall + + Description: + Function which selects a position that provides overwatch + onto another position. + + Parameter(s): + _this select 0: the target position (position) + _this select 1: maximum distance from target in meters (optional) + _this select 2: minimum distance from target in meters (optional) + _this select 3: minimum height in relation to target in meters (optional) + _this select 4: position to start looking from, if different from target pos (optional) +*/ +private ["_unit","_dir","_targetPos","_distance","_pool","_i","_flankAngle","_scan","_points","_targetPosTemp","_terrainscan","_los_ok","_final"]; + +_unit = _this select 0; +_dir = _this select 1; + +_targetPos = getposATL _unit; + +_pool = []; + +_i = 0; +_scan = true; + +while {_scan} do +{ + _i = _i + 1; + _targetPosTemp = [_targetPos,[0,50],[_dir +70,_dir +220],0,[0,100],5] call UPSMON_pos; + If (!surfaceIsWater _targetPosTemp) then + { + _points = 0; + _targetPosTemp = [_targetPosTemp select 0,_targetPosTemp select 1,0]; + If (_unit != vehicle _unit) then + { + If (isOnRoad _targetPosTemp) then + { + _points = _points +20; + }; + _value = [_targetPosTemp,1,1] call UPSMON_TerraCognita; + _meadow = _value select 3; + _terr = _meadow * 100; + _elev = getTerrainHeightASL [_targetPosTemp select 0,_targetPosTemp select 1]; + _points = _points + _terr + _elev; + } + else + { + _value = [_targetPosTemp,1,1] call UPSMON_TerraCognita; + _urban = _value select 0; + _forest = _value select 1; + _terr = (_urban + _forest) * 100; + _elev = getTerrainHeightASL [_targetPosTemp select 0,_targetPosTemp select 1]; + _points = _points +_terr + _elev; + }; + + _los_ok = [_targetPos,_targetPosTemp] call UPSMON_LOS; + If (_los_ok) then {_points = _points + 200;}; + _targetpostemp pushback _points; + _pool pushback _targetPosTemp; + }; + If (count _pool > 10 || _i > 50) then {_scan = false}; +}; + + +_pool = [_pool, [], {_x select 3}, "DESCEND"] call BIS_fnc_sortBy; + +If (count _pool > 0) then {_targetpos = [(_pool select 0) select 0,(_pool select 0) select 1,0];}; + +_targetPos; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_randomPos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_randomPos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..737c79dde4041ee9326f019bb6a8112076ab9fdc --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_randomPos.sqf @@ -0,0 +1,25 @@ +/**************************************************************** +File: UPSMON_randomPos.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_cx","_cy","_rx","_ry","_cd","_sd","_ad","_tx","_ty","_xout","_yout"]; + +_cx=_this select 0; +_cy=_this select 1; +_rx=_this select 2; +_ry=_this select 3; +_cd=_this select 4; +_sd=_this select 5; +_ad=_this select 6; +_tx=random (_rx*2)-_rx; +_ty=random (_ry*2)-_ry; +_xout=if (_ad!=0) then {_cx+ (_cd*_tx - _sd*_ty)} else {_cx+_tx}; +_yout=if (_ad!=0) then {_cy+ (_sd*_tx + _cd*_ty)} else {_cy+_ty}; +[_xout,_yout] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_rotpoint.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_rotpoint.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ae41ef8833b19f31b8e307afe4bec347e9c57d13 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_rotpoint.sqf @@ -0,0 +1,31 @@ +/**************************************************************** +File: UPSMON_rotpoint.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_cp","_a","_tx","_ty","_cd","_sd","_cx","_cy","_xout","_yout"]; + +_cp=_this select 0; +_cx=_cp select 0; +_cy=_cp select 1; +_a=_this select 1; +_cd=cos(_a*-1); +_sd=sin(_a*-1); +_tx=_this select 2; +_ty=_this select 3; +_xout=if (_a!=0) then +{ + _cx+ (_cd*_tx - _sd*_ty) +} else +{ + _cx+_tx +}; +_yout=if (_a!=0) then {_cy+ (_sd*_tx + _cd*_ty)} else {_cy+_ty}; + +[_xout,_yout,0] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_setArg.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_setArg.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6cc731589e450ea71d0d1d9eb5dce872d2756a23 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_setArg.sqf @@ -0,0 +1,27 @@ +/**************************************************************** +File: UPSMON_setArg.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_cmd","_arg","_list","_a","_v"]; + +_cmd=_this select 0; +_arg=_this select 1; +_list=_this select 2; +_a=-1; +{ + _a=_a+1; + _v= format ["%1", _list select _a]; + if (_v==_cmd) then + { + _a=_a+1; + _list set [_a,_arg]; + }; +} foreach _list; +_list \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_spawnmines.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_spawnmines.sqf new file mode 100644 index 0000000000000000000000000000000000000000..01eb8c02321cf207fd6fd6fd73b414216a84bf72 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_spawnmines.sqf @@ -0,0 +1,65 @@ +/**************************************************************** +File: UPSMON_spawnmines.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private ["_minesnbr","_minetype1","_minetype2","_positiontoambush","_minetype","_mineposition","_max","_min","_ang","_dir","_orgX","_orgY","_posX","_posY","_mineposition","_Mine"]; + +_minesnbr = _this select 0; +_minetype1 = _this select 1; +_minetype2 = _this select 2; +_positiontoambush = _this select 3; +_diramb = _this select 4; +_side = _this select 5; + +for [{_i=0}, {_i < _minesnbr}, {_i=_i+1}] do +{ + _minetype= _minetype1; + _mineposition = _positiontoambush; + + If (_i > 0) then + { + _minetype = _minetype2; + // Many thanks Shuko ... + _max = 0; _min = 0; + if (floor (random 4) < 2) then + { + _min = _diramb + 270; + _max = _diramb + 335; + } + else + { + _min = _diramb + 25; + _max = _diramb + 90; + }; + + _ang = _max - _min; + // Min bigger than max, can happen with directions around north + if (_ang < 0) then { _ang = _ang + 360 }; + if (_ang > 360) then { _ang = _ang - 360 }; + _dir = (_min + random _ang); + + _orgX = _positiontoambush select 0; + _orgY = _positiontoambush select 1; + _posX = _orgX + (((random 10) + (random 30 +5)) * sin _dir); + _posY = _orgY + (((random 10) + (random 30 +5)) * cos _dir); + _mineposition = [_posX,_posY,0]; + }; + + + _Mine=createMine [_minetype,_mineposition, [], 0]; + _side revealMine _Mine; + if (UPSMON_Debug>0) then + { + [_mineposition,"Sign_Arrow_Large_GREEN_F"] spawn UPSMON_createsign; + [_mineposition,"Icon","Minefield","Colorred"] spawn UPSMON_createmarker + }; + sleep 0.01; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_stayInside.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_stayInside.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1559aa8969bb62d144e66add8a79ef805ce2884a --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Core/fnc/UPSMON_stayInside.sqf @@ -0,0 +1,25 @@ +/**************************************************************** +File: UPSMON_stayInside.sqf +Author: KRONZKY + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_np","_nx","_ny","_cp","_cx","_cy","_rx","_ry","_d","_tp","_tx","_ty","_fx","_fy"]; + +_np=_this select 0; _nx=_np select 0; _ny=_np select 1; +_cp=_this select 1; _cx=_cp select 0; _cy=_cp select 1; +_rx=_this select 2; _ry=_this select 3; _d=_this select 4; +_tp = [_cp,_d,(_nx-_cx),(_ny-_cy)] call UPSMON_rotpoint; +_tx = _tp select 0; _fx=_tx; +_ty = _tp select 1; _fy=_ty; +if (_tx<(_cx-_rx)) then {_fx=_cx-_rx}; +if (_tx>(_cx+_rx)) then {_fx=_cx+_rx}; +if (_ty<(_cy-_ry)) then {_fy=_cy-_ry}; +if (_ty>(_cy+_ry)) then {_fy=_cy+_ry}; +if ((_fx!=_tx) || (_fy!=_ty)) then {_np = [_cp,_d*-1,(_fx-_cx),(_fy-_cy)] call UPSMON_rotpoint}; +_np; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_filter.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_filter.sqf new file mode 100644 index 0000000000000000000000000000000000000000..2e5f5128b3d7785ccf09e71353ec964d314ea049 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_filter.sqf @@ -0,0 +1,45 @@ +/**************************************************************** +File: UPSMON_fnc_filter.sqf +Author: Robalo + +Description: + Filter cover objects +Parameter(s): + <--- Object +Returns: + boolean +****************************************************************/ +private ["_type","_z","_bbox","_dz","_dy"]; + +if (_this isKindOf "Man") exitWith {false}; +if (_this isKindOf "STATICWEAPON") exitWith {false}; +if (_this isKindOf "Bird") exitWith {false}; +if (_this isKindOf "BulletCore") exitWith {false}; +if (_this isKindOf "Grenade") exitWith {false}; +if (_this isKindOf "WeaponHolder") exitWith {false}; +if (_this isKindOf "WeaponHolderSimulated") exitWith {false}; +if (_this isKindOf "Sound") exitWith {false}; +//if (!isTouchingGround _this) exitWith {false}; +if (isBurning _this) exitWith {false}; +if (["slop", (format ["%1", _this])] call BIS_fnc_inString) exitWith {false}; +if (["fence", (format ["%1", _this])] call BIS_fnc_inString) then +{ + If (!(_this isKindOf "Strategic")) exitwith {false}; +}; + +_type = typeOf _this; +if (_type == "") then +{ + if (damage _this == 1) exitWith {false}; +} else { + //if (_type in ["#soundonvehicle","#mark","#crater","#crateronvehicle","#soundonvehicle","#particlesource","#lightpoint","#slop"]) exitWith {false}; +}; + +_z = (getPosATL _this) select 2; +if (_z > 0.3) exitWith {false}; +_bbox = boundingBoxReal _this; +_dz = ((_bbox select 1) select 2) - ((_bbox select 0) select 2); +_dy = abs(((_bbox select 1) select 0) - ((_bbox select 0) select 0));//width +if ((_dz > 0.35) && (_dy > 0.35) ) exitWith {true}; + +false \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_find_cover.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_find_cover.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9466771d706f3c9021f410486862f19c81021634 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_find_cover.sqf @@ -0,0 +1,89 @@ +/**************************************************************** +File: UPSMON_fnc_find_cover.sqf +Author: OLLEM + +Description: + Make a group move to cover +Parameter(s): + <--- Leader position + <--- Position to watch + <--- Radius searching + <--- Do the unit move or spawn to the cover position ? + <--- Array of group units +Returns: + Nothing +****************************************************************/ + +private ["_unitpos","_lookpos","_dist","_spawn","_units","_i","_objects","_vdir","_cpos","_object","_coverPosition"]; + +_unitpos = _this select 0; +_lookpos = _this select 1; +_dist = _this select 2; +_spawn = _this select 3; +_units = _this select 4; + +_i = 0; +If (count _this > 5) then {_i = _this select 5;}; + +If (_i > 3) exitwith {_units}; + +if (_spawn) then +{ + { + _pos2 = _unitpos findEmptyPosition [1,25]; + _x setposATL _pos2; + }foreach _units; +}; + +_movetocover = []; + +(group (_units select 0)) setvariable ["UPSMON_Cover",true]; +if (UPSMON_Debug>0) then {player sidechat "Cover"}; +//potential cover objects list +_objects = [(nearestObjects [_unitpos, [], _dist]), { _x call UPSMON_fnc_filter } ] call BIS_fnc_conditionalSelect; + +_vdir = [_unitpos, _lookpos] call BIS_fnc_DirTo; + +{ + If (alive _x) then + { + If (count _objects > 0) then + { + _object = _objects select 0; + _objects = _objects - [_object]; + If (!IsNull _object) then + { + //_x is potential cover object + _cPos = (getPosATL _object); + + //set coverposition to 1.3 m behind the found cover + _coverPosition = [(_cPos select 0) - (sin(_vdir)*1.5), (_cPos select 1) - (cos(_vdir)*1.5), 0]; + + //Any object which is high and wide enough is potential cover position, excluding water + if (!(surfaceIsWater _coverPosition)) exitwith + { + + if (UPSMON_Debug>0) then + { + _ballCover = "sign_sphere100cm_F" createvehicle _coverPosition; + _ballCover setpos _coverPosition; + diag_log format ["object: %1",_object]; + }; + + _movetocover pushback _x; + [_x,[_object, _coverPosition],_lookpos,_spawn] spawn UPSMON_fnc_move_to_cover; + }; + }; + }; + }; +} foreach _units; + +_units = _units - _movetocover; + +If (count _units > 0) then +{ + _i = _i + 1; + _units = [_unitpos,_lookpos,_dist,_spawn,_units] call UPSMON_fnc_find_cover; +}; + +_units; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_move_to_cover.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_move_to_cover.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f605d0796ca830956aaad64e1630741db46b5f38 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/fnc/UPSMON_fnc_move_to_cover.sqf @@ -0,0 +1,88 @@ +/**************************************************************** +File: UPSMON_fnc_move_to_cover.sqf +Author: OLLEM + +Description: + Make a group move to cover +Parameter(s): + <--- unit + <--- Cover Array + <--- Cover object + <--- Cover position + <--- Position to watch + <--- Do the unit move or spawn to the cover position ? +Returns: + Nothing +****************************************************************/ + +private ["_unit","_coverArray","_lookpos","_spawn","_cover","_coverPosition","_coverDist","_stopped","_continue","_checkTime","_dist","_sight"]; + +_unit = _this select 0; +_coverArray = _this select 1; +_lookpos = _this select 2; +_spawn = _this select 3; + +_cover = _coverArray select 0; +_coverPosition = _coverArray select 1; + +if (_spawn) then +{ + _unit setposATL _coverPosition; + doStop _unit; + + if (_unit == leader (group _unit) || random 100 < 50) then + { + [_unit,_lookpos] call UPSMON_dowatch; + }; +} +else +{ + Dostop _unit; + _unit domove _coverPosition; + _unit forceSpeed 100; + _unit setDestination [_coverPosition, "LEADER PLANNED", true]; + + _coverDist = round ([getposATL _unit,_coverPosition] call UPSMON_distancePosSqr); + + _stopped = true; + _continue = true; + + _checkTime = (time + (1.7 * _coverDist) + 20); + + while { _continue } do + { + + _dist = ([getposATL _unit,_coverPosition] call UPSMON_distancePosSqr); + + if (!(unitReady _unit) && (alive _unit) && (_dist > 1.25) && (_unit getvariable ["UPSMON_SUPSTATUS",""] == "")) then + { + //if unit takes too long to reach cover or moves too far out stop at current location + if (time <= _checkTime) then + { + _continue = false; + } + else + { + //_coverPosition = getPosATL _unit; + //_unit doMove _coverPosition; + + //_continue = true; + }; + } + else + { + _continue = false; + _stopped = false; + }; + }; + + _unit forcespeed -1; + if (!( _stopped)) then + { + doStop _unit; + _unit setBehaviour "STEALTH"; + _sight = [_unit,getdir _unit, 50] call UPSMON_CanSee; + If (!_sight) then {_unit setUnitPos "MIDDLE";}; + }; +}; + \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ee439033106692dc960d0137fc91183faef4d61b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Cover/init.sqf @@ -0,0 +1,5 @@ + +UPSMON_fnc_move_to_cover = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Cover\fnc\UPSMON_fnc_move_to_cover.sqf"; + +UPSMON_fnc_find_cover = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Cover\fnc\UPSMON_fnc_find_cover.sqf"; +UPSMON_fnc_filter = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Cover\fnc\UPSMON_fnc_filter.sqf"; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..58cd59a3a759ad67bf40584092c8873ca7e020c4 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/Init.sqf @@ -0,0 +1,20 @@ + +UPSMON_getleader = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_getleader.sqf"; +UPSMON_SetLeaderGrp = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_SetLeaderGrp.sqf"; +UPSMON_getunits = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_getunits.sqf"; +UPSMON_getNearestSoldier = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_getNearestSoldier.sqf"; + +UPSMON_grptype = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_grptype.sqf"; +UPSMON_GetStaticTeam = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_GetStaticTeam.sqf"; +UPSMON_composeteam = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_composeteam.sqf"; +UPSMON_analysegrp = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_analysegrp.sqf"; +UPSMON_supstatestatus = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_supstatestatus.sqf"; +UPSMON_checkmunition = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_checkmunition.sqf"; + +UPSMON_Isgrpstuck = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_Isgrpstuck.sqf"; +UPSMON_IsRetreating = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_IsRetreating.sqf"; +UPSMON_IsSurrending = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_IsSurrending.sqf"; +UPSMON_Cangrpmaneuver = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_Cangrpmaneuver.sqf"; +UPSMON_Supressfire = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_Supressfire.sqf"; + +UPSMON_ChangeFormation = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Group\fnc\UPSMON_ChangeFormation.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Cangrpmaneuver.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Cangrpmaneuver.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6d800c02d82ab9e6a150e34334916f5c155381e8 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Cangrpmaneuver.sqf @@ -0,0 +1,34 @@ + +private ["_grp","_nowp","_attackpos","_typeofgrp","_maneuver"]; + +_grp = _this select 0; +_nowp = _this select 1; +_attackpos = _this select 2; +_typeofgrp = _this select 3; + +_maneuver = false; + +If (!_nowp) then +{ + If (count _attackpos > 0) then + { + If (!("static" in _typeofgrp)) then + { + If (!("arti" in _typeofgrp)) then + { + If (!("supply" in _typeofgrp)) then + { + If (_grp getvariable ["UPSMON_TIMEORDER",time] <= time) then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "TRANSPORT") then + { + _maneuver = true; + }; + }; + }; + }; + }; + }; +}; + +_maneuver; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_ChangeFormation.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_ChangeFormation.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4ebfd80805a7f0fe9a4f88ea740884628349a6e2 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_ChangeFormation.sqf @@ -0,0 +1,171 @@ +/**************************************************************** +File: UPSMON_SetStances.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private ["_grp","_supstatus","_attackpos","_dist","_terrainscan","_haslos","_time"]; + +_grp = _this select 0; +_supstatus = _this select 1; +_attackpos = _this select 2; +_dist = _this select 3; +_terrainscan = _this select 4; +_haslos = _this select 5; +_typeofgrp = _this select 6; + +If (!(_grp getvariable ["UPSMON_haschangedformation",false])) then +{ + _grp setvariable ["UPSMON_haschangedformation",true]; + If ("air" in _typeofgrp) then + { + If ((Speedmode _grp) != "FULL") then + { + _grp setspeedmode "FULL"; + }; + } + else + { + If (_supstatus != "SUPRESSED") then + { + If (count _attackpos > 0) then + { + If (_dist > 500 || !_haslos) then + { + If (vehicle (leader _grp) == (leader _grp)) then + { + If ((Speedmode _grp) != "NORMAL") then + { + _grp setspeedmode "NORMAL"; + }; + If (_dist < 200) then + { + If ((Formation _grp) != "LINE") then + { + _grp setformation "LINE"; + }; + } + else + { + If ((Formation _grp) != "STAG COLUMN") then + { + _grp setformation "STAG COLUMN"; + }; + }; + }; + } + else + { + If (_dist > 150) then + { + If (!(Behaviour (leader _grp) in ["COMBAT","STEALTH"])) then + { + _grp setBehaviour "COMBAT"; + }; + + If ((Formation _grp) != "WEDGE") then + { + _grp setformation "WEDGE"; + }; + }; + + If (_dist <= 150) then + { + If ((_terrainscan select 0) == "forest" || (_terrainscan select 0) == "inhabited") then + { + If ((Speedmode _grp) != "LIMITED") then + { + _grp setspeedmode "LIMITED"; + }; + + if ((_terrainscan select 0) == "inhabited") then + { + If ((_terrainscan select 1) > 230) then + { + If ((Formation _grp) != "STAG COLUMN") then + { + _grp setformation "STAG COLUMN"; + }; + }; + }; + }; + + If ((_terrainscan select 0) == "meadow") then + { + If ((Speedmode _grp) != "FULL") then + { + _grp setspeedmode "FULL"; + }; + If ((Formation _grp) != "LINE") then + { + _grp setformation "LINE"; + }; + }; + }; + }; + }; + } + else + { + If (_supstatus != "") then + { + If ((behaviour (leader _grp)) != "COMBAT") then + { + (leader _grp) setbehaviour "COMBAT"; + }; + + If ((_terrainscan select 0) == "meadow") then + { + If (Speedmode _grp != "NORMAL") then + { + _grp setspeedmode "NORMAL"; + }; + }; + + If ((_terrainscan select 0) == "forest" || (_terrainscan select 0) == "inhabited") then + { + If ((Speedmode _grp) != "LIMITED") then + { + _grp setspeedmode "LIMITED"; + }; + + If ((Formation _grp) != "DIAMOND") then + { + _grp setformation "DIAMOND"; + }; + }; + } + else + { + If ((Speedmode _grp) != "LIMITED") then + { + _grp setSpeedmode "LIMITED"; + }; + + If ((Behaviour (leader _grp)) != "STEALTH") then + { + _grp setBehaviour "STEALTH"; + }; + }; + }; + }; +}; + +[_grp] spawn +{ + private ["_grp"]; + + _grp = _this select 0; + + sleep 20; + If (!IsNull _grp) then + { + _grp setvariable ["UPSMON_haschangedformation",false]; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GetStaticTeam.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GetStaticTeam.sqf new file mode 100644 index 0000000000000000000000000000000000000000..601cb91f501a6b5fbf83f5e44c33df7b4af79aa2 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GetStaticTeam.sqf @@ -0,0 +1,54 @@ +/**************************************************************** +File: UPSMON_GetStaticTeam.sqf +Author: Azroul13 + +Description: + Check if group has weapon in bag (gun barrel and tripod) +Parameter(s): + <--- group +Returns: + ---> Static Team [Gunner,Assistant] + ---> Class of the static +****************************************************************/ + +private ["_grp","_position","_targetpos","_result","_staticTeam","_vehicle","_tripods","_unit","_backpack","_lots"]; + +_grp = _this select 0; + +_result = []; +_staticTeam = []; +_vehicle = []; +_tripods = []; + +{ + if (alive _x) then + { + _unit = _x; + _backpack = backpack _Unit; + If (_backpack != "") then + { + _lots = [_backpack] call UPSMON_checkbackpack; + if (count _lots > 0) exitwith {_vehicle = _lots select 0; _tripods = _lots select 1; _staticTeam pushback _x;}; + }; + }; +} foreach units _grp; + +if (count _staticTeam > 0) then +{ + + { + if (alive _x) then + { + _unit = _x; + _backpack = backpack _Unit; + If (_backpack != "") then + { + if (_backpack in _tripods) exitwith {_staticTeam pushback _x;}; + }; + }; + + } foreach units _grp; +}; + +_result = [_staticTeam,_vehicle]; +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GothitParam.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GothitParam.sqf new file mode 100644 index 0000000000000000000000000000000000000000..b2f440ff7f3d14573363e5aba4464b97bbd700b3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_GothitParam.sqf @@ -0,0 +1,35 @@ +/**************************************************************** +File: UPSMON_GothitParam.sqf +Author: Azroul13 + +Description: + Is the unit hit ? Or Does it under fire ? + +Parameter(s): + <--- unit +Returns: + Boolean +****************************************************************/ + +private ["_npc","_gothit"]; + +_npc = _this select 0; +_gothit = false; + +If (isNil "tpwcas_running") then +{ + if (group _npc in UPSMON_GOTHIT_ARRAY || group _npc in UPSMON_GOTKILL_ARRAY) then + { + _gothit = true; + }; +} +else +{ + _Supstate = [_npc] call UPSMON_supstatestatus; + if (group _npc in UPSMON_GOTHIT_ARRAY || group _npc in UPSMON_GOTKILL_ARRAY || _Supstate >= 2) then + { + _gothit = true; + }; +}; + +_gothit \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsRetreating.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsRetreating.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a03f9920a17558dbc995e32121bf1d36dd54aada --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsRetreating.sqf @@ -0,0 +1,44 @@ + +if (true) exitWith {}; //BARBOLANI: will disable this feature as Antistasi has all UPSMon units as garrisoned ones and it's very bugged. + +private ["_grp","_dist","_ratio","_supstatus","_unitsneedammo","_typeofgrp","_assignedvehicles","_attackpos"]; + +_grp = _this select 0; +_dist = _this select 1; +_ratio = _this select 2; +_supstatus = _this select 3; +_unitsneedammo = _this select 4; +_typeofgrp = _this select 5; +_attackpos = _this select 6; +_assignedvehicles = _this select 7; + + +If (_grp getvariable ["UPSMON_Grpmission",""] != "RETREAT") then +{ + If (!("static" in _typeofgrp)) then + { + If (_ratio > 2 || (count units _grp) == count _unitsneedammo || (_supstatus != "INCAPACITED") || ("arti" in _typeofgrp) || ("support" in _typeofgrp)) then + { + If (_dist >= 300) then + { + If (_supstatus != "SUPRESSED") then + { + If (!(fleeing (leader _grp))) then + { + //If ((random 100) <= (call (compile format ["UPSMON_%1_RETREAT",(_grp getvariable ["UPSMON_Origin",[]]) select 5]))) then//modified to avoid .rpt bugs + If ((random 100) <= 10) then + { + [_grp,_attackpos,_typeofgrp,_assignedvehicles] spawn UPSMON_DORETREAT; + _grp setvariable ["UPSMON_Grpmission","RETREAT"]; + _grpstatus = "BLUE"; + If (_AttackPos select 0 != 0 && _AttackPos select 1 != 0) then + { + if (side (leader _grp) != buenos) then {[[_attackPos,(side(leader _grp)),"",false],"A3A_fnc_patrolCA"] remoteExec ["A3A_fnc_scheduler",2]}; + };//by Barbolani so AAF UPSMon garrisons call QRF + }; + }; + }; + }; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsSurrending.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsSurrending.sqf new file mode 100644 index 0000000000000000000000000000000000000000..2bacf8f6e61873adf6ecf3bd7cf60ca2df631246 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_IsSurrending.sqf @@ -0,0 +1,38 @@ + +private ["_grp","_dist","_ratio","_supstatus","_unitsneedammo","_typeofgrp","_haslos"]; + +_grp = _this select 0; +_dist = _this select 1; +_ratio = _this select 2; +_supstatus = _this select 3; +_unitsneedammo = _this select 4; +_typeofgrp = _this select 5; +_haslos = _this select 6; + + +If (_grp getvariable ["UPSMON_Grpmission",""] != "RETREAT") then +{ + If (UPSMON_SURRENDER) then + { + If ((random 100) <= (call (compile format ["UPSMON_%1_SURRENDER",(_grp getvariable ["UPSMON_Origin",[]]) select 5]))) then + { + If (!("air" in _typeofgrp)) then + { + If (_ratio > 2 || ((count units _grp) == count _unitsneedammo) || (_supstatus != "")) then + { + If (_supstatus == "SUPRESSED") then + { + If (_dist < 300) then + { + If (_haslos) then + { + _grp setvariable ["UPSMON_Grpmission","SURRENDER"]; + _grpstatus = "BLUE"; + }; + }; + }; + }; + }; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Isgrpstuck.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Isgrpstuck.sqf new file mode 100644 index 0000000000000000000000000000000000000000..0d00caafcd7777b03e0c5c6d0f335379fb956731 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Isgrpstuck.sqf @@ -0,0 +1,73 @@ +/**************************************************************** +File: UPSMON_Isgrpstuck.sqf +Author: Azroul13 + +Description: + Check if the group is stuck +Parameter(s): + +Returns: + boolean +****************************************************************/ + +private ["_npc","_lastcurrpos","_currpos","_grp","_stuck","_rstuckControl"]; + +_npc = _this select 0; +_lastcurrpos = _this select 1; +_currpos = _this select 2; +_grp = group _npc; +_stuck = false; + +//Stuck control +If (alive _npc) then +{ + If (canmove _npc) then + { + If (!((vehicle _npc) iskindof "air")) then + { + If (_grp getvariable ["UPSMON_NOWP",0] == 0) then + { + If (_lastcurrpos select 0 == _currpos select 0 && _lastcurrpos select 1 == _currpos select 1) then + { + //time > _grp getvariable ["UPSMON_TIMEONTARGET",time] + If (_grp getvariable ["UPSMON_Grpmission",""] != "DEFEND") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "FORTIFY") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "AMBUSH") then + { + If (!(_npc getvariable ["UPSMON_searchingpos",false])) then + { + If (!(_grp getVariable ["UPSMON_movetolanding",false])) then + { + If (!(_grp getvariable ["UPSMON_embarking",false])) then + { + If (!((vehicle _npc) getvariable ["UPSMON_disembarking",false])) then + { + _rstuckControl = (_grp getvariable ["UPSMON_RSTUCKCONTROL",0]) + 1; + _grp setvariable ["UPSMON_RSTUCKCONTROL",_rstuckControl]; + + If (_rstuckControl >= 10) then + { + //[_npc] call UPSMON_cancelstop; + //{if (alive _x && leader _x != _x) then {_x dofollow (leader _x)};} foreach units _grp; + _grp setvariable ["UPSMON_RSTUCKCONTROL",0]; + _stuck = true; + + if (UPSMON_Debug>0) then {player sidechat format["%1 stucked, moving",_grp getvariable ["UPSMON_Grpid",0]]}; + if (UPSMON_Debug>0) then {diag_log format["%1 stuck for %2 seconds - trying to move again",_grp getvariable ["UPSMON_Grpid",0]]}; + }; + }; + }; + }; + }; + }; + }; + }; + }; + }; + }; + }; +}; + +_stuck \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_SetLeaderGrp.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_SetLeaderGrp.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a299b4f769737f36ef0fb73483d2d0c49fc19fd0 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_SetLeaderGrp.sqf @@ -0,0 +1,39 @@ +/**************************************************************** +File: UPSMON_SetLeaderGrp.sqf +Author: Azroul13 + +Description: + Set the leader of the group +Parameter(s): + <--- Unit or Group +Returns: + ---> Leader +****************************************************************/ + +private ["_unit","_Leader", "_grp"]; + +_unit = _this select 0; +_grp = group _unit; +_Leader = leader (_grp); + +if ((_unit iskindof "Man")) then { + + if(_unit != _Leader) then { + _grp selectLeader _unit; + }; + +} else { + + if (!isnull(commander _unit) ) then { + _unit = commander _unit; + }else{ + if (!isnull(driver _unit) ) then { + _unit = driver _unit; + }else{ + _unit = gunner _unit; + }; + }; + _grp selectLeader _unit; +}; + +_Leader \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Supressfire.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Supressfire.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a41b2a65b98ac2eb4e4d7827f1b52a571e56413e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_Supressfire.sqf @@ -0,0 +1,56 @@ +private ["_units","_targetpos","_timeout","_delete","_unit","_target","_Pos","_direction"]; + +_units = _this select 0; +_targetpos = _this select 1; + +_timeout = time + 15; +while {_timeout > time && {alive _x} count _units > 0} do +{ + { + _delete = false; + If (alive _x) then + { + _unit = _x; + _target = _targetpos; + If (typename _targetpos == "ARRAY") then + { + _Pos = [_targetpos,[0,20],[0,360],0,[0,100],0] call UPSMON_pos; + _target = createVehicle ["UserTexture1m_F",[_Pos select 0,_Pos select 1,1], [], 0, "NONE"]; + _delete = true; + }; + + If ([_unit,_target,300,130] call UPSMON_Haslos) then + { + [_unit,_target,100] call UPSMON_DOwatch; + sleep 1; + _direction = [_unit, _target] call BIS_fnc_dirTo; + _unit setDir _direction; + _weapon = primaryweapon _unit; + _mode = getArray (configFile >> "cfgweapons" >> _weapon >> "modes"); + _firemode = "SINGLE"; + If (random 100 < 60) then + { + If ("fullauto_medium" in _mode) then {_firemode = "fullauto_medium";}; + If ("short" in _mode) then {_firemode = "short";}; + }; + if ((_mode select 0) == "this") then {_mode = _weapon}; + If (needReload _unit == 1) then {reload _unit}; + _unit selectWeapon (primaryweapon _unit); + _unit forceWeaponFire [ weaponState _unit select 1,_firemode]; + [_unit] spawn + { + sleep 5; + (_this select 0) doTarget ObjNull; + (_this select 0) dofire ObjNull; + (_this select 0) doWatch ObjNull; + }; + }; + + if (_delete) then + { + [_target] spawn {sleep 5; Deletevehicle (_this select 0)}; + }; + }; + } foreach _units; + sleep ((random 0.4) +0.4); +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_analysegrp.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_analysegrp.sqf new file mode 100644 index 0000000000000000000000000000000000000000..8b0944bf084dd2343426e7edca061761f3be5756 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_analysegrp.sqf @@ -0,0 +1,447 @@ +/**************************************************************** +File: UPSMON_analysegrp.sqf +Author: Azroul13 + +Description: + get all information about the group +Parameter(s): + <--- Group +Returns: + ----> type of the group (array) ["arti","infantry","incargo","tank","transport","armed","apc","car","ship","static","staticbag"] + ----> Capacity of the group (array) ["aa1","aa2","at1","at2","at3"] [AAcapability but without missile,AA missile,At Rocket,At missile,At gun] + ----> Assigned vehicles (array) +****************************************************************/ + +private ["_grp","_assignedvehicles","_typeofgrp","_capacityofgrp","_result","_vehicleClass","_MagazinesUnit","_Cargo","_gunner","_ammo","_irlock","_laserlock","_airlock","_checkbag","_staticteam","_points","_vehicle"]; +_grp = _this select 0; + +_assignedvehicles = []; +_typeofgrp = []; +_capacityofgrp = []; +_engagementrange = 600; +_result = []; +_points = 0; + +if (({alive _x} count units _grp) == 0) exitwith {_result = [_typeofgrp,_capacityofgrp,_assignedvehicles,_engagementrange];_result;}; + +_artibatteryarray = []; + +{ + If (alive _x) then + { + if ((vehicle _x) != _x && !(Isnull assignedVehicle _x) && !(_x in (assignedCargo assignedVehicle _x))) then + { + if (!((assignedVehicle _x) in _assignedvehicles)) then + { + _vehicle = assignedVehicle _x; + _assignedvehicles pushback _vehicle; + _MagazinesUnit = (magazines _vehicle); + _Cargo = getNumber (configFile >> "CfgVehicles" >> typeof _vehicle >> "transportSoldier"); + _armor = getNumber (configFile >> "CfgVehicles" >> typeof _vehicle >> "armor"); + _support = tolower gettext (configFile >> "CfgVehicles" >> typeof _vehicle >> "vehicleClass"); + _cfgArtillery = getnumber (configFile >> "cfgVehicles" >> typeOf (_vehicle) >> "artilleryScanner"); + _repair = getnumber (configFile >> "cfgVehicles" >> typeOf (_vehicle) >> "transportRepair"); + _fuel = getnumber (configFile >> "cfgVehicles" >> typeOf (_vehicle) >> "transportFuel"); + _munsupply = getnumber (configFile >> "cfgVehicles" >> typeOf (_vehicle) >> "attendant"); + + _gunner = gunner _vehicle; + _ammorated = []; + + _points = _points + 1; + + If (!IsNull _gunner) then + { + If (alive _gunner) then + { + { + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _x >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + _hit = getNumber (configfile >> "CfgAmmo" >> _ammo >> "hit"); + + if (_airlock == 1) then + { + if (_ammo iskindof "BulletBase") then + { + If (!("aa1" in _capacityofgrp)) then + { + _capacityofgrp pushback "aa1"; + }; + }; + }; + + if (_airlock == 2) then + { + if (!(_ammo iskindof "BulletBase")) then + { + If (!("aa2" in _capacityofgrp)) then + { + _capacityofgrp pushback "aa2"; + }; + }; + }; + + if (_irlock>0 || _laserlock>0) then + { + if (_ammo iskindof "MissileBase") then + { + If (!("at2" in _capacityofgrp)) then + { + _capacityofgrp pushback "at2"; + }; + }; + }; + + if (_ammo iskindof "ShellBase") then + { + if (!("arti" in _typeofgrp)) then + { + If (!("at3" in _capacityofgrp)) then + { + _capacityofgrp pushback "at3"; + }; + }; + }; + + if (_ammo iskindof "BulletBase") then + { + if (_hit >= 40) then + { + If (!("at1" in _capacityofgrp)) then + { + _capacityofgrp pushback "at1"; + }; + }; + }; + + If (!(_ammo in _ammorated)) then + { + _points = _points + _hit; + _ammorated pushback _ammo; + }; + + } foreach _MagazinesUnit; + }; + }; + + _points = _points + _armor; + + If (_vehicle iskindof "car") then + { + If (!("car" in _typeofgrp)) then + { + _typeofgrp pushback "car"; + }; + + If (_armor >= 500) then + { + If (!("heavy" in _typeofgrp)) then + { + _typeofgrp pushback "heavy"; + }; + }; + + If (_armor >= 250 && _armor < 500) then + { + If (!("medium" in _typeofgrp)) then + { + _typeofgrp pushback "medium"; + }; + }; + + If (_armor < 250) then + { + If (!("light" in _typeofgrp)) then + { + _typeofgrp pushback "light"; + }; + }; + }; + + If (_vehicle iskindof "staticweapon") then + { + If (!("static" in _typeofgrp)) then + { + _typeofgrp pushback "static"; + }; + }; + + If (_vehicle iskindof "air") then + { + If (!("air" in _typeofgrp)) then + { + _typeofgrp pushback "air"; + }; + }; + + If (_vehicle iskindof "PLANE") then + { + If ("aa2" in _capacityofgrp || "aa1" in _capacityofgrp || "at1" in _capacityofgrp || "at2" in _capacityofgrp) then + { + If (!("plane" in _typeofgrp)) then + { + _typeofgrp pushback "plane"; + }; + }; + }; + + If (_vehicle iskindof "Ship") then + { + If (!("Ship" in _typeofgrp)) then + { + _typeofgrp pushback "Ship"; + }; + }; + + If (_cargo >= 6) then + { + If (!("transport" in _typeofgrp)) then + { + _typeofgrp pushback "transport"; + }; + }; + + If (!IsNull (Gunner _vehicle)) then + { + If (!("armed" in _capacityofgrp)) then + { + _capacityofgrp pushback "armed"; + _engagementrange = 1000; + }; + }; + + If (_cfgArtillery == 1) then + { + If (!(_vehicle in _artibatteryarray)) then + { + _artibatteryarray pushback _vehicle; + _grp setvariable ["UPSMON_Battery",_artibatteryarray]; + }; + + If (!("arti" in _typeofgrp)) then + { + _typeofgrp pushback "arti"; + }; + }; + + If (_support == "Support") then + { + If (!("supply" in _typeofgrp)) then + { + _typeofgrp pushback "supply"; + }; + + If (_repair > 0) then + { + if (!("repair" in _capacityofgrp)) then + { + _capacityofgrp pushback "repair"; + }; + }; + + If (_fuel > 0) then + { + if (!("fuel" in _capacityofgrp)) then + { + _capacityofgrp pushback "fuel"; + }; + }; + + If (_munsupply > 0) then + { + if (!("ammo" in _capacityofgrp)) then + { + _capacityofgrp pushback "ammo"; + }; + }; + + If (!("support" in _typeofgrp)) then + { + _typeofgrp pushback "support"; + }; + }; + + if (_vehicle iskindof "tank" && !("tank" in _typeofgrp)) then + {_typeofgrp pushback "tank";}; + if (_vehicle iskindof "Wheeled_APC_F" && !("apc" in _typeofgrp)) then + {_typeofgrp pushback "apc";}; + + }; + } + else + { + If (vehicle _x != _x) then + { + If (!((assignedVehicle _x) in _assignedvehicles)) then + { + _assignedvehicles pushback (assignedVehicle _x); + } + }; + + _sweapon = secondaryWeapon _x; + _MagazinesUnit=(magazines _x); + _smagazineclass = []; + If (_sweapon != "") then + { + _smagazineclass = getArray (configFile >> "CfgWeapons" >> _sweapon >> "magazines"); + }; + _ammorated = []; + + _points = _points + 1; + + { + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _x >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + _hit = getNumber (configfile >> "CfgAmmo" >> _ammo >> "hit"); + + If (_airlock==2) then + { + if (!(_ammo iskindof "BulletBase")) then + { + If (_ammo in _smagazineclass) then + { + If (!("aa2" in _capacityofgrp)) then + { + _capacityofgrp pushback "aa2"; + }; + }; + }; + }; + + If (_irlock>0 || _laserlock>0) then + { + if ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) then + { + If (_ammo in _smagazineclass) then + { + If (!("at2" in _capacityofgrp)) then + { + _capacityofgrp pushback "at2"; + }; + }; + }; + }; + + If (_irlock==0 || _laserlock==0) then + { + if ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) then + { + If (_ammo in _smagazineclass) then + { + If (!("at1" in _capacityofgrp)) then + { + _capacityofgrp pushback "at1"; + }; + }; + }; + }; + + If (_ammo iskindof "ShellBase" || (_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase") && !(_ammo in _ammorated) && (_ammo in _smagazineclass)) then + { + _points = _points + _hit; + _ammorated pushback _ammo; + }; + } foreach _MagazinesUnit; + + if (!("infantry" in _typeofgrp)) then + {_typeofgrp pushback "infantry";}; + }; + _points = _points + ((1+(morale _x)) + (1-(damage _x)) + ((_x skillFinal "Endurance") + (_x skillFinal "courage"))); + }; + +} foreach units _grp; + +_checkbag = [_grp] call UPSMON_GetStaticTeam; +_staticteam = _checkbag select 0; +If (count _staticteam == 2) then +{ + _cfgArtillery = getnumber (configFile >> "cfgVehicles" >> (_checkbag select 1) >> "artilleryScanner"); + + _capacityofgrp pushback ["staticbag"]; + _engagementrange = 1000; + + If (_cfgArtillery == 1) then + { + If (!("arti" in _typeofgrp)) then + { + _typeofgrp pushback "arti"; + }; + + If (!((_staticteam select 0) in _artibatteryarray)) then + { + _artibatteryarray pushback _staticteam; + _grp setvariable ["UPSMON_Battery",_artibatteryarray]; + }; + + If (count (_grp getvariable ["UPSMON_Mortarmun",[]]) == 0) then + { + _rounds = [_checkbag select 1] call UPSMON_GetDefaultmun; + _grp setvariable ["UPSMON_Mortarmun",_rounds]; + }; + }; +}; + +[_grp,_typeofgrp] call UPSMON_AddtoArray; + +_points = _points; + +{ + If (!IsNull _x) then + { + If ((_renfgroup getvariable ["UPSMON_GrpToRenf",ObjNull]) == _grp) then + { + If (({alive _x && !(captive _x)} count units _x) > 0) then + { + _points = _points + (_x getvariable ["UPSMON_Grpratio",0]); + }; + }; + }; +} foreach (_grp getvariable ["UPSMON_RenfGrps",[]]); + +_grp setvariable ["UPSMON_Grpratio",_points]; +_grp setvariable ["UPSMON_GroupCapacity",_capacityofgrp]; +_grp setvariable ["UPSMON_typeofgrp",_typeofgrp]; +_grp setvariable ["UPSMON_Assignedvehicle",_assignedvehicles]; + +If (count _assignedvehicles > 0) then +{ + _array = []; + + { + If (canmove _x) then + { + If (driver _x in units _grp) then + { + _array pushback _x; + }; + }; + } foreach _assignedvehicles; + _grp setvariable ["UPSMON_LastAssignedvehicle",_array]; +}; + +If (count (_grp getvariable ["UPSMON_LastAssignedvehicle",_assignedvehicles]) > 0) then +{ + _array = []; + + { + If (!IsNull _x) then + { + If (canmove _x) then + { + If (driver _x in units _grp) then + { + _array pushback _x; + }; + }; + }; + } foreach _assignedvehicles; + _grp setvariable ["UPSMON_LastAssignedvehicle",_array]; +}; + +//if (UPSMON_Debug>0) then {diag_log format ["Grpcompos/ typeofgrp:%1 Capacity:%2 Assignedvehicles:%3 range:%4 Points:%5",_typeofgrp,_capacityofgrp,_assignedvehicles,_engagementrange,_points];}; + +_result = [_typeofgrp,_capacityofgrp,_assignedvehicles,_engagementrange]; +_result; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkallied.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkallied.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bd036636815c4f3d5306196ecbf7e701461a3461 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkallied.sqf @@ -0,0 +1,37 @@ +/**************************************************************** +File: UPSMON_checkallied.sqf +Author: Azroul13 + +Description: + Are they any allied near the group + Use for Surrending condition +Parameter(s): + <--- leader + <--- Searching radius + <--- Unit Side +Returns: + Array [[Eni units],[Allied Units]] +****************************************************************/ + +private ["_npc","_mennear","_result","_radius"]; + +_npc = _this select 0; +_radius = _this select 1; +_side = side _npc; + +_mennear = _npc nearTargets 180; +_result = false; +_allied = []; +_eny = []; +_enemySides = _npc call BIS_fnc_enemySides; + +{ + _unit = _x select 4; + _unitside = _x select 2; + If ((alive _unit) && (_unitside == _side) && !(_unit in (units _npc)) && !(captive _unit)) then {_allied = _allied + [_x];}; + If ((alive _unit) && (_unitside in _enemySides) && _npc knowsabout _unit >= UPSMON_knowsAboutEnemy) then {_eny = _eny + [_x];} +} foreach _mennear; + + +_result = [_allied,_eny]; +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkmunition.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkmunition.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d586521822bbd6beeffa7a3f8b482c0718f667b6 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checkmunition.sqf @@ -0,0 +1,79 @@ +/**************************************************************** +File: UPSMON_checkmunition.sqf +Author: Azroul13 + +Description: + Check if unit in the group is out of munition +Parameter(s): + <--- leader +Returns: + Array of units who needs ammo +****************************************************************/ + +private ["_npc","_units","_result","_unit","_weapon","_magazineclass","_magazines","_weapon","_sweapon","_mags","_magazinescount","_smagazineclass"]; + +_npc = _this select 0; +_units = units _npc; +_result = []; +_minmag = 2; + +{ + If (!IsNull _x) then + { + If (alive _x) then + { + If (vehicle _x == _x) then + { + _unit = _x; + _magsneeded = [[],[]]; + _weapon = primaryWeapon _unit; + _sweapon = secondaryWeapon _unit; + _magazineclass = getArray (configFile / "CfgWeapons" / _weapon / "magazines"); + _smagazineclass = []; + If (_sweapon != "") then {_smagazineclass = getArray (configFile / "CfgWeapons" / _sweapon / "magazines");}; + _mags = magazinesAmmoFull _unit; + + If (count _smagazineclass > 0) then + { + _magazinescount = {(_x select 0) in _smagazineclass} count _mags; + _arr = []; + {_arr pushback _x} foreach _smagazineclass; + _magsneeded set [0,_arr]; + If (_magazinescount == 0) then + { + If (!(_unit in _result)) then + { + _result pushback _unit; + }; + }; + }; + + If (count _magazineclass > 0) then + { + _magazinescount = {(_x select 0) in _magazineclass} count _mags; + _arr = []; + {_arr pushback _x} foreach _magazineclass; + _magsneeded set [1,_arr]; + If (_magazinescount <= 2) then + { + If (!(_unit in _result)) then + { + _result pushback _unit; + }; + }; + }; + + If (_unit in _result) then + { + if (UPSMON_AllowRearm) then + { + [_unit,_magsneeded] spawn UPSMON_Rearm; + }; + }; + }; + }; + }; + +} foreach _units; + +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checksizetargetgrp.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checksizetargetgrp.sqf new file mode 100644 index 0000000000000000000000000000000000000000..79efe819f3f11cc1e9e76c26b6c6b015f722533b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_checksizetargetgrp.sqf @@ -0,0 +1,34 @@ +/**************************************************************** +File: UPSMON_checksizetargetgrp.sqf +Author: Azroul13 + +Description: + Check how many suplementary targets are near the revealed target + Use for Artillery fire condition: if (count([_attackpos,50,EAST] call UPSMON_checksizetargetgrp) >= 4) then {_artillery=true} +Parameter(s): + <--- unit + <--- Searching radius + <--- Unit Side +Returns: + Array of units +****************************************************************/ + +private ["_mennear","_result","_pos","_radius"]; + +_pos = _this select 0; +_radius = _this select 1; +_side = _this select 2; + +_mennear = _pos nearentities [["CAManBase"],_radius]; +_enemySides = _side call BIS_fnc_enemySides; +_result = false; +_allied = []; +_eny = []; + +{ + If ((side _x in _enemySides) && _npc knowsabout _x >= UPSMON_knowsAboutEnemy) then {_eny = _eny + [_x];} +} foreach _mennear; + + +_result = [_eny]; +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_composeteam.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_composeteam.sqf new file mode 100644 index 0000000000000000000000000000000000000000..16031081178cb84afbb8430855194f911284ff77 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_composeteam.sqf @@ -0,0 +1,173 @@ +/**************************************************************** +File: UPSMON_composeteam.sqf +Author: Azroul13 + +Description: + Each units of the group is assigned to a team +Parameter(s): + <--- group +Returns: + ----> Support Team (array of units) + ----> Assault Team (array of units) + ----> ATteam (array of units) + ----> AAteam (array of units) +****************************************************************/ +private ["_grp","_units","_Assltteam","_Supportteam","_Atteam","_result","_units","_at","_unit","_weapon","_sweapon","_typeweapon"]; + +_grp = _this select 0; + +_Assltteam = []; +_Supportteam = []; +_Atteam = []; +_AAteam = []; +_snpteam = []; +_mgteam = []; +_result = []; + +if (({alive _x} count units _grp) == 0) exitwith {_result = [];_result;}; + +// add leader and people to team 1 +_Supportteam pushback (vehicle (leader _grp)); +_unitsleft = units _grp; +_unitsleft = _unitsleft - [leader _grp]; +_unitsinvalid = []; +_vehiclesnbr = 0; + +//Add vehicles with gunner in the support team +{ + If (alive _x) then + { + If (vehicle _x != _x) then + { + If (!(_x in (assignedCargo assignedVehicle _x))) then + { + If (!IsNull (gunner vehicle _x)) then + { + If (!(vehicle _x in _Supportteam)) then + { + _Supportteam pushback (vehicle _x); + _vehiclesnbr = _vehiclesnbr + 1; + }; + + _unitsinvalid pushback _x; + }; + }; + }; + } + else + { + _unitsinvalid pushback _x; + }; +} foreach _unitsleft; + +_unitsleft = _unitsleft - _Supportteam; +_unitsleft = _unitsleft - _unitsinvalid; + + +{ + If (alive _x) then + { + If (canmove _x) then + { + If (_x == vehicle _x) then + { + _weapon = currentweapon _x; + _sweapon = secondaryWeapon _x; + _typeweapon = tolower gettext (configFile / "CfgWeapons" / _weapon / "cursor"); + if (_sweapon != "") then + { + _smagazineclass = (getArray (configFile / "CfgWeapons" / _sweapon / "magazines")) select 0; + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _smagazineclass >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + + if (_airlock==2 && !(_ammo iskindof "BulletBase") && !(_x in _AAteam)) then + {_AAteam pushback _x}; + if ((_irlock==0 || _laserlock==0) && + ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase") || (_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) && !(_x in _ATteam)) then + {_Atteam pushback _x}; + }; + + if (!(_x in _Supportteam) && (_typeweapon in ["mg","srifle"] || _sweapon != "")) then + { + _Supportteam pushback _x; + If (_typeweapon == "mg") then {_mgteam pushback _x;}; + If (_typeweapon == "srifle") then {_snpteam pushback _x;}; + }; + }; + } + else + { + _unitsinvalid pushback _x; + }; + } + else + { + _unitsinvalid pushback _x; + }; +} foreach _unitsleft; + +//Add the rest to the Assltteam + +_unitsleft = _unitsleft - _unitsinvalid; +_Assltteam = _unitsleft - _Supportteam; + + +If ({alive _x && vehicle _x == _x} count units _grp <= 4) then +{ + If (_vehiclesnbr == 0) then + { + _Assltteam = units _grp; + } + else + { + if (count _Assltteam <= 1 && count _Supportteam > 1) then + { + _arr2 = _Supportteam; + + { + If (_x != vehicle (leader _grp)) then + { + If (count _arr2 > count _Assltteam) then + { + _Assltteam pushback _x; + _arr2 = _arr2 - [_x]; + }; + }; + } foreach _Supportteam; + + _Supportteam = _arr2; + }; + }; +} +else +{ + if (count _Assltteam <= 1 && count _Supportteam > 4) then + { + _arr2 = _Supportteam; + { + If (_x != vehicle (leader _grp)) then + { + If (vehicle _x == _x) then + { + If (count _arr2 > count _Assltteam) then + { + _Assltteam pushback _x; + _arr2 = _arr2 - [_x]; + }; + }; + }; + } foreach _Supportteam; + + _Supportteam = _arr2; + }; +}; + + + +{_x assignTeam "RED"} foreach _Assltteam; +{_x assignTeam "BLUE"} foreach _Supportteam; + +_result = [_Supportteam,_Assltteam,_Atteam,_AAteam]; +_result; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getNearestSoldier.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getNearestSoldier.sqf new file mode 100644 index 0000000000000000000000000000000000000000..70ab7da5b1eacb4b3f64f0f29325db9f4554054c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getNearestSoldier.sqf @@ -0,0 +1,22 @@ +/**************************************************************** +File: UPSMON_getNearestSoldier.sqf +Author: Monsada + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private["_units","_position","_near"]; + +_position = _this select 0; +_units = _this select 1; + +_near = [_units, [], {_position distance _x}, "ASCEND"] call BIS_fnc_sortBy;; +_near = _near select 0; + + +_near \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getleader.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getleader.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c97cd7d706b4248f034787e53f13ad91fb239aa9 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getleader.sqf @@ -0,0 +1,112 @@ +/**************************************************************** +File: UPSMON_getleader.sqf +Author: Monsada + +Description: + Check if leader is alive and if not search for a replacement in the group +Parameter(s): + <--- leader + <--- group +Returns: + leader +****************************************************************/ + +private ["_npc","_grp","_members","_list"]; + +_npc = _this select 0; +_grp = _this select 1; +_members = units _grp; + +//sleep 0.05; +if (!alive _npc) then +{ + + //soldier not in vehicle takes the lead or not in tank vehicle + _list = []; + { + if (alive _x) then + { + If (!isPlayer _x) then + { + if (canmove _x) then + { + _points = 0; + If (_x == vehicle _x) then + { + switch (rank _x) do + { + case "CORPORAL": + { + _points = _points + 20; + }; + case "SERGEANT": + { + _points = _points + 30; + }; + case "LIEUTENANT": + { + _points = _points + 40; + }; + case "MAJOR": + { + _points = _points + 50; + }; + case "COLONEL": + { + _points = _points + 60; + }; + case "PRIVATE": + { + _points = _points + 10; + }; + }; + } + else + { + If (vehicle _x iskindof "TANK" || vehicle _x iskindof "Wheeled_APC") then + { + If ((assignedVehicleRole _x) select 0 == "Commander") then + { + _points = _points + 80; + }; + + If ((assignedVehicleRole _x) select 0 == "Gunner") then + { + _points = _points + 40; + }; + }; + }; + + _list pushback [_x,_points]; + }; + }; + }; + } foreach _members; + + If (count _list > 0) then + { + _list = [_list, [], {(_x select 1)}, "DESCEND"] call BIS_fnc_sortBy; + _npc = (_list select 0) select 0; + }; + //if no soldier out of vehicle takes any + if (!alive _npc ) then + { + { + if (alive _x && canmove _x) exitwith {_npc = _x;}; + } foreach _members; + }; + + //If not alive or already leader or is player exits + { + { + if (alive _x && !isPlayer _x) exitwith {_npc = [_npc,_grp] call UPSMON_getleader;}; + } foreach _members; + }; + + if (leader _grp == _npc) exitwith {_npc}; + + //Set new _npc as leader + _grp selectLeader _npc; +}; + +_npc // return \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getunits.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getunits.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e660cb6f6cfb00b5d0ad8233a6b1c2a95e6467d7 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_getunits.sqf @@ -0,0 +1,41 @@ +/**************************************************************** +File: UPSMON_getunits.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Array of units +Returns: + Array of units +****************************************************************/ + +private ["_units","_validunits"]; + +_units = _this select 0; + +_validunits = []; + +{ + if (alive _x) then + { + If (vehicle _x == _x) then + { + If (_x getvariable ["UPSMON_Supstatus",""] != "SUPRESSED") then + { + If (canmove _x) then + { + If (canstand _x) then + { + If (!([_x] call UPSMON_Inbuilding)) then + { + _validunits pushback _x; + }; + }; + }; + }; + }; + }; +}foreach _units; + +_validunits \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_grptype.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_grptype.sqf new file mode 100644 index 0000000000000000000000000000000000000000..11f32a0440f1f0b0b4bd8cfc00e34bdd4ff18e97 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_grptype.sqf @@ -0,0 +1,23 @@ +/**************************************************************** +File: UPSMON_grptype.sqf +Author: Azroul13 + +Description: + get the type of the group +Parameter(s): + <--- leader +Returns: + ----> Group type ("Isman"/"Iscar"/"IsAir"/"Isboat"/"Isdiver") +****************************************************************/ +private []; + +_npc = _this select 0; +_type = ""; + +If ("LandVehicle" countType [vehicle _npc]>0) then {_type = "Iscar"}; +If ("Ship" countType [vehicle _npc]>0) then {_type = "Isboat"}; +If ("Air" countType [vehicle _npc]>0) then {_type = "IsAir"}; +If (["diver", (typeOf (leader _npc))] call BIS_fnc_inString) then {_type = "Isdiver"}; +If (_type == "") then {_type = "Isman"}; + +_type \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_supstatestatus.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_supstatestatus.sqf new file mode 100644 index 0000000000000000000000000000000000000000..fd3505d939dd44877459deeca1f09354a6c9909e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Group/fnc/UPSMON_supstatestatus.sqf @@ -0,0 +1,99 @@ +/**************************************************************** +File: UPSMON_supstatestatus.sqf +Author: Azroul13 + +Description: + Check if the group is under fire + Activated only when TPWCAS script is present +Parameter(s): + <--- unit +Returns: + Boolean +****************************************************************/ + //Check if the group is under fire +private ["_grp","_supstatus","_unitsnbr","_tpwcas_running","_statuslist"]; + +_grp = _this select 0; +_supstatus = ""; + +_unitsnbr = count (units _grp); +_tpwcas_running = if (!isNil "tpwcas_running") then {true} else {false}; +_statuslist = []; +{ + If (alive _x) then + { + _x setvariable ["UPSMON_SUPSTATUS",""]; + If (_x in UPSMON_GOTHIT_ARRAY) then + { + UPSMON_GOTHIT_ARRAY = UPSMON_GOTHIT_ARRAY - [_x]; + If (damage _x < 0.3) then + { + _statuslist pushback "hit"; + } + else + { + _statuslist pushback "wounded"; + }; + + _x setvariable ["UPSMON_SUPSTATUS","UNDERFIRE"]; + }; + + if (_tpwcas_running) then + { + If (_x getvariable "tpwcas_supstate" == 3) then + { + _statuslist pushback "supressed"; + _x setvariable ["UPSMON_SUPSTATUS","SUPRESSED"]; + }; + If (_x getvariable "tpwcas_supstate" == 2) then + { + _statuslist pushback "hit"; + _x setvariable ["UPSMON_SUPSTATUS","UNDERFIRE"]; + }; + }; + + If (isNil "bdetect_enable") then + { + If (_x getVariable ["bcombat_suppression_level", 0] >= 20 && _x getVariable ["bcombat_suppression_level", 0] < 75) then + { + _statuslist pushback "hit"; + _x setvariable ["UPSMON_SUPSTATUS","UNDERFIRE"]; + }; + If (_x getVariable ["bcombat_suppression_level", 0] >= 75) then + { + _statuslist pushback "supressed"; + _x setvariable ["UPSMON_SUPSTATUS","SUPRESSED"]; + }; + }; + } + else + { + if (_x in UPSMON_GOTKILL_ARRAY) then + { + UPSMON_GOTKILL_ARRAY = UPSMON_GOTKILL_ARRAY - [_x]; + _statuslist pushback "dead"; + }; + }; +} foreach units _grp; + +If ({_x == "supressed" || _x == "wounded" || _x == "dead"} count _statuslist >= _unitsnbr) then +{ + If ({_x == "supressed"} count _statuslist < {_x == "wounded" || _x == "dead"} count _statuslist) then + { + _supstatus = "INCAPACITED" + } + else + { + _supstatus = "SUPRESSED" + }; +}; + +If (_supstatus == "") then +{ + If ("hit" in _statuslist || "wounded" in _statuslist || "dead" in _statuslist || "supressed" in _statuslist) then + { + _supstatus = "UNDERFIRE" + }; +}; + +_supstatus \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleInit.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleInit.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9c66a24c87242aba1e18dd90a722df9b7e6c1160 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleInit.sqf @@ -0,0 +1,26 @@ +/**************************************************************** +File: UPSMON_GetIn_NearestCombat.sqf +Author: Ollem + +Description: + Replacement of "setvehicleinit" command. Add init line to a spawned AI. +Parameter(s): + <--- netid object + <--- unit init +Returns: + Nothing +****************************************************************/ + + +private ["_netID","_unit","_unitinit"]; + +_netID = _this select 0; +_unit = objectFromNetID _netID; +_unitinit = _this select 1; +_unitstr = "_unit"; + +_index=[_unitinit,"this",_unitstr] call UPSMON_Replace; + +call compile format ["%1",_index]; + +if (UPSMON_Debug>0) then { diag_log format ["UPSMON 'UPSMON_fnc_setVehicleInit': %1 %2 %3",_unitinit,_index,_unit]; }; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleVarName.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleVarName.sqf new file mode 100644 index 0000000000000000000000000000000000000000..dbe57bc65410be577ccbf20766f1c880c0818b99 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/fnc/UPSMON_fnc_setVehicleVarName.sqf @@ -0,0 +1,23 @@ +/**************************************************************** +File: UPSMON_fnc_setVehicleVarName.sqf +Author: Ollem + +Description: + Replacement of "setvehicleinit" command. +Parameter(s): + <--- netid object + <--- unit name +Returns: + Nothing +****************************************************************/ + +private ["_netID","_unit","_unitname"]; + +_netID = _this select 0; +_unit = objectFromNetID _netID; +_unitname = _this select 1; + +_unit setVehicleVarName _unitname; +_unit call compile format ["%1=_This; PublicVariable ""%1""",_unitname]; + +if (UPSMON_Debug>0) then { diag_log format ["UPSMON 'UPSMON_fnc_setVehicleVarName': %1=_This; PublicVariable ""%1""",_unitname]; }; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..7a815ad348cf3963357cc13e3acd899ed6fc2aed --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/MP/init.sqf @@ -0,0 +1,3 @@ + +UPSMON_fnc_setVehicleInit = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\MP\fnc\UPSMON_fnc_setVehicleInit.sqf"; +UPSMON_fnc_setVehicleVarName = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\MP\fnc\UPSMON_fnc_setVehicleVarName.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..0755d82d5df2f7820ce2ced56997f38be87999b4 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/Init.sqf @@ -0,0 +1,21 @@ + +UPSMON_GetParams = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetParams.sqf"; + +UPSMON_GetGroupbehaviour = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetGroupbehaviour.sqf"; +UPSMON_GetGroupformation = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetGroupformation.sqf"; +UPSMON_GetGroupspeed = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetGroupspeed.sqf"; + +UPSMON_SetEventhandlers = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_SetEventhandlers.sqf"; + +UPSMON_GetRespawndelay = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetRespawndelay.sqf"; +UPSMON_GetRespawnpos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetRespawnpos.sqf"; +UPSMON_GetRespawntime = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_GetRespawntime.sqf"; + +UPSMON_SetClones = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_SetClones.sqf"; +UPSMON_Settemplate = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_Settemplate.sqf"; +UPSMON_SetmarkerArea = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_SetmarkerArea.sqf"; +UPSMON_SetRenfParam = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_SetRenfParam.sqf"; + +UPSMON_NOSMOKE = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_NOSMOKE.sqf"; + +UPSMON_BacktoNormal = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\Params\fnc\UPSMON_BacktoNormal.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_BacktoNormal.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_BacktoNormal.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1b69a17bbe1031d5e4857826492e6bc149a6764d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_BacktoNormal.sqf @@ -0,0 +1,30 @@ +/**************************************************************** +File: UPSMON_BackToNormal.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- group +Returns: + Nothing +****************************************************************/ +private["_npc","_Ucthis","_behaviour"]; + +_grp = _this select 0; + +_grp setvariable ["UPSMON_Grpstatus","GREEN"]; + +If (_grp getvariable ["UPSMON_NOWP",0] > 0) then +{ +// [_grp,((_grp getvariable "UPSMON_Origin") select 0),"MOVE",((_grp getvariable "UPSMON_Origin") select 1),((_grp getvariable "UPSMON_Origin") select 2),((_grp getvariable "UPSMON_Origin") select 3),"YELLOW",1] spawn UPSMON_DocreateWP; + [_grp,((_grp getvariable "UPSMON_Origin") select 0),"MOVE",((_grp getvariable "UPSMON_Origin") select 3),((_grp getvariable "UPSMON_Origin") select 2),((_grp getvariable "UPSMON_Origin") select 1),"YELLOW",1] spawn UPSMON_DocreateWP;//corrected by barbolani +} +else +{ + _grp setbehaviour ((_grp getvariable "UPSMON_Origin") select 1); + _grp setspeedmode ((_grp getvariable "UPSMON_Origin") select 2); + _grp setformation ((_grp getvariable "UPSMON_Origin") select 3); +}; + +_grp setvariable ["UPSMON_Grpmission",_grp getvariable "UPSMON_OrgGrpmission"]; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupbehaviour.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupbehaviour.sqf new file mode 100644 index 0000000000000000000000000000000000000000..03dd9a8beca64d9a09c56781736aab1a51baad4d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupbehaviour.sqf @@ -0,0 +1,29 @@ +/**************************************************************** +File: UPSMON_GetGroupbehaviour.sqf +Author: Azroul13 + +Description: + Get unit behaviour +Parameter(s): + <--- leader + <--- UPSMON parameters +Returns: + ---> behaviour of the group +****************************************************************/ +private["_npc","_Ucthis","_behaviour"]; + +_npc = _this select 0; +_Ucthis = _this select 1; + +_behaviour = Behaviour _npc; + +// set behaviour modes (or not) +if ("CARELESS" in _UCthis) then {_behaviour = "CARELESS"}; +if ("SAFE" in _UCthis) then {_behaviour = "SAFE"}; +if ("AWARE" in _UCthis) then {_behaviour = "AWARE"}; +if ("COMBAT" in _UCthis) then {_behaviour = "COMBAT"}; +if ("STEALTH" in _UCthis) then {_behaviour = "STEALTH"}; + +_behaviour + + diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupformation.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupformation.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e3632413b7b3a8ba0244a22c56705e4c0c3ff000 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupformation.sqf @@ -0,0 +1,28 @@ +/**************************************************************** +File: UPSMON_GetGroupformation.sqf +Author: Azroul13 + +Description: + Get unit behaviour +Parameter(s): + <--- leader + <--- UPSMON parameters +Returns: + ---> formation +****************************************************************/ +private["_npc","_Ucthis","_formation"]; + +_npc = _this select 0; +_Ucthis = _this select 1; + +_formation = Formation _npc; + +// set formation modes (or not) +If ("COLUMN" in _UCthis) then {_formation = "COLUMN";}; +If ("STAG COLUMN" in _UCthis) then {_formation = "STAG COLUMN";}; +If ("WEDGE" in _UCthis) then {_formation = "WEDGE";}; +If ("VEE" in _UCthis) then {_formation = "VEE";}; +If ("LINE" in _UCthis) then {_formation = "LINE";}; +If ("FILE" in _UCthis) then {_formation = "FILE";}; + +_formation diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupspeed.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupspeed.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9c8812245f733c6745db2f741b5faa59a4b104d1 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetGroupspeed.sqf @@ -0,0 +1,26 @@ +/**************************************************************** +File: UPSMON_GetGroupspeed.sqf +Author: Azroul13 + +Description: + Get unit speed mode +Parameter(s): + <--- leader + <--- UPSMON parameters +Returns: + ---> speed mode +****************************************************************/ +private["_npc","_Ucthis","_speed"]; + +_npc = _this select 0; +_Ucthis = _this select 1; + +_speed = Speedmode _npc; + +// set initial speed +_noslow = if ("NOSLOW" in _UCthis) then {"NOSLOW"} else {"SLOW"}; +if ("LIMITED" in _UCthis) then {_speed = "LIMITED"}; +if ("NORMAL" in _UCthis) then {_speed = "NORMAL"}; +if ("FULL" in _UCthis || _noslow == "NOSLOW") then {_speed = "FULL"}; + +_speed diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetParams.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetParams.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6758140bc91372838cee456ea4008e7337c20fa6 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_GetParams.sqf @@ -0,0 +1,25 @@ +/**************************************************************** +File: UPSMON_GetParams.sqf +Author: Azroul13 + +Description: + Convert argument list to uppercase +Parameter(s): + <--- Parameters +Returns: + ---> Parameters +****************************************************************/ + +private["_Params","_UCthis","_i","_e"]; + +_Params = _this select 0; +_UCthis = []; + +for [{_i=0},{_i UPSMON_USE_SMOKE) then +{ + If (_grp getvariable ["UPSMON_SmokeTime",0] < time) then + { + If (!(_grp getvariable ["UPSMON_NOSMOKE",false])) then + { + _nosmoke = false; + }; + }; +}; + +_nosmoke diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetClones.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetClones.sqf new file mode 100644 index 0000000000000000000000000000000000000000..2ef4610d2df80237bc6c979d7c2414485f71c750 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetClones.sqf @@ -0,0 +1,27 @@ +/**************************************************************** +File: UPSMON_SetClones.sqf +Author: Azroul + +Description: + +Parameter(s): + <--- Parameters of UPSMON +Returns: + nothing +****************************************************************/ +private ["_Ucthis","_mincopies","_maxcopies","_membertypes"]; + +_Ucthis = _this select 0; +_membertypes = _this select 1; + +_mincopies = ["MIN:",0,_UCthis] call UPSMON_getArg; +_maxcopies = ["MAX:",0,_UCthis] call UPSMON_getArg; +if (_mincopies>_maxcopies) then {_maxcopies=_mincopies}; +if (_maxcopies>140) exitWith {hint "Cannot create more than 140 groups!"}; + +if (_maxcopies>0) then +{ + _Ucthis = ["MIN:",0,_UCthis] call UPSMON_setArg; + _Ucthis = ["MAX:",0,_Ucthis] call UPSMON_setArg; + [_Ucthis,_mincopies,_maxcopies,_membertypes] call UPSMON_Clones; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetEventhandlers.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetEventhandlers.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f5c5ca7e68f56689f688ab04a14998c85709756d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetEventhandlers.sqf @@ -0,0 +1,51 @@ +/**************************************************************** +File: UPSMON_SetEventhandlers.sqf +Author: Azroul13 + +Description: + Convert argument list to uppercase +Parameter(s): + <--- Members of the group + <--- Parameters +Returns: + Nothing +****************************************************************/ + +private["_members","_UCthis","_grpid","_deletedead"]; + +_members = _this select 0; +_UCthis = _this select 1; +_grpid = _this select 2; + +_deletedead = ["DELETE:",0,_UCthis] call UPSMON_getArg; +{ + _x setVariable ["UPSMON_grpid", _grpid, false]; + If (_x != vehicle _x && (vehicle _x) getVariable ["UPSMON_grpid",0] != _grpid) then {(vehicle _x) setVariable ["UPSMON_grpid", _grpid, false];}; + sleep 0.05; + + if (side _x != civilian) then + {//soldiers + _x AddEventHandler ["hit", {nul = _this spawn UPSMON_SN_EHHIT}]; + sleep 0.05; + _x AddEventHandler ["killed", {nul = _this spawn UPSMON_SN_EHKILLED}]; + //_x AddEventHandler ["fired", {nul = _this spawn UPSMON_SN_EHFIRED}]; + } + else + {//civ + if (!isnil "_x") then + { + sleep 0.05; + _x AddEventHandler ["firedNear", {nul = _this spawn UPSMON_SN_EHFIREDNEAR}]; + sleep 0.05; + _x AddEventHandler ["killed", {nul = _this spawn UPSMON_SN_EHKILLEDCIV}]; + sleep 0.05; + }; + }; + + if (_deletedead>0) then + { + _x addEventHandler['killed',format["[_this select 0,%1] spawn UPSMON_deleteDead",_deletedead]]; + sleep 0.01; + }; +} foreach _members; + diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetMarkerArea.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetMarkerArea.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a6d6f0ab2b34fe67ea241121663cbfbcddacc7ba --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetMarkerArea.sqf @@ -0,0 +1,69 @@ +/**************************************************************** +File: UPSMON_SetMarkerArea.sqf +Author: Azroul13 + +Description: + Get unit behaviour +Parameter(s): + <--- group + <--- Marker Area of the group + <--- UPSMON parameters +Returns: + +****************************************************************/ +private["_grp","_areamarker","_Ucthis","_showmarker","_groups","_marker","_in","_id"]; + +_grp = _this select 0; +_areamarker = _this select 1; +_Ucthis = _this select 2; + +_showmarker = "HIDEMARKER"; +_in = false; +_groups = []; +_id = - 1; +{ + _id = _id + 1; + _marker = _x select 0; + if (UPSMON_Debug > 0) then + { + Hint format ["AreaMarker:%1 marker:%2 array:%3",_areamarker,_marker,_x]; + diag_log format ["AreaMarker:%1 marker:%2 array:%3",_areamarker,_marker,_x]; + }; + If (_areamarker == _marker) exitwith + { + _in = true; + _groups = _x select 1; + }; +} foreach UPSMON_Markers; + +_groups set [count _groups,_grp]; +_markerarray = [_areamarker,_groups]; +If (_in) then +{ + UPSMON_Markers set [_id,_markerarray]; +} +else +{ + UPSMON_Markers set [count UPSMON_Markers,_markerarray]; +}; + +{ + _group = _x; + If (({alive _x && !(captive _x)} count units _group) > 0) then + { + _UCthis = _group getvariable ["UPSMON_Ucthis",[]]; + If ("SHOWMARKER" in _UCthis) exitwith {_showmarker = "SHOWMARKER";}; + }; +} foreach _groups; + +if (_showmarker=="HIDEMARKER") then +{ + _areamarker setmarkerAlpha 0; +} +else +{ + If (MarkerAlpha _areamarker == 0) then + { + _areamarker setmarkerAlpha 1; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetRenfParam.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetRenfParam.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4e58bb4eacf90cbc0e19fe12a4abdce95159335b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_SetRenfParam.sqf @@ -0,0 +1,53 @@ +/**************************************************************** +File: UPSMON_SetRenfParam.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- _grp + <--- UPSMON parameters +Returns: + +****************************************************************/ +private[]; + +_grp = _this select 0; +_Ucthis = _this select 1; + +// set If enemy detected reinforcements will be sent REIN1 +_rfid = ["REINFORCEMENT:",0,_UCthis] call UPSMON_getArg; // rein_# +_reinforcement= if ("REINFORCEMENT" in _UCthis) then {"REINFORCEMENT"} else {"NOREINFORCEMENT"}; //rein_yes + +If (_rfid > 0 || "REINFORCEMENT" in _UCthis) then +{ + _grp setvariable ["UPSMON_Reinforcement",true]; + _grp setvariable ["UPSMON_ReinforcementSent",false]; + + If ("REINFORCEMENT" in _UCthis) then + { + switch (side _grp) do + { + case West: + { + UPSMON_REINFORCEMENT_WEST_UNITS pushback _grp; + PublicVariable "UPSMON_REINFORCEMENT_WEST_UNITS"; + }; + case EAST: + { + UPSMON_REINFORCEMENT_EAST_UNITS pushback _grp; + PublicVariable "UPSMON_REINFORCEMENT_EAST_UNITS"; + }; + case RESISTANCE: + { + UPSMON_REINFORCEMENT_GUER_UNITS pushback _grp; + PublicVariable "UPSMON_REINFORCEMENT_GUER_UNITS"; + }; + }; + } + else + { + _grp setvariable ["UPSMON_Rfid",_rfid]; + }; +}; + diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_Settemplate.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_Settemplate.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1b69d187771095c41b4a5e557fdbc0e66bfffcfb --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/Params/fnc/UPSMON_Settemplate.sqf @@ -0,0 +1,29 @@ +/**************************************************************** +File: UPSMON_SetTemplate.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Spawned parameter + <--- template number + <--- Side of the group +Returns: + +****************************************************************/ +private["_spawned","_template","_side","_unitstypes"]; + +_spawned= _this select 0; +_template = _this select 1; +_side = _this select 2; +_unitstypes = _this select 3; + +//Fills template array for spawn +if (_template > 0 && !_spawned) then +{ + UPSMON_TEMPLATES = UPSMON_TEMPLATES + ( [[_template]+[_side]+_unitstypes select 0+_unitstypes select 1] ); + if (UPSMON_Debug>0) then + { + diag_log format["Adding TEMPLATE %1 _spawned %2",_template,_spawned]; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1bf0296b803e6b26b454701633d7163b51361feb --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/Init.sqf @@ -0,0 +1,15 @@ + +UPSMON_GetNearestBuildings = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_GetNearestBuildings.sqf"; +UPSMON_GetNearestBuilding = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_GetNearestBuilding.sqf"; + +UPSMON_filterbuilding = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_filterbuilding.sqf"; +UPSMON_checkdoorposition = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_checkdoorposition.sqf"; +UPSMON_Checkfreebldpos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_Checkfreebldpos.sqf"; +UPSMON_Checkfreebldpos2 = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_Checkfreebldpos2.sqf"; +UPSMON_checkwindowposition = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_checkwindowposition.sqf"; +UPSMON_gethighestbldpos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_gethighestbldpos.sqf"; +UPSMON_Isroof = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_Isroof.sqf"; +UPSMON_Inbuilding = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_Inbuilding.sqf"; +UPSMON_SortOutBldpos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_SortOutBldpos.sqf"; +UPSMON_UnitWatchDir = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_UnitWatchDir.sqf"; +UPSMON_WillSee = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\buildings\fnc\UPSMON_WillSee.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..788eea7dd796ba85bd0e4da57233a5c2cd32c8e1 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos.sqf @@ -0,0 +1,35 @@ +/**************************************************************** +File: UPSMON_Checkfreebldpos.sqf +Author: Azroul13 + +Description: + Filter the building position and check if there're no unit near the position. + +Parameter(s): + <--- Building positions +Returns: + Building position +****************************************************************/ + +private ["_bldpos","_altura","_unitnear","_id"]; + +_bldpos = _this select 0; +_unitnear = []; +_altura = []; +_id = -1; +{ + _id = _id + 1; + If (typename _x == "ARRAY") then + { + If (count _x > 0) then + { + _unitnear = _x nearEntities [["CAManBase","STATICWEAPON"],0.5]; + If (count _unitnear == 0) exitwith + { + _altura = [_x,_id] + }; + }; + }; +} foreach _bldpos; + +_altura; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos2.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos2.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e697260af02fa022967cc7eb226a6f399379430d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Checkfreebldpos2.sqf @@ -0,0 +1,37 @@ +/**************************************************************** +File: UPSMON_Checkfreebldpos2.sqf +Author: Azroul13 + +Description: + Filter the building position and check if there're no unit near the position. + +Parameter(s): + <--- Building positions +Returns: + Building positions +****************************************************************/ +private ["_bldpos","_bldpostemp","_id","_altura","_unitnear"]; + +_bldpos = _this select 0; +_bldpostemp = _bldpos; +_id = -1; +_unitnear = []; + +{ + _id = _id + 1; + If (typename _x == "ARRAY") then + { + _altura = _x; + If (count _altura > 0) then + { + _unitnear = _altura nearEntities [["CAManBase","STATICWEAPON"],0.5]; + If (count _unitnear > 0) then + { + _bldpostemp set [_id,"deletethis"]; + _bldpostemp = _bldpostemp - ["deletethis"]; + }; + }; + }; +} foreach _bldpos; + +_bldpostemp; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuilding.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuilding.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1cb4c86b33dc874643f1f10b0559685b03961597 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuilding.sqf @@ -0,0 +1,40 @@ +/**************************************************************** +File: UPSMON_GetNearestBuildings.sqf +Author: Monsada + +Description: + Get all nearest buildings and theirs positions. + +Parameter(s): + <--- soldier to get near buildings + <--- distance to search buildings (optional, 25 by default) + <--- min floors of building (optional) if not especified min floors +Returns: + [_bld,_bldpos] +****************************************************************/ +private ["_distance","_minfloors","_marker","_shuffle","_position","_bldaltura","_nbbldpos","_bldpositions","_OCercanos","_allpos"]; + +_distance = 25; +_minfloors = 2; +_marker = ""; +_shuffle = false; + +_position = _this select 0; +_bldaltura = _this select 1; +if ((count _this) > 2) then {_distance = _this select 2;}; +if ((count _this) > 3) then {_marker = _this select 3;}; +if ((count _this) > 4) then {_shuffle = _this select 4;}; + +_bldposition = []; + +_OCercanos = [ (nearestObjects [_position, ["house","building"], _distance]), { [_x,_marker] call UPSMON_filterbuilding } ] call BIS_fnc_conditionalSelect; + +if (_shuffle && count _OCercanos > 0) then {_OCercanos = _OCercanos call UPSMON_arrayShufflePlus;}; + +{ + _allpos = [_x,_bldaltura] call UPSMON_SortOutBldpos; + _nbbldpos = count (_allpos select 0); + if (damage _x == 0 && _nbbldpos > 0) exitwith {_bldposition = [_x,_allpos];}; +} foreach _OCercanos; + +_bldposition; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuildings.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuildings.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f6ae8ff1e0162f8f9e01f4b3b56cd1028cc6bb12 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_GetNearestBuildings.sqf @@ -0,0 +1,40 @@ +/**************************************************************** +File: UPSMON_GetNearestBuildings.sqf +Author: Monsada + +Description: + Get all nearest buildings and theirs positions. + +Parameter(s): + <--- soldier to get near buildings + <--- distance to search buildings (optional, 25 by default) + <--- min floors of building (optional) if not especified min floors +Returns: + [_bld,_bldpos] +****************************************************************/ +private ["_distance","_minfloors","_marker","_shuffle","_position","_bldaltura","_nbbldpos","_bldpositions","_OCercanos","_allpos"]; + +_distance = 25; +_minfloors = 2; +_marker = ""; +_shuffle = false; + +_position = _this select 0; +_bldaltura = _this select 1; +if ((count _this) > 2) then {_distance = _this select 2;}; +if ((count _this) > 3) then {_marker = _this select 3;}; +if ((count _this) > 4) then {_shuffle = _this select 4;}; + +_bldpositions = []; + +_OCercanos = [ (nearestObjects [_position, ["house","building"], _distance]), { [_x,_marker] call UPSMON_filterbuilding } ] call BIS_fnc_conditionalSelect; +if (_shuffle && count _OCercanos > 1) then {_OCercanos = _OCercanos call UPSMON_arrayShufflePlus;}; + +{ + _allpos = [_x,_bldaltura] call UPSMON_SortOutBldpos; + {[_x] call UPSMON_Checkfreebldpos2} foreach _allpos; + _nbbldpos = (count (_allpos select 0)) + (count (_allpos select 1)); + if (damage _x == 0 && _nbbldpos > 0) then {_bldpositions pushback [_x,_allpos];}; +} foreach _OCercanos; + +_bldpositions; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Inbuilding.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Inbuilding.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a171622da94f3bbfd36eb2e57fc741816ec57fc8 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Inbuilding.sqf @@ -0,0 +1,34 @@ +/**************************************************************** +File: UPSMON_Inbuilding.sqf +Author: Azroul13 + +Description: + Check if the AI is in a building. + +Parameter(s): + <--- Unit +Returns: + boolean +****************************************************************/ + +private ["_Inbuilding","_Roof","_unit","_Down"]; +_unit = _this select 0; + +_Inbuilding = false; +_Roof = lineIntersectsWith [getposASL _unit, [((getposASL _unit) select 0), ((getposASL _unit) select 1), ((getposASL _unit) select 2) + 20]]; + +If (count _Roof > 0) then +{ + _Inbuilding = (_Roof select 0) isKindOf "BUILDING"; +}; + +If (!_Inbuilding) then +{ + _Down = lineIntersectsWith [getposASL _unit, [((getposASL _unit) select 0), ((getposASL _unit) select 1), ((getposASL _unit) select 2) - 20]]; + if (count _Down > 0) then + { + _Inbuilding = (_Down select 0) isKindOf "BUILDING"; + }; +}; + +_Inbuilding \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Isroof.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Isroof.sqf new file mode 100644 index 0000000000000000000000000000000000000000..7a6e28a3a22c8050b57e02e585b8ca3ce10f2c23 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_Isroof.sqf @@ -0,0 +1,26 @@ +/**************************************************************** +File: UPSMON_Isroof.sqf +Author: Azroul13 + +Description: + Check if the AI is under a roof. + +Parameter(s): + <--- Unit +Returns: + boolean +****************************************************************/ + +private ["_Inbuilding","_Roof","_unit"]; + +_unit = _this select 0; + +_Inbuilding = false; +_Roof = lineIntersectsWith [getposASL _unit, [((getposASL _unit) select 0), ((getposASL _unit) select 1), ((getposASL _unit) select 2) + 20]]; + +If (count _Roof > 0) then +{ + _Inbuilding = (_Roof select 0) isKindOf "BUILDING"; +}; + +_Inbuilding \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_SortOutBldpos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_SortOutBldpos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f06374396217274942ada6a44b793fb613124acc --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_SortOutBldpos.sqf @@ -0,0 +1,77 @@ +/**************************************************************** +File: UPSMON_SortOutBldpos.sqf +Author: Azroul13 + +Description: + Get All position from a building + +Parameter(s): + <--- building + <--- Search parameters: get only 1st floor position or upstairs position or both ("RANDOMUP"/"RANDOMDN"/"RANDOMA") +Returns: + Array of bldpos +****************************************************************/ + +private ["_bld","_initpos","_height","_bldpos","_checkheight","_downpos","_roofpos","_allpos","_bldpos1","_posz"]; + +_bld = _this select 0; +_initpos = _this select 1; +_height = 2; + +_bldpos = [_bld, 70] call BIS_fnc_buildingPositions; +_checkheight = [_bldpos] call UPSMON_gethighestbldpos; +If (_checkheight > _height) then {If (_checkheight >= 4) then {_height = _checkheight - 1.5;} else {_height = _checkheight - 0.5;};}; + +_downpos = []; +_roofpos = []; +_allpos = []; + +{ + _bldpos1 = _x; + _posz = _bldpos1 select 2; + + If (_posz >= _height) then {_roofpos pushback _bldpos1;}; + If (_posz < _height) then {_downpos pushback _bldpos1;}; + +} foreach _bldpos; + +If (count _downpos > 1) then +{ + _downpos = _downpos call UPSMON_arrayShufflePlus; +}; + +If (count _roofpos > 1) then +{ + _roofpos = _roofpos call UPSMON_arrayShufflePlus; +}; + +If (_initpos == "RANDOMUP") then {_allpos pushback _roofpos; _allpos pushback _downpos;}; +If (_initpos == "RANDOMDN") then {_allpos pushback _downpos; _allpos pushback _roofpos;}; +If (_initpos == "RANDOMA") then {_allpostemp = [_downpos,_roofpos] call BIS_fnc_arrayPushStack;_allpos pushback _allpostemp;_allpos pushback [];}; + + +if (_initpos == "RANDOMA") then +{ + If (count (_allpos select 0) > 1) then + { + _allpostemp = (_allpos select 0) call UPSMON_arrayShufflePlus; + _allpos set [0,_allpostemp]; + }; +}; + +if (count _allpos > 0) then +{ + if (UPSMON_Debug > 0) then + { { + If (count _x > 0) then + { + { + _ballCover = "Sign_Arrow_Large_GREEN_F" createvehicle [0,0,0]; + _ballCover setpos _x; + } foreach _x; + }; + } foreach _allpos; + }; +}; + +_allpos; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_SortOutBldpos2.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_SortOutBldpos2.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6dfcc74311a878ba0ee3313934385e21cf07d3c5 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_SortOutBldpos2.sqf @@ -0,0 +1,33 @@ +/**************************************************************** +File: UPSMON_SortOutBldpos.sqf +Author: Azroul13 + +Description: + Get All position from a building + +Parameter(s): + <--- building + <--- Search parameters: get only 1st floor position or upstairs position or both ("RANDOMUP"/"RANDOMDN"/"RANDOMA") +Returns: + Array of bldpos +****************************************************************/ + +private ["_bld","_initpos","_height","_bldpos","_checkheight","_downpos","_roofpos","_allpos","_bldpos1","_posz"]; + +_bld = _this select 0; +_targetpos = _this select 1; + +_bldpos = [_bld, 70] call BIS_fnc_buildingPositions; + +_allpos = []; + +{ + If ([_x,_targetpos] call UPSMON_LOS) then {_allpos pushback _x;}; +} foreach _bldpos; + +If (count _allpos > 1) then +{ + _allpos = _roofpos call UPSMON_arrayShufflePlus; +}; + +_allpos; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_UnitWatchDir.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_UnitWatchDir.sqf new file mode 100644 index 0000000000000000000000000000000000000000..8a9b159d18be53010b8d40ede9980d6aa75ff3c9 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_UnitWatchDir.sqf @@ -0,0 +1,118 @@ +/**************************************************************** +File: UPSMON_UnitWatchDir.sqf +Author: Azroul13 + +Description: + make unit watch doors or windows. + +Parameter(s): + <--- Unit + <--- Direction of the unit + <--- Building where is the unit +Returns: + nothing +****************************************************************/ +private ["_see","_infront","_uposASL","_opp","_adj","_hyp","_eyes","_obstruction","_angle","_isroof"]; + +_unit = _this select 0; +_angle = _this select 1; +_bld = _this select 2; +_essai = 0; +_see = false; +_ouverture = false; +_findoor = false; +_wpos = []; +_dpos = []; +_watch = []; +dostop _unit; +_windowpositions = []; +_doorpositions = []; + +_watchdir = [getposATL _unit,_bld modeltoworld [0,0,0]] call BIS_fnc_DirTo; +_watchdir = _watchdir + 180; +_unit setdir 0; +_unit setdir _watchdir; +sleep 0.7; + +_sight = [_unit,getdir _unit, 20] call UPSMON_CanSee; + +_isroof = [_unit] call UPSMON_Isroof; + +If (_isroof) then +{ + if (!_sight) then + { + // check window + _windowpositions = [_bld] call UPSMON_checkwindowposition; + If (count _windowpositions > 0) then + { + { + If (UPSMON_Debug > 0) then {diag_log format ["%1 %2 window %3 result %4",_unit,(ASLtoATL(eyePos _unit)),_x select 0,(ASLtoATL(eyePos _unit)) distance _x]}; + If (((ASLtoATL(eyePos _unit)) vectorDistance _x) <= 2.5) exitwith {_watch = _x;}; + } forEach _windowpositions; + + if (count _watch > 0) then + { + _wpos = _watch; + }; + }; + + // check for door + _doorpositions = [_bld] call UPSMON_checkdoorposition; + + if (count _doorpositions == 0) then + { + _exitpos = _bld buildingExit 0; + If (count _exitpos > 0) then {_doorpositions pushback (_bld modelToWorld _exitpos)}; + }; + + If (count _doorpositions > 0) then + { + { + //diag_log format ["%1 %2 door %3 result %4",_unit,(ASLtoATL(eyePos _unit)),_x,(ASLtoATL(eyePos _unit)) distance _x]; + If (((ASLtoATL(eyePos _unit)) vectorDistance _x) <= 3) exitwith {_watch = _x;}; + } forEach _doorpositions; + + if (count _watch > 0) then + { + _dpos = _watch; + + }; + }; + }; +}; + +_unit setvariable ["UPSMON_unitdir",[_wpos,_dpos]]; +If (count _dpos > 0) then {_watch = _dpos;_ouverture = true; _findoor = true;}; +If (count _wpos > 0) then {_watch = _wpos;_ouverture = true;_findoor = false;}; +sleep 0.1; +If (count _watch > 0) then +{ + _posATL = getPosATL _unit; + + _abx = (_watch select 0) - (_posATL select 0); + _aby = (_watch select 1) - (_posATL select 1); + _abz = (_watch select 2) - (_posATL select 2); + + _vec = [_abx, _aby, _abz]; + + // Main body of the function; + _unit setdir 0; + _unit setVectorDir _vec; + + _unit dowatch ObjNull; + _unit dowatch _watch; + + If(UPSMON_DEBUG > 0) then + { + _ballCover2 = "Sign_Sphere25cm_F" createvehicle [0,0,0]; + _ballCover2 setposATL _watch; + }; +}; + +Sleep 0.5; +// Check if window blocking view or search direction for AI if he doesn't watch window or door. +If (!(_findoor) && !_sight) then +{ + [_unit,getdir _unit,_ouverture] spawn UPSMON_WillSee; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_WillSee.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_WillSee.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9d0764b1cab7ad491284aa05406aab43fc989544 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_WillSee.sqf @@ -0,0 +1,75 @@ +/**************************************************************** +File: UPSMON_WillSee.sqf +Author: Zorilaya + +Description: + Make the AI watch openings. + +Parameter(s): + <--- Parameters of the original group + <--- Minimum number of group to create + <--- Maximum number of group to create +Returns: + nothing +****************************************************************/ + +// garrison func from Zorilaya +private ["_unit","_angle","_window","_essai","_eyes","_hyp","_adj","_opp","_infront","_obstruction","_see","_abx","_aby","_abz","_vec"]; + +_unit = _this select 0; +_angle = _this select 1; +_window = _this select 2; +_essai = 0; + +If (count _this > 3) then {_essai = _this select 3;}; + +_eyes = eyepos _unit; + +_hyp = 10; +_adj = _hyp * (cos _angle); +_opp = sqrt ((_hyp*_hyp) - (_adj * _adj)); + + +_infront = if ((_angle) >= 180) then +{ + [(_eyes select 0) - _opp,(_eyes select 1) + _adj,(_eyes select 2)] +} +else +{ + [(_eyes select 0) + _opp,(_eyes select 1) + _adj,(_eyes select 2)] +}; + +_obstruction = (lineintersectswith [_eyes,_infront,_unit]) select 0; + +_see = if (isnil("_obstruction")) then {true} else {false}; +if (UPSMON_DEBUG > 0) then {diag_log format ["Unit: %1 See:%2 Essai:%3",_unit,_see,_essai];}; + +If (!_see && _essai < 20) exitwith +{ + _essai = _essai + 1; + If (_window) then {_angle = _angle + 2} else {_angle = random 360}; + [_unit,_angle,_window,_essai] call UPSMON_WillSee; +}; + +If (_see && _essai > 0) then +{ + _posATL = getPosATL _unit; + + _abx = (_infront select 0) - (_posATL select 0); + _aby = (_infront select 1) - (_posATL select 1); + _abz = (_infront select 2) - (_posATL select 2); + + _vec = [_abx, _aby, _abz]; + + // Main body of the function; + _unit setVectorDir _vec; + sleep 0.02; + _unit dowatch ObjNull; + _unit dowatch [_infront select 0,_infront select 1, _posATL select 2]; + + if (UPSMON_DEBUG > 0) then + { + _ballCover = "Sign_Arrow_Large_BLUE_F" createvehicle [0,0,0]; + _ballCover setposATL [_infront select 0,_infront select 1, _posATL select 2]; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_checkdoorposition.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_checkdoorposition.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4c23032893bb1729b536080d79604c557c7230d5 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_checkdoorposition.sqf @@ -0,0 +1,37 @@ +/**************************************************************** +File: UPSMON_checkdoorposition.sqf +Author: Azroul13 + +Description: + Get all doors position of the building + +Parameter(s): + <--- Building +Returns: + Doors positions. +****************************************************************/ +private ["_model_pos","_world_pos","_armor","_cfg_entry","_veh","_house","_window_pos_arr","_cfgHitPoints","_cfgDestEff","_brokenGlass","_selection_name"]; + +_house = _this select 0; +_anim_source_pos_arr = []; + +_cfgUserActions = (configFile >> "cfgVehicles" >> (typeOf _house) >> "UserActions"); + +for "_i" from 0 to count _cfgUserActions - 1 do +{ + _cfg_entry = _cfgUserActions select _i; + + if (isClass _cfg_entry) then + { + _display_name = getText (_cfg_entry / "displayname"); + if (_display_name == "Open hatch" or {_display_name == "Open door"}) then + { + _selection_name = getText (_cfg_entry / "position"); + _model_pos = _house selectionPosition _selection_name; + _world_pos = _house modelToWorld _model_pos; + _anim_source_pos_arr pushback _world_pos; + }; + }; +}; + +_anim_source_pos_arr \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_checkwindowposition.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_checkwindowposition.sqf new file mode 100644 index 0000000000000000000000000000000000000000..8d44ddabbb6f6200373eb5d8afb84585da783f32 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_checkwindowposition.sqf @@ -0,0 +1,40 @@ +/**************************************************************** +File: UPSMON_checkwindowposition.sqf +Author: Azroul13 + +Description: + Get all windows position of the building + +Parameter(s): + <--- Building +Returns: + windows positions. +****************************************************************/ + +private ["_model_pos","_world_pos","_armor","_cfg_entry","_veh","_house","_window_pos_arr","_cfgHitPoints","_cfgDestEff","_brokenGlass","_selection_name"]; + +_house = _this select 0; +_window_pos_arr = []; + +_cfgHitPoints = (configFile >> "cfgVehicles" >> (typeOf _house) >> "HitPoints"); + +for "_i" from 0 to count _cfgHitPoints - 1 do +{ + _cfg_entry = _cfgHitPoints select _i; + + if (isClass _cfg_entry) then + { + _armor = getNumber (_cfg_entry / "armor"); + + if (_armor < 10) then + { + _cfgDestEff = (_cfg_entry / "DestructionEffects"); + _brokenGlass = _cfgDestEff select 0; + _selection_name = getText (_brokenGlass / "position"); + _model_pos = _house selectionPosition _selection_name; + _world_pos = _house modelToWorld _model_pos; + _window_pos_arr pushback _world_pos; + }; + }; +}; +_window_pos_arr \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_filterbuilding.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_filterbuilding.sqf new file mode 100644 index 0000000000000000000000000000000000000000..dedaabf8ac990846f4b23c2b56c890a4781f7018 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_filterbuilding.sqf @@ -0,0 +1,36 @@ +/**************************************************************** +File: UPSMON_filterbuilding.sqf +Author: Azroul13 + +Description: + Filter the building, avoid bridge building or building with no position. + +Parameter(s): + <--- Building +Returns: + boolean +****************************************************************/ + +private ["_bld","_marker","_return","_in","_UPSMON_Bld_remove"]; + +_bld = _this select 0; +_marker = _this select 1; +_return = false; +_in = true; + +if (!((typeof _bld) in UPSMON_Bld_remove)) then +{ + If (_marker != "") then + { + _in = [getposATL _bld,_marker] call UPSMON_pos_fnc_isBlacklisted; + }; + if (_in) then + { + if ([_bld,1] call BIS_fnc_isBuildingEnterable) then + { + _return = true; + }; + }; +}; + +_return; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_gethighestbldpos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_gethighestbldpos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..eb4e84bc41a4df59333d7dbd5d070453dc04b0de --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/buildings/fnc/UPSMON_gethighestbldpos.sqf @@ -0,0 +1,32 @@ +/**************************************************************** +File: UPSMON_gethighestbldpos.sqf +Author: Azroul13 + +Description: + Get the highest point of the building + +Parameter(s): + <--- Array of building positions +Returns: + Number +****************************************************************/ + +private ["_bldpos","_result","_zbldposs","_lastzbldpos"]; + +_bldpos = _this select 0; +_result = 0; +_zbldposs = []; +_lastzbldpos = 0; + + +{ + _zbldposs = _zbldposs + [_x select 2]; +} foreach _bldpos; + +{ + _zblpos = _x; + If (_zblpos > _lastzbldpos) then {_result = _zblpos;} else {_result = _lastzbldpos;}; + _lastzbldpos = _x; +} foreach _zbldposs; + +_result; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Checkratio.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Checkratio.sqf new file mode 100644 index 0000000000000000000000000000000000000000..155046e18cdafc95f15f7f8b82ab45b94f697862 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Checkratio.sqf @@ -0,0 +1,255 @@ +/**************************************************************** +File: UPSMON_Checkratio.sqf +Author: Azroul13 + +Description: + Comparison between Allied and Enemies forces in 800 radius +Parameter(s): + <--- Group + <--- Array of allied groups + <--- Array of enies units +Returns: + ---> Ratio Eni/Allies + ---> Array of importants targets +****************************************************************/ +private ["_grp","_allies","_enies","_pointsallies","_pointsenies","_ratedveh","_Itarget","_result","_points","_vehicle","_MagazinesUnit","_Cargo","_armor","_assignedvehicles"]; + +_grp = _this select 0; +_allies = _this select 1; +_enies = _this select 2; +_pointsallies = 0; +_pointsenies = 0; +_ratedveh = []; +_typeofeni = []; +_enicapacity = []; +_assignedvehicles = []; + +_allies pushback _grp; + +{ + If(!IsNull _x) then + { + If (({alive _x} count units _x) > 0) then + { + _pointsallies = _pointsallies + (_x getvariable ["UPSMON_Grpratio",0]); + }; + }; +} count _allies > 0; + +{ + _eni = _x; + _points = 0; + + If (!IsNull _eni) then + { + If (alive _eni) then + { + if ((vehicle _eni) != _eni && !(Isnull assignedVehicle _eni) && !(_eni in (assignedCargo assignedVehicle _eni))) then + { + if (!((assignedVehicle _eni) in _assignedvehicles)) then + { + _vehicle = assignedVehicle _eni; + _assignedvehicles pushback _vehicle; + _MagazinesUnit=(magazines _vehicle); + _Cargo = getNumber (configFile >> "CfgVehicles" >> typeof _vehicle >> "transportSoldier"); + _armor = getNumber (configFile >> "CfgVehicles" >> typeof _vehicle >> "armor"); + _gunner = gunner _vehicle; + _ammorated = []; + + _points = _points + 1; + + If (!IsNull _gunner) then + { + If (alive _gunner) then + { + { + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _x >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + _hit = getNumber (configfile >> "CfgAmmo" >> _ammo >> "hit"); + + if (_airlock == 1) then + { + if (_ammo iskindof "BulletBase") then + { + If (!("aa1" in _enicapacity)) then + { + _enicapacity pushback "aa1"; + }; + }; + }; + + if (_airlock == 2) then + { + if (!(_ammo iskindof "BulletBase")) then + { + If (!("aa2" in _enicapacity)) then + { + _enicapacity pushback "aa2"; + }; + }; + }; + + if (_irlock>0 || _laserlock>0) then + { + if (_ammo iskindof "MissileBase") then + { + If (!("at2" in _enicapacity)) then + { + _enicapacity pushback "at2"; + }; + }; + }; + + if (_ammo iskindof "ShellBase") then + { + //if (!(arti in _typeofgrp)) then + //{ + If (!("at3" in _enicapacity)) then + { + _enicapacity pushback "at3"; + }; + //}; + }; + + if (_ammo iskindof "BulletBase") then + { + if (_hit >= 40) then + { + If (!("at1" in _enicapacity)) then + { + _enicapacity pushback "at1"; + }; + }; + }; + If (!(_ammo in _ammorated)) then + { + _points = _points + _hit; + _ammorated pushback _ammo; + }; + + } foreach _MagazinesUnit; + }; + }; + + _points = _points + _armor; + + + If (_vehicle iskindof "car") then + { + If (!("car" in _typeofeni)) then + { + _typeofeni pushback "car"; + }; + + If (_armor >= 500) then + { + If (!("heavy" in _typeofeni)) then + { + _typeofeni pushback "heavy"; + }; + }; + + If (_armor >= 250 && _armor < 500) then + { + If (!("medium" in _typeofeni)) then + { + _typeofeni pushback "medium"; + }; + }; + + If (_armor < 250) then + { + If (!("light" in _typeofeni)) then + { + _typeofeni pushback "light"; + }; + }; + }; + + If (_vehicle iskindof "air") then + { + If (!("air" in _typeofeni)) then + { + _typeofeni pushback "air"; + }; + }; + + If (_vehicle iskindof "Ship") then + { + If (!("Ship" in _typeofeni)) then + { + _typeofeni pushback "Ship"; + }; + }; + + If (!IsNull (Gunner _vehicle)) then + { + If (!("armed" in _typeofeni)) then + { + _typeofeni pushback "armed"; + }; + }; + + }; + } + else + { + If (vehicle _x != _x) then + { + If (!((assignedVehicle _x) in _assignedvehicles)) then + { + _assignedvehicles pushback (assignedVehicle _x); + } + }; + _sweapon = secondaryWeapon _x; + _MagazinesUnit=(magazines _x); + _smagazineclass = []; + If (_sweapon != "") then + { + _smagazineclass = getArray (configFile >> "CfgWeapons" >> _sweapon >> "magazines"); + }; + _ammorated = []; + + _points = _points + 1; + + { + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _x >> "ammo"); + _irlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "irLock"); + _laserlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "laserLock"); + _airlock = getNumber (configfile >> "CfgAmmo" >> _ammo >> "airLock"); + _hit = getNumber (configfile >> "CfgAmmo" >> _ammo >> "hit"); + + if (_airlock==2 && !(_ammo iskindof "BulletBase") && !("aa2" in _enicapacity) && (_ammo in _smagazineclass)) then + {_enicapacity pushback "aa2";}; + if ((_irlock>0 || _laserlock>0) && + ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) && !("at2" in _enicapacity) && (_ammo in _smagazineclass)) then + {_enicapacity pushback "at2";}; + if ((_irlock==0 || _laserlock==0) && + ((_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase")) && !("at1" in _enicapacity) && (_ammo in _smagazineclass)) then + {_enicapacity pushback "at1";}; + + If (_ammo iskindof "ShellBase" || (_ammo iskindof "RocketBase") || (_ammo iskindof "MissileBase") && !(_ammo in _ammorated) && (_ammo in _smagazineclass)) then + { + _points = _points + _hit; + _ammorated pushback _ammo; + }; + } foreach _MagazinesUnit; + + if (!("infantry" in _typeofeni)) then + {_typeofeni pushback "infantry";}; + }; + _points = _points + ((1+(morale _eni)) + (1-(damage _eni)) + ((_eni skillFinal "Endurance") + (_eni skillFinal "courage"))); + _pointsenies = _points; + }; + }; +} foreach _enies; + +//diag_log str _pointsenies; +//diag_log str _pointsallies; +if (_pointsallies == 0) then {_pointsallies = 0.1};//by Barbolani, to avoid bugs. +_ratio = _pointsenies/_pointsallies; + +_result = [_ratio,_enicapacity,_typeofeni]; +_result; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_ClassifyEnies.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_ClassifyEnies.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ef5654163d9d0d703d117b60b9068bfd0ec6ac9c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_ClassifyEnies.sqf @@ -0,0 +1,80 @@ +private ["_grp","_enies","_npcpos","_capacitygrp","_typeofgrp","_list","_points","_armor"]; + +_grp = _this select 0; +_enies = _this select 1; + +_npcpos = getposATL (leader _grp); +_capacitygrp = _grp getvariable ["UPSMON_GroupCapacity",[]]; +_typeofgrp = _grp getvariable ["UPSMON_typeofgrp",[]]; +_list = []; + +{ + If (alive _x) then + { + _points = 0; + + //If ([leader _grp,_x,_npcpos vectordistance ((_x getvariable "UPSMON_TargetInfo") select 0),130] call UPSMON_Haslos) then MODIFIED BY BARBOLANI + If ([leader _grp,_x,_npcpos distance (getPosATL _x),130] call UPSMON_Haslos) then + { + _points = _points + 200; + }; + + If (vehicle _x != _x) then + { + If ("ship" in _typeofgrp) then + { + If ((vehicle _x) iskindof "ship") then + { + _points = _points + 200; + }; + }; + + If ("air" in _typeofgrp || "aa1" in _capacitygrp || "aa2" in _capacitygrp) then + { + if ("aa1" in _capacitygrp || "aa2" in _capacitygrp) then + { + If ((vehicle _x) iskindof "air") then + { + _points = _points + 300; + }; + }; + }; + + If ("at1" in _capacitygrp || "at2" in _capacitygrp || "at3" in _capacitygrp) then + { + _armor = getNumber (configFile >> "CfgVehicles" >> typeof (vehicle _x) >> "armor"); + If (_armor >= 500 && ("at2" in _capacitygrp || "at3" in _capacitygrp)) then + { + _points = _points + 300; + }; + + If (_armor < 500 && "at1" in _capacitygrp) then + { + _points = _points + 200; + }; + + If (_armor < 250) then + { + _points = _points + 200; + }; + + if (!IsNull (Gunner (vehicle _x))) then + { + _points = _points + 100; + }; + }; + }; + //_points = _points - ((_npcpos vectordistance ((_x getvariable "UPSMON_TargetInfo") select 0)) / 10); MODIFIED BY BARBOLANI + _points = _points - ((_npcpos distance (getPosATL _x)) / 10); + If (_points < 0) then {_points = 0;}; + _list pushback [_x,_points]; + } +} foreach _enies; + +_list = [_list, [], {(_x select 1)}, "DESCEND"] call BIS_fnc_sortBy; + +{ + _enies pushback (_x select 0); +} foreach _list; + +_enies \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Eniesnear.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Eniesnear.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e9292ef5867f71ad667aa57ab8f29e355962ac33 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Eniesnear.sqf @@ -0,0 +1,20 @@ +private ["_npc","_enies","_nbr","_unitsnear"]; + +_npc = _this select 0; +_enies = _this select 1; + +_enies = _enies - _npc; +_unitsnear = nearestobjects [getposATL _npc,["CAManBase","TANK","CAR"],100]; +_nbr = 0; + +{ + If (alive _x) then + { + If (_x in _enies) then + { + _nbr = _nbr +1; + }; + } +} foreach _unitsnear; + +_nbr \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Shareinfos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Shareinfos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f4d474e3330795db1d10d7b99126193a0e224bb3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_Shareinfos.sqf @@ -0,0 +1,67 @@ +/**************************************************************** +File: UPSMON_Shareinfos.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Array of enemies + <--- leader +Returns: + Nothing +****************************************************************/ + +private ["_enemies","_npc","_arrnpc","_side","_pos","_alliednpc","_alliedlead","_enemy"]; + +_npc = _this select 0; +_arrnpc = UPSMON_NPCs - [group _npc]; +_side = side _npc; +_pos = getposATL _npc; +_alliednpc = []; +_enemies = []; + +{ + If (!IsNull _x) then + { + If (alive (leader _x)) then + { + If (_x getvariable ["UPSMON_Shareinfos",false]) then + { + If (_side == side _x) then + { + If (count (_x getvariable ["UPSMON_GrpEnies",[]]) > 0) then + { + If (round ([_pos,getposATL (leader _x)] call UPSMON_distancePosSqr) <= UPSMON_sharedist) then + { + _alliednpc pushback _x; + }; + }; + }; + }; + }; + }; +} foreach _arrnpc; + + +{ + If (!IsNull _x) then + { + _alliedlead = leader _x; + if (alive _alliedlead) then + { + _enies = _x getvariable ["UPSMON_GrpEnies",[]]; + { + If (alive _x) then + { + If (!(_x in _enemies)) then + { + _enemies pushback _x; + }; + }; + } foreach _enies; + }; + sleep 0.1; + }; +} foreach _alliednpc; + +_enemies \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_TargetAcquisition.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_TargetAcquisition.sqf new file mode 100644 index 0000000000000000000000000000000000000000..49ddddc25bb4d71095a617ad406b4daaeb7fd1db --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_TargetAcquisition.sqf @@ -0,0 +1,105 @@ +/**************************************************************** +File: UPSMON_TargetAcquisition.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Group + <--- Does the group share enemy info + <--- Radius where Enemys is consider closed to the group + <--- Time + <--- Last time group share infos + <--- +Returns: + ---> Enemies Array + ---> Allies Array + ---> nearest target + ---> Distance from target + ---> how much group know about target + ---> Is target near to the group (less than 300m) + ---> known position of the target +****************************************************************/ +private ["_grp","_timeontarget","_react","_npc","_target","_opfknowval","_attackPos","_Enemies","_Allies","_targetsnear","_Units","_dist","_newattackPos","_newtarget"]; + +_grp = _this select 0; +_accuracy = 1000; + +_npc = leader _grp; + +_target = objNull; +_opfknowval = 0; +_attackPos = []; +_Enemies = []; +_Allies = []; +_targetsnear = false; + +//Resets distance to target +_dist = 10000; + +/// GET ENEMIES AND ALLIES UNITS NEAR THE LEADER //// +_Units = [_npc] call UPSMON_findnearestenemy; +_Enemies = _Units select 0; +_Allies = _Units select 1; +_suspectenies = _Units select 2; + +_grp setvariable ["UPSMON_GrpEnies",_Enemies]; +If (count _Enemies == 0) then +{ + // Share the enemies infos we found with our allies + If (_grp getvariable ["UPSMON_Shareinfos",false]) then + { + _enemies = [_npc] call UPSMON_Shareinfos; + }; +}; + +/// ENEMIES FOUND, the first of the list is our enemy now :p //// +If (count _Enemies > 0) then +{ + //Get the most dangerous in the list of enies + _Enemies = [_grp,_Enemies] call UPSMON_Classifyenies; + _target = _Enemies select 0; + + If (!IsNull _target) then + { + _opfknowval = (_target getvariable "UPSMON_TargetInfos") select 3; + If (_npc knowsAbout _target < _opfknowval) then + { + _npc reveal [_target,_opfknowval]; + }; + _attackPos = (_target getvariable "UPSMON_TargetInfos") select 0; + _grp setvariable ["UPSMON_Attackpos",_attackpos]; + If (_grp getvariable ["UPSMON_Grptarget",ObjNull] != _target) then + { + _grp setvariable ["UPSMON_TIMEONTARGET",time]; + _grp setvariable ["UPSMON_Grptarget",_target]; + }; + }; +}; + +// +if (!IsNull (_grp getvariable ["UPSMON_Grptarget",ObjNull])) then +{ + If (!alive (_grp getvariable ["UPSMON_Grptarget",ObjNull])) then + { + _grp setvariable ["UPSMON_Grptarget",ObjNull]; + }; +}; + +If (count _attackpos == 0) then +{ + _attackpos = _grp getvariable ["UPSMON_Attackpos",[]]; +}; + +If (count _attackpos > 0) then +{ + _grp setvariable ["UPSMON_GrpStatus","YELLOW"]; + _dist = ([getposATL _npc,_attackPos] call UPSMON_distancePosSqr); + if (UPSMON_Debug > 0) then {[_attackPos,"ICON","Hd_dot","ColorRed",format ["Group:%1 Time:%2",_grp getvariable ["UPSMON_Grpid",0],time]] call UPSMON_createmarker;}; +}; + +If (_dist <= 300) then {_targetsnear = true;}; + +_result = [_Enemies,_Allies,_target,_dist,_targetsnear,_attackPos,_suspectenies,_opfknowval]; + +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_TargetAcquisitionCiv.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_TargetAcquisitionCiv.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d49901bb672a4ff1254883c8c48b8b0fdc396e62 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_TargetAcquisitionCiv.sqf @@ -0,0 +1,116 @@ +/**************************************************************** +File: UPSMON_TargetAcquisition.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Group + <--- Does the group share enemy info + <--- Radius where Enemys is consider closed to the group + <--- Time + <--- Last time group share infos + <--- +Returns: + ---> Enemies Array + ---> Allies Array + ---> nearest target + ---> Distance from target + ---> how much group know about target + ---> Is target near to the group (less than 300m) + ---> known position of the target + ---> +****************************************************************/ +private ["_grp","_timeontarget","_npc","_target","_attackPos","_Enemies","_Units","_dist"]; + +_grp = _this select 0; +_areamarker = _this select 1; + +_npc = leader _grp; + +_target = objNull; +_attackPos = []; +_Enemies = []; + +//Resets distance to target +_dist = 10000; + +/// GET ENEMIES AND ALLIES UNITS NEAR THE LEADER //// +_targets = _npc nearTargets 500; + +_enemysides = []; +If (_grp getvariable ["UPSMON_GrpHostility",0] > UPSMON_WEST_HM) then {_enemysides pushback WEST}; +If (_grp getvariable ["UPSMON_GrpHostility",0] > UPSMON_EAST_HM) then {_enemysides pushback EAST}; +If (_grp getvariable ["UPSMON_GrpHostility",0] > UPSMON_GUER_HM) then {_enemysides pushback Resistance}; + +{ + _position = (_x select 0); + _cost = (_x select 3); + _unit = (_x select 4); + _side = (_x select 2); + _accuracy = (_x select 5); + + If (_side in _enemySides) then + { + If (alive _unit) then + { + If (alive _npc) then + { + if (vehicle _unit == _unit) then + { + If ([_position,_areamarker] call UPSMON_pos_fnc_isBlacklisted) then + { + if (_accuracy < 20) then + { + _enemies pushback [_unit,_position]; + }; + }; + }; + }; + }; + }; +} forEach _targets; + + +/// ENEMIES FOUND, the first of the list is our enemy now :p //// +If (count _Enemies > 0) then +{ + //Get the most dangerous in the list of enies + _Enemies = [_Enemies, [], {(_x select 1) vectordistance getposATL _npc}, "ASCEND"] call BIS_fnc_sortBy; + _target = (_Enemies select 0) select 0; + If (!IsNull _target) then + { + _attackPos = (_Enemies select 0) select 1; + _grp setvariable ["UPSMON_Attackpos",_attackpos]; + }; + + // Let's check if we have a more dangerous threat +}; + +// +if (!isNull (_target)) then +{ + If (alive _target) then + { + If ((_grp getvariable ["UPSMON_Grptarget",ObjNull]) != _target) then + { + _timeontarget = time; + _grp setvariable ["UPSMON_TIMEONTARGET",_timeontarget]; + _grp setvariable ["UPSMON_Grptarget",_target]; + }; + }; +}; + +If (count _attackpos == 0) then +{ + _attackpos = _grp getvariable ["UPSMON_Attackpos",[]]; +}; + +If (count _attackpos > 0) then +{ + _dist = ([getposATL _npc,_attackPos] call UPSMON_distancePosSqr); +}; + +_result = [_target,_dist,_attackPos]; + +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_findnearestenemy.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_findnearestenemy.sqf new file mode 100644 index 0000000000000000000000000000000000000000..7984f7d09a41dec8cec9b3e8bf98f083a6d17d6e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/fnc/UPSMON_findnearestenemy.sqf @@ -0,0 +1,112 @@ +/**************************************************************** +File: UPSMON_findnearestenemy.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Unit +Returns: + ---> Array of allied groups + ---> Array of enies units +****************************************************************/ + +private["_npc","_targets","_enemies","_allies","_enemySides","_friendlySides","_side","_unit"]; + +_npc = _this select 0; +_npcpos= getposATL _npc; +_enemies = []; +_suspectenies = []; +_allies = []; +_targets = []; + +if (_npc isKindof "CAManBase") then +{_targets = _npc nearTargets 800;}; +if (_npc isKindof "car") then +{ + If ((!isNull gunner (vehicle _npc)) && (gunner (vehicle _npc) == _npc) ) then + {_targets = _npc nearTargets 1000;} else {_targets = _npc nearTargets 500;}; +}; +if (_npc isKindof "Tank" || _npc isKindof "Wheeled_APC" || _npc isKindof "Ship") then +{ + If (((!isNull gunner (vehicle _npc)) && (gunner (vehicle _npc) == _npc)) || ((!isNull commander (vehicle _npc)) && (commander (vehicle _npc) == _npc))) then + {_targets = _npc nearTargets 1500;} else {_targets = _npc nearTargets 500;}; +}; +if (_npc isKindof "StaticWeapon") then +{_targets = _npc nearTargets 1000;}; +if (_npc isKindof "air") then +{ + if ((driver (vehicle _npc) == _npc) || ((!isNull gunner (vehicle _npc)) && (gunner (vehicle _npc) == _npc))) then + {_targets = _npc nearTargets 2000;}; +}; + +_enemySides = _npc call BIS_fnc_enemySides; +_friendlySides = _npc call BIS_fnc_friendlySides; + +{ + _position = (_x select 0); + _cost = (_x select 3); + _unit = (_x select 4); + _side = (_x select 2); + _accuracy = (_x select 5); + + If (_side in _enemySides) then + { + If (alive _unit) then + { + If (alive _npc) then + { + if (count crew _unit > 0) then + { + if ((side driver _unit) in _enemySides) then + { + if (_accuracy < 20) then + { + _enemies pushback _unit; + _kv = _npc knowsAbout _unit; + _unit setvariable ["UPSMON_TargetInfos",[_position,_accuracy,_cost,_kv]]; + //[_position,"ColorRed"] call fnc_createMarker; + } + else + { + If (_accuracy < 100) then + { + _suspectenies pushback _unit; + _unit setvariable ["UPSMON_TargetInfos",[_position,_accuracy,_cost,time]]; + }; + }; + }; + }; + }; + }; + }; + If (_unit == leader group _unit) then + { + if (_unit != _npc) then + { + If (_side in _friendlySides) then + { + if (group _unit in UPSMON_NPCs) then + { + if (round ([getposATL (leader (group _unit)),_npcpos] call UPSMON_distancePosSqr) <= UPSMON_sharedist) then + { + if (count crew _unit > 0) then + { + if ((side driver _unit) in _friendlySides) then + { + _allies pushback (group _unit); + //[_position,"ColorBlue"] call fnc_createMarker; + }; + }; + }; + }; + }; + }; + }; + +} forEach _targets; + +//if (UPSMON_Debug>0) then {diag_log format ["Targets found by %1: %2",_npc,_enemies];}; + +_result = [_enemies,_allies,_suspectenies]; +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6098c5839e4285b63bb0951d666f7e8fc20d0b52 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/target/init.sqf @@ -0,0 +1,10 @@ + +UPSMON_findnearestenemy = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_findnearestenemy.sqf"; +UPSMON_ClassifyEnies = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_ClassifyEnies.sqf"; +UPSMON_Shareinfos = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_Shareinfos.sqf"; +UPSMON_TargetAcquisition = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_TargetAcquisition.sqf"; + +UPSMON_Checkratio = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_Checkratio.sqf"; +UPSMON_Eniesnear = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_Eniesnear.sqf"; + +UPSMON_TargetAcquisitionCiv = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\target\fnc\UPSMON_TargetAcquisitionCiv.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c5fb8b1bc633652da3305beaee2309aefd5c2bad --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/Init.sqf @@ -0,0 +1,3 @@ + +UPSMON_TerraCognita = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\terrain\fnc\UPSMON_TerraCognita.sqf"; +UPSMON_sample_terrain = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\terrain\fnc\UPSMON_sample_terrain.sqf"; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_TerraCognita.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_TerraCognita.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9881fef958d506f5d94db09f085579e7d856612e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_TerraCognita.sqf @@ -0,0 +1,70 @@ +/**************************************************************** +File: UPSMON_TerraCognita.sqf +Author: Rydgier + +****************************************************************/ + +private ["_position","_posX","_posY","_radius","_precision","_sourcesCount","_urban","_forest","_hills","_flat","_sea","_valS","_value","_val0","_samples","_sGr","_hprev","_hcurr","_samplePos","_i","_rds"]; + +_position = _this select 0; +_samples = _this select 1; +_rds = 100; +if ((count _this) > 2) then {_rds = _this select 2}; + +if !((typeName _position) == "ARRAY") then {_position = getPosATL _position}; + +_posX = _position select 0; +_posY = _position select 1; + +_radius = 5; +_precision = 1; +_sourcesCount = 1; + +_urban = 0; +_forest = 0; +_hills = 0; +_flat = 0; +_sea = 0; + +_sGr = 0; +_hprev = getTerrainHeightASL [_posX,_posY]; + +for "_i" from 1 to 10 do +{ + _samplePos = [_posX + ((random (_rds * 2)) - _rds),_posY + ((random (_rds * 2)) - _rds)]; + _hcurr = getTerrainHeightASL _samplePos; + _sGr = _sGr + abs (_hcurr - _hprev) +}; + +_sGr = _sGr/10; + +{ + _valS = 0; + + for "_i" from 1 to _samples do + { + _position = [_posX + (random (_rds/5)) - (_rds/10),_posY + (random (_rds/5)) - (_rds/10)]; + + + _value = selectBestPlaces [_position,_radius,_x,_precision,_sourcesCount]; + + _val0 = _value select 0; + _val0 = _val0 select 1; + + _valS = _valS + _val0; + }; + + _valS = _valS/_samples; + + switch (_x) do + { + case ("Houses") : {_urban = _urban + _valS}; + case ("Trees") : {_forest = _forest + (_valS/3)}; + case ("Forest") : {_forest = _forest + _valS}; + case ("Hills") : {_hills = _hills + _valS}; + case ("Meadow") : {_flat = _flat + _valS}; + case ("Sea") : {_sea = _sea + _valS}; + }; +} foreach ["Houses","Trees","Forest","Hills","Meadow","Sea"]; + +[_urban,_forest,_hills,_flat,_sea,_sGr] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_sample_terrain.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_sample_terrain.sqf new file mode 100644 index 0000000000000000000000000000000000000000..98cc6a54f4f55c033e6c86c99a6436ddc52072e1 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/terrain/fnc/UPSMON_sample_terrain.sqf @@ -0,0 +1,41 @@ +/**************************************************************** +File: UPSMON_sample_terrain.sqf +Author: Azroul13 + +Description: + Get the Type of the terrain that surrounding the position ("inhabited"/"forest"/"sea"/"coast"/"undefined") +Parameter(s): + <--- position +Returns: + Array [terrain type, value of the terrain] +****************************************************************/ + +private ["_sample", "_sampleValue", "_sampleType"]; + +_sample = selectBestPlaces [ + _this, // sample position + 30, // radius + "(1000 * houses) + (100 * forest) + (10 * trees) + (1 * meadow) - (1000 * sea)", // expression + 10, // precision + 1 // sourcesCount +]; + +if ((count _sample) < 1) exitWith +{ + ["undefined", 0] +}; + +_sampleValue = (_sample select 0) select 1; +_sampleType = "meadow"; + +switch (true) do +{ + case (_sampleValue > 200): { _sampleType = "inhabited"; }; + case (_sampleValue > 50): { _sampleType = "forest"; }; + case (_sampleValue < -992): { _sampleType = "sea"; }; + case (_sampleValue < 0): { _sampleType = "coast"; }; + case (_sampleValue == 0): { _sampleType = "undefined"; }; // out of map/end of world +}; + +// return sample +[_sampleType, _sampleValue] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_CreateSmokeCover.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_CreateSmokeCover.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f63d9a0dc31936753ca993dd7d836a0b89e8ebe6 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_CreateSmokeCover.sqf @@ -0,0 +1,64 @@ +/**************************************************************** +File: UPSMON_CreateSmokeCover.sqf +Author: Azroul13 + +Description: + Throw a grenade +Parameter(s): + +Returns: + +****************************************************************/ +private ["_target","_units","_i","_vehicle","_role","_mags"]; + +_units = _this select 0; +_targetpos = _this select 1; + +_i = 0; + +{ + if (_i >= 3) exitwith {}; + If (alive _x) then + { + If (vehicle _x == _x) then + { + If (!([_x] call UPSMON_InBuilding)) then + { + If ("SmokeShell" in (magazines _x)) then + { + If (_x getvariable ["UPSMON_Supstate",""] != "SUPRESSED") then + { + _targetpos = [(_targetpos select 0) + ((random 10) - (random 20)) , (_targetpos select 1) + ((random 10) - (random 15)),_targetpos select 2]; + [_x,_targetpos] spawn UPSMON_throw_grenade; + _i = _i + 1; + }; + }; + }; + } + else + { + _vehicle = vehicle _x; + If (getNumber (configFile >> "CfgVehicles" >> typeof _vehicle >> "gunnerHasFlares") > 0) then + { + _role = assignedVehicleRole _vehicle; + If (count _role > 1) then + { + _mags = _vehicle weaponsTurret (_role select 1); + _smoke = false; + { + If (_x == "SmokeLauncher") then + { + _smoke = true; + }; + } foreach _mags; + + If (_smoke) then + { + _i = 3; + [_vehicle] call UPSMON_DoSmokeScreen; + }; + }; + }; + }; + }; +} foreach _units; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DeployStatic.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DeployStatic.sqf new file mode 100644 index 0000000000000000000000000000000000000000..913bfdc4c53122b7ea7678ee445f8f9c63934763 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DeployStatic.sqf @@ -0,0 +1,42 @@ +/**************************************************************** +File: UPSMON_DeployStatic.sqf +Author: Azroul13 + +Description: + Check before deploying the static +Parameter(s): + +Returns: + +****************************************************************/ +private ["_grp","_currpos","_attackpos","_checkforstatic","_staticteam","_insideveh"]; + +_grp = _this select 0; +_currpos = _this select 1; +_attackpos = _this select 2; + +_checkforstatic = [_grp] call UPSMON_GetStaticTeam; +_staticteam = _checkforstatic select 0; +_weapon = _checkforstatic select 1; + +if (count _staticteam == 2) then +{ + _insideveh = false; + { + If (alive _x) exitwith + { + If (vehicle _x != _x) then + { + If (!_insideveh) then + { + _insideveh = true + }; + }; + }; + } foreach _staticteam; + + If (!_insideveh) then + { + [_staticteam select 0,_staticteam select 1,_currpos,_attackpos,_weapon] spawn UPSMON_Unpackbag; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Disableunitloop.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Disableunitloop.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c3b18ef072c025b3608a70e1d79611d8b2e87dfd --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Disableunitloop.sqf @@ -0,0 +1,18 @@ +/**************************************************************** + +****************************************************************/ +private["_unit"]; + +_unit = _this select 0; + +waituntil {IsNull _unit || !alive _unit || !IsNull ((group _unit) getvariable ["UPSMON_target",Objnull]) || _unit getvariable ["UPSMON_SUPSTATUS",""] != "" || _unit getvariable ["UPSMON_Wait",time] <= time}; + +if (!IsNull _unit) then +{ + If (alive _unit) then + { + [_unit,""] remoteExec ["switchMove"]; + _unit enableAI "MOVE"; + _unit setvariable ["UPSMON_Civdisable",false]; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoFireFlare.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoFireFlare.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ee9be60ae53acdb443b63dc3e8c7f40514d3cf2a --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoFireFlare.sqf @@ -0,0 +1,38 @@ +/**************************************************************** +File: UPSMON_DoFireFlare.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_unit","_muzzle","_munition","_target","_direction"]; + +_unit = _this select 0; +_muzzle = _this select 1; +_munition = _this select 2; +_targetpos = _this select 3; + +if (alive _unit) then +{ + _target = createVehicle ["UserTexture1m_F",[_targetpos select 0,_targetpos select 1,100], [], 0, "NONE"]; + _unit selectWeapon _muzzle; + [_unit,_targetpos,100] call UPSMON_DOwatch; + sleep 0.7; + _direction = [_unit, _target] call BIS_fnc_dirTo; + _unit setDir _direction; + _unit dotarget _target; + sleep 4; + [] spawn UPSMON_Flaretime; + sleep 1; + if (alive _unit) then + { + _unit fire [_muzzle, _muzzle, _munition]; + sleep 1; + _unit dowatch ObjNull; + }; + Deletevehicle _target; +}; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoRearm.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoRearm.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f9fb6f9e5f4300e688418f669ff868e8b4d2882b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoRearm.sqf @@ -0,0 +1,68 @@ +/**************************************************************** +File: UPSMON_getunits.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Array of units +Returns: + Array of units +****************************************************************/ + +private ["_unit","_magsneeded","_supply","_timeout"]; + +_unit = _this select 0; +_supply = (_this select 1) select 0; +_magsneeded = (_this select 1) select 1; + +_position = getposATL _supply; + +_supply setvariable ["UPSMON_Supplyuse",true]; +_unit setvariable ["UPSMON_Rearming",true]; + +Dostop _unit; +_unit Domove _position; +_unit setDestination [_position, "LEADER PLANNED", true]; +_unit forcespeed 100; + +_timeout = time + (1.4*((getposATL _unit) vectordistance _position)); + +waituntil {IsNull _unit || IsNull _supply || !alive _unit || !canmove _unit || (getposATL _unit) vectordistance _position <= 4|| time >= _timeout}; + +If (!IsNull _supply) then +{ + If (!IsNull _unit) then + { + If (alive _unit) then + { + If (canmove _unit) then + { + If ((getposATL _unit) vectordistance _position <= 4) then + { + { + _supply removeMagazineGlobal _x; + _unit addMagazineGlobal _x; + } foreach _magsneeded; + }; + }; + }; + }; +}; + +If (!IsNull _supply) then +{ + _supply setvariable ["UPSMON_Supplyuse",false]; +}; + +If (!IsNull _unit) then +{ + If (alive _unit) then + { + _unit setvariable ["UPSMON_Rearming",false]; + if (_unit != leader (group _unit)) then + { + _unit dofollow (leader (group _unit)) + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoSmokeScreen.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoSmokeScreen.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1cb4c02476d4748346da48ca7861b57b71620d35 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoSmokeScreen.sqf @@ -0,0 +1,18 @@ +/**************************************************************** +File: UPSMON_throw_grenade.sqf +Author: MONSADA + +Description: + Throw a grenade +Parameter(s): + +Returns: + +****************************************************************/ +private["_npc","_time"]; + +_npc = _this select 0; + +_npc fire "SmokeLauncher"; +_time = time + 20; +(group _npc) setvariable ["UPSMON_SmokeTime",_time]; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoSurrender.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoSurrender.sqf new file mode 100644 index 0000000000000000000000000000000000000000..655fc1a8889b90d1279be02e0ef485287f6cc990 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_DoSurrender.sqf @@ -0,0 +1,59 @@ +/**************************************************************** +File: UPSMON_surrended.sqf +Author: MONSADA + +Description: + Function to surrender AI soldier +Parameter(s): + +Returns: + +****************************************************************/ +private ["_npc","_vehicle"]; + +_npc = _this select 0; + +if (!alive _npc) exitwith {}; + +_npc addrating -1000; +_npc setcaptive true; +sleep 0.5; + +_vehicle = vehicle _npc; + +if ( _npc != _vehicle || !(_npc iskindof "Man" )) then +{ + _vehicle setcaptive true; + + if ( "Air" countType [_vehicle]>0) then + { + + //Si acaba de entrar en el heli se define punto de aterrizaje + if (_npc == driver _vehicle ) then + { + [_vehicle,getpos _vehicle] call UPSMON_MoveHeliback; + }; + } else { + [_transport,[_npc]] call UPSMON_UnitsGetOut; + }; + + //Esperamos a que est parado + waituntil {_npc == vehicle _npc || !alive _npc}; +}; + +if (!alive _npc) exitwith {}; +_npc setcaptive true; +_npc stop true; + +_npc setunitpos "UP"; +//If (_handweap != "") then {_npc action ["DropWeapon","GroundWeaponHolder" createVehicle getposATL _npc,handgunWeapon _npc];}; +_ground = createVehicle ["groundweaponholder", getposATL _npc, [], 0, "NONE"]; + +If (primaryweapon _npc != "") then {_ground addWeaponCargo [primaryweapon _npc,1];}; +If (secondaryWeapon _npc != "") then {_ground addWeaponCargo [secondaryWeapon _npc,1];}; +If (handgunWeapon _npc != "") then {_ground addWeaponCargo [handgunWeapon _npc,1];}; + +RemoveAllweapons _npc; + +sleep 1; +_npc playMoveNow "AmovPercMstpSnonWnonDnon_AmovPercMstpSsurWnonDnon"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_FireFlare.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_FireFlare.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9f9164262e1e6ffd978644652a75417f3949497f --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_FireFlare.sqf @@ -0,0 +1,81 @@ +/**************************************************************** +File: UPSMON_FireFlare.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_grp","_muzzle","_munition","_weapon","_muzzles","_cfg","_parents","_muns","_flaresclass"]; + +_grp = _this select 0; +_targetpos = _this select 1; + +_muzzle = ""; +_munition = ""; + +{ + If (alive _x) then + { + _unit = _x; + If (vehicle _unit == _unit) then + { + If (Unitready _unit) then + { + _weapon = primaryWeapon _unit; + If (_weapon != "") then + { + _muzzles = getArray(configFile>> "cfgWeapons" >> _weapon >> "muzzles"); + _continue = false; + { + if (_x != "this") then + { + _cfg = (configFile>> "cfgWeapons" >> _weapon >> _x); + _parents = [_cfg,true] call BIS_fnc_returnParents; + If ("UGL_F" in _parents) exitwith + { + _muzzle = _x; + _continue = true; + }; + }; + } foreach _muzzles; + + If (_continue) then + { + _muns = getarray (configFile>> "cfgWeapons" >> _weapon >> _muzzle >> "magazines"); + _flaresclass = []; + { + _ammo = tolower gettext (configFile>> "CfgMagazines" >> _x >> "ammo"); + _cfg = getnumber (configFile>> "CfgAmmo" >> _ammo >> "useFlare"); + + If (_cfg == 1) then + { + _flaresclass pushback _x; + }; + } foreach _muns; + + If (count _flaresclass > 0) then + { + _continue = false; + { + If (_x in (magazines _unit)) exitwith + { + _munition = _x; + _continue = true; + }; + } foreach _flaresclass; + + If (_continue) exitwith + { + [_unit,_muzzle,_munition,_targetpos] spawn UPSMON_DoFireFlare; + }; + }; + }; + }; + }; + } + } +} foreach units _grp; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_FireGun.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_FireGun.sqf new file mode 100644 index 0000000000000000000000000000000000000000..61d198fa845b2c6e851bc8e287ffda26f5411cbd --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_FireGun.sqf @@ -0,0 +1,75 @@ +/**************************************************************** +File: UPSMON_FireGun.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private ["_grp","_assignedvehicles","_target","_gunner","_vehicle","_mags","_ammo","_gun","_weapon","_targetpos"]; + +_grp = _this select 0; +_assignedvehicles = _this select 1; +_target = _this select 2; + +_gunner = ObjNull; +_munition = ""; + + +{ + If (alive _x) then + { + _vehicle = _x; + If (!(_vehicle iskindof "CAManBase")) then + { + If (!IsNull (gunner _vehicle)) then + { + If (alive (gunner _vehicle)) then + { + _mags = magazinesAmmo _vehicle; + _gun = false; + { + If (_x select 1 > 0) then + { + _ammo = tolower gettext (configFile >> "CfgMagazines" >> _x select 0 >> "ammo"); + If (_ammo iskindof "ShellBase") exitwith + { + _gun = true; + _munition = _x select 0; + }; + }; + } foreach _mags; + + If (_gun) then + { + _gunner = gunner _vehicle; + }; + }; + } + }; + }; +} foreach _assignedvehicles; + +if (!IsNull _gunner) then +{ + _weapon = (weapons (vehicle _gunner)) select 0; + _gunner selectWeapon _weapon; + _targetpos = getposATL _target; + [_gunner,_targetpos,1.5] call UPSMON_DOwatch; + sleep 2; + _gunner doTarget _target; + sleep 2; + if (alive _gunner) then + { + If ([_gunner,_target,1000,270] call UPSMON_HasLos) then + { + _grp setvariable ["UPSMON_GrpinAction",true]; + (vehicle _gunner) fire _weapon; + sleep 2; + _gunner dowatch ObjNull; + }; + }; +}; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Getmemberstype.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Getmemberstype.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d31e073a551b767f7c13ab914b2a337018395280 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Getmemberstype.sqf @@ -0,0 +1,46 @@ +/**************************************************************** +File: UPSMON_Getmemberstype.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- members of the group +Returns: + Array: [[],[]] +****************************************************************/ + +private ["_members","_vehicles","_equipment","_membertypes","_vehicletypes","_dirveh","_unitstype"]; + +_members = _this select 0; +_vehicles = []; +_membertypes = []; +_vehicletypes = []; + +//Fills member soldier types +{ + if (vehicle _x != _x ) then + { + if (!(vehicle _x in _vehicles)) then + { + _vehicles pushback (vehicle _x); + }; + }; + + _equipment = _x call UPSMON_getequipment; + //_membertypes = _membertypes + [[typeof _x,_equipment]]; + _membertypes pushback [typeof _x,_equipment,assignedVehicleRole _x]; +} foreach _members; + +//Fills member vehicle types +{ + _dirveh = getdir _x; + _unitsin = []; + + //_vehicletypes = _vehicletypes + [typeof _x,_dirveh,_unitsin]; + _vehicletypes pushback [typeof _x,_dirveh]; +} foreach _vehicles; + +_unitstype = [_membertypes,_vehicletypes]; +If (UPSMON_Debug > 0) then {Diag_log format ["Units Array:%1",_unitstype]}; +_unitstype \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Packbag.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Packbag.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bc1f92c05eeb8d75aaa55c5bbf23869be7f7d3a4 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Packbag.sqf @@ -0,0 +1,51 @@ +/**************************************************************** +File: UPSMON_Packbag.sqf +Author: Azroul13 + +Description: + Team dismounts static weapon +Parameter(s): + <--- Gunner + <--- Assistant + <--- Static to dismount +Returns: + Nothing +****************************************************************/ + +private["_gunner","_assistant","_weapon","_B_weapon","_B_tripod","_array","_position"]; + +_gunner = _this select 0; +_assistant = _this select 1; +_weapon = vehicle _gunner; + +_B_weapon = ""; +_B_tripod = ""; +_array = getarray (configFile >> "cfgVehicles" >> typeof _weapon >> "assembleInfo" >> "dissasembleTo"); +If (count _array > 0) then +{ + _B_weapon = _array select 0; + _B_tripod = _array select 1; +}; + +_position = position _weapon; +unassignVehicle _gunner; +_gunner action ["getOut", _weapon]; +doGetOut _gunner; +[_gunner] allowGetIn false; + + +sleep 0.5; +deletevehicle _weapon; +sleep 1; + +if (alive _gunner && alive _assistant) then +{ + if (_B_weapon != "" && _B_tripod != "") then + { + _gunner addBackpack _B_weapon; + _assistant addBackpack _B_tripod; + }; + sleep 1; + _assistant enableAI "move"; + _gunner enableAI "move"; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_PutMine.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_PutMine.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a1e61745ace97050c4545a07e39c62632090e3db --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_PutMine.sqf @@ -0,0 +1,83 @@ +/**************************************************************** +File: UPSMON_doCreateMine.sqf +Author: MONSADA + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private ["_minetype","_soldier","_position","_dir","_minesnbr"]; + +_soldier = _this select 0; +_grp = _this select 1; +_position = [(_this select 2) select 0,(_this select 2) select 1,0]; +_currPos = _this select 3; +_minemag = _this select 4; + +if (isnil "_soldier") exitWith {}; +_grp setvariable ["UPSMON_GrpinAction",true]; + +_minetype = ""; +switch (_minemag) do +{ + case "SLAMDirectionalMine_Wire_Mag": + { + _minetype = "SLAMDirectionalMine"; + }; + + case "ATMine_Range_Mag": + { + _minetype = "ATMine"; + }; +}; + +//If not is Man or dead exit +if (!alive _soldier || !canstand _soldier) exitwith {_grp setvariable ["UPSMON_GrpinAction",false];}; + + +_soldier domove _position; +_soldier disableAI "AUTOTARGET"; +_soldier disableAI "TARGET"; +_soldier setDestination [_position, "LEADER PLANNED", true]; + +if (!isnil "_soldier") then +{ + waituntil {unitReady _soldier || moveToCompleted _soldier || moveToFailed _soldier || !alive _soldier || !canstand _soldier || ((getposATL _soldier) vectordistance _position <= 5)} +}; + +if (moveToFailed _soldier || !alive _soldier || _soldier != vehicle _soldier || !canmove _soldier) exitwith {_grp setvariable ["UPSMON_GrpinAction",false];}; + +//Crouche +//_soldier playMove "ainvpknlmstpslaywrfldnon_1"; + +sleep 1; +if (isnil "_soldier") exitWith {_grp setvariable ["UPSMON_GrpinAction",false];}; +if (!alive _soldier || !canstand _soldier) exitwith {_grp setvariable ["UPSMON_GrpinAction",false];}; + + +_dir = getdir _soldier; +_minesnbr = {_x == _minemag} count (magazines _soldier); +[_minesnbr,_minetype,_minetype,_position,_dir,side _soldier] spawn UPSMON_spawnmines; + +//Remove magazines +for "_x" from 0 to _minesnbr do +{ + _soldier removeMagazineGlobal _minemag; +}; +//Prepare mine +//_soldier playMoveNow "AinvPknlMstpSlayWrflDnon_medic"; +sleep 1; + +if (alive _soldier) then +{ + _soldier Domove _currPos; + _soldier enableAI "AUTOTARGET"; + _soldier enableAI "TARGET"; +}; +//Return to formation +if (isnil "_soldier") exitWith {_grp setvariable ["UPSMON_GrpinAction",false];}; +_grp setvariable ["UPSMON_GrpinAction",false]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_PutSatchel.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_PutSatchel.sqf new file mode 100644 index 0000000000000000000000000000000000000000..3536d254951e0a31c7d0ca3c4397a5e8c7f00352 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_PutSatchel.sqf @@ -0,0 +1,82 @@ +/**************************************************************** +File: UPSMON_doCreateMine.sqf +Author: MONSADA + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ + +private ["_minetype","_soldier","_position","_currPos","_minemag"]; + +_soldier = _this select 0; +_grp = _this select 1; +_position = [(_this select 2) select 0,(_this select 2) select 1,0]; +_currPos = _this select 3; +_minemag = _this select 4; + +if (isnil "_soldier") exitWith {}; +_muzzle = ""; +switch (_minemag) do +{ + case "SatchelCharge_Remote_Mag": + { + _muzzle = "SatchelChargeMuzzle"; + }; + + case "DemoCharge_Remote_Mag": + { + _muzzle = "DemoChargeMuzzle"; + }; +}; + +//If not is Man or dead exit +if (!alive _soldier || !canstand _soldier) exitwith {}; + + +_soldier domove _position; +_soldier disableAI "AUTOTARGET"; +_soldier disableAI "TARGET"; +_soldier setDestination [_position, "LEADER PLANNED", true]; +_soldier forcespeed 100; +if (!isnil "_soldier") then +{ + waituntil {unitReady _soldier || moveToCompleted _soldier || moveToFailed _soldier || !alive _soldier || !canstand _soldier || ((getposATL _soldier) vectordistance _position <= 10)} +}; + +if (moveToFailed _soldier || !alive _soldier || _soldier != vehicle _soldier || !canmove _soldier) exitwith {}; + +//Crouche +//_soldier playMove "ainvpknlmstpslaywrfldnon_1"; + +sleep 0.5; +if (isnil "_soldier") exitWith {}; +if (!alive _soldier || !canstand _soldier) exitwith {}; + +_soldier playActionNow "PutDown"; +_soldier selectWeapon _muzzle; +_soldier fire [_muzzle, _muzzle, _minemag]; + +//Prepare mine +//_soldier playMoveNow "AinvPknlMstpSlayWrflDnon_medic"; +sleep 1; + +if (alive _soldier) then +{ + _soldier Domove _currPos; + waituntil {_position vectordistance (getposATL _soldier) >= 50 || !alive _soldier || !canmove _soldier}; + + If (alive _soldier) then + { + _soldier enableAI "AUTOTARGET"; + _soldier enableAI "TARGET"; + _soldier forcespeed -1; + _soldier action ["TOUCHOFF", _soldier]; + _soldier dofollow (leader (group _soldier)); + }; +}; +//Return to formation +if (isnil "_soldier") exitWith {}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_SetMinefield.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_SetMinefield.sqf new file mode 100644 index 0000000000000000000000000000000000000000..92d3e01626a50e21f1d70c186c1d82e589b6da7f --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_SetMinefield.sqf @@ -0,0 +1,60 @@ +/**************************************************************** +File: UPSMON_SetMinefield.sqf +Author: MONSADA + +Description: + Function to put a mine +Parameter(s): + <--- unit + <--- position where to put the mine + <--- Classname of the mine +Returns: + +****************************************************************/ +private ["_grp","_attackpos","_currPos","_ATmine","_Atunit","_dir1","_mineposition","_roads"]; + +_grp = _this select 0; +_attackpos = _this select 1; +_currPos = getposATL (leader _grp); + +If (UPSMON_useMines) then +{ + _ATmag = ObjNull; + _unit = ObjNull; + + { + If (alive _x) then + { + If (vehicle _x == _x) then + { + If (canstand _x) then + { + If ("ATMine_Range_Mag" in (magazines _x) || "SLAMDirectionalMine_Wire_Mag" in (magazines _x)) exitwith + { + If ("ATMine_Range_Mag" in (magazines _x)) then + { + _ATmag = "ATMine_Range_Mag"; + } + else + { + _ATmag = "SLAMDirectionalMine_Wire_Mag"; + }; + _Atunit = _x; + }; + }; + }; + }; + } foreach units _grp; + + If (!IsNull _unit) then + { + If ((random 100) < 40) then + { + _dir1 = [_currPos,_attackpos] call BIS_fnc_DirTo;; + _mineposition = [_currPos,_dir1, 30] call UPSMON_GetPos2D; + _roads = _mineposition nearroads 25; + if (count _roads > 0) then {_mineposition = getposATL (_roads select 0);}; + [_unit,_grp,_mineposition,_currPos,_ATmag] spawn UPSMON_PutMine; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_SetSatchel.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_SetSatchel.sqf new file mode 100644 index 0000000000000000000000000000000000000000..ed58819edab80bb1a0f8af8e1178ccfa71ef6c8d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_SetSatchel.sqf @@ -0,0 +1,65 @@ +/**************************************************************** +File: UPSMON_SetMinefield.sqf +Author: MONSADA + +Description: + Function to put a mine +Parameter(s): + <--- unit + <--- position where to put the mine + <--- Classname of the mine +Returns: + +****************************************************************/ +private ["_grp","_attackpos","_currPos","_ATmine","_Atunit","_dir1","_mineposition","_roads","_units"]; + +_grp = _this select 0; +_attackpos = _this select 1; +_currPos = getposATL (leader _grp); + +_grp setvariable ["UPSMON_GrpinAction",true]; + +If (UPSMON_useMines) then +{ + _Satchelmag = ObjNull; + _unit = ObjNull; + + { + If (alive _x) then + { + If (vehicle _x == _x) then + { + If (canstand _x) then + { + If ("SatchelCharge_Remote_Mag" in (magazines _x) || "DemoCharge_Remote_Mag" in (magazines _x)) exitwith + { + If ("SatchelCharge_Remote_Mag" in (magazines _x)) then + { + _Satchelmag = "SatchelCharge_Remote_Mag"; + } + else + { + _Satchelmag = "DemoCharge_Remote_Mag"; + }; + + _unit = _x; + }; + }; + }; + }; + } foreach units _grp; + + _units = units _grp - [_unit]; + + If (!IsNull _unit) then + { + If ((random 100) < 40) then + { + _nosmoke = [_grp] call UPSMON_NOSMOKE; + If (!_nosmoke) then {[_units,_attackpos] call UPSMON_CreateSmokeCover;}; + [_unit,_grp,_attackpos,_currPos,_Satchelmag] call UPSMON_PutSatchel; + }; + }; +}; + +_grp setvariable ["UPSMON_GrpinAction",false]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Unpackbag.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Unpackbag.sqf new file mode 100644 index 0000000000000000000000000000000000000000..32c2a157787a714011047b9cf1edc16b449cd490 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Unpackbag.sqf @@ -0,0 +1,70 @@ +/**************************************************************** +File: UPSMON_Unpackbag.sqf +Author: Azroul13 + +Description: + Units mounts static weapon +Parameter(s): + <--- Gunner + <--- Assistant + <--- Position where teams mount static + <--- Position where teams points the static +Returns: + Nothing +****************************************************************/ + +private["_gunner","_assistant","_position","_targetPos","_weapontype","_group","_weapon","_dirTo"]; + +_gunner = _this select 0; +_assistant = _this select 1; +_position = _this select 2; +_targetPos = _this select 3; +_weapontype = _this select 4; +_group = group _gunner; +_group setvariable ["UPSMON_GrpinAction",true]; + +{ + Dostop _x; + sleep 0.1; + _x doMove _position; + _x forcespeed 100; + _x commandmove _position; + _x setDestination [_position, "LEADER DIRECT",false]; + _x disableAI "AUTOTARGET"; + _x disableAI "TARGET"; +} forEach [_gunner,_assistant]; + + +waitUntil {unitReady _gunner || !alive _gunner || !canmove _gunner}; +If (!alive _gunner || !canmove _gunner) exitwith {}; +waitUntil {unitReady _assistant || !alive _assistant || !canmove _assistant}; +If (!alive _assistant || !canmove _assistant) exitwith {}; + + +if (alive _gunner && alive _assistant) then +{ + { + _x disableAI "MOVE"; + _x playActionNow "PutDown"; + RemoveBackpack _x; + } forEach [_gunner,_assistant]; + + //_weapon = "_weapontype" createVehicle [_weapontype,_position, [], 0, "NONE"]; + _weapon = _weapontype createVehicle _position; + sleep 0.05; + _dirTo = [getposATL _weapon,_targetPos] call BIS_fnc_dirTo; + _weapon setDir _dirTo; + sleep 2; + _gunner assignAsGunner _weapon; + _gunner moveInGunner _weapon; + + { + _x enableAI "AUTOTARGET"; + _x enableAI "TARGET"; + _x forcespeed -1; + } forEach [_gunner,_assistant]; + sleep 3; + _gunner commandWatch _targetPos; +}; + +_group setvariable ["UPSMON_GrpinAction",false]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Watchbino.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Watchbino.sqf new file mode 100644 index 0000000000000000000000000000000000000000..26ec1857afa3471b5ff146c3222efe37c870a738 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_Watchbino.sqf @@ -0,0 +1,69 @@ +/**************************************************************** +File: UPSMON_Watchbino.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- Array of units +Returns: + Array of units +****************************************************************/ + +private ["_npc","_hasbinocular","_timeout","_colorstatus","_dir","_dirpos"]; +_npc = _this select 0; +_lookingpos = _this select 1; + +_dir1 =[getposATL _npc, _lookingpos] call BIS_fnc_DirTo; + +If (!IsNull _npc) then +{ + If (alive _npc) then + { + + If (vehicle _npc == _npc) then + { + _hasbinocular = {_x == "Binocular"} count (weapons _npc); + If (count _hasbinocular > 0) then + { + _timeout = time + 15; + sleep 0.5; + _npc selectWeapon "Binocular"; + //_colorstatus = ((group _npc) getvariable "UPSMON_Grpstatus") select 1; + while {_timeout > time && alive _npc} do + { + _npc enableAI "anim"; + sleep 1; + //_colorstatus = ((group _npc) getvariable "UPSMON_Grpstatus") select 1; + If (!alive _npc) exitwith {}; + _dir2 = [(_dir1 + (random 70)),(_dir1 + ((random 100) + 190))] select (floor (random 2)); + _dirpos = [getposATL _npc,_dir2, 200] call UPSMON_GetPos2D; + [_npc,_dirpos] call UPSMON_dowatch; + sleep 0.7; + _unit setDir _dir2; + If (!alive _npc) exitwith {}; + _npc disableAI "anim"; + _npc dowatch objnull; + }; + If (alive _npc) then {_npc lookat objNull;_npc enableAI "anim";_npc selectWeapon ((weapons _npc) select 0);}; + }; + } + else + { + _timeout = time + 15; + + while {_timeout > time && alive _npc} do + { + sleep 1; + //_colorstatus = ((group _npc) getvariable "UPSMON_Grpstatus") select 1; + If (!alive _npc) exitwith {}; + _dir2 = [(_dir1 + (random 70)),(_dir1 + ((random 100) + 190))] select (floor (random 2)); + _dirpos = [getposATL _npc,_dir2, 200] call UPSMON_GetPos2D; + [_npc,_dirpos] call UPSMON_dowatch; + sleep 1; + If (!alive _npc) exitwith {}; + _npc dowatch objnull; + }; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_addequipment.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_addequipment.sqf new file mode 100644 index 0000000000000000000000000000000000000000..830077eb94fd3c4a319bec168c88e2b301e3d3bb --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_addequipment.sqf @@ -0,0 +1,77 @@ +/**************************************************************** +File: UPSMON_addequipment.sqf +Author: Azroul13 + +Description: + Add the equipment collected from UPSMON_getequipment function +Parameter(s): + <--- unit +Returns: + Nothing +****************************************************************/ +private ["_unit","_clonearray","_uniform","_headgear","_vest","_classbag","_itemsunit","_assigneditems","_allmag","_weaponsunit","_array1","_array2","_index","_magazineName","_count","_weapon","_item","_item1","_item2","_item3","_magweapon1","_magweapon2"]; +_unit = _this select 0; + +_clonearray = _this select 1; +_uniform = _clonearray select 0; +_headgear = _clonearray select 1; +_vest = _clonearray select 2; +_classbag = _clonearray select 3; +_itemsunit = _clonearray select 4; +_assigneditems = _clonearray select 5; +_allmag = _clonearray select 6; +_weaponsunit = _clonearray select 7; + + +removeAllAssignedItems _unit; +removeHeadgear _unit; +removeAllItemsWithMagazines _unit; +removeAllWeapons _unit; +removeAllContainers _unit; + +If (_uniform != "") then {_unit addUniform _uniform;}; +If (_vest != "") then {_unit addVest _vest;}; +If (_headgear != "") then {_unit addHeadgear _headgear;}; +If (_classbag != "") then {_unit addBackpack _classbag;}; + +{ + _unit addItem _x; +} foreach _itemsunit; + +{ + _unit addItem _x; + _unit assignItem _x; +} foreach _assigneditems; + +{ + If (count _x > 0) then + { + _array1 = _x select 0; + _array2 = _x select 1; + _index = -1; + { + _index = _index + 1; + _magazineName = _x; + _count = _array2 select _index; + _unit addMagazines [_magazineName, _count]; + } foreach _array1; + }; +} foreach _allmag; + +_index = -1; + +{ + _index = _index + 1; + If (count _x > 0) then + { + _weapon = _x select 0; + _items = _x select 1; + _magweapon = _x select 2; + + if (_index == 0) then {{_item = _x; If (_item != "") then {_unit addPrimaryWeaponItem _item;}} foreach _items;}; + if (_index == 2) then {{_item = _x; If (_item != "") then {_unit addHandgunItem _item;}} foreach _items;}; + + _unit addMagazineGlobal _magweapon; + _unit addWeaponGlobal _weapon; + }; +} foreach _weaponsunit; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_cancelstop.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_cancelstop.sqf new file mode 100644 index 0000000000000000000000000000000000000000..3035aca54a7b625f5c78603c318bdf35c0503148 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_cancelstop.sqf @@ -0,0 +1,15 @@ +/**************************************************************** +File: UPSMON_cancelstop.sqf +Author: MONSADA + +Description: + Funcin que detiene al soldado y lo hace esperar x segundos +Parameter(s): + +Returns: + +****************************************************************/ +private["_npc"]; + +_npc = _this select 0; +_npc stop false; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_deadbodies.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_deadbodies.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bf3f66b21f16d34527f201b05bf4265861cc718c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_deadbodies.sqf @@ -0,0 +1,35 @@ +/**************************************************************** +File: UPSMON_deadbodies.sqf +Author: Monsada + +Description: + Funcin que devuelve un array con los vehiculos terrestres ms cercanos +Parameter(s): + <--- object for position search + <--- max distance from npc +Returns: + ---> _vehicles: array of vehiclesnetid object +****************************************************************/ +private["_vehicles","_npc","_bodies","_OCercanos","_distance","_side"]; + +_npc = _this select 0; +_distance = _this select 1; + +_OCercanos = []; +_bodies = objNull; + +//Buscamos objetos cercanos +_OCercanos = nearestObjects [_npc,["Man"],_distance]; + +{ + if (!alive _x) then + { + if ([_npc,_x,_distance,130] call UPSMON_Haslos) exitwith + { + _bodies = _x; + _bodies + }; + }; +}foreach _OCercanos; + +_bodies; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_doStop.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_doStop.sqf new file mode 100644 index 0000000000000000000000000000000000000000..49ce97764d725e69cf2b647584ae39ed7d723ff0 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_doStop.sqf @@ -0,0 +1,33 @@ +/**************************************************************** +File: UPSMON_doStop.sqf +Author: MONSADA + +Description: + Funcin que detiene al soldado y lo hace esperar x segundos +Parameter(s): + <--- unit + <--- Wait time +Returns: + +****************************************************************/ +private["_sleep","_npc"]; + +_npc = _this select 0; +_sleep = _this select 1; + +sleep 0.05; +if (!alive _npc || !canmove _npc ) exitwith{}; +if ( _sleep == 0 ) then {_sleep = 0.1}; + +//Restauramos valores por defecto de movimiento +if (((group _npc) getvariable "UPSMON_Grpstatus") select 0 == "FORTIFY") then +{ + dostop _npc ; + _npc disableAI "TARGET"; +} +else +{ + dostop _npc ; + sleep _sleep; + [_npc] spawn UPSMON_cancelstop; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_domove.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_domove.sqf new file mode 100644 index 0000000000000000000000000000000000000000..508c8229a04387b7f1a73f38a92633a29726469d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_domove.sqf @@ -0,0 +1,31 @@ +/**************************************************************** +File: UPSMON_domove.sqf +Author: MONSADA + +Description: + Mueve al soldado adelante +Parameter(s): + <--- unit + <--- Distance +Returns: + nothing +****************************************************************/ +private["_npc","_dir1","_targetPos","_dist"]; + +_npc = _this select 0; +_dist = _this select 1; +if ((count _this) > 2) then {_dir1 = _this select 2;} else{_dir1 = getDir _npc;}; + +sleep 0.05; +if (!alive _npc || !canmove _npc ) exitwith{}; + +_targetPos = [position _npc,_dir1, _dist] call UPSMON_GetPos2D; +//If position water and not boat, plane nor diver no go + +if (surfaceIsWater _targetPos && { !( _npc iskindof "boat" || _npc iskindof "air" || ["diver", (typeOf (leader _npc))] call BIS_fnc_inString ) } ) exitwith +{ + if (UPSMON_Debug>0) then { + diag_log format ["UPSMON 'UPSMON_domove' exit: targetPos is water: [%1] - [%2] - [%3]", _npc iskindof 'boat', _npc iskindof 'air', ['diver', (typeOf (leader _npc))] call BIS_fnc_inString]; + }; +}; +_npc doMove _targetPos; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_dowatch.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_dowatch.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d474c5b09ab02dfc2841d0ad7b3a54450643054e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_dowatch.sqf @@ -0,0 +1,32 @@ +/**************************************************************** +File: UPSMON_dowatch.sqf +Author: MONSADA + +Description: + Funcin para mirar en una direccin +Parameter(s): + <--- Unit + <--- Position to watch +Returns: + +****************************************************************/ +private["_target","_npc","_height"]; + +_npc = _this select 0; +_target = _this select 1; +_height = 1; +If (count _this > 2) then {_height = _this select 2}; + +If (typename _target == "ARRAY") then +{ + _target = [(_this select 1) select 0,(_this select 1) select 1,_height]; +} +else +{ + _target = getposATL _target; + _target set [2,_height]; +}; + +if (!alive _npc) exitwith{}; +_npc doWatch ObjNull; +_npc doWatch _target; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_firing.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_firing.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9f4d7e8f7b148dc806a411b1bf2fc2fd46a22239 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/fnc/UPSMON_firing.sqf @@ -0,0 +1,38 @@ +/**************************************************************** +File: UPSMON_DoFireFlare.sqf +Author: Azroul13 + +Description: + +Parameter(s): + +Returns: + +****************************************************************/ +private["_unit","_muzzle","_munition","_target"]; + +_unit = _this select 0; +_target = _this select 1; + +if (alive _unit) then +{ + _targetpos = getposATL _target; + _target = createVehicle ["UserTexture1m_F",[_targetpos select 0,_targetpos select 1,5], [], 0, "NONE"];; + _weapon = primaryweapon _unit; + _unit selectWeapon _weapon; + [_unit,_targetpos,1.5] call UPSMON_DOwatch; + sleep 2; + _unit doTarget _target; + sleep 8; + if (alive _unit) then + { + _ammo = _unit ammo _weapon; + _unit setAmmo [_weapon, 10]; + _unit forceWeaponFire [_weapon, "FullAuto"]; + _unit setAmmo [_weapon, _ammo]; + sleep 1; + _unit dowatch ObjNull; + _unit doTarget ObjNull; + }; + Deletevehicle _target; +}; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..b381e60d87be0fca9181661a4e667f176f90914b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/unit/init.sqf @@ -0,0 +1,33 @@ + +UPSMON_Getmemberstype = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Getmemberstype.sqf"; +UPSMON_getequipment = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_getequipment.sqf"; +UPSMON_addequipment = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_addequipment.sqf"; + +UPSMON_deadbodies = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_deadbodies.sqf"; + +UPSMON_SetMinefield = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_SetMinefield.sqf"; +UPSMON_PutMine = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_PutMine.sqf"; +UPSMON_PutSatchel = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_PutSatchel.sqf"; +UPSMON_SetSatchel = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_SetSatchel.sqf"; + +UPSMON_DeployStatic = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DeployStatic.sqf"; +UPSMON_Unpackbag = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Unpackbag.sqf"; +UPSMON_Packbag = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Packbag.sqf"; + +UPSMON_Surrended = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Surrended.sqf"; +UPSMON_DoSurrender = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DoSurrender.sqf"; + +UPSMON_dowatch = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_dowatch.sqf"; + +UPSMON_CreateSmokeCover = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_CreateSmokeCover.sqf"; +UPSMON_throw_grenade = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_throw_grenade.sqf"; +UPSMON_DoSmokeScreen = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DoSmokeScreen.sqf"; +UPSMON_throw_stone = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_throw_stone.sqf"; + +UPSMON_FireFlare = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_FireFlare.sqf"; +UPSMON_DoFireFlare = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DoFireFlare.sqf"; +UPSMON_FireGun = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_FireGun.sqf"; +UPSMON_firing = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_firing.sqf"; + +UPSMON_Rearm = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_Rearm.sqf"; +UPSMON_DoRearm = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\unit\fnc\UPSMON_DoRearm.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..0d3f53699ad57969f56735ff7e96db60aaa8c485 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/Init.sqf @@ -0,0 +1,17 @@ +UPSMON_FN_unitsInCargo = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_FN_unitsInCargo.sqf"; +UPSMON_Fn_Gunnercrew = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_Fn_Gunnercrew.sqf"; +UPSMON_GetIn_NearestVehicles = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_GetIn_NearestVehicles.sqf"; +UPSMON_GetNearestVehicles = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_GetNearestVehicles.sqf"; +UPSMON_selectvehicles = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_selectvehicles.sqf"; +UPSMON_GetNeareststatics = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_GetNeareststatics.sqf"; + +UPSMON_UnitsGetIn = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_UnitsGetIn.sqf"; +UPSMON_UnitsGetout = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_UnitsGetout.sqf"; +UPSMON_EjectUnits = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_EjectUnits.sqf"; +UPSMON_assignasrole = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_assignasrole.sqf"; +UPSMON_Allowgetin = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_Allowgetin.sqf"; +UPSMON_avoidDissembark = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_avoidDissembark.sqf"; +UPSMON_fnc_commonTurrets = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_fnc_commonTurrets.sqf"; +UPSMON_Emptyturret = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_Emptyturret.sqf"; + +UPSMON_Checkvehiclesstatus = compile preProcessFileLineNumbers "Scripts\UPSMON\COMMON\vehicles\fnc\UPSMON_Checkvehiclesstatus.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Allowgetin.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Allowgetin.sqf new file mode 100644 index 0000000000000000000000000000000000000000..5cc11af88892522240c5d27761af30da2c9816ab --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Allowgetin.sqf @@ -0,0 +1,12 @@ +/**************************************************************** +File: UPSMON_Allowgetin.sqf +Author: MONSADA + +Description: + Allow unit to move in vehicle +Parameter(s): + <--- unit +Returns: + Nothing +****************************************************************/ +[_this] allowGetIn true; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Checkvehiclesstatus.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Checkvehiclesstatus.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6036db68affa97360a622e6a228148271bb6dce9 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Checkvehiclesstatus.sqf @@ -0,0 +1,64 @@ +/**************************************************************** +File: UPSMON_checkleaveVehicle.sqf +Author: MONSADA + +Description: + If every on is outside, make sure driver can move +Parameter(s): + <--- leader + <--- vehicle + <--- driver +Returns: + Nothing +****************************************************************/ +private["_assignedvehicle","_vehiclesneedsupply","_fuel","_damage","_magazinescount","_weapon","_basepos","_air","_mags"]; +_assignedvehicle = _this select 0; + +_vehiclesneedsupply = []; +_supplyneeded = []; + +{ + If (alive _x) then + { + If (canmove _x) then + { + If (!(vehicle _x in _vehiclesneedsupply)) then + { + _fuel = fuel (vehicle _x); + _damage = damage (vehicle _x); + _magazinescount = 100; + + if (!IsNull (Gunner (vehicle _x))) then + { + _magazinescount = 0; + _mags = magazinesAmmo (vehicle _x); + { + _magazinescount = _magazinescount + (_x select 1); + } foreach _mags; + _supplyneeded pushback "munition"; + }; + _enoughfuel = true; + _fuelneeded = 0.3; + + If ((vehicle _x) iskindof "AIR") then + { + _dist = (getposATL _x) vectordistance ((_grp getvariable ["UPSMON_Origin",[]]) select 0); + _fuelneeded = ((0.000537*_dist) / 100) + 0.0005; + _supplyneeded pushback "fuel"; + }; + + If (_damage > 0.5) then {_supplyneeded pushback "repair";}; + If (_fuel <= _fuelneeded) then {_supplyneeded pushback "fuel";}; + + If (_damage > 0.5 || (_fuel <= _fuelneeded && !(vehicle _x iskindof "STATICWEAPON")) || _magazinescount <= 2) then + { + _vehiclesneedsupply pushback _x; + }; + }; + }; + }; +} foreach _assignedvehicle; + +_grp setvariable ["UPSMON_Supplyneeded",_supplyneeded]; + +_vehiclesneedsupply; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_EjectUnits.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_EjectUnits.sqf new file mode 100644 index 0000000000000000000000000000000000000000..b2b8641dd7c0c46c4fc4e34afe13b305149c55aa --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_EjectUnits.sqf @@ -0,0 +1,28 @@ +/**************************************************************** +File: UPSMON_EjectUnits.sqf +Author: Azroul13 + +Description: + Make unit leave the vehicle +Parameter(s): + <--- vehicle + <--- Units +Returns: + +****************************************************************/ +private["_transport","_units","_chute"]; + +_transport = _this select 0; +_units = _this select 1; + +{ + _x disableCollisionWith _transport; + unassignVehicle _x; + _x action ["EJECT", _transport]; + [_x] allowGetIn false; + sleep 0.25; + _chute = createVehicle ["NonSteerable_Parachute_F", (getPosATL _x), [], 0, "NONE"]; + _chute setPos (getPosATL _x); + _x moveinDriver _chute; + sleep 0.1; +} forEach _units; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Emptyturret.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Emptyturret.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d5085d258ea4cedda002aba7c223f84ed3dcd4e5 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Emptyturret.sqf @@ -0,0 +1,23 @@ +/**************************************************************** +File: UPSMON_Emptyturret.sqf +Author: Azroul13 + +Description: + Get number of empty turret +Parameter(s): + <--- vehicle +Returns: + number +****************************************************************/ + +private ["_turretpath","_number"]; + +_turretpath = _this call UPSMON_fnc_commonTurrets; + +_number = 0; + +{ + If (IsNull (_this turretUnit _x)) then {_number = _number + 1;}; +} foreach _turretpath; + +_number diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_FN_unitsInCargo.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_FN_unitsInCargo.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bc2d9538e4afdbc59b0d538d54d45777aa96ab70 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_FN_unitsInCargo.sqf @@ -0,0 +1,23 @@ +/**************************************************************** +File: UPSMON_FN_unitsInCargo.sqf +Author: Rafalsky + +Description: + Return all units in cargo +Parameter(s): + <--- vehicle +Returns: + array of units in cargo of the vehicle (in vehicle and assigned as cargo) +****************************************************************/ +private ["_vehicle","_x","_unitsInCargo"]; + +_vehicle = _this select 0; +_unitsInCargo = []; +{ + if( (assignedVehicleRole _x) select 0 == "Cargo") then + { + _unitsInCargo pushback _x; + }; +} forEach crew _vehicle; + +_unitsInCargo \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Fn_Gunnercrew.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Fn_Gunnercrew.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a3e71c2d656202ce79ef240df8f10f0aad3d7300 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Fn_Gunnercrew.sqf @@ -0,0 +1,23 @@ +/**************************************************************** +File: UPSMON_Fn_Gunnercrew.sqf +Author: Rafalsky + +Description: + Return all units in turret +Parameter(s): + <--- vehicle +Returns: + array of units in turret of the vehicle (in vehicle and assigned as turret) +****************************************************************/ +private ["_vehicle","_x","_unitsInturret"]; + +_vehicle = _this select 0; +_unitsInturret = []; +{ + if( (assignedVehicleRole _x) select 0 == "TURRET") then + { + _unitsInturret pushback _x; + }; +} forEach crew _vehicle; + +_unitsInturret \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_GetIn_NearestVehicles.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_GetIn_NearestVehicles.sqf new file mode 100644 index 0000000000000000000000000000000000000000..be0d9b0c04f920ec31c0fcab1b230e238691fd81 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_GetIn_NearestVehicles.sqf @@ -0,0 +1,49 @@ +/**************************************************************** +File: UPSMON_GetIn_NearestVehicles.sqf +Author: Azroul13 + +Description: + Funcin que busca vehiculos cercanos y hace entrar a las unidades del lider +Parameter(s): + <--- Leader + <--- Types of vehicle the group must search + <--- Radius of research + <--- Do the unit needs to be spawn in the vehicle + <--- Is there a area the unit must search in +Returns: + Array of units moving to vehicle +****************************************************************/ +private["_npc","_types","_area","_spawn","_marker","_vehicles","_unitsmoveIn","_unitsIn","_vehicletypearray"]; + +_npc = _this select 0; +_types = _this select 1; +_area = _this select 2; +_spawn = false; +_marker = ""; +If (count _this > 3) then {_spawn = _this select 3}; +If (count _this > 4) then {_marker = _this select 4}; + +_grpid = (group _npc) getvariable ["UPSMON_grpid",0]; + + +_validunits = [units _npc] call UPSMON_Getunits; +_unitsIn = _validunits; +if ( (count _validunits) > 0) then +{ + _vehicles = []; + if ("static" in _types) then + { + _vehicles = [_npc,_area,_marker] call UPSMON_GetNeareststatics; + If (_npc in _validunits) then + { + _validunits = _validunits - [_npc]; + _validunits pushback _npc; + }; + }; + If !("static" in _types) then {_vehicles = [_npc,_types,_area,_marker] call UPSMON_GetNearestvehicles;}; + + _unitsIn = [_validunits,_vehicles,_spawn] call UPSMON_selectvehicles; +}; +sleep 0.01; + +_unitsIn; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_GetNearestStatics.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_GetNearestStatics.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6f547810242376e1d9455c42668d79839ac6319d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_GetNearestStatics.sqf @@ -0,0 +1,63 @@ +/**************************************************************** +File: UPSMON_GetNearestCombat.sqf +Author: Azroul13 + +Description: + Funcin que busca vehiculos cercanos y hace entrar a las unidades del lider +Parameter(s): + <--- leader + <--- Vehicle types + <--- Searching radius +Returns: + Array vehicles [[vehicles,emptypositions]] +****************************************************************/ +private["_npc","_distance","_marker","_OCercanos","_emptypositions","_vehicles","_isuav","_inzone"]; + +_npc = _this select 0; +_distance = _this select 1; +_marker = _this select 2; + +_OCercanos = []; +_emptypositions = 0; +_vehicles = []; +_Cargocount = 0; +_Gunnercount = 0; +_Commandercount = 0; +_Drivercount = 0; + +//Buscamos objetos cercanos +_OCercanos = _npc nearentities [["StaticWeapon"], _distance]; + +{ + _isuav = getnumber (configFile >> "cfgVehicles" >> (typeOf (_x)) >> "isUav"); + if (_isuav != 1) then + { + _inzone = true; + _emptypositions = _x call UPSMON_Emptyturret; + + If (_marker != "") then + { + _inzone = [getposATL _x,_marker] call UPSMON_pos_fnc_isBlacklisted; + }; + + //ToDo check impact (locked _x != 2) + if (locked _x == 1 || locked _x == 0 || locked _x == 3) then + { + If (damage _x == 0) then + { + If (canMove _x) then + { + If (_emptypositions > 0) then + { + If (_inzone) then + { + _vehicles pushback [_x,_emptypositions]; + }; + }; + } + }; + }; + }; +}foreach _OCercanos; + +_vehicles; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_GetNearestVehicles.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_GetNearestVehicles.sqf new file mode 100644 index 0000000000000000000000000000000000000000..60ae923d0b77adb2b5f20f8d4f759162c64c2a4a --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_GetNearestVehicles.sqf @@ -0,0 +1,83 @@ +/**************************************************************** +File: UPSMON_GetNearestCombat.sqf +Author: Azroul13 + +Description: + Funcin que busca vehiculos cercanos y hace entrar a las unidades del lider +Parameter(s): + <--- leader + <--- Vehicle types + <--- Searching radius +Returns: + Array vehicles [[vehicles,emptypositions]] +****************************************************************/ +private["_npc","_vehtypes","_distance","_types","_marker","_OCercanos","_emptypositions","_vehicles","_Cargocount","_Gunnercount","_Commandercount","_Drivercount","_isuav","_inzone"]; + +_npc = _this select 0; +_types = _this select 1; +_distance = _this select 2; +_marker = _this select 3; + +_OCercanos = []; +_emptypositions = 0; +_vehicles = []; +_Cargocount = 0; +_Gunnercount = 0; +_Commandercount = 0; +_Drivercount = 0; + +//Buscamos objetos cercanos +_OCercanos = _npc nearentities [["CAR","TANK","SHIP","HELICOPTER"], _distance]; + +{ + _isuav = getnumber (configFile >> "cfgVehicles" >> (typeOf (_x)) >> "isUav"); + if (_isuav != 1) then + { + _points = 0; + _inzone = true; + _Cargocount = (_x) emptyPositions "Cargo"; + + _Gunnercount = _x call UPSMON_Emptyturret; + _Drivercount = (_x) emptyPositions "Driver"; + _Commandercount = (_x) emptyPositions "Commander"; + + _emptypositions = _Cargocount + _Gunnercount + _Commandercount + _Drivercount; + + _points = _points + _emptypositions; + + If (_marker != "") then + { + _inzone = [getposATL _x,_marker] call UPSMON_pos_fnc_isBlacklisted; + }; + + If ("transport" in _types && _Cargocount == 0) then {_points = _points + 100}; + If ("gun" in _types && _Gunnercount == 0) then {_points = _points + 50}; + + //ToDo check impact (locked _x != 2) + If (getposATL _x select 2 <= 0.5) then + { + if (locked _x == 1 || locked _x == 0 || locked _x == 3) then + { + If (damage _x == 0) then + { + If (canMove _x) then + { + If (_drivercount > 0) then + { + If (_x getvariable ["UPSMON_GrpId",0] == 0) then + { + If (_inzone) then + { + _vehicles pushback [_x,_emptypositions,_points]; + }; + }; + }; + } + }; + }; + }; + }; +}foreach _OCercanos; + +_vehicles = [_vehicles, [], {_x select 2}, "DESCEND"] call BIS_fnc_sortBy; +_vehicles; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Gunnercontrol.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Gunnercontrol.sqf new file mode 100644 index 0000000000000000000000000000000000000000..61c3045bca3a5a4903511981a6815d104e3b0477 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_Gunnercontrol.sqf @@ -0,0 +1,66 @@ +/**************************************************************** +File: UPSMON_Gunnercontrol.sqf +Author: MONSADA + +Description: + Function that checks is gunner is alive, if not moves a cargo +Parameter(s): + <--- vehicle +Returns: + Nothing +****************************************************************/ +private["_vehicle","_gunnercontrol","_hasgunner","_crew","_crew2"]; +_vehicle = _this select 0; + +_gunnercontrol = false; +_hasgunner = (_vehicle) emptyPositions "Gunner" > 0 || !isnull gunner _vehicle; +_crew = []; +_crew2 = []; //Without driver and gunner + +sleep 0.05; +if ( !alive _vehicle || !canmove _vehicle ) exitwith{}; + +//Checks stuckcontrol not active +_gunnercontrol = _vehicle getVariable "UPSMON_gunnercontrol"; +if (isnil ("_gunnercontrol")) then {_gunnercontrol=false}; +if (_gunnercontrol) exitwith {}; + +_vehicle setVariable ["UPSMON_gunnercontrol", true, false]; + +_crew = crew _vehicle; +//gunner and driver loop control +while { alive _vehicle && canmove _vehicle && count _crew > 0} do +{ + _crew = crew _vehicle; + { + if (!canmove _x || !alive _x) then {_crew = _crew -[_x];}; + }foreach _crew; + + //Driver control + if ((isnull (driver _vehicle) || !alive (driver _vehicle) || !canmove (driver _vehicle)) && count _crew > 0) then + { + _crew2 = _crew - [gunner _vehicle]; + if (count _crew2 > 0) then + { + (_crew2 select (count _crew2 - 1)) spawn UPSMON_movetodriver; + }; + }; + + //Gunner control + if ( _hasgunner && (isnull (gunner _vehicle) || !alive (gunner _vehicle) || !canmove (gunner _vehicle)) && count _crew > 1) then + { + _crew2 = _crew - [driver _vehicle]; + if (count _crew2 > 0) then + { + (_crew2 select (count _crew2 - 1)) spawn UPSMON_movetogunner; + } + else + { + (_crew select 0) spawn UPSMON_movetogunner; + }; + }; + sleep 20; + //if (UPSMON_Debug>0 ) then {player globalchat format["%1 crew=%2",typeof _vehicle, count _crew];}; +}; +//if (UPSMON_Debug>0 ) then {player globalchat format["%1 exits from gunner control",typeof _vehicle];}; +_vehicle setVariable ["UPSMON_gunnercontrol", false, false]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_UnitsGetIn.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_UnitsGetIn.sqf new file mode 100644 index 0000000000000000000000000000000000000000..78cb063040842ced8937257bf825bb105f786ae3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_UnitsGetIn.sqf @@ -0,0 +1,128 @@ +/**************************************************************** +File: UPSMON_UnitsGetIn.sqf +Author: Azroul13 + +Description: + Funcion que mete la tropa en el vehiculo +Parameter(s): + <--- id of the group + <--- array of units that will embark in the vehicle + <--- Do the unit needs to be spawn in the vehicle +Returns: + +****************************************************************/ +private["_grpid","_vehicle","_npc","_driver","_gunner", "_unitsin", "_units" , "_Commandercount","_Drivercount","_Gunnercount","_cargo", + "_Cargocount","_emptypositions","_commander","_vehgrpid","_cargo","_gunners"]; + +_grpid = _this select 0; +_unitsin = _this select 1; +_vehicle = _this select 2; +_spawninveh = false; +if ((count _this) > 3) then {_spawninveh = _this select 3;}; + +_units = _unitsin; +_driver = objnull; +_gunner = objnull; +_commander = objnull; +_Cargocount = 0; +_Gunnercount = 0; +_Commandercount = 0; +_Drivercount = 0; +_cargo = []; + +_Cargocount = (_vehicle) emptyPositions "Cargo"; +_Gunnerturrets = _vehicle call UPSMON_fnc_commonTurrets; +_Commandercount = (_vehicle) emptyPositions "Commander"; +_Drivercount = (_vehicle) emptyPositions "Driver"; + +//Obtenemos el identificador del vehiculo +_vehgrpid = _vehicle getvariable ["UPSMON_grpid",0]; +_cargo = _vehicle getvariable ["UPSMON_cargo",[]]; + +_cargo = _cargo - _unitsin; //Para evitar duplicados +_cargo = _cargo + _unitsin; //Aadimos a la carga +_vehicle setVariable ["UPSMON_cargo", _cargo, false]; + +//Hablitamos a la IA para entrar en el vehiculo +//Tell AI to get in vehicle +{ + Dostop _x; + + if ("StaticWeapon" countType [vehicle (_x)]>0) then + { + _x spawn UPSMON_doGetOut; + }; + + unassignVehicle _x; + _x spawn UPSMON_Allowgetin; +} foreach _units; + +//Assigned to the leader as commander or cargo +{ + if ( _vehgrpid == _grpid && _x == leader _x && _Commandercount > 0 ) exitwith + { + _Commandercount = 0; + _commander = _x; + [_commander,"COMMANDER",_vehicle,0] spawn UPSMON_assignasrole; + _units = _units - [_x]; + }; + + if ( _x == leader _x && _Cargocount > 0 ) exitwith + { + [_x,"CARGO",_vehicle,0] spawn UPSMON_assignasrole; + _units = _units - [_x]; + _Cargocount = _Cargocount - 1; + }; +} foreach _units; +//if (UPSMON_Debug>0 ) then {player sidechat format["%1: _vehgrpid %2 ,_Gunnercount %3, %4",_grpid,_vehgrpid,_Gunnercount,count _units]}; + +//Si el vehiculo pertenece al grupo asignamos posiciones de piloto, sin solo de carga +//Make sure some AI will get in as driver (and if available as gunner(s)) + +if ( _vehgrpid == _grpid ) then +{ + //Asignamos el conductor + if (_Drivercount > 0) then + { + If (count (_units) > 0) then + { + _driver = _units select (count _units - 1); + [_driver,"DRIVER",_vehicle,0] spawn UPSMON_assignasrole; + _units = _units - [_driver]; + }; + }; + + //Asignamos el artillero + if ( count _Gunnerturrets > 0) then + { + If (count (_units) > 0) then + { + _gunners = []; + _i = - 1; + { + _i = _i + 1; + If (_i > (count _Gunnerturrets - 1)) exitwith {_gunners}; + _gunners pushback _x; + _turret = _Gunnerturrets select _i; + [_x,"GUNNER",_vehicle,0,_turret,_spawninveh] spawn UPSMON_assignasrole; + } foreach _units; + _units = _units - _gunners; + }; + }; +}; + +//if (UPSMON_Debug>0 ) then {player sidechat format["%1: _vehgrpid=%2 units=%4",_grpid,_vehgrpid,_cargocount,count _units]}; +//Movemos el resto como carga +if ( _Cargocount > 0) then +{ + If (count (_units) > 0) then + { + { + [_x,"CARGO",_vehicle,0] spawn UPSMON_assignasrole; + } forEach _units; + }; +}; + +{ + [_x] spawn UPSMON_avoidDissembark; +} forEach _unitsin - [_driver] - [_gunner] -[_commander]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_UnitsGetOut.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_UnitsGetOut.sqf new file mode 100644 index 0000000000000000000000000000000000000000..bcb2e4b881e1e65735770417ff7b48a53de56587 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_UnitsGetOut.sqf @@ -0,0 +1,27 @@ +/**************************************************************** +File: UPSMON_UnitsGetout.sqf +Author: Azroul13 + +Description: + Make unit leave the vehicle +Parameter(s): + <--- vehicle + <--- Units +Returns: + +****************************************************************/ +private["_transport","_units"]; + +_transport = _this select 0; +_units = _this select 1; + +{ + unassignVehicle _x; + _x action ["GETOUT", _transport]; + doGetOut _x; + [_x] allowGetIn false; + _x leaveVehicle _transport; + _Pos = [getposATL _x,[5,20],[0,360]] call UPSMON_pos; + _x domove _Pos; + sleep 0.1; +} forEach _units; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_assignasgunner.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_assignasgunner.sqf new file mode 100644 index 0000000000000000000000000000000000000000..0e28069cd602ca9e7c890dafe62063553b9ef987 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_assignasgunner.sqf @@ -0,0 +1,34 @@ +/**************************************************************** +File: UPSMON_assignasgunner.sqf +Author: MONSADA + +Description: + Move unit to the gunner position of a vehicle +Parameter(s): + <--- unit + <--- vehicle + <--- Do they move to the position or spawn ? +Returns: + Nothing +****************************************************************/ +private["_vehicle","_gunner","_dist","_spawninveh"]; +_gunner = _this select 0; +_vehicle = _this select 1; +_spawninveh = false; +if (count _this > 2) then {_spawninveh = _this select 2;}; + +_dist=0; + +[_gunner] orderGetIn true; +_gunner forcespeed 40; +_gunner assignasgunner _vehicle; +if (_spawninveh) then {_gunner moveingunner _vehicle;}; + +waituntil { _gunner != vehicle _gunner || !alive _gunner || !canmove _gunner ||!alive _vehicle || !canfire _vehicle}; + +if ( alive _gunner && alive _vehicle && canmove _gunner && canfire _vehicle) then { +_dist = _gunner distanceSqr _vehicle; +if (_dist < 3) then +{ + _gunner moveInTurret [_vehicle, [0]] ; +}; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_assignasrole.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_assignasrole.sqf new file mode 100644 index 0000000000000000000000000000000000000000..93c345078427bf107e93db3dad6438ba77a28d43 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_assignasrole.sqf @@ -0,0 +1,47 @@ +/**************************************************************** +File: UPSMON_assignasrole.sqf +Author: MONSADA + +Description: + Move unit to the position of a vehicle +Parameter(s): + <--- unit + <--- vehicle + <--- time before moving +Returns: + Nothing +****************************************************************/ +private["_vehicle","_unit","_role","_wait","_spawninveh","_turretpath"]; +_unit = _this select 0; +_role = _this select 1; +_vehicle = _this select 2; +_wait = _this select 3; +_turretpath = 0; +if (count _this > 4) then {_turretpath = _this select 4;}; +_spawninveh = true; +if (count _this > 5) then {_spawninveh = _this select 5;}; +Dostop _unit; +sleep _wait; + +unassignVehicle _unit; +switch (_role) do +{ + case "DRIVER": {_unit assignasdriver _vehicle;}; + case "COMMANDER": {_unit assignascommander _vehicle;}; + case "GUNNER": + { + if (_spawninveh) then + { + _unit moveInTurret [_vehicle,_turretpath]; + } + else + { + _unit assignAsTurret [_vehicle,_turretpath]; + }; + }; + case "CARGO": {_unit assignascargo _vehicle;}; +}; +[_unit] orderGetIn true; +_unit forcespeed 40; + +//if ( UPSMON_Debug>0) then {player sidechat format["%1: assigning to driver of %2 ",_driver, typeof _vehicle]}; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_avoidDissembark.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_avoidDissembark.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c5781b6c885549ee1a7d120bf8338a15b3b5fccf --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_avoidDissembark.sqf @@ -0,0 +1,31 @@ +/**************************************************************** +File: UPSMON_avoidDissembark.sqf +Author: MONSADA + +Description: + If every on is outside, make sure driver can move +Parameter(s): + <--- leader +Returns: + Nothing +****************************************************************/ +private["_npc","_vehicle","_timeout"]; + +_npc = _this select 0; +_vehicle = vehicle _npc; + +_timeout = 120; +_timeout = time + _timeout; + +while {_npc == vehicle _npc && alive _npc && canmove _npc && time < _timeout} do { + sleep 1; +}; + +if (!alive _npc || !canmove _npc || time >= _timeout || driver vehicle _npc == _npc) exitwith{}; +_npc stop true; + +while {_npc != vehicle _npc && alive _npc && canmove _npc} do {sleep 1;}; +_npc stop false; +sleep 0.5; + +if (!alive _npc || !canmove _npc) exitwith{}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_checkleaveVehicle.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_checkleaveVehicle.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4c381f0bf9dc62641b1c91ae80e4cec8f0b37ad2 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_checkleaveVehicle.sqf @@ -0,0 +1,35 @@ +/**************************************************************** +File: UPSMON_checkleaveVehicle.sqf +Author: MONSADA + +Description: + If every on is outside, make sure driver can move +Parameter(s): + <--- leader + <--- vehicle + <--- driver +Returns: + Nothing +****************************************************************/ +private["_npc","_vehicle","_driver","_in"]; +_npc = _this select 0; +_vehicle = _this select 1; +_driver = _this select 2; +_in = false; + +//Take time to go all units +sleep 5; +{ + if (_x != vehicle _x) then {_in = true}; +}foreach units _npc; + + +// if no one is inside +if (!_in) then { + _driver enableAI "MOVE"; + sleep 1; + _driver stop false; + sleep 1; + _driver leaveVehicle _vehicle; + sleep 1; + }; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_fnc_commonTurrets.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_fnc_commonTurrets.sqf new file mode 100644 index 0000000000000000000000000000000000000000..86fe003e5c8d11ba9d2918274c2e758316a4b2e6 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_fnc_commonTurrets.sqf @@ -0,0 +1,29 @@ +/**************************************************************** +File: UPSMON_fnc_commonTurrets.sqf +Author: Killzonekid + +Description: + Get all the turretpath of the vehicle +Parameter(s): + <--- vehicle +Returns: + array of turretpath +****************************************************************/ + +private ["_arr","_trts"]; + +_arr = []; +_trts = configFile / "CfgVehicles" / typeOf _this / "Turrets"; +for "_i" from 0 to count _trts - 1 do +{ + _arr pushback [_i]; + + for "_j" from 0 to count ( + _trts / configName (_trts select _i) / "Turrets" + ) - 1 do + { + _arr pushback [_i, _j]; + }; +}; + +_arr diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_selectvehicles.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_selectvehicles.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e98dee42036e2f924493b770501007ce12e59ab0 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/COMMON/vehicles/fnc/UPSMON_selectvehicles.sqf @@ -0,0 +1,57 @@ +/**************************************************************** +File: UPSMON_selectvehicles.sqf +Author: Azroul13 + +Description: + Funcin que busca vehiculos cercanos y hace entrar a las unidades del lider +Parameter(s): + <--- Units + <--- Array of vehicles + <--- Do the unit needs to be spawn in the vehicle +Returns: + Array of units moving to vehicle +****************************************************************/ +private["_units","_vehicles","_spawninveh","_grpid","_vehicle","_emptypositions","_i","_vehgrpid","_cargo"]; + +_units = _this select 0; +_vehicles = _this select 1; +_spawninveh = false; +if ((count _this) > 2) then {_spawninveh = _this select 2;}; + +_grpid = (group (_units select 0)) getvariable ["UPSMON_Grpid",0]; +_unitsIn = []; + +If (count _vehicles > 0) then +{ + { + if ((count _units) == 0 ) exitwith {_units}; + _vehicle = _x select 0; + _emptypositions = _x select 1; + _i = 0; + _unitsmoveIn = []; + _cargo = _vehicle getVariable ["UPSMON_cargo",[]]; + + _vehicle setVariable ["UPSMON_grpid", _grpid, false]; + + _emptypositions = _emptypositions - (count crew _vehicle); + + while {_i < _emptypositions && _i < count _units} do + { + _unit = _units select _i; + _unitsmoveIn pushback _unit; + _unitsIn pushback _unit; + _i = _i + 1; + }; + + _units = _units - _unitsmoveIn; + + If (count _unitsmoveIn > 0) then + { + [_grpid,_unitsmoveIn,_vehicle,_spawninveh] spawn UPSMON_UnitsGetIn; + if (UPSMON_Debug>0 ) then {player sidechat format["%1: Get in %2 %3 units of %4 available",_grpid,typeof _vehicle,count _unitsmoveIn,_emptypositions]}; + if (UPSMON_Debug>0 ) then {diag_log format["UPSMON %1: Moving %3 units into %2 with %4 positions",_grpid,typeof _vehicle,count _unitsmoveIn,_emptypositions]}; + }; + } foreach _vehicles; +}; + +_unitsIn \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_findclosestposition.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_findclosestposition.sqf new file mode 100644 index 0000000000000000000000000000000000000000..43018b9ab48bdd92d4e5cb220c74f1d28cdcfad5 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_findclosestposition.sqf @@ -0,0 +1,19 @@ +// Return the closest position from array to the positionA. +// In: [positionA,[array of positions]] +// Out: positionB +private ["_pA","_ps","_p1","_p2"]; +_pA = _this select 0; +_ps = _this select 1; + +_p1 = _ps select 0; + +if (count _ps > 1) then { + for "_i" from 1 to (count _ps - 1) do { + _p2 = _ps select _i; + if ((_p2 distance _pA) < (_p1 distance _pA)) then { + _p1 = _p2; + }; + }; +}; + +_p1 \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getmarkercorners.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getmarkercorners.sqf new file mode 100644 index 0000000000000000000000000000000000000000..1cac68b2aa114b130e603cffd3bffbe7fc73a59c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getmarkercorners.sqf @@ -0,0 +1,59 @@ +// In: marker +// Out: array of positions +private ["_area","_corners"]; +_area = _this; +_corners = []; + +// Center point +private ["_center","_centerX","_centerY"]; +_center = getMarkerPos _area; +_centerX = _center select 0; +_centerY = _center select 1; + +// Direction and make sure it's between 0 and 360. +private ["_dir","_dirCos","_dirSin"]; +_dir = (markerDir _area) * -1; +_dir = _dir % 360; +_dirCos = cos _dir; +_dirSin = sin _dir; + +// Size +private ["_size","_sizeX","_sizeY"]; +_size = getMarkerSize _area; +_sizeX = _size select 0; +_sizeY = _size select 1; + + +private ["_cosX","_sinX","_cosY","_sinY","_addX","_addY","_subX","_subY"]; +_cosX = _dirCos * _sizeX; +_sinX = _dirSin * _sizeX; +_cosY = _dirCos * _sizeY; +_sinY = _dirSin * _sizeY; + +_addX = _cosX + _sinY; +_addY = _sinX + _cosY; +_subX = _cosX - _sinY; +_subY = _sinX - _cosY; + +private ["_posX","_posY"]; +// Bottom Left +_posX = _centerX - _subX; +_posY = _centerY - _addY; +_corners set [0,[_posX,_posY]]; + +// Top Left +_posX = _centerX - _addX; +_posY = _centerY - _subY; +_corners set [1,[_posX,_posY]]; + +// Top Right +_posX = _centerX + _subX; +_posY = _centerY + _addY; +_corners set [2,[_posX,_posY]]; + +// Bottom Right +_posX = _centerX + _addX; +_posY = _centerY + _subY; +_corners set [3,[_posX,_posY]]; + +_corners \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getmarkershape.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getmarkershape.sqf new file mode 100644 index 0000000000000000000000000000000000000000..e397c5eb0a46fb3733723888970aa2b7d4ee3d32 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getmarkershape.sqf @@ -0,0 +1,30 @@ +// In: marker +// Out: string (marker shape) + +private ["_size","_x","_y","_ret"]; +_size = markersize _this; +_x = _size select 0; +_y = _size select 1; + +_ret = ""; + +switch (tolower(markershape _this)) do { + case "rectangle": { + if (_x == _y) then { + _ret = "SQUARE"; + } else { + _ret = "RECTANGLE"; + }; + }; + case "ellipse": { + if (_x == _y) then { + _ret = "CIRCLE"; + } else { + _ret = "ELLIPSE"; + }; + }; + case "icon": { + _ret = "ICON"; + }; +}; +_ret \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getpos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getpos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..d5c5fb47dec11434e25c4759128fe581b7f0e5c9 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getpos.sqf @@ -0,0 +1,13 @@ +// In: [position,distance,direction] +// Out: position +private ["_pos","_dst","_dir","_orgX","_orgY","_posX","_posY"]; +_pos = _this select 0; +_dst = _this select 1; +_dir = _this select 2; + +_orgX = _pos select 0; +_orgY = _pos select 1; +_posX = _orgX + (_dst * sin _dir); +_posY = _orgY + (_dst * cos _dir); + +[_posX,_posY,0] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromcircle.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromcircle.sqf new file mode 100644 index 0000000000000000000000000000000000000000..87269f8cfbcfe373c744bd9d2a9f6ba4d2222920 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromcircle.sqf @@ -0,0 +1,26 @@ +// In: marker +// Out: position + +// Center point +private ["_center","_centerX","_centerY"]; +_center = getMarkerPos _this; +_centerX = _center select 0; +_centerY = _center select 1; + +// Size +private ["_size"]; +_size = getMarkerSize _this; +_size = _size select 0; + +// Randomly pick a direction, +private ["_dir","_posX","_posY","_rand","_pos"]; +_dir = random 360; +_rand = sqrt random 1; +_posX = (_size * (cos _dir)) * _rand; +_posY = (_size * (sin _dir)) * _rand; +_pos = [_posX,_posY]; + +_posX = _centerX + (_pos select 0); +_posY = _centerY + (_pos select 1); + +[_posX,_posY,0] diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromellipse.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromellipse.sqf new file mode 100644 index 0000000000000000000000000000000000000000..86b74a0dcc70a2646ff8765be050b174a3b0a4d7 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromellipse.sqf @@ -0,0 +1,43 @@ +// In: ellipseMarker +// Out: position + +// Center point +private ["_center","_centerX","_centerY"]; +_center = getMarkerPos _this; +_centerX = _center select 0; +_centerY = _center select 1; + +// Direction and make sure it's between 0 and 360. +private ["_dirMrk"]; +_dirMrk = (markerDir _this) * -1; +_dirMrk = _dirMrk % 360; + +// Size +private ["_size","_sizeX","_sizeY"]; +_size = getMarkerSize _this; +_sizeX = _size select 0; +_sizeY = _size select 1; + +// If B axis is longer than A, switch them and fix direction. +if (_sizeX < _sizeY) then { + _sizeX = _size select 1; + _sizeY = _size select 0; + _dirMrk = _dirMrk + 90; +}; + +// Randomly pick a direction, +private ["_dir","_posX","_posY","_rand","_pos"]; +_dir = random 360; +_rand = sqrt random 1; +_posX = (_sizeX * (cos _dir)) * _rand; +_posY = (_sizeY * (sin _dir)) * _rand; +_pos = [_posX,_posY]; + +if (_dirMrk != 0) then { + _pos = [_pos,_dirMrk] call UPSMON_pos_fnc_rotatePosition; +}; + +_posX = _centerX + (_pos select 0); +_posY = _centerY + (_pos select 1); + +[_posX,_posY,0] diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromrectangle.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromrectangle.sqf new file mode 100644 index 0000000000000000000000000000000000000000..76ebd7daff318e4714a28a1b4b93687bc0129c3e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromrectangle.sqf @@ -0,0 +1,37 @@ +// In: marker +// Out: position + +// Center point +private ["_center","_centerX","_centerY"]; +_center = getMarkerPos _this; +_centerX = _center select 0; +_centerY = _center select 1; + +// Size +private ["_size","_sizeX","_sizeY"]; +_size = getMarkerSize _this; +_sizeX = _size select 0; +_sizeY = _size select 1; + +// Direction and make sure it's between 0 and 360. +private ["_dir","_dirCos","_dirSin"]; +_dir = (markerDir _this) * -1; +_dir = _dir % 360; +_dirCos = cos _dir; +_dirSin = sin _dir; + +private ["_rndX","_rndY","_posX","_posY"]; +// Select random X and Y +_rndX = (random (_sizeX * 2)) - _sizeX; +_rndY = (random (_sizeY * 2)) - _sizeY; + +// If area is angled, shift X and Y +if (_dir != 0) then { + _posX = _centerX + (_dirCos * _rndX - _dirSin * _rndY); + _posY = _centerY + (_dirSin * _rndX + _dirCos * _rndY); +} else { + _posX = _centerX + _rndX; + _posY = _centerY + _rndY; +}; + +[_posX,_posY,0] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromsquare.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromsquare.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c47df5bd219fffa44e1223e7e60ee1c026a323ee --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_getposfromsquare.sqf @@ -0,0 +1,36 @@ +// In: marker +// Out: position + +// Center point +private ["_center","_centerX","_centerY"]; +_center = getMarkerPos _this; +_centerX = _center select 0; +_centerY = _center select 1; + +// Size +private ["_size"]; +_size = getMarkerSize _this; +_size = _size select 0; + +// Direction and make sure it's between 0 and 360. +private ["_dir","_dirCos","_dirSin"]; +_dir = (markerDir _this) * -1; +_dir = _dir % 360; +_dirCos = cos _dir; +_dirSin = sin _dir; + +private ["_rndX","_rndY","_posX","_posY"]; +// Select random X and Y +_rndX = (random (_size * 2)) - _size; +_rndY = (random (_size * 2)) - _size; + +// If area is angled, shift X and Y +if (_dir != 0) then { + _posX = _centerX + (_dirCos * _rndX - _dirSin * _rndY); + _posY = _centerY + (_dirSin * _rndX + _dirCos * _rndY); +} else { + _posX = _centerX + _rndX; + _posY = _centerY + _rndY; +}; + +[_posX,_posY,0] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isblacklisted.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isblacklisted.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4d38d3e1eec5605431623a24e25aacce630d66b8 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isblacklisted.sqf @@ -0,0 +1,85 @@ +// In: [position,blackListMarker] +// Out: boolean + +private ["_pos","_area","_return"]; +_pos = _this select 0; +_area = _this select 1; +_return = false; + +// Find corner positions of the rectangle +private ["_dir"]; +_dir = markerDir _area; +_dir = _dir % 360; + +// Center point +private ["_center","_centerX","_centerY"]; +_center = getMarkerPos _area; +_centerX = _center select 0; +_centerY = _center select 1; + +private ["_shape"]; +_shape = _area call UPSMON_pos_fnc_getMarkerShape; + +if (_shape == "ICON") then { + // Icon has only one position, so if it equals to the given position, then it's blacklisted. + if ([_pos,_center] call UPSMON_pos_fnc_issameposition) then { + _return = true; + }; + +// Markers that have an area. +} else { + if (_shape in ["RECTANGLE","SQUARE"]) then { + private ["_corners"]; + _corners = _area call UPSMON_pos_fnc_getMarkerCorners; + + // If rectangle is not axis-aligned. + if (_dir % 90 != 0) then { + // Add the point position to the array to have it shifted by the FOR below + _corners set [4,_pos]; + + // Rotate each corner position so that the rectangle is aligned with x and y axises + // Use origo as center while rotating, but for comparison shift positions back + private ["_posCor","_posNew","_orgX","_orgY","_shiftedX","_shiftedY","_newX","_newY"]; + for "_i" from 0 to (count _corners - 1) do { + _posCor = _corners select _i; + + // Original coordinates + _orgX = _posCor select 0; + _orgY = _posCor select 1; + + // Subtract the marker center coordinates from corner coordinates. + // Rotation is done using origo (0,0) as anchor/centerpoint. + _shiftedX = _orgX - _centerX; + _shiftedY = _orgY - _centerY; + + // Axis-aligned corner position + _posNew = [[_shiftedX,_shiftedY],_dir] call UPSMON_pos_fnc_rotatePosition; + + // Shift the aligned corner position back near to the original marker location. + _newX = _posNew select 0; + _newY = _posNew select 1; + _newX = _newX + _centerX; + _newY = _newY + _centerY; + + _posCor = [_newX,_newY]; + + _corners set [_i,_posCor]; + }; + + // Point position + _pos = _corners select 4; + }; + + // Check if the position is within the marker area. + _return = [_pos,_corners] call UPSMON_pos_fnc_isInRectangle; + } else { + if (_shape == "CIRCLE") then { + _return = [_pos,_area] call UPSMON_pos_fnc_isInCircle; + } else { + _return = [_pos,_area] call UPSMON_pos_fnc_isInEllipse; + }; + }; +}; + + +_return \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isincircle.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isincircle.sqf new file mode 100644 index 0000000000000000000000000000000000000000..39616d957426e33c2c64db62b5ff484a2e7ec980 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isincircle.sqf @@ -0,0 +1,36 @@ +// In: [position,marker] +// Out: boolean + +private ["_pos","_area","_posX","_posY"]; +_pos = _this select 0; +_area = _this select 1; + +_posX = _pos select 0; +_posY = _pos select 1; + +// Center point +private ["_center","_centerX","_centerY"]; +_center = getMarkerPos _area; +_centerX = _center select 0; +_centerY = _center select 1; + +// Size +private ["_size"]; +_size = getMarkerSize _area; +_size = _size select 0; + +// Difference in coordinates +private ["_difX","_difY"]; +_difX = _posX - _centerX; +_difY = _posY - _centerY; + +private ["_return"]; +_return = false; + +// If distance from center of marker to the given position is +// smaller than the radius of the circle, then position is inside. +if (sqrt((_difX * _difX) + (_difY * _difY)) < _size) then { + _return = true; +}; + +_return \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isinellipse.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isinellipse.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6fc0798703569ac974e3c30dc8f7f5db9664897b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isinellipse.sqf @@ -0,0 +1,56 @@ +// In: [position,ellipseMarker] +// Out: boolean + +private ["_pos","_area","_return"]; +_pos = _this select 0; +_area = _this select 1; +_return = false; + +// Ellipse size +private ["_size","_sizeX","_sizeY"]; +_size = getMarkerSize _area; +_sizeX = _size select 0; +_sizeY = _size select 1; +if (_sizeX == 0) then {_sizeX = 1}; +if (_sizeY == 0) then {_sizeY = 1}; + +// Direction and make sure it's between 0 and 360. +private ["_dir"]; +_dir = markerDir _area; +_dir = _dir % 360; + +// Ellipse center position +private ["_center","_centerX","_centerY"]; +_center = getMarkerPos _area; +_centerX = _center select 0; +_centerY = _center select 1; + +// If marker is not axis-aligned, rotate the dot position. +if (_dir % 90 != 0) then { + private ["_orgX","_orgY","_shiftedX","_shiftedY"]; + _orgX = _pos select 0; + _orgY = _pos select 1; + _shiftedX = _orgX - _centerX; + _shiftedY = _orgY - _centerY; + _pos = [[_shiftedX,_shiftedY],_dir] call UPSMON_pos_fnc_rotatePosition; + _pos set [0,(_pos select 0) + _centerX]; + _pos set [1,(_pos select 1) + _centerY]; +}; +// Dot position +private ["_posX","_posY"]; +_posX = _pos select 0; +_posY = _pos select 1; + +// Distance between dot and ellipse center +private ["_dstX","_dstY"]; +_dstX = abs(_posX - _centerX); +_dstY = abs(_posY - _centerY); + +private ["_sum"]; +_sum = ((_dstX * _dstX)/(_sizeX * _sizeX)) + ((_dstY * _dstY)/(_sizeY * _sizeY)); + +if (_sum <= 1) then { + _return = true; +}; + +_return \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isinrectangle.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isinrectangle.sqf new file mode 100644 index 0000000000000000000000000000000000000000..43d7d36adcfdf00048377d26707267466be40ac9 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_isinrectangle.sqf @@ -0,0 +1,26 @@ +// In: [pointPosition,corners] +// Out: boolean +private ["_pos","_corners","_return"]; +_pos = _this select 0; +_corners = _this select 1; +_return = false; + +private ["_dotX","_dotY","_bottomLeft","_left","_bottom","_topRight","_right","_top"]; +_dotX = _pos select 0; +_dotY = _pos select 1; + +_bottomLeft = _corners select 0; +_left = _bottomLeft select 0; +_bottom = _bottomLeft select 1; + +_topRight = _corners select 2; +_right = _topRight select 0; +_top = _topRight select 1; + +// x is between left and right +// y is between bottom and top +if (_dotX >= _left && _dotX < _right && _dotY >= _bottom && _dotY < _top) then { + _return = true; +}; + +_return \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_issameposition.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_issameposition.sqf new file mode 100644 index 0000000000000000000000000000000000000000..32dbf4c526762c65e2b382774f23983140bce367 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_issameposition.sqf @@ -0,0 +1,16 @@ +// In: [array1,array2] +// Out: boolean + +private ["_p1","_p2","_return"]; +_p1 = _this select 0; +_p2 = _this select 1; +_return = true; + +// Only compare X and Y coordinates, ignore Z. +for "_i" from 0 to 1 do { + if ((_p1 select _i) != (_p2 select _i)) exitwith { + _return = false; + }; +}; + +_return \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_rotateposition.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_rotateposition.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c0afaae8e04b0437d2136cb84500305494d3e9eb --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/Get_pos/UPSMON_pos_fnc_rotateposition.sqf @@ -0,0 +1,13 @@ +// In: [position,direction] +// Out: position +private ["_pos","_dir","_orgX","_orgY","_newX","_newY"]; +_pos = _this select 0; +_dir = _this select 1; + +_orgX = _pos select 0; +_orgY = _pos select 1; + +_newX = (_orgX * (cos _dir)) - (_orgY * (sin _dir)); +_newY = (_orgX * (sin _dir)) + (_orgY * (cos _dir)); + +[_newX,_newY] \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..5cfe2fef607ab4ca9540a50e5f50eb5125ad2e53 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/Init.sqf @@ -0,0 +1,4 @@ + +UPSMON_FindAmbushPos = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\AMBUSH\fnc\UPSMON_FindAmbushPos.sqf"; +UPSMON_getAmbushpos = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\AMBUSH\fnc\UPSMON_getAmbushpos.sqf"; +UPSMON_SetAmbush = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\AMBUSH\fnc\UPSMON_SetAmbush.sqf"; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/fnc/UPSMON_FindAmbushPos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/fnc/UPSMON_FindAmbushPos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..699cbad2b6ecefcd958e7976d29115e2fae4ffb3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/fnc/UPSMON_FindAmbushPos.sqf @@ -0,0 +1,77 @@ +/**************************************************************** +File: UPSMON_getAmbushpos.sqf +Author: Azroul13 + +Description: + Search an ambush position near the leader of the group. + It will search in priority a road position near the leader if it doesn't find any roads it will take the position of the leader as the ambush position. + +Parameter(s): + <--- Leader of the group + <--- Direction from the leader to the positiontoambush + <--- Position choose as an ambush position + <--- Distance from the positiontoambush, the search begin. +Returns: + +****************************************************************/ + +private ["_npc","_diramb","_ambushdir","_positiontoambush","_ambushdist","_AmbushPosition","_AmbushPositions","_i","_max","_min","_ang","_dir","_distancetemp","_orgX","_orgY","_posX","_posY","_obspos1","_los_ok","_objects"]; + +_npc = _this select 0; +_diramb = _this select 1; +_positiontoambush = _this select 2; +_ambushdist = _this select 3; + +_AmbushPosition = [_positiontoambush,_diramb, _ambushdist] call UPSMON_GetPos2D; +_AmbushPositions = []; +_i = 0; + +for "_i" from 1 to 50 do +{ + // Many thanks Shuko ... + _min = _diramb + 290; + _max = _diramb + 70; + + _ang = _max - _min; + // Min bigger than max, can happen with directions around north + if (_ang < 0) then { _ang = _ang + 360 }; + _dir = (_min + random _ang); + _distancetemp = (random _ambushdist) + 50; + If (_distancetemp > _ambushdist) then {_distancetemp = _ambushdist;}; + + _orgX = _positiontoambush select 0; + _orgY = _positiontoambush select 1; + _posX = _orgX - ((_distancetemp) * sin _dir); + _posY = _orgY - ((_distancetemp) * cos _dir); + + _obspos1 = [_posX,_posY,0]; + If (!surfaceIsWater _obspos1) then + { + If (count (_obspos1 nearRoads 50) == 0) then + { + If ([_obspos1,_positiontoambush] call UPSMON_LOS) then + { + _AmbushPositions pushback _obspos1; + }; + }; + }; +}; + +{ + _obspos = _x; + _value = [_obspos,1,1] call UPSMON_TerraCognita; + _urban = _value select 0; + _forest = _value select 1; + _terr = (_urban + _forest) * 100; + _elev = getTerrainHeightASL [_obspos select 0,_obspos select 1]; + _obspos set [(count _obspos),_terr + _elev]; +} foreach _AmbushPositions; + +if (count _AmbushPositions > 0) then +{ + _AmbushPositions = [_AmbushPositions] call UPSMON_ValueOrd; + _AmbushPosition = _AmbushPositions select 0; + _AmbushPosition = [_AmbushPosition select 0,_AmbushPosition select 1,0]; +}; + +_AmbushPosition \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/fnc/UPSMON_SetAmbush.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/fnc/UPSMON_SetAmbush.sqf new file mode 100644 index 0000000000000000000000000000000000000000..60165ce5d232f3511f143fa66b5893b4c8dfc08e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/fnc/UPSMON_SetAmbush.sqf @@ -0,0 +1,55 @@ +/**************************************************************** +File: UPSMON_SetAmbush.sqf +Author: Azroul13 + +Description: + Move the group to a position where he can ambushed any units that cross the positiontoambush + +Parameter(s): + <--- Leader of the group + <--- Direction from the leader to the positiontoambush + <--- Position choose as an ambush position + <--- Distance from the positiontoambush, the search begin. +Returns: + Nothing +****************************************************************/ + + +private ["_npc","_diramb","_positiontoambush","_ambushdist","_bldpositions","_bldpos"]; + +_npc = _this select 0; +_diramb = _this select 1; +_positiontoambush = _this select 2; +_ambushdist = _this select 3; +_AmbushPosition = []; + +_terrainscan = _positiontoambush call UPSMON_sample_terrain; +if (_terrainscan select 0 == "meadow") then {_ambushdist = 300}; +if (_terrainscan select 0 == "forest") then {_ambushdist = 100}; + +if (_terrainscan select 0 == "inhabited" && _terrainscan select 1 > 300) then +{ + _AmbushPosition = _positiontoambush; +} +else +{ + _AmbushPosition = [_npc,_diramb,_positiontoambush,_ambushdist] call UPSMON_FindAmbushPos; +}; + +if (UPSMON_Debug>0) then {[_AmbushPosition,"Icon","hd_ambush","Colorred"] spawn UPSMON_createmarker}; + +if (!alive _npc || !canmove _npc || isplayer _npc ) exitwith {}; + + +_bldpositions = [[_AmbushPosition select 0,_AmbushPosition select 1,0],"RANDOMUP",50,"",true] call UPSMON_GetNearestBuildings; + +_units = units _npc; +If (count _bldpositions > 0) then +{ + _units = [_units,_bldpositions] call UPSMON_SpawninBuildings; +}; + +If (count _units > 0) then +{ + [_AmbushPosition,_positiontoambush,100,true,_units] call UPSMON_fnc_find_cover; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/fnc/UPSMON_getAmbushpos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/fnc/UPSMON_getAmbushpos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..15d7569357235dda5bbf005977bf6b487b31e36e --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/AMBUSH/fnc/UPSMON_getAmbushpos.sqf @@ -0,0 +1,102 @@ +/**************************************************************** +File: UPSMON_getAmbushpos.sqf +Author: Azroul13 + +Description: + Search an ambush position near the leader of the group. + It will search in priority a road position near the leader if it doesn't find any roads it will take the position of the leader as the ambush position. + +Parameter(s): + <--- Leader of the group +Returns: + ---> Ambush Position. + This position is used in the main loop for the ambush behaviour. +****************************************************************/ + +private ["_grp","_Ucthis","_position","_npc","_ambushdir","_ambushType","_ambushdist","_Mines","_Minestype","_npcdir","_roads","_roadConnectedTo","_connectedRoad","_minetype1","_minetype2"]; + +_grp = _this select 0; +_Ucthis = _this select 1; +_position = _this select 2; +_npc = leader _grp; +_ambushdir = ""; +_ambushType = 1; +_ambushdist = UPSMON_ambushdist; +_Mines = 4; +_Minestype = 1; + +_ambushdir = ["AMBUSHDIR:",_ambushdir,_UCthis] call UPSMON_getArg;_ambushdir = ["AMBUSHDIR2:",_ambushdir,_UCthis] call UPSMON_getArg; +_ambushType = if ("AMBUSH2" in _UCthis || "AMBUSHDIR2:" in _UCthis || "AMBUSH2:" in _UCthis) then {2} else {_ambushType}; +if ("AMBUSHDIST:" in _UCthis) then {_ambushdist = ["AMBUSHDIST:",_ambushdist,_UCthis] call UPSMON_getArg;} else {_ambushdist = 100}; +// Mine Parameter (for ambush) +if ("MINE:" in _UCthis) then {_Mines = ["MINE:",_Mines,_UCthis] call UPSMON_getArg;}; // ajout +if ("MINEtype:" in _UCthis) then {_Minestype = ["MINEtype:",_Minestype,_UCthis] call UPSMON_getArg;}; // ajout + + +_positiontoambush = _position; + +_npcdir = getDir _npc; +(group _npc) setCombatMode "BLUE"; + +If (_ambushdir != "") then +{ + switch (_ambushdir) do + { + case "NORTH": {_npcdir = 0;}; + case "NORTHEAST":{_npcdir = 45;}; + case "EAST": {_npcdir = 90;}; + case "SOUTHEAST": {_npcdir = 135;}; + case "SOUTH": {_npcdir = 180;}; + case "SOUTHWEST": {_npcdir = 225;}; + case "WEST": {_npcdir = 270;}; + case "NORTHWEST": {_npcdir = 315;}; + }; +}; + +_diramb = _npcdir; + +_positiontoambush = [_positiontoambush,_diramb, 20] call UPSMON_GetPos2D; +_positiontoambush set [count _positiontoambush,0]; +_roads = _positiontoambush nearRoads 100; + + +if (count _roads > 0) then +{ + _roads = [_roads, [], { _positiontoambush vectorDistance getposATL _x}, "ASCEND"] call BIS_fnc_sortBy; + + // Thanks ARJay + _roadConnectedTo = roadsConnectedTo (_roads select 0); + _connectedRoad = _roadConnectedTo select 0; + _diramb = [(_roads select 0), _connectedRoad] call BIS_fnc_DirTo; + If ((_npcdir < 180 && _diramb > (_npcdir + 90)) || (_npcdir > 180 && _diramb < (_npcdir - 90))) then {_diramb = _diramb +180;diag_log format ["Min2: %1 Max2: %2 %3 %4",_npcdir,_diramb,(_npcdir < 180 && _diramb > (_npcdir + 90)),(_npcdir > 180 && _diramb < (_npcdir - 90))];}; + _positiontoambush = getposATL (_roads select 0); +}; + +//Puts a mine if near road +if ( UPSMON_useMines && _ambushType == 1 ) then +{ + if (UPSMON_Debug>0) then + { + player sidechat format["%1: Putting mine for ambush",_grp getvariable ["UPSMON_grpid",0]]; + diag_log format["UPSMON %1: Putting mine for ambush",_grp getvariable ["UPSMON_grpid",0]]; + diag_log format["%1: Roads #:%2 Pos:%3 Dir:%4",_grp getvariable ["UPSMON_grpid",0], _roads,_positiontoambush,_npcdir] + }; + + _minetype1 = UPSMON_Minestype1 call BIS_fnc_selectRandom; + _minetype2 = UPSMON_Minestype2 call BIS_fnc_selectRandom; + + switch (_Minestype) do + { + case "1": {_minetype2 = _minetype1;}; + case "2": {_minetype2 = _minetype2;}; + case "3": {_minetype1 = _minetype2;}; + }; + + [_Mines,_minetype1,_minetype2,_positiontoambush,_diramb,side _npc] spawn UPSMON_spawnmines; + +}; + +[_npc,_diramb,_positiontoambush,_ambushdist] spawn UPSMON_SetAmbush; +sleep 1; + +_positiontoambush diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..6958b9692af70197f01c1c55a5b999c3257fc677 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/Init.sqf @@ -0,0 +1,14 @@ + +UPSMON_ArtiChk = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_ArtiChk.sqf"; +UPSMON_FO = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_FO.sqf"; +UPSMON_GetArtiTarget = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_GetArtiTarget.sqf"; + +UPSMON_selectartillery = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_selectartillery.sqf"; +UPSMON_artillerydofire = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_artillerydofire.sqf"; +UPSMON_GetDefaultmun = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_GetDefaultmun.sqf"; +UPSMON_getmuninfos = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_getmuninfos.sqf"; +UPSMON_getmuninfosbackpack = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_getmuninfosbackpack.sqf"; +UPSMON_Splashzone = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_Splashzone.sqf"; +UPSMON_Flaretime = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_Flaretime.sqf"; +UPSMON_artillerysetBattery = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_artillerysetBattery.sqf"; +UPSMON_artilleryBatteryout = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ARTILLERY\fnc\UPSMON_artilleryBatteryout.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_ArtiChk.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_ArtiChk.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c5c19d409596b7386c9aa010b3c284d0f89bfd89 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_ArtiChk.sqf @@ -0,0 +1,45 @@ +/**************************************************************** +File: UPSMON_Splashzone.sqf +Author: Azroul13 + +Description: + check if there's allied near the targetpos. + +Parameter(s): + <--- Arti unit + <--- Mission fire +Returns: + boolean +****************************************************************/ + +private ["_grp","_result","_artillerysideFire","_artillerysideunits"]; + +_grp = _this select 0; +_result = false; + +If (!(_grp getvariable ["UPSMON_NOARTILLERY",false])) then +{ + If (_grp getvariable ["UPSMON_RADIORANGE",0] > 0) then + { + If (_grp getvariable ["UPSMON_Articalltime",time] <= time) then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "AMBUSH") then + { + If (_grp getvariable ["UPSMON_Grpmission",""] != "SURRENDER") then + { + _artillerysideFire = call (compile format ["UPSMON_ARTILLERY_%1_FIRE",side _grp]); + If (_artillerysideFire) then + { + _artillerysideunits = call (compile format ["UPSMON_ARTILLERY_%1_UNITS",side _grp]); + If (count _artillerysideunits > 0) then + { + _result = true; + }; + }; + }; + }; + }; + }; +}; + +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_FO.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_FO.sqf new file mode 100644 index 0000000000000000000000000000000000000000..9919e568fe206a214bc602132061249d2fb02bde --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_FO.sqf @@ -0,0 +1,82 @@ +/**************************************************************** +File: UPSMON_FO.sqf +Author: Azroul13 + +Description: + Analyse the situation for artillery support, target and munition to use for them. + +Parameter(s): + <--- group + <--- leader position + <--- Attack position + <--- Dist from target + <--- Enemies array +Returns: + Nothing +****************************************************************/ + +private ["_grp","_currpos","_attackpos","_dist","_enies","_suspectenies","_RadioRange","_artillerysideunits","_suspectpos","_artitarget","_mission"]; + +_grp = _this select 0; +_currpos = _this select 1; +_attackpos = _this select 2; +_dist = _this select 3; +_enies = _this select 4; +_mission = "HE"; +If (count _this > 5) then {_mission = _this select 5}; + +_RadioRange = _grp getvariable ["UPSMON_RADIORANGE",0]; +_artillerysideunits = (call (compile format ["UPSMON_ARTILLERY_%1_UNITS",side _grp])) - [_grp]; + +If (_mission == "ILLUM") then +{ + + [_artillerysideunits,"ILLUM",_RadioRange,_currpos,3,_attackpos,50] spawn UPSMON_selectartillery; + _time = time + 10; + _grp setvariable ["UPSMON_Articalltime",_time]; +} +else +{ + If (_grp getvariable ["UPSMON_Grpmission",""] == "RETREAT") then + { + If (_dist > 200) then + { + _time = time + 10; + _grp setvariable ["UPSMON_Articalltime",_time]; + _vcttarget = [_currpos, _attackpos] call BIS_fnc_dirTo; + _dist = (_currpos vectorDistance _attackpos)/2; + _attackpos = [_currpos,_vcttarget, _dist] call UPSMON_GetPos2D; + [_artillerysideunits,"SMOKE",_RadioRange,_currpos,4,_attackpos,50] spawn UPSMON_selectartillery; + }; + } + else + { + _artitarget = [_enies,_currpos] call UPSMON_GetArtiTarget; + _area = 30; + If (!IsNull _artitarget) then + { + _muntype = "HE"; + _nbr = 4; + If (vehicle _artitarget == _artitarget) then + { + If ([_artitarget] call UPSMON_Inbuilding) then + { + _nbr = 2; + _area = 5; + }; + } + else + { + if (_artitarget iskindof "Tank") then + { + _nbr = 2; + _area = 10; + _muntype = "AT"; + }; + }; + _time = time + 10; + _grp setvariable ["UPSMON_Articalltime",_time]; + [_artillerysideunits,_muntype,_RadioRange,_currpos,_nbr,_artitarget,_area] spawn UPSMON_selectartillery; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_Flaretime.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_Flaretime.sqf new file mode 100644 index 0000000000000000000000000000000000000000..dc0bf0dbe1cedbe976a4bfab3b2f4e29163b655d --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_Flaretime.sqf @@ -0,0 +1,4 @@ +UPSMON_FlareInTheAir = true; +sleep 50; +UPSMON_FlareInTheAir = false; +Publicvariable "UPSMON_FlareInTheAir"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_GetArtiTarget.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_GetArtiTarget.sqf new file mode 100644 index 0000000000000000000000000000000000000000..3240056450b9fcf7a60db81371f3aefb9328c991 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_GetArtiTarget.sqf @@ -0,0 +1,93 @@ +/**************************************************************** +File: UPSMON_GetArtitarget.sqf +Author: Azroul13 + +Description: + Get the most interesting target for Arti. + +Parameter(s): + <--- Array of enies + <--- position of the calling leader +Returns: + Target +****************************************************************/ + +private ["_enies","_currpos","_target","_list","_points"]; + +_enies = _this select 0; +_currpos = _this select 1; + +_target = ObjNull; +_list = []; + +{ + If (alive _x) then + { + If (_currpos vectordistance (getposATL _x) > 300) then + { + If (!((vehicle _x) iskindof "AIR")) then + { + _points = 0; + If (vehicle _x != _x) then + { + If ((vehicle _x) iskindof "STATICWEAPON") then + { + _points = _points + 100; + }; + + If ((vehicle _x) iskindof "CAR" || (vehicle _x) iskindof "TANK") then + { + if (Speed _x < 10) then + { + _armor = getNumber (configFile >> "CfgVehicles" >> (typeof (vehicle _x)) >> "armor"); + If (_armor > 500) then + { + _points = _points + 100; + } + else + { + _points = _points + 50; + }; + + If (!(IsNull (Gunner (vehicle _x)))) then + { + _points = _points + 100; + }; + }; + }; + + _cfgArtillery = getnumber (configFile >> "cfgVehicles" >> (typeOf (vehicle _x)) >> "artilleryScanner"); + + If (_cfgArtillery == 1) then + { + _points = _points + 200; + }; + } + else + { + If ([_x] call UPSMON_Inbuilding) then + { + _points = _points + 100; + }; + + _eniesnear = [_x,_enies] call UPSMON_Eniesnear; + + If (_eniesnear > 4) then + { + _points = _points + (20 * (_eniesnear)); + }; + }; + + _list pushback [_x,_points]; + }; + }; + }; +} foreach _enies; + +If (count _list > 0) then +{ + _list = [_list, [], {_x select 1}, "DESCEND"] call BIS_fnc_sortBy; + _target = (_list select 0) select 0; +}; + +_target \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_GetDefaultmun.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_GetDefaultmun.sqf new file mode 100644 index 0000000000000000000000000000000000000000..16f27600fce3915a62780be7f18e8f92c59b1ff8 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_GetDefaultmun.sqf @@ -0,0 +1,47 @@ +/**************************************************************** +File: UPSMON_getdefaultmun.sqf +Author: Azroul13 + +Description: + Get the number munition for mortar backpack + +Parameter(s): + <--- vehicle type +Returns: + Array [nbr HE,nbr Smoke,nbr Illum] +****************************************************************/ + +private ["_vehicle","_cfgArtillerymag","_rounds","_ammo","_parents","_cfg","_count"]; + +_vehicle = _this select 0; + +_cfgArtillerymag = getArray (configFile >> "cfgVehicles" >> _vehicle >> "Turrets" >> "MainTurret" >> "magazines"); + +_rounds = [0,0,0]; + +{ + _ammo = tolower gettext (configFile>> "CfgMagazines" >> _x >> "ammo"); + _parents = [(configFile>> "CfgAmmo" >> _ammo),true] call BIS_fnc_returnParents; + _cfg = tolower gettext (configFile>> "CfgAmmo" >> _ammo >> "submunitionAmmo"); + + If ("ShellBase" in _parents) then + { + _count = getnumber (configFile>> "CfgMagazines" >> _x >> "count"); + _rounds set [0,(_rounds select 0) + _count]; + }; + + If (_cfg == "SmokeShellArty") then + { + _count = getnumber (configFile>> "CfgMagazines" >> _x >> "count"); + _rounds set [1,(_rounds select 1) + _count]; + }; + + If ("FlareCore" in _parents) then + { + _count = getnumber (configFile>> "CfgMagazines" >> _x >> "count"); + _rounds set [2,(_rounds select 2) + _count]; + }; + +} foreach _cfgArtillerymag; + +_rounds \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_Splashzone.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_Splashzone.sqf new file mode 100644 index 0000000000000000000000000000000000000000..fdf2d45cdd391506403a5e11cf3e66ec4e5b4da2 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_Splashzone.sqf @@ -0,0 +1,36 @@ +/**************************************************************** +File: UPSMON_Splashzone.sqf +Author: Azroul13 + +Description: + check if there's allied near the targetpos. + +Parameter(s): + <--- Arti unit + <--- Mission fire +Returns: + boolean +****************************************************************/ + +private []; + +_targetPos = _this select 0; +_munradius = _this select 1; +_side = _this select 2; + +_result = false; +//Must check if no friendly squad near fire position +{ + If (!IsNull _x) then + { + if (alive (leader _x)) then + { + If (_side == side _x) then + { + if ((round([getposATL (leader _x),_targetPos] call UPSMON_distancePosSqr)) <= (_munradius)) exitwith {_result = true;_result}; + }; + }; + }; +} foreach UPSMON_NPCs; + +_result \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_artilleryBatteryout.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_artilleryBatteryout.sqf new file mode 100644 index 0000000000000000000000000000000000000000..7c03f8fadf8e5b73395e020553a57d49d9ab7e90 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ARTILLERY/fnc/UPSMON_artilleryBatteryout.sqf @@ -0,0 +1,28 @@ +/**************************************************************** +File: UPSMON_artilleryBatteryout.sqf +Author: Azroul13 + +Description: + Mortar units repack the static weapon +Parameter(s): + +Returns: + nothing +****************************************************************/ +private ["_batteryunits","_staticteam"]; + +_batteryunits = _this select 0; + +If (typename (_batteryunits select 0) == "ARRAY") then +{ + _staticteam = _batteryunits select 0; + { + If (!alive _x) exitwith {_batteryunits = [];}; + } foreach _staticteam; + + If (count _batteryunits > 0) then + { + [_staticteam select 0,_staticteam select 1] call UPSMON_Packbag; + }; + +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_Fortify.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_Fortify.sqf new file mode 100644 index 0000000000000000000000000000000000000000..404485bd69446febdbe5cb6418b86cdba48eacb8 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_Fortify.sqf @@ -0,0 +1,42 @@ +/**************************************************************** +File: UPSMON_unitdefend.sqf +Author: Azroul13 + +Description: + +Parameter(s): + <--- group + <--- Distance between group and nearest enemy + <--- Is supressed? (boolean) +Returns: + nothing +****************************************************************/ + +private ["_grp","_units","_npc","_currpos","_dir","_blds","_lookpos","_attackpos"]; + +_grp = _this select 0; +_attackpos = _this select 1; +_units = units _grp; +_npc = leader _grp; +_currpos = getposATL _npc; +_dir = getdir _npc; + +_grp setvariable ["UPSMON_GrpinAction",true]; + +_unitsin = [_npc,["static"],50,false,""] call UPSMON_GetIn_NearestVehicles; +_units = _units - _unitsin; + +If ( count _units > 0 ) then +{ + _nosmoke = [_grp] call UPSMON_NOSMOKE; + If (!_nosmoke) then {[units _grp,_attackpos] spawn UPSMON_CreateSmokeCover;}; + sleep 1; + _units = [_npc,_units,70,9999] call UPSMON_moveNearestBuildings; + If (count _units > 0) then + { + _lookpos = [_currpos,_dir, 20] call UPSMON_GetPos2D; + [_currpos,_lookpos,50,false,_units] call UPSMON_fnc_find_cover; + }; +}; +_grp setvariable ["UPSMON_GrpinAction",false]; +_grp setvariable ["UPSMON_Grpmission","FORTIFY"]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_SpawninBuildings.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_SpawninBuildings.sqf new file mode 100644 index 0000000000000000000000000000000000000000..48fee77852bac81fcad6cd982ea3c535d79a2117 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_SpawninBuildings.sqf @@ -0,0 +1,96 @@ +/**************************************************************** +File: UPSMON_SpawninBuildings.sqf +Author: Azroul13 + +Description: + Spawn each unit of the group in building + +Parameter(s): + <--- Group units + <--- Array of buildings + <--- Leader of group +Returns: + units not in building +****************************************************************/ + +private ["_minpos","_units","_blds","_blds2","_altura","_bld","_bldpos1","_bldpos2","_cntobjs1","_movein","_i","_result","_id2"]; + +_minpos = 1; + +_units = _this select 0; +_blds = _this select 1; +_i = 0; +If (count _this > 2) then {_i = _this select 2}; + +If (_i > 4) exitwith {_units}; + +_blds2 = []; + +{ + _arraybld = _x; + _bld = _x select 0; + _bldpos1 = (_x select 1) select 0; + _bldpos2 = (_x select 1) select 1; + + If (count _bldpos1 < _minpos) then {_bldpos1 = (_x select 1) select 1;_bldpos2 = _bldpos1;}; + if ("deletethis" in _bldpos1) then {_bldpos1 = _bldpos1 - ["deletethis"];}; + + if ( count _bldpos1 >= _minpos ) then + { + _cntobjs1 = 1; + _movein = []; + if (count _bldpos1 >= 3) then { _cntobjs1 = round(random 1) + 2;}; + if (count _bldpos1 >= 8) then { _cntobjs1 = round(random 2) + 6;}; + if (count _bldpos1 >= 10) then {_cntobjs1 = round(random 3) + 7;}; + + { + if (alive _x) then + { + If (canmove _x) then + { + If (vehicle _x == _x) then + { + If (_cntobjs1 > 0) then + { + _movein pushback _x; + _cntobjs1 = _cntobjs1 - 1; + }; + }; + }; + }; + } foreach _units; + + if (count _movein > 0) then + { + { + If (count _bldpos1 > 0) then + { + _result = [_bldpos1] call UPSMON_Checkfreebldpos; + If (count _result > 0) then + { + _altura = _result select 0; + _id2 = _result select 1; + _x setpos _altura; + dostop _x; + if ((group _x) getvariable ["UPSMON_NOWP",0] > 2) then {_x disableAI "TARGET"}; + [_x,getdir _x,_bld] spawn UPSMON_UnitWatchDir; + _bldpos1 set [_id2,"deletethis"]; + _bldpos1 = _bldpos1 - ["deletethis"]; + _units = _units - [_x]; + }; + }; + } foreach _movein; + }; + }; + _blds2 pushback [_bld,[_bldpos1,_bldpos2]]; +} foreach _blds; + +_blds = _blds2; + +If (count _units > 0) then +{ + _i = _i +1; + _units = [_units,_blds,_i] call UPSMON_SpawninBuildings; +}; + +_units \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_moveBuildings.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_moveBuildings.sqf new file mode 100644 index 0000000000000000000000000000000000000000..0d0588722432d2dc2c636179be794ea89152fec1 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_moveBuildings.sqf @@ -0,0 +1,105 @@ +/**************************************************************** +File: UPSMON_moveBuildings.sqf +Author: Monsada + +Description: + +Parameter(s): + <--- array of units + <--- array of buildingsinfo [_bld,pos] + <--- must patrol or not +Returns: + nothing +****************************************************************/ + +private ["_wait","_minpos","_units","_blds","_blds2","_UPSMON_Bld_ruins","_i","_arraybld","_bld","_bldpos1","_bldpos2","_cntobjs1","_movein","_result","_altura","_id2"]; + +_wait = 60; +_minpos = 2; + +_units = _this select 0; +_blds = _this select 1; +_i = 0; +if ((count _this) > 2) then {_wait = _this select 2;}; +if ((count _this) > 3) then {_i = _this select 3;}; + +if (_i > 7) exitwith {_units}; + +_UPSMON_Bld_ruins = ["Land_Unfinished_Building_01_F","Land_Unfinished_Building_02_F","Land_d_Stone_HouseBig_V1_F","Land_d_Stone_Shed_V1_F","Land_u_House_Small_02_V1_F","Land_i_Stone_HouseBig_V1_F","Land_u_Addon_02_V1_F","Land_Cargo_Patrol_V1_F"]; +_blds2 = []; +if (UPSMON_Debug>0) then {diag_log format["MON_moveBuildings _units=%1 _blds=%2",count _units, count _blds];}; + + +{ + _arraybld = _x; + _bld = _x select 0; + _bldpos1 = (_x select 1) select 0; + _bldpos2 = (_x select 1) select 1; + + If (count _bldpos1 < _minpos) then {_bldpos1 = (_x select 1) select 1;_bldpos2 = _bldpos1;}; + if ("deletethis" in _bldpos1) then {_bldpos1 = _bldpos1 - ["deletethis"];}; + + if ( count _bldpos1 >= _minpos ) then + { + _cntobjs1 = 1; + _movein = []; + if (count _bldpos1 >= 3) then { _cntobjs1 = round(random 1) + 2;}; + if (count _bldpos1 >= 8) then { _cntobjs1 = round(random 2) + 6;}; + if (count _bldpos1 >= 10) then {_cntobjs1 = round(random 3) + 7;}; + + { + if (alive _x) then + { + If (canmove _x) then + { + If (vehicle _x == _x) then + { + If (_cntobjs1 > 0) then + { + _movein pushback _x; + _cntobjs1 = _cntobjs1 - 1; + }; + }; + }; + }; + } foreach _units; + + if (count _movein > 0) then + { + { + If (count _bldpos1 > 0) then + { + _result = [_bldpos1] call UPSMON_Checkfreebldpos; + If (count _result > 0) then + { + _altura = _result select 0; + _id2 = _result select 1; + [_x,_bld,_altura,_wait,_arraybld] spawn UPSMON_movetoBuilding; + _bldpos1 set [_id2,"deletethis"]; + _bldpos1 = _bldpos1 - ["deletethis"]; + _units = _units - [_x]; + }; + }; + } foreach _movein; + }; + }; + _blds2 pushback [_bld,[_bldpos1,_bldpos2]]; +} foreach _blds; +_blds = _blds2; + + +if (count _units > 0) then +{ + _i = _i + 1; + _units = [_units,_blds,_wait,_i] call UPSMON_moveBuildings; +}; + +if (_i <= 1) then +{ + { + _bld = _x select 0; + If (!(typeof _bld in _UPSMON_Bld_ruins)) then {[_bld] execvm "Scripts\UPSMON\COMMON\UPSMON_CloseDoor.sqf";}; + } foreach _blds; +}; + +_units \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_moveNearestBuildings.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_moveNearestBuildings.sqf new file mode 100644 index 0000000000000000000000000000000000000000..fe09ea8ec49020105c398d550326b636b23836cf --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Fnc/UPSMON_moveNearestBuildings.sqf @@ -0,0 +1,41 @@ +/**************************************************************** +File: UPSMON_moveNearestBuildings.sqf +Author: Monsada + +Description: + move all units of squad to the nearest building + +Parameter(s): + <--- leader + <--- distance to search buildings (optional, 25 by default) + <--- must patrol or not +Returns: + Buildings array +****************************************************************/ + +private ["_distance","_wait","_npc","_units","_blds"]; + +_distance = 30; +_wait=60; + +_npc = _this select 0; +_units = _this select 1; +_distance = _this select 2; +if ((count _this) > 3) then {_wait = _this select 3;}; + +_blds = []; + +_units = [_units] call UPSMON_getunits; + +if (UPSMON_Debug>0) then {diag_log format["UPSMON_moveNearestBuildings _units=%1 _blds=%2",_units,_blds];}; +if (count _units == 0) exitwith {_units}; + +//Obtenemos los edificios cercanos al lider +_blds = [getposATL _npc,"RANDOMA",_distance,"",false] call UPSMON_GetNearestBuildings; + +if (count _blds==0) exitwith {_units}; + +//Movemos a la unidades a los edificios cercanos. +_units = [_units,_blds,_wait] call UPSMON_moveBuildings; + +_units \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..b3e750282b878bb7d1bb1e689169a69916a15000 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/FORTIFY/Init.sqf @@ -0,0 +1,12 @@ + +UPSMON_SpawninBuildings = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\FORTIFY\fnc\UPSMON_SpawninBuildings.sqf"; + +UPSMON_moveBuildings = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\FORTIFY\fnc\UPSMON_moveBuildings.sqf"; +UPSMON_moveNearestBuildings = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\FORTIFY\fnc\UPSMON_moveNearestBuildings.sqf"; +UPSMON_movetoBuilding = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\FORTIFY\fnc\UPSMON_movetoBuilding.sqf"; + +UPSMON_unitdefend = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\FORTIFY\fnc\UPSMON_unitdefend.sqf"; +UPSMON_Fortify = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\FORTIFY\fnc\UPSMON_Fortify.sqf"; + +UPSMON_patrolBuilding = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\FORTIFY\fnc\UPSMON_patrolBuilding.sqf"; + diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..be6e019988ef6202dd5b1668e65ba134021d412f --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/Init.sqf @@ -0,0 +1,5 @@ + +UPSMON_CLONES = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\UPSMON_CLONES.sqf"; + +UPSMON_RESPAWN = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\UPSMON_RESPAWN.sqf"; +UPSMON_SPAWN = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\UPSMON_SPAWN.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_ASSAULT/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_ASSAULT/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..886cb39a5fdd71d6c44be5e71091d752796e9d5c --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_ASSAULT/Init.sqf @@ -0,0 +1,5 @@ + +UPSMON_DOASSAULT = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ORDERS\UPSMON_ASSAULT\fnc\UPSMON_DOASSAULT.sqf"; +UPSMON_PLANASSLT = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ORDERS\UPSMON_ASSAULT\fnc\UPSMON_PLANASSLT.sqf"; + +UPSMON_Assltbld = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ORDERS\UPSMON_ASSAULT\fnc\UPSMON_Assltbld.sqf"; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_ASSAULT/fnc/UPSMON_Assltposition.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_ASSAULT/fnc/UPSMON_Assltposition.sqf new file mode 100644 index 0000000000000000000000000000000000000000..53b3eb5e2e50e180c4fa13f1b6f0be5b4aade937 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_ASSAULT/fnc/UPSMON_Assltposition.sqf @@ -0,0 +1,53 @@ +/**************************************************************** +File: UPSMON_Assltbld.sqf +Author: Azroul13 + +Description: + The script will assign a patrol waypoint to the group + +Parameter(s): + <--- Group + <--- attack position + <--- Type of group +Returns: + nothing +****************************************************************/ + +private ["_grp","_target","_attackpos","_currpos","_assignedvehicles","_capacityofgrp","_bld","_teams","_teamsupport","_teamasslt","_time"]; + +_grp = _this select 0; +_targetpos = _this select 1; +_currpos = _this select 2; + +If (!(_grp getvariable ["UPSMON_GrpinAction",false])) then +{ + _teams = [_grp] call UPSMON_composeteam; + If (count _teams > 0) then + { + _grp setvariable ["UPSMON_GrpinAction",true]; + _teamsupport = _teams select 0; + _teamasslt = _teams select 1; + + _dir =[_currpos,_targetpos] call BIS_fnc_DirTo; + + If (count _teamasslt > 0) then + { + { + If (alive _x) then + { + Dostop _x; + [_x,_targetpos,2] call UPSMON_DOwatch; + _pos = [_targetpos,_dir] call UPSMON_overwatch; + _x domove _pos; + _x suppressfor 100; + }; + } foreach _teamsupport; + + // angle from unit to target + _targetpos = [_targetpos,_dir] call UPSMON_overwatch; + _teamasslt domove _targetpos; + }; + }; +}; + +_grp setvariable ["UPSMON_GrpinAction",false]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_ASSAULT/fnc/UPSMON_DOASSAULT.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_ASSAULT/fnc/UPSMON_DOASSAULT.sqf new file mode 100644 index 0000000000000000000000000000000000000000..66da3a02fb91d9ba121778eec2144e7f754e0a84 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_ASSAULT/fnc/UPSMON_DOASSAULT.sqf @@ -0,0 +1,46 @@ +/**************************************************************** +File: UPSMON_DOASSAULT.sqf +Author: Azroul13 + +Description: + The script will assign a patrol waypoint to the group + +Parameter(s): + <--- Group + <--- attack position + <--- Type of group +Returns: + nothing +****************************************************************/ + +private ["_grp","_attackpos","_typeofgrp","_radius","_speed","_dist","_combatmode"]; + +_grp = _this select 0; +_attackpos = _this select 1; +_typeofgrp = _this select 2; +_dist = _this select 3; + +_grp setvariable ["UPSMON_searchingpos",true]; + +_radius = 20; +_speed = "LIMITED"; +_combatmode = "YELLOW"; + +If ("air" in _typeofgrp) then +{ + _radius = 400; + _speed = "FULL"; + _combatmode = "RED"; +} +else +{ + If (_dist <= 100) then + { + _combatmode = "RED"; + }; +}; + +[_grp,_attackpos,"SAD","LINE",_speed,"COMBAT",_combatmode,_radius] call UPSMON_DocreateWP; +_grp setvariable ["UPSMON_targetPos",_attackpos]; +_grp setvariable ["UPSMON_Lastattackpos",_attackpos]; +_grp setvariable ["UPSMON_searchingpos",false]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_DEFEND/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_DEFEND/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..cc041f1400b210c46affe66e5f2d85c21b611c87 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_DEFEND/Init.sqf @@ -0,0 +1,3 @@ + +UPSMON_DODEFEND = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ORDERS\UPSMON_DEFEND\fnc\UPSMON_DODEFEND.sqf"; +UPSMON_SrchGuardPos = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ORDERS\UPSMON_DEFEND\fnc\UPSMON_SrchGuardPos.sqf"; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_DEFEND/fnc/UPSMON_DODEFEND.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_DEFEND/fnc/UPSMON_DODEFEND.sqf new file mode 100644 index 0000000000000000000000000000000000000000..4655293dba217c91bc4d08eb2422ccfa2034c4ef --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_DEFEND/fnc/UPSMON_DODEFEND.sqf @@ -0,0 +1,53 @@ +/**************************************************************** +File: UPSMON_DODEFEND.sqf +Author: Azroul13 + +Description: + The script will assign a defense waypoint to the group + +Parameter(s): + <--- Group + <--- distance between group and enemy + <--- Target + <--- Id of the group + <--- position of the target + <--- Supressed (boolean) + +Returns: + nothing +****************************************************************/ + +private ["_grp","_dist","_target","_supressed","_terrainscan","_wptype","_wpformation","_speedmode","_Behaviour","_npc","_targetPos","_CombatMode"]; + +_grp = _this select 0; +_dist = _this select 1; +_target = _this select 2; +_supstatus = _this select 3; +_terrainscan = _this select 4; + +_npc = leader _grp; +_targetPos = getposATL _npc; + +_wptype = "HOLD"; +_wpformation = "LINE"; +_speedmode = "LIMITED"; +_Behaviour = "STEALTH"; +_CombatMode = "YELLOW"; + +If (IsNull _target) then {_wpformation = "DIAMOND";}; +If (_supstatus != "SUPRESSED") then {_Behaviour = "COMBAT";_speedmode = "NORMAL";}; + +if ((_terrainscan select 0) == "meadow" && (_terrainscan select 1) < 100 && _supstatus != "SUPRESSED") then +{ + _targetPos = [_targetPos,[0,360],100] call UPSMON_SrchGuardPos; + _nosmoke = [_grp] call UPSMON_NOSMOKE; + If (!_nosmoke) then {[units _grp,getposATL _target] spawn UPSMON_CreateSmokeCover;}; + [_grp,_targetPos,"MOVE","STAG COLUMN","FULL","COMBAT",_CombatMode,1] call UPSMON_DocreateWP; + [_grp,_targetPos,_wptype,_wpformation,_speedmode,_Behaviour,_CombatMode,1] call UPSMON_DoaddWP; +} +else +{ + [_grp,_targetpos,_wptype,_wpformation,_speedmode,_Behaviour,_CombatMode,1] call UPSMON_DocreateWP; +}; + +_grp setvariable ["UPSMON_targetPos",_targetPos]; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_DEFEND/fnc/UPSMON_SrchGuardPos.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_DEFEND/fnc/UPSMON_SrchGuardPos.sqf new file mode 100644 index 0000000000000000000000000000000000000000..c63f1e8126fe19b390aa36e5bfc8c1913b01f6b5 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_DEFEND/fnc/UPSMON_SrchGuardPos.sqf @@ -0,0 +1,45 @@ +/**************************************************************** +File: UPSMON_SrchGuardPos.sqf +Author: Azroul13 + +Description: + Search a covered position to defend + +Parameter(s): + <--- leader of the group + <--- enemy position + <--- Direction to search + <--- Distance where to begin the search + +Returns: + Position +****************************************************************/ + +private ["_currpos","_direction","_dist","_targetPosTemp","_pool","_distmin","_i","_targetPosTemp"]; + +_currpos = _this select 0; +_direction = _this select 1; +_dist = _this select 2; + +_guardPos = []; +_targetPosTemp = []; +_pool = []; +_distmin = 5; +_i = 0; + +while {count _guardPos == 0 && _i < 30} do +{ + _i = _i + 1; + _targetPosTemp = [_currpos,[_dist,_dist + 100],_direction,0,[0,50],_distmin] call UPSMON_pos; + if (!(surfaceIsWater _targetPosTemp)) then + { + _terrainscan = _targetPosTemp call UPSMON_sample_terrain; + If ((_terrainscan select 0) == "inhabited" || (_terrainscan select 0) == "forest") then + { + _guardPos = _targetPosTemp; + }; + }; +}; + +if (count _guardPos == 0) then {_guardPos = _currpos;}; +_guardPos; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_FLANK/Init.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_FLANK/Init.sqf new file mode 100644 index 0000000000000000000000000000000000000000..f0676c6b99e45de72503837f21a7d9121d2f940b --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_FLANK/Init.sqf @@ -0,0 +1,5 @@ + +UPSMON_DOFLANK = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ORDERS\UPSMON_FLANK\fnc\UPSMON_DOFLANK.sqf"; +UPSMON_PLANFLANK = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ORDERS\UPSMON_FLANK\fnc\UPSMON_PLANFLANK.sqf"; +UPSMON_SrchFlankPos = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ORDERS\UPSMON_FLANK\fnc\UPSMON_SrchFlankPos.sqf"; +UPSMON_SrchFlankPosforboat = compile preProcessFileLineNumbers "Scripts\UPSMON\MODULES\ORDERS\UPSMON_FLANK\fnc\UPSMON_SrchFlankPosforboat.sqf"; diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_FLANK/fnc/UPSMON_PLANFLANK.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_FLANK/fnc/UPSMON_PLANFLANK.sqf new file mode 100644 index 0000000000000000000000000000000000000000..23665795952903a1044667dd1fb7d5c4dcc36f26 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/ORDERS/UPSMON_FLANK/fnc/UPSMON_PLANFLANK.sqf @@ -0,0 +1,45 @@ +/**************************************************************** +File: UPSMON_DOATTACK.sqf +Author: Azroul13 + +Description: + The script will assign a combat waypoint to the group + +Parameter(s): + +Returns: + nothing +****************************************************************/ + +private ["_grp","_attackpos","_lastattackpos","_dist","_typeofgrp","_terrainscan","_areamarker","_haslos","_attackdist","_timeorder"]; + +_grp = _this select 0; +_attackpos = _this select 1; +_lastattackpos = _this select 2; +_dist = _this select 3; +_typeofgrp = _this select 4; +_terrainscan = _this select 5; +_areamarker = _this select 6; +_haslos = _this select 7; +_targetpos = _this select 8; + +_attackdist = 1000; +_grp setvariable ["UPSMON_Grpmission","FLANK"]; + +If (!(_grp getvariable ["UPSMON_searchingpos",false])) then +{ + If (count _lastattackpos > 0) then + { + _attackdist = ([_lastattackpos,_attackpos] call UPSMON_distancePosSqr); + }; + + If (_attackdist > 50 || count(waypoints _grp) == 0 || Unitready (leader _grp) || moveToCompleted (leader _grp) || (_grp getvariable ["UPSMON_TIMEONTARGET",time] <= time) || _targetdist <= 50) then + { + If (_grp getvariable ["UPSMON_TIMEORDER",time] <= time) then + { + [_grp,_attackPos,_dist,_typeofgrp,_terrainscan,_areamarker,_haslos] spawn UPSMON_DOFLANK; + _timeorder = time + 10; + _grp setvariable ["UPSMON_TIMEORDER",_timeorder]; + }; + }; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_CLONES.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_CLONES.sqf new file mode 100644 index 0000000000000000000000000000000000000000..608c38997f1608c92c8f7d924c08fe765e9c2681 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_CLONES.sqf @@ -0,0 +1,89 @@ +/**************************************************************** +File: UPSMON_Clones.sqf +Author: Monsada + +Description: + The script will create X Group with the same parameters and unit than the group of reference + +Parameter(s): + <--- Parameters of the original group + <--- Minimum number of group to create + <--- Maximum number of group to create +Returns: + nothing +****************************************************************/ + +private ["_Ucthis","_mincopies","_maxcopies","_copies","_grpcnt","_unittype","_grp","_lead","_initstr","_members","_newunit"]; + +_Ucthis = _this select 0; +_mincopies = _this select 1; +_maxcopies = _this select 2; + +_npc = _Ucthis select 0; +_grp = group _npc; +_members = (_this select 3) select 0; +_grpcnt = count units _npc; +_orgPos = (_grp getvariable "UPSMON_Origin") select 0; +_behaviour = (_grp getvariable "UPSMON_Origin") select 1; +_speedmode = (_grp getvariable "UPSMON_Origin") select 2; +If (UPSMON_Debug > 0) then {diag_log format ["%1 copy",_npc];}; +_copies=_mincopies+random (_maxcopies-_mincopies); + +// create the clones +for "_grpcnt" from 1 to _copies do +{ + // copy groups + if (isNil ("UPSMON_grpindex")) then {UPSMON_grpindex = 0}; + UPSMON_grpindex = UPSMON_grpindex+1; + + _grp=createGroup (side _npc); + // make the clones civilians + // use random Civilian models for single unit groups + // any init strings? + _initstr = ["INIT:","",_UCthis] call UPSMON_getArg; + _lead = ObjNull; + // copy team members (skip the leader) + _c=0; + { + _unittype = _x select 0; + if (((side _npc) == Civilian) && (count _members==1)) then {_rnd=1+round(random 20); if (_rnd>1) then {_unittype=format["Civilian%1",_rnd]}}; + _roletype = _x select 2; + _targetpos = _orgpos findEmptyPosition [5,50]; + if (count _targetpos == 0) then {_targetpos = _orgpos}; + _newunit = _grp createUnit [_unittype, _targetpos, [], 0, "FORM"]; + _newunit setBehaviour _behaviour; + _newunit setSpeedMode _speedmode; + _equipment = _x select 1; + [_newunit,_equipment] call UPSMON_addequipment; + + if (isMultiplayer) then + { + [[netid _newunit, _initstr], "UPSMON_fnc_setVehicleInit", true, true] spawn BIS_fnc_MP; + } + else + { + _unitstr = "_newunit"; + _index=[_initstr,"this",_unitstr] call UPSMON_Replace; + call compile format ["%1",_index]; + }; + + If (count _roletype > 0) then + { + _crews pushback [_newunit,_roletype]; + }; + + [_newunit] join _grp; + If (_c == 0) then + { + _grp selectLeader _newunit; + _lead = _newunit; + }; + _c=_c+1; + sleep 0.1; + } foreach _members; + + _Ucthis set [0,_lead]; + nul= _Ucthis spawn UPSMON; + //sleep .05; +}; +sleep .05; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_ModifyUcthis.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_ModifyUcthis.sqf new file mode 100644 index 0000000000000000000000000000000000000000..a4f239f70f97d7eaa5970adc29b64d5ee8ba8843 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_ModifyUcthis.sqf @@ -0,0 +1,17 @@ + +private ["_npc"]; + +_npc = _this select 0; +_grp = group _npc; + +If (!IsNull _npc && alive _npc && _grp in UPSMON_NPCs) then +{ + _grp setvariable ["UPSMON_Removegroup",true]; + + waituntil {!alive _npc || !(_grp in UPSMON_NPCs)}; + + If (alive _npc) then + { + _this execvm "Scripts\UPSMON.sqf"; + }; + }; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_RESPAWN.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_RESPAWN.sqf new file mode 100644 index 0000000000000000000000000000000000000000..5fb7206ff514ea3dde606cf57988ec1de74b4de3 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_RESPAWN.sqf @@ -0,0 +1,216 @@ +/**************************************************************** +File: UPSMON_RESPAWN.sqf +Author: Monsada + +Description: + The script will create X Group with the same parameters and unit than the group of reference + +Parameter(s): + <--- Parameters of the original group + <--- Surrended (boolean) + <--- Side of the group +Returns: + nothing +****************************************************************/ +private ["_grp","_grpidx","_track","_orgpos","_respawn","_respawnmax","_unittype","_membertypes","_rnd","_grp","_lead","_initstr","_targetpos","_spawned","_vehicletypes","_UCthis","_respawndelay","_group","_puf"]; + +_grp = _this select 0; +_UCthis = _this select 1; +//[_currpos,_behaviour,_speed,_formation,_members,_side] +_puf = _grp getvariable ["UPSMON_Origin",[[0,0,0],"NORMAL","WEDGE",[objNull],independent]];//modified to avoid .rpt error reports +_side = _puf select 5; +if (isNil "_side") then {_side = independent};//by Barbolani to avoid some unknown bugs +_grpid = _grp getvariable ["UPSMON_Grpid",0]; +_removeunit = _grp getvariable ["UPSMON_Removegroup",false]; + +_dist = 1000; +_respawnmax = 0; + + +if (UPSMON_Debug>0) then {hint format["%1 exiting mainloop",_grpid]; diag_log format ["exit: %1 %2 %3 %4",_grp,units _grp,alive leader _grp,_removeunit];}; +//Limpiamos variables globales de este grupo +//UPSMON_targetsPos set [_grpid,[0,0]]; +if (_side == civilian) then +{ + if (_grp in UPSMON_Civs) then {UPSMON_Civs = UPSMON_Civs - [_grp];}; +} +else +{ + if (_grp in UPSMON_NPCs) then {UPSMON_NPCs = UPSMON_NPCs - [_grp];}; +}; + +switch (_side) do +{ + case West: + { + if (_grp in UPSMON_TRANSPORT_WEST_UNITS) then {UPSMON_TRANSPORT_WEST_UNITS = UPSMON_TRANSPORT_WEST_UNITS - [_grp];}; + if (_grp in UPSMON_REINFORCEMENT_WEST_UNITS) then {UPSMON_REINFORCEMENT_WEST_UNITS = UPSMON_REINFORCEMENT_WEST_UNITS - [_grp];}; + if (_grp in UPSMON_ARTILLERY_WEST_UNITS) then {UPSMON_ARTILLERY_WEST_UNITS = UPSMON_ARTILLERY_WEST_UNITS - [_grp];}; + }; + case EAST: + { + if (_grp in UPSMON_TRANSPORT_EAST_UNITS) then {UPSMON_TRANSPORT_EAST_UNITS = UPSMON_TRANSPORT_EAST_UNITS - [_grp];}; + if (_grp in UPSMON_REINFORCEMENT_EAST_UNITS) then {UPSMON_REINFORCEMENT_EAST_UNITS = UPSMON_REINFORCEMENT_EAST_UNITS - [_grp];}; + if (_grp in UPSMON_ARTILLERY_EAST_UNITS) then {UPSMON_ARTILLERY_EAST_UNITS = UPSMON_ARTILLERY_EAST_UNITS - [_grp];}; + }; + case resistance: + { + if (_grp in UPSMON_TRANSPORT_GUER_UNITS) then {UPSMON_TRANSPORT_GUER_UNITS = UPSMON_TRANSPORT_GUER_UNITS - [_grp];}; + if (_grp in UPSMON_REINFORCEMENT_GUER_UNITS) then {UPSMON_REINFORCEMENT_GUER_UNITS = UPSMON_REINFORCEMENT_GUER_UNITS - [_grp];}; + if (_grp in UPSMON_ARTILLERY_GUER_UNITS) then {UPSMON_ARTILLERY_GUER_UNITS = UPSMON_ARTILLERY_GUER_UNITS - [_grp];}; + }; + +}; + +UPSMON_Exited=UPSMON_Exited+1; + +If (!_removeunit) then +{ + + sleep (_grp getvariable ["UPSMON_RESPAWNDELAY",0]); + + _respawnmax = _grp getvariable ["UPSMON_RESPAWNTIME",0]; + _orgpos = _grp getvariable ["UPSMON_RESPAWNPOS",[0,0,0]]; + //Verify if targets near respawn + _mensnear = _orgpos nearentities [["CAManBase","TANK","CAR"],800]; + _enemySides = _side call BIS_fnc_enemySides; + _enynear = false; + { + If (side _x in _enemySides) then {_enynear = true;} + } foreach _mensnear; + + //does respawn of group ===================================================================================================== + if (_grp getvariable ["UPSMON_RESPAWN",false] && _respawnmax > 0 && (_grp getvariable ["UPSMON_Grpmission",""] != "SURRENDER") && !_enynear) then + { + if (UPSMON_Debug>0) then {player sidechat format["%1 doing respawn",_grpid]}; + + _membertypes = (_grp getvariable "UPSMON_RESPAWNUNITS") select 0; + _vehicletypes = (_grp getvariable "UPSMON_RESPAWNUNITS") select 1; + _crews = []; + + // any init strings? + _initstr = ["INIT:","",_UCthis] call UPSMON_getArg; + + // make the clones civilians + // use random Civilian models for single unit groups + + _group = createGroup _side; + + _lead = ObjNull; + // copy team members (skip the leader) + _i=0; + { + _unittype = _x select 0; + if (_side == Civilian) then {_rnd=1+round(random 20); if (_rnd>1) then {_unittype=format["Civilian%1",_rnd]}}; + _roletype = _x select 2; + _targetpos = _orgpos findEmptyPosition [5,50]; + if (count _targetpos == 0) then {_targetpos = _orgpos}; + _newunit = _group createUnit [_unittype, _targetpos, [], 0, "FORM"]; + _equipment = _x select 1; + [_newunit,_equipment] call UPSMON_addequipment; + + if (isMultiplayer) then + { + [[netid _newunit, _initstr], "UPSMON_fnc_setVehicleInit", true, true] spawn BIS_fnc_MP; + } else + { + _unitstr = "_newunit"; + _index=[_initstr,"this",_unitstr] call UPSMON_Replace; + call compile format ["%1",_index]; + }; + + If (count _roletype > 0) then + { + _crews pushback [_newunit,_roletype]; + }; + + [_newunit] join _group; + If (_i == 0) then + { + _group selectLeader _newunit; + _lead = _newunit; + }; + _i=_i+1; + sleep 0.1; + } foreach _membertypes; + + + if ( _lead == vehicle _lead) then { + { + if (alive _x && canmove _x) then + { + [_x] dofollow _lead; + }; + sleep 0.1; + } foreach units _lead; + }; + + { + _vehicle = _x; + _targetpos = _orgpos findEmptyPosition [10, 200]; + if (count _targetpos == 0) then {_targetpos = _orgpos}; + //if (UPSMON_Debug>0) then {player globalchat format["%1 create vehicle _newpos %2 ",_x,_targetpos]}; + _newunit = (_vehicle select 0) createvehicle (_targetpos); + _newunit setdir (_vehicle select 1); + { + _crew = _x select 0; + _role = (_x select 1) select 0; + unassignVehicle _crew; + switch (_role) do + { + case "driver": + { + _crew moveindriver _newunit + }; + case "commander": + { + _crew moveincommander _newunit + }; + case "Turret": + { + _crew moveInTurret [_newunit,(_x select 1) select 1] + }; + case "cargo": + { + _crew moveinCargo _newunit + }; + case "default": + { + }; + }; + sleep 0.02; + } foreach _crews; + } foreach _vehicletypes; + + + //if (UPSMON_Debug>0) then {player globalchat format["%1 _vehicletypes: %2",_grpidx, _vehicletypes]}; + + _spawned= if ("SPAWNED" in _UCthis) then {true} else {false}; + //Set new parameters + if (!_spawned) then + { + + _UCthis = _UCthis + ["SPAWNED"]; + + if ((count _vehicletypes) > 0) then + { + _UCthis = _UCthis + ["VEHTYPE:"] + ["dummyveh"]; + }; + }; + + + _UCthis set [0,_lead]; + _respawnmax = _respawnmax - 1; + _UCthis = ["RESPAWN:",_respawnmax,_UCthis] call UPSMON_setArg; + sleep 0.1; + _UCthis = ["VEHTYPE:",_vehicletypes,_UCthis] call UPSMON_setArg; + + //Exec UPSMON script + _UCthis spawn UPSMON; + sleep 0.1; + }; +}; + +if (({alive _x} count units _grp) == 0 ) then { + deleteGroup _grp; +}; \ No newline at end of file diff --git a/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_spawn.sqf b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_spawn.sqf new file mode 100644 index 0000000000000000000000000000000000000000..09ec4f96d01c027a2383bc2bd912c877937fe346 --- /dev/null +++ b/A3-Antistasi-master/A3-Antistasi/Scripts/UPSMON/MODULES/UPSMON_spawn.sqf @@ -0,0 +1,157 @@ + +/**************************************************************** +File: UPSMON_spawn.sqf +Author: Monsada + +Description: + The script will spawn a squad based on a template. + Called by the mission creator: + nul = [1,[0,0,0],3,[mark, upsmon optional params]] EXECVM "SCRIPTS\UPSMON\MODULES\UPSMON_SPAWN.SQF"; + +Parameter(s): + <--- Id of the template to copy. + <--- Position to create new squad. + <--- Number of squads to create + <--- Array of parameters of UPSMON, first must be name of marker to patrol +Returns: + nothing +****************************************************************/ + + //if (!isserver) exitWith {}; +if (!isServer) exitWith {}; + +//Waits until UPSMON is init +waitUntil {!isNil("UPSMON_INIT")}; +waitUntil {UPSMON_INIT==1}; +private ["_template","_position","_params","_copies","_membertypes","_unittype","_side","_UCthis","_initstr","_grp","_lead","_newunit","_i","_newpos","_vehicle","_initlstr"]; + +//Parameter reading +_template = _this select 0; +_position = _this select 1; +_copies = _this select 2; +_params = _this select 3; + +//Initialization +_membertypes = []; +_side = ""; +_UCthis = []; +_initstr = ""; +_initlstr = ""; +_grp = grpnull; +_lead = objnull; +_newunit = objnull; +_newpos=[]; +_vehicle=[]; + +//Gets parameters of UPSMON +for [{_i=0},{_i0) then {player globalchat format["Spawning %3 copies of template %1",_template,_position,_copies,count UPSMON_TEMPLATES]}; +if (UPSMON_Debug>0) then {diag_log format["Spawning %3 copies of template %1 on %2 templates %4",_template,_position,_copies,UPSMON_TEMPLATES]}; + +//Search if any template +{ + if ((_x select 0) == _template) then + { + _side = _x select 1; + _membertypes = _x select 2; + _vehicletypes = _x select 3; + //Gets leader type + if (UPSMON_Debug>0) then {diag_log format["template %1 side %2 membertypes %3",_template,_side,_membertypes]}; + //if (UPSMON_Debug>0) then {player globalchat format["template %1:%2 ",_template,_membertypes]}; + // any init strings? + _initstr = ["INIT:","",_UCthis] call UPSMON_getArg; + + for [{_i=1},{_i<=_copies},{_i=_i+1}] do + { + + // make the clones civilians + // use random Civilian models for single unit groups + //if ((_side == "Civilian") && (count _members==1)) then {_rnd=1+round(random 20); if (_rnd>1) then {_unittype=format["Civilian%1",_rnd]}}; + + _grp=createGroup _side; + + _lead = ObjNull; + // copy team members (skip the leader) + _c=0; + { + _unittype = _x select 0; + _roletype = _x select 2; + _targetpos = _orgpos findEmptyPosition [5,50]; + if (count _targetpos == 0) then {_targetpos = _orgpos}; + _newunit = _grp createUnit [_unittype, _targetpos, [], 0, "FORM"]; + _equipment = _x select 1; + [_newunit,_equipment] call UPSMON_addequipment; + + if (isMultiplayer) then + { + [[netid _newunit, _initstr], "UPSMON_fnc_setVehicleInit", true, true] spawn BIS_fnc_MP; + } else + { + _unitstr = "_newunit"; + _index=[_initstr,"this",_unitstr] call UPSMON_Replace; + call compile format ["%1",_index]; + }; + + If (count _roletype > 0) then + { + _crews pushback [_newunit,_roletype]; + }; + + [_newunit] join _grp; + If (_c == 0) then + { + _grp selectLeader _newunit; + _lead = _newunit; + }; + _c=_c+1; + sleep 0.1; + } foreach _membertypes; + + + { + _vehicle = _x; + _targetpos = _orgpos findEmptyPosition [10, 200]; + sleep .4; + if (count _targetpos <= 0) then {_targetpos = _orgpos}; + //if (UPSMON_Debug>0) then {player globalchat format["%1 create vehicle _newpos %2 ",_x,_targetpos]}; + _newunit = (_x select 0) createvehicle (_targetpos); + _newunit setdir (_x select 1); + _crews = _x select 2; + { + _crew = _x select 1; + _role = (_x select 2) select 0; + _newunit = _grp createUnit [_crew, _orgpos, [], 0, "FORM"]; + switch (_role) do + { + case "Driver": + { + _newunit moveindriver _vehicle + }; + case "COMMANDER": + { + _newunit moveincommander _vehicle + }; + case "TURRET": + { + _newunit moveInTurret [_vehicle,(_x select 2) select 1] + }; + }; + } foreach _crews; + } foreach _vehicletypes; + + //Set new parameters + _params = [_lead] + _UCthis; + + //Exec UPSMON script + _params SPAWN UPSMON; + }; + }; +}foreach UPSMON_TEMPLATES; + +if (true) exitwith{}; \ No newline at end of file diff --git a/AASC-Android-Application-Signature-Creation-Through-Graphs-master/img/matplotlib.svg b/AASC-Android-Application-Signature-Creation-Through-Graphs-master/img/matplotlib.svg new file mode 100644 index 0000000000000000000000000000000000000000..b754b4945ea062ac23a82ef2318d63b5a848e18e --- /dev/null +++ b/AASC-Android-Application-Signature-Creation-Through-Graphs-master/img/matplotlib.svg @@ -0,0 +1,23 @@ + + + + + + + + + + + + + + + matplotlib + matplotlib + pkg + pkg + + + + + \ No newline at end of file diff --git a/AASC-Android-Application-Signature-Creation-Through-Graphs-master/img/networkx.svg b/AASC-Android-Application-Signature-Creation-Through-Graphs-master/img/networkx.svg new file mode 100644 index 0000000000000000000000000000000000000000..56fcf61243a6a48e028c519551c92c6f3c09e8cc --- /dev/null +++ b/AASC-Android-Application-Signature-Creation-Through-Graphs-master/img/networkx.svg @@ -0,0 +1,23 @@ + + + + + + + + + + + + + + + networkx + networkx + pkg + pkg + + + + + \ No newline at end of file diff --git a/ABall-master/images/background2.jpg b/ABall-master/images/background2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3e88f12e9948bb85e378f72a2ad2972352f95ed0 --- /dev/null +++ b/ABall-master/images/background2.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:336935c7521c1c0d5807d6b7ee6da128b801797a7fd0dc9c0d30448ae41089b6 +size 466290 diff --git a/ACCEPTME-PROD-master/project/templates/Pricing.html b/ACCEPTME-PROD-master/project/templates/Pricing.html new file mode 100644 index 0000000000000000000000000000000000000000..4f8c51ef28c59b8f5642a09afca188eae20367a3 --- /dev/null +++ b/ACCEPTME-PROD-master/project/templates/Pricing.html @@ -0,0 +1,188 @@ + + + + + + Pricing | AcceptMe | Instagram Requests Acceptor + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+
+
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+
+
+ + +
+
+ + + + + + + + + + {% for elements in users %} + + + + + + + + + + + {% endfor %} +
Instagram UsernameSubscription PlanIs SubscriptionAction
{{ elements.insta_username }} + {% if elements.is_subscribed %} + {{ elements.subscription_plan + " days" }} + {% else %} + + {% endif %} + + {{ elements.is_subscribed }} + + + + +
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+{% endblock %} \ No newline at end of file diff --git a/ACCEPTME-PROD-master/project/templates/error_pages/404.html b/ACCEPTME-PROD-master/project/templates/error_pages/404.html new file mode 100644 index 0000000000000000000000000000000000000000..3f0d5088648428c0e55cde477c7f5c2870eac82c --- /dev/null +++ b/ACCEPTME-PROD-master/project/templates/error_pages/404.html @@ -0,0 +1,17 @@ +{% extends "index.html" %} +{% block content %} +
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+ + + + +{{ footer_content|safe }} + + + + + + + + + + + \ No newline at end of file diff --git a/ACCEPTME-PROD-master/project/templates/test.html b/ACCEPTME-PROD-master/project/templates/test.html new file mode 100644 index 0000000000000000000000000000000000000000..40d3f901243acd36b0eb114885bd84b3f5c25870 --- /dev/null +++ b/ACCEPTME-PROD-master/project/templates/test.html @@ -0,0 +1,189 @@ + + + + + + + + + + + + + + + + + + + + + + + + + Login | AcceptMe.in + + + + + + + +
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+
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+
+
+

Please enter the 2 Factor authentication code sent to you

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+ +{% endblock %} \ No newline at end of file diff --git a/ACCEPTME-PROD-master/project/users/memcache_ctrl.py b/ACCEPTME-PROD-master/project/users/memcache_ctrl.py new file mode 100644 index 0000000000000000000000000000000000000000..5533455ff2db30946eac411b7d3193ac4711dba5 --- /dev/null +++ b/ACCEPTME-PROD-master/project/users/memcache_ctrl.py @@ -0,0 +1,13 @@ +import memcache +import enum + + +client = memcache.Client([('127.0.0.1', 11211)]) + + +class CONSTANT(enum.Enum): + TOTAL_REQUEST_TO_BE_ACCEPT = "total_request_to_be_accept" + IS_REQUEST_COMPLETE = "is_request_complete" + SUCCESSFUL_ACCEPTED = "successful_accepted" + REQUEST_FAILED = "request_failed" + ALL_INFO = "_all_info" \ No newline at end of file diff --git a/ACCEPTME-PROD-master/venv/bin/activate b/ACCEPTME-PROD-master/venv/bin/activate new file mode 100644 index 0000000000000000000000000000000000000000..6b67f3278979dc763e241f7b9f2f846b5765debd --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/activate @@ -0,0 +1,84 @@ +# This file must be used with "source bin/activate" *from bash* +# you cannot run it directly + + +if [ "${BASH_SOURCE-}" = "$0" ]; then + echo "You must source this script: \$ source $0" >&2 + exit 33 +fi + +deactivate () { + unset -f pydoc >/dev/null 2>&1 + + # reset old environment variables + # ! [ -z ${VAR+_} ] returns true if VAR is declared at all + if ! [ -z "${_OLD_VIRTUAL_PATH:+_}" ] ; then + PATH="$_OLD_VIRTUAL_PATH" + export PATH + unset _OLD_VIRTUAL_PATH + fi + if ! [ -z "${_OLD_VIRTUAL_PYTHONHOME+_}" ] ; then + PYTHONHOME="$_OLD_VIRTUAL_PYTHONHOME" + export PYTHONHOME + unset _OLD_VIRTUAL_PYTHONHOME + fi + + # This should detect bash and zsh, which have a hash command that must + # be called to get it to forget past commands. Without forgetting + # past commands the $PATH changes we made may not be respected + if [ -n "${BASH-}" ] || [ -n "${ZSH_VERSION-}" ] ; then + hash -r 2>/dev/null + fi + + if ! [ -z "${_OLD_VIRTUAL_PS1+_}" ] ; then + PS1="$_OLD_VIRTUAL_PS1" + export PS1 + unset _OLD_VIRTUAL_PS1 + fi + + unset VIRTUAL_ENV + if [ ! "${1-}" = "nondestructive" ] ; then + # Self destruct! + unset -f deactivate + fi +} + +# unset irrelevant variables +deactivate nondestructive + +VIRTUAL_ENV="/Users/farhaan/Downloads/acceptme/venv" +export VIRTUAL_ENV + +_OLD_VIRTUAL_PATH="$PATH" +PATH="$VIRTUAL_ENV/bin:$PATH" +export PATH + +# unset PYTHONHOME if set +if ! [ -z "${PYTHONHOME+_}" ] ; then + _OLD_VIRTUAL_PYTHONHOME="$PYTHONHOME" + unset PYTHONHOME +fi + +if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT-}" ] ; then + _OLD_VIRTUAL_PS1="${PS1-}" + if [ "x" != x ] ; then + PS1="${PS1-}" + else + PS1="(`basename \"$VIRTUAL_ENV\"`) ${PS1-}" + fi + export PS1 +fi + +# Make sure to unalias pydoc if it's already there +alias pydoc 2>/dev/null >/dev/null && unalias pydoc || true + +pydoc () { + python -m pydoc "$@" +} + +# This should detect bash and zsh, which have a hash command that must +# be called to get it to forget past commands. Without forgetting +# past commands the $PATH changes we made may not be respected +if [ -n "${BASH-}" ] || [ -n "${ZSH_VERSION-}" ] ; then + hash -r 2>/dev/null +fi diff --git a/ACCEPTME-PROD-master/venv/bin/activate.ps1 b/ACCEPTME-PROD-master/venv/bin/activate.ps1 new file mode 100644 index 0000000000000000000000000000000000000000..95504d3956b326b1ae2ece60f5db082db8d8bf99 --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/activate.ps1 @@ -0,0 +1,60 @@ +$script:THIS_PATH = $myinvocation.mycommand.path +$script:BASE_DIR = Split-Path (Resolve-Path "$THIS_PATH/..") -Parent + +function global:deactivate([switch] $NonDestructive) { + if (Test-Path variable:_OLD_VIRTUAL_PATH) { + $env:PATH = $variable:_OLD_VIRTUAL_PATH + Remove-Variable "_OLD_VIRTUAL_PATH" -Scope global + } + + if (Test-Path function:_old_virtual_prompt) { + $function:prompt = $function:_old_virtual_prompt + Remove-Item function:\_old_virtual_prompt + } + + if ($env:VIRTUAL_ENV) { + Remove-Item env:VIRTUAL_ENV -ErrorAction SilentlyContinue + } + + if (!$NonDestructive) { + # Self destruct! + Remove-Item function:deactivate + Remove-Item function:pydoc + } +} + +function global:pydoc { + python -m pydoc $args +} + +# unset irrelevant variables +deactivate -nondestructive + +$VIRTUAL_ENV = $BASE_DIR +$env:VIRTUAL_ENV = $VIRTUAL_ENV + +New-Variable -Scope global -Name _OLD_VIRTUAL_PATH -Value $env:PATH + +$env:PATH = "$env:VIRTUAL_ENV/bin:" + $env:PATH +if (!$env:VIRTUAL_ENV_DISABLE_PROMPT) { + function global:_old_virtual_prompt { + "" + } + $function:_old_virtual_prompt = $function:prompt + + if ("" -ne "") { + function global:prompt { + # Add the custom prefix to the existing prompt + $previous_prompt_value = & $function:_old_virtual_prompt + ("" + $previous_prompt_value) + } + } + else { + function global:prompt { + # Add a prefix to the current prompt, but don't discard it. + $previous_prompt_value = & $function:_old_virtual_prompt + $new_prompt_value = "($( Split-Path $env:VIRTUAL_ENV -Leaf )) " + ($new_prompt_value + $previous_prompt_value) + } + } +} diff --git a/ACCEPTME-PROD-master/venv/bin/activate.xsh b/ACCEPTME-PROD-master/venv/bin/activate.xsh new file mode 100644 index 0000000000000000000000000000000000000000..c361b92b9e69f17960dd65b85ed2acd5e3c9318b --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/activate.xsh @@ -0,0 +1,46 @@ +"""Xonsh activate script for virtualenv""" +from xonsh.tools import get_sep as _get_sep + +def _deactivate(args): + if "pydoc" in aliases: + del aliases["pydoc"] + + if ${...}.get("_OLD_VIRTUAL_PATH", ""): + $PATH = $_OLD_VIRTUAL_PATH + del $_OLD_VIRTUAL_PATH + + if ${...}.get("_OLD_VIRTUAL_PYTHONHOME", ""): + $PYTHONHOME = $_OLD_VIRTUAL_PYTHONHOME + del $_OLD_VIRTUAL_PYTHONHOME + + if "VIRTUAL_ENV" in ${...}: + del $VIRTUAL_ENV + + if "VIRTUAL_ENV_PROMPT" in ${...}: + del $VIRTUAL_ENV_PROMPT + + if "nondestructive" not in args: + # Self destruct! + del aliases["deactivate"] + + +# unset irrelevant variables +_deactivate(["nondestructive"]) +aliases["deactivate"] = _deactivate + +$VIRTUAL_ENV = r"/Users/farhaan/Downloads/acceptme/venv" + +$_OLD_VIRTUAL_PATH = $PATH +$PATH = $PATH[:] +$PATH.add($VIRTUAL_ENV + _get_sep() + "bin", front=True, replace=True) + +if ${...}.get("PYTHONHOME", ""): + # unset PYTHONHOME if set + $_OLD_VIRTUAL_PYTHONHOME = $PYTHONHOME + del $PYTHONHOME + +$VIRTUAL_ENV_PROMPT = "" +if not $VIRTUAL_ENV_PROMPT: + del $VIRTUAL_ENV_PROMPT + +aliases["pydoc"] = ["python", "-m", "pydoc"] diff --git a/ACCEPTME-PROD-master/venv/bin/chardetect b/ACCEPTME-PROD-master/venv/bin/chardetect new file mode 100644 index 0000000000000000000000000000000000000000..d06162131d3a3b71d27b77a09aa261172563e200 --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/chardetect @@ -0,0 +1,8 @@ +#!/Users/farhaan/Downloads/acceptme/venv/bin/python3.7 +# -*- coding: utf-8 -*- +import re +import sys +from chardet.cli.chardetect import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/ACCEPTME-PROD-master/venv/bin/easy_install b/ACCEPTME-PROD-master/venv/bin/easy_install new file mode 100644 index 0000000000000000000000000000000000000000..7e02aa949d9df4da21c2a2f95070d6450db71289 --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/easy_install @@ -0,0 +1,10 @@ +#!/Users/farhaan/Downloads/acceptme/venv/bin/python3.7 +# -*- coding: utf-8 -*- +import re +import sys + +from setuptools.command.easy_install import main + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/ACCEPTME-PROD-master/venv/bin/easy_install-3.7 b/ACCEPTME-PROD-master/venv/bin/easy_install-3.7 new file mode 100644 index 0000000000000000000000000000000000000000..7e02aa949d9df4da21c2a2f95070d6450db71289 --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/easy_install-3.7 @@ -0,0 +1,10 @@ +#!/Users/farhaan/Downloads/acceptme/venv/bin/python3.7 +# -*- coding: utf-8 -*- +import re +import sys + +from setuptools.command.easy_install import main + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/ACCEPTME-PROD-master/venv/bin/flask b/ACCEPTME-PROD-master/venv/bin/flask new file mode 100644 index 0000000000000000000000000000000000000000..33d5d9917aa5fd5a3dec874c96e2cba541bee9f4 --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/flask @@ -0,0 +1,8 @@ +#!/Users/farhaan/Downloads/acceptme/venv/bin/python3.7 +# -*- coding: utf-8 -*- +import re +import sys +from flask.cli import main +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/ACCEPTME-PROD-master/venv/bin/pip b/ACCEPTME-PROD-master/venv/bin/pip new file mode 100644 index 0000000000000000000000000000000000000000..21046d0afcb6ff4a410a0af8d9c7bb1f82ff4e87 --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/pip @@ -0,0 +1,10 @@ +#!/Users/farhaan/Downloads/acceptme/venv/bin/python3.7 +# -*- coding: utf-8 -*- +import re +import sys + +from pip._internal.cli.main import main + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/ACCEPTME-PROD-master/venv/bin/pip3 b/ACCEPTME-PROD-master/venv/bin/pip3 new file mode 100644 index 0000000000000000000000000000000000000000..21046d0afcb6ff4a410a0af8d9c7bb1f82ff4e87 --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/pip3 @@ -0,0 +1,10 @@ +#!/Users/farhaan/Downloads/acceptme/venv/bin/python3.7 +# -*- coding: utf-8 -*- +import re +import sys + +from pip._internal.cli.main import main + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/ACCEPTME-PROD-master/venv/bin/pip3.7 b/ACCEPTME-PROD-master/venv/bin/pip3.7 new file mode 100644 index 0000000000000000000000000000000000000000..21046d0afcb6ff4a410a0af8d9c7bb1f82ff4e87 --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/pip3.7 @@ -0,0 +1,10 @@ +#!/Users/farhaan/Downloads/acceptme/venv/bin/python3.7 +# -*- coding: utf-8 -*- +import re +import sys + +from pip._internal.cli.main import main + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/ACCEPTME-PROD-master/venv/bin/pyrsa-decrypt b/ACCEPTME-PROD-master/venv/bin/pyrsa-decrypt new file mode 100644 index 0000000000000000000000000000000000000000..707e0341284ab9ae2d2c7b2028ffa484c7c133f2 --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/pyrsa-decrypt @@ -0,0 +1,8 @@ +#!/Users/farhaan/Downloads/acceptme/venv/bin/python3.7 +# -*- coding: utf-8 -*- +import re +import sys +from rsa.cli import decrypt +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) + sys.exit(decrypt()) diff --git a/ACCEPTME-PROD-master/venv/bin/python3 b/ACCEPTME-PROD-master/venv/bin/python3 new file mode 100644 index 0000000000000000000000000000000000000000..33ae78b55d408cfd3a1c373754905f58fcef43f8 Binary files /dev/null and b/ACCEPTME-PROD-master/venv/bin/python3 differ diff --git a/ACCEPTME-PROD-master/venv/bin/wheel b/ACCEPTME-PROD-master/venv/bin/wheel new file mode 100644 index 0000000000000000000000000000000000000000..fe511ace56733f1cdce6e47854a99871980771df --- /dev/null +++ b/ACCEPTME-PROD-master/venv/bin/wheel @@ -0,0 +1,10 @@ +#!/Users/farhaan/Downloads/acceptme/venv/bin/python3.7 +# -*- coding: utf-8 -*- +import re +import sys + +from wheel.cli import main + +if __name__ == '__main__': + sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) + sys.exit(main()) diff --git a/ADE-relation-extraction-master/.gitignore b/ADE-relation-extraction-master/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..dfe2207d76089054979db2a39ef28d23155d0b98 --- /dev/null +++ b/ADE-relation-extraction-master/.gitignore @@ -0,0 +1,6 @@ +dataset/ +out/ +results.txt +stats.py +test_script.py +__pycache__/ diff --git a/ADE-relation-extraction-master/.pipreqs/requirements_pipreqs.txt b/ADE-relation-extraction-master/.pipreqs/requirements_pipreqs.txt new file mode 100644 index 0000000000000000000000000000000000000000..066a1918e8229abc98f771fa9786313242e5322d --- /dev/null +++ b/ADE-relation-extraction-master/.pipreqs/requirements_pipreqs.txt @@ -0,0 +1,4 @@ +apex==0.9.10dev +numpy==2.2.4 +pytorch_pretrained_bert==0.6.2 +torch==2.1.0 diff --git a/ADE-relation-extraction-master/README.md b/ADE-relation-extraction-master/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d8ac4d46c06bffb628b9ea698e18a1866ccfb4f6 --- /dev/null +++ b/ADE-relation-extraction-master/README.md @@ -0,0 +1,3 @@ +# ADE-relation-extraction +My research project on medical NLP. The objective is to extract ADE and related indications from clinical documents. +The BERT code is modified version of huggingface/pytorch-pretrain-BERT package developed by huggingface researcher, the original codes are available from https://github.com/huggingface/pytorch-pretrained-BERT diff --git a/ADE-relation-extraction-master/main.py b/ADE-relation-extraction-master/main.py new file mode 100644 index 0000000000000000000000000000000000000000..169e00956cae4b9776963618ae9c30cb1f00ce8d --- /dev/null +++ b/ADE-relation-extraction-master/main.py @@ -0,0 +1,426 @@ +import os +import argparse +import random +import time + +from utils import Processor, TrainDataset, TestDataset + +import numpy as np +import torch +from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, BatchSampler +from torch.utils.data.distributed import DistributedSampler + +from pytorch_pretrained_bert.tokenization import BertTokenizer +from pytorch_pretrained_bert.modeling import BertForSequenceClassification +from pytorch_pretrained_bert.optimization import BertAdam +from pytorch_pretrained_bert.file_utils import PYTORCH_PRETRAINED_BERT_CACHE + + +def get_tp_fp_fn(logits, labels): + assert labels.shape[1] == 1 + labels = labels.squeeze() + predictions = np.argmax(logits, axis=1) + labels, predictions = labels.astype(int), predictions.astype(int) + tp = np.sum(np.logical_and(predictions == 1, labels == 1)) + fp = np.sum(np.logical_and(predictions == 1, labels == 0)) + fn = np.sum(np.logical_and(predictions == 0, labels == 1)) + return tp, fp, fn + + +def compute_metrics(tp, fp, fn): + precision = tp / (tp + fp + np.finfo(float).eps) + recall = tp / (tp + fn + np.finfo(float).eps) + f1 = 2 * precision * recall / (precision + recall + np.finfo(float).eps) + return precision, recall, f1 + + +def warmup_linear(x, warmup=0.002): + if x < warmup: + return x / warmup + return 1.0 - x + + +def main(): + parser = argparse.ArgumentParser() + + # Required parameters + parser.add_argument("--type", + type=str, + required=True, + help="The type other than Drug in the relation") + + # Some parameters + parser.add_argument("--bert_model", + default="bert-base-uncased", + type=str, + help="Bert pre-trained model selected in the list: bert-base-uncased, " + "bert-large-uncased, bert-base-cased, bert-base-multilingual, bert-base-chinese.") + parser.add_argument("--output_dir", + default="../out/", + type=str, + help="The output directory where the model predictions and checkpoints will be written.") + parser.add_argument("--strategy", + default="edge", + type=str, + help="The strategy to select negative examples for training") + parser.add_argument("--max_seq_length", + default=512, + type=int, + help="The maximum total input sequence length after WordPiece tokenization. \n" + "Sequences longer than this will be truncated, and sequences shorter \n" + "than this will be padded.") + parser.add_argument("--val_split", + type=float, + default=0.2, + help="The fraction of spliting validation set from the whole training set") + parser.add_argument("--edge_percentage", + default=80, + type=int, + help="Percentage of selecting adjacent negative examples") + parser.add_argument("--mask_concepts", + default=False, + action='store_true', + help="Whether to mask two concepts.") + + parser.add_argument("--do_train", + default=False, + action='store_true', + help="Whether to run training.") + parser.add_argument("--do_test", + default=False, + action='store_true', + help="Whether to run test on the test set.") + parser.add_argument("--test_final", + default=False, + action='store_true', + help="Whether to test the model of final training step. If not specified,\n will test the model with best f1 score in valdiation set") + parser.add_argument("--do_lower_case", + default=True, + action='store_false', + help="Set this flag if you are using an uncased model.") + parser.add_argument("--train_batch_size", + default=16, + type=int, + help="Total batch size for training.") + parser.add_argument("--eval_batch_size", + default=8, + type=int, + help="Total batch size for eval.") + parser.add_argument("--learning_rate", + default=2e-5, + type=float, + help="The initial learning rate for Adam.") + parser.add_argument("--num_train_epochs", + default=10.0, + type=float, + help="Total number of training epochs to perform.") + parser.add_argument("--warmup_proportion", + default=0.1, + type=float, + help="Proportion of training to perform linear learning rate warmup for. " + "E.g., 0.1 = 10%% of training.") + parser.add_argument("--no_cuda", + default=False, + action='store_true', + help="Whether not to use CUDA when available") + parser.add_argument("--local_rank", + type=int, + default=-1, + help="local_rank for distributed training on gpus") + parser.add_argument('--seed', + type=int, + default=42, + help="random seed for initialization") + parser.add_argument('--gradient_accumulation_steps', + type=int, + default=1, + help="Number of updates steps to accumulate before performing a backward/update pass.") + parser.add_argument('--fp16', + default=False, + action='store_true', + help="Whether to use 16-bit float precision instead of 32-bit") + parser.add_argument('--loss_scale', + type=float, default=0, + help="Loss scaling to improve fp16 numeric stability. Only used when fp16 set to True.\n" + "0 (default value): dynamic loss scaling.\n" + "Positive power of 2: static loss scaling value.\n") + + args = parser.parse_args() + + best_model_file = os.path.join(args.output_dir, "best_model.bin") + final_model_file = os.path.join(args.output_dir, "final_model.bin") + + if args.local_rank == -1 or args.no_cuda: + device = torch.device("cuda" if torch.cuda.is_available() and not args.no_cuda else "cpu") + n_gpu = torch.cuda.device_count() + else: + torch.cuda.set_device(args.local_rank) + device = torch.device("cuda", args.local_rank) + n_gpu = 1 + # Initializes the distributed backend which will take care of sychronizing nodes/GPUs + torch.distributed.init_process_group(backend='nccl') + print("device: {} n_gpu: {}, distributed training: {}, 16-bits training: {}".format( + device, n_gpu, bool(args.local_rank != -1), args.fp16)) + + if args.gradient_accumulation_steps < 1: + raise ValueError("Invalid gradient_accumulation_steps parameter: {}, should be >= 1".format( + args.gradient_accumulation_steps)) + + if args.train_batch_size % 2 != 0: + raise ValueError("Invalid train_batch_size parameter: {}, should be an even number".format( + args.train_batch_size)) + + args.train_batch_size = int(args.train_batch_size / args.gradient_accumulation_steps) + + # Set random seeds + random.seed(args.seed) + np.random.seed(args.seed) + torch.manual_seed(args.seed) + if n_gpu > 0: + torch.cuda.manual_seed_all(args.seed) + + if not args.do_train and not args.do_test: + raise ValueError("At least one of `do_train` or `do_test` must be True.") + + # if os.path.exists(args.output_dir) and os.listdir(args.output_dir): + # raise ValueError("Output directory ({}) already exists and is not empty.".format(args.output_dir)) + os.makedirs(args.output_dir, exist_ok=True) + + tokenizer = BertTokenizer.from_pretrained(args.bert_model, do_lower_case=args.do_lower_case) + + processor = Processor(tokenizer, args.max_seq_length, args.type, args.val_split) + label_list = processor.get_labels() + num_labels = len(label_list) + + # For do_train is True, the model train on training set and evaluate on validation set at + # the end of each epoch, and save the best model + if args.do_train and (args.local_rank == -1 or torch.distributed.get_rank() == 0): + # # Prepare model + # model = BertForSequenceClassification.from_pretrained( + # args.bert_model, + # cache_dir=PYTORCH_PRETRAINED_BERT_CACHE / 'distributed_{}'.format(args.local_rank), + # num_labels=num_labels) + + # if args.fp16: + # model.half() + # model.to(device) + # if args.local_rank != -1: + # try: + # from apex.parallel import DistributedDataParallel as DDP + # except ImportError: + # raise ImportError("Please install apex from https://www.github.com/nvidia/apex to use distributed and fp16 training.") + + # model = DDP(model) + # elif n_gpu > 1: + # model = torch.nn.DataParallel(model) + + # global_step = 0 + # The examples_list is [pos_train, neg_candidate_train, neg_rest_train, pos_val, neg_val] + examples_list, mask_list, neg_indices_train, val_false_negtive = processor.get_examples(args.mask_concepts) + print("Number of pos_train:{} pos_val:{} neg_val:{}" + .format(examples_list[0].shape[0], examples_list[3].shape[0], examples_list[4].shape[0])) + num_train_steps = int( + 2 * len(examples_list[0]) / args.train_batch_size / args.gradient_accumulation_steps * args.num_train_epochs) + + # Prepare optimizer + param_optimizer = list(model.named_parameters()) + no_decay = ['bias', 'LayerNorm.bias', 'LayerNorm.weight'] + optimizer_grouped_parameters = [ + {'params': [p for n, p in param_optimizer if not any(nd in n for nd in no_decay)], 'weight_decay': 0.01}, + {'params': [p for n, p in param_optimizer if any(nd in n for nd in no_decay)], 'weight_decay': 0.0} + ] + t_total = num_train_steps + if args.local_rank != -1: + t_total = t_total // torch.distributed.get_world_size() + + if args.fp16: + try: + from apex.optimizers import FP16_Optimizer + from apex.optimizers import FusedAdam + except ImportError: + raise ImportError("Please install apex from https://www.github.com/nvidia/apex to use distributed and fp16 training.") + + optimizer = FusedAdam(optimizer_grouped_parameters, + lr=args.learning_rate, + bias_correction=False, + max_grad_norm=1.0) + if args.loss_scale == 0: + optimizer = FP16_Optimizer(optimizer, dynamic_loss_scale=True) + else: + optimizer = FP16_Optimizer(optimizer, static_loss_scale=args.loss_scale) + + else: + optimizer = BertAdam(optimizer_grouped_parameters, + lr=args.learning_rate, + warmup=args.warmup_proportion, + t_total=t_total) + + # Prepare train set + if args.strategy == 'edge': + train_data = TrainDataset( + pos_train=examples_list[0], + neg_candidate_train=examples_list[1], + neg_rest_train=examples_list[2], + pos_train_mask=mask_list[0], + neg_candidate_train_mask=mask_list[1], + neg_rest_train_mask=mask_list[2], + neg_indices_train=neg_indices_train, + edge_percentage=args.edge_percentage) + elif args.strategy == 'random': + train_data = TrainDataset( + pos_train=examples_list[0], + neg_candidate_train=examples_list[1], + neg_rest_train=examples_list[2], + pos_train_mask=mask_list[0], + neg_candidate_train_mask=mask_list[1], + neg_rest_train_mask=mask_list[2]) + + if args.local_rank == -1: + train_sampler = RandomSampler(train_data) + else: + train_sampler = DistributedSampler(train_data) + train_sampler = BatchSampler(train_sampler, batch_size=int(args.train_batch_size / 2), drop_last=False) + train_dataloader = DataLoader(train_data, batch_sampler=train_sampler, num_workers=0) + + # Prepare validation set + eval_data = TestDataset( + torch.tensor(examples_list[3], dtype=torch.long), + torch.tensor(examples_list[4], dtype=torch.long), + torch.tensor(mask_list[3], dtype=torch.long), + torch.tensor(mask_list[4], dtype=torch.long)) + + eval_dataloader = DataLoader(eval_data, batch_size=args.eval_batch_size, num_workers=0) + + # Start training + print('Start training...') + best_f1 = 0 + for epoch in range(int(args.num_train_epochs)): + # Record total loss for training set and validation set + tr_loss, nb_tr_steps = 0, 0 + # Train for one epoch, and evaluate later + model.train() + for step, (pos_train, neg_train, pos_mask, neg_mask) in enumerate(train_dataloader): + + # Put tensors to devices + input_ids = torch.cat([pos_train, neg_train]).to(device) + input_mask = torch.cat([pos_mask, neg_mask]).to(device) + segment_ids = torch.zeros_like(input_mask).to(device) + label_ids = torch.tensor([1 for _ in range(pos_train.size(0))] + [0 for _ in range(neg_train.size(0))]).to(device) + + loss = model(input_ids, segment_ids, input_mask, label_ids) + + if n_gpu > 1: + loss = loss.mean() # mean() to average on multi-gpu. + if args.gradient_accumulation_steps > 1: + loss = loss / args.gradient_accumulation_steps + + if args.fp16: + optimizer.backward(loss) + else: + loss.backward() + + tr_loss += loss.item() + nb_tr_steps += 1 + # learning rate decay + if (step + 1) % args.gradient_accumulation_steps == 0: + # modify learning rate with special warm up BERT uses + lr_this_step = args.learning_rate * warmup_linear(global_step / t_total, args.warmup_proportion) + for param_group in optimizer.param_groups: + param_group['lr'] = lr_this_step + optimizer.step() + optimizer.zero_grad() + global_step += 1 + print("Epoch {} train loss={}, ".format(epoch, round(tr_loss / nb_tr_steps, 3)), end='') + + # Record tp, fp, fn for validation set + val_tp, val_fp, val_fn, precision, recall, f1 = [0 for _ in range(6)] + + eval_loss, nb_eval_steps = 0, 0 + # Evaluate model on validation set + model.eval() + for input_ids, input_mask, label_ids in eval_dataloader: + input_ids = input_ids.to(device) + input_mask = input_mask.to(device) + segment_ids = torch.zeros_like(input_mask).to(device) + label_ids = label_ids.to(device) + + with torch.no_grad(): + tmp_eval_loss = model(input_ids, segment_ids, input_mask, label_ids) + logits = model(input_ids, segment_ids, input_mask) + + logits = logits.detach().cpu().numpy() + label_ids = label_ids.cpu().numpy() + + eval_loss += tmp_eval_loss.mean().item() + nb_eval_steps += 1 + tp, fp, fn = get_tp_fp_fn(logits, label_ids) + val_tp += tp + val_fp += fp + val_fn += fn + precision, recall, f1 = compute_metrics(val_tp, val_fp, val_fn + val_false_negtive) + print("validation loss={} precision={} recall={} f1={}" + .format(round(eval_loss / nb_eval_steps, 3), round(precision, 3), round(recall, 3), round(f1, 3))) + print("validation tp:{} fp:{} fn:{}".format(val_tp, val_fp, val_fn + val_false_negtive)) + # save a trained model if f1 is bigger than best_f1 + if f1 > best_f1: + best_f1 = f1 + model_to_save = model.module if hasattr(model, 'module') else model + + torch.save(model_to_save.state_dict(), best_model_file) + + # save final model + model_to_save = model.module if hasattr(model, 'module') else model + torch.save(model_to_save.state_dict(), final_model_file) + + # For test mode when do_test is True + if args.do_test and (args.local_rank == -1 or torch.distributed.get_rank() == 0): + # Prepare test data + pos_test, neg_test, pos_test_mask, neg_test_mask, test_false_negative = processor.get_test_examples(args.mask_concepts) + + test_data = TestDataset( + torch.tensor(pos_test, dtype=torch.long), + torch.tensor(neg_test, dtype=torch.long), + torch.tensor(pos_test_mask, dtype=torch.long), + torch.tensor(neg_test_mask, dtype=torch.long)) + test_dataloader = DataLoader(test_data, batch_size=args.eval_batch_size, num_workers=0) + + # Load a trained model that have fine-tuned + if args.test_final: + model_state_dict = torch.load(final_model_file) + else: + model_state_dict = torch.load(best_model_file) + model = BertForSequenceClassification.from_pretrained(args.bert_model, state_dict=model_state_dict) + model.to(device) + + # Record tp, fp, fn for test set + test_tp, test_fp, test_fn, precision, recall, f1 = [0 for _ in range(6)] + + # Evaluate model on test set + model.eval() + for input_ids, input_mask, label_ids in test_dataloader: + input_ids = input_ids.to(device) + input_mask = input_mask.to(device) + segment_ids = torch.zeros_like(input_mask).to(device) + label_ids = label_ids.to(device) + + with torch.no_grad(): + logits = model(input_ids, segment_ids, input_mask) + + logits = logits.detach().cpu().numpy() + label_ids = label_ids.cpu().numpy() + + tp, fp, fn = get_tp_fp_fn(logits, label_ids) + test_tp += tp + test_fp += fp + test_fn += fn + precision, recall, f1 = compute_metrics(test_tp, test_fp, test_fn + test_false_negative) + print("Test precision={} recall={} f1={}" + .format(round(precision, 3), round(recall, 3), round(f1, 3))) + print("Test tp:{} fp:{} fn:{}".format(test_tp, test_fp, test_fn + test_false_negative)) + + +if __name__ == '__main__': + start = time.time() + main() + period = int((time.time() - start) / 60) + print("program run time: {} mins".format(period)) diff --git a/ADE-relation-extraction-master/utils.py b/ADE-relation-extraction-master/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..40cb56774a3c2a2707c9ff4eb8ba5286fbf5b425 --- /dev/null +++ b/ADE-relation-extraction-master/utils.py @@ -0,0 +1,440 @@ +import os +import random +import numpy as np +import torch +from torch.utils.data import Dataset + + +def _extract_concepts(file, non_drug_type): + """Extract drug and non-drug concepts from annotation files. + Args: + file: file to extract + non_drug_type: a string, the type of the non-drug concept, for example, reason, frequency + Return: + non_drug_dict: a dict of non_drug concepts, the keys are concept indices like "T1", the values are tuples of (start offset, end offset) + drug_dict: a dict of drug concepts + relations: a list of tuples of (non_drug index, drug index), for example, ("T1", "T3") + """ + non_drug_dict = {} + drug_dict = {} + relations = [] + + with open(file, "r") as f: + for line in f: + segments = line.split() + # for concepts, annotations start with "T" + if line[0] == 'T': + if segments[1] == 'Drug': + # some concepts cross lines, the annotation uses two tuples with ';' to seperate them + i = 0 + while ';' in segments[3 + i]: + i += 1 + drug_dict[segments[0]] = (int(segments[2]), int(segments[3 + i])) + + elif segments[1] == non_drug_type: + i = 0 + while ';' in segments[3 + i]: + i += 1 + non_drug_dict[segments[0]] = (int(segments[2]), int(segments[3 + i])) + + elif line[0] == 'R': + if segments[1] == non_drug_type + '-Drug': + relations.append((segments[2][5:], segments[3][5:])) + + return non_drug_dict, drug_dict, relations + + +def _get_examples_for_single_file(non_drug_dict, drug_dict, relations, file, max_tokens, mask_concepts): + """Get positive examples, candidate examples, and rest_examples""" + non_drug_list = sorted(non_drug_dict.items(), key=lambda t: t[1][0]) + drug_list = sorted(drug_dict.items(), key=lambda t: t[1][0]) + + # get positive examples + pos_tuples = [] + for relation in relations: + try: + non_drug_tuple = non_drug_dict[relation[0]] + drug_tuple = drug_dict[relation[1]] + pos_tuples.append((non_drug_tuple, drug_tuple)) + except: + pass + + non_drug_index_list = [non_drug[0] for non_drug in non_drug_list] + drug_index_list = [drug[0] for drug in drug_list] + + # get candidate negative examples, which are examples are close to the positive example + candidate_tuples = [] + candidate_indices = [] + for i, relation in enumerate(relations): + candidate_non_drugs = [] + candidate_drugs = [] + # get index of each positive examples + try: + non_drug_index = non_drug_index_list.index(relation[0]) + drug_index = drug_index_list.index(relation[1]) + except: + continue + + if non_drug_index >= 1: + candidate_non_drugs.append(non_drug_list[non_drug_index - 1][1]) + if non_drug_index < len(non_drug_list) - 1: + candidate_non_drugs.append(non_drug_list[non_drug_index + 1][1]) + + if drug_index >= 1: + candidate_drugs.append(drug_list[drug_index - 1][1]) + if drug_index < len(drug_list) - 1: + candidate_drugs.append(drug_list[drug_index + 1][1]) + + for non_drug in candidate_non_drugs: + candidate_tuple = (non_drug, drug_list[drug_index][1]) + if candidate_tuple not in pos_tuples and candidate_tuple not in candidate_tuples: + candidate_tuples.append(candidate_tuple) + candidate_indices.append(i) + + for drug in candidate_drugs: + candidate_tuple = (non_drug_list[non_drug_index][1], drug) + if candidate_tuple not in pos_tuples and candidate_tuple not in candidate_tuples: + candidate_tuples.append(candidate_tuple) + candidate_indices.append(i) + + # get the rest of the negative examples, which are examples are not close to the positive examples: + rest_tuples = [] + for non_drug in non_drug_dict.values(): + for drug in drug_dict.values(): + rest_tuple = (non_drug, drug) + if rest_tuple not in pos_tuples and rest_tuple not in candidate_tuples: + rest_tuples.append(rest_tuple) + + # assert bool(set(pos_tuples) & set(candidate_tuples)) ^ bool(set(pos_tuples) & set(rest_tuples)) ^ bool(set(candidate_tuples) & set(rest_tuples)) == False + + # get real examples (strings) + pos_examples = [] + candidate_examples = [] + rest_examples = [] + + # get positive examples + false_negtives = 0 + for pos_tuple in pos_tuples: + pos_example = _extract_single_string(file, pos_tuple[0], pos_tuple[1], max_tokens, mask_concepts) + if pos_example: + pos_examples.append(pos_example) + else: + false_negtives += 1 + + # get candidate negative examples + false_positives = 0 + keep_indices = [i for i in range(len(candidate_indices))] + for i, candidate_tuple in enumerate(candidate_tuples): + candidate_example = _extract_single_string(file, candidate_tuple[0], candidate_tuple[1], max_tokens, mask_concepts) + if candidate_example: + candidate_examples.append(candidate_example) + else: + keep_indices.remove(i) + false_positives += 1 + origin_len = len(candidate_indices) + candidate_indices = np.take(candidate_indices, keep_indices) + assert false_positives + len(candidate_indices) == origin_len + + # get the rest of negative examples + for rest_tuple in rest_tuples: + rest_example = _extract_single_string(file, rest_tuple[0], rest_tuple[1], max_tokens, mask_concepts) + if rest_example: + rest_examples.append(rest_example) + + return pos_examples, candidate_examples, rest_examples, candidate_indices, false_negtives + + +def _extract_single_string(file, non_drug, drug, max_tokens, mask_concepts=False): + """Extract a single string + Args: + non_drug: a non-drug tuple of (start offset, end offset) + drug: a drug tuple of (start offset, end offset) + max_tokens: only extract string if the number of tokens is less than max_tokens, + Return: + string: the extracted string + """ + if non_drug[0] < drug[0]: + concept1 = non_drug + concept2 = drug + # span = (non_drug[0], drug[1]) + else: + # span = (drug[0], non_drug[1]) + concept1 = drug + concept2 = non_drug + + with open(file, "r") as f: + doc = f.read() + string = doc[concept1[0]: concept2[1]] + mid_string = string[concept1[1] - concept1[0]: concept2[0] - concept1[0]] + if mask_concepts: + result = "src " + mid_string + " tgt" + else: + con1_string = string[: concept1[1] - concept1[0]] + con2_string = string[concept2[0] - concept2[1]:] + result = "srcstart " + con1_string + ' srcend ' + mid_string + ' tgtstart ' + con2_string + " tgtend" + if len(result.split()) > max_tokens - 1: + return "" + else: + return result + + +def get_examples(non_drug_type, val_split, max_tokens, mask_concepts): + """Get examples from all training data + args: + non_drug_type: str, the concept type in a relation other than Drug + val_split: float, proportion of validation set + max_tokens: int, the maximum sequence length, which depends on non_drug_type + mask_concepts: bool, whether to mask the concepts + """ + pos_train, candidate_train, rest_train, candidate_indices = [], [], [], [] + pos_val, neg_val = [], [] + val_false_negatives = 0 + + train_path = 'dataset/track2-training-data' + for fn in os.listdir(train_path): + if fn[-4:] == '.ann': + continue + else: + txt_fn = fn + ann_fn = fn[:-4] + '.ann' + to_set = 'train' + if random.random() < val_split: + to_set = 'val' + non_drug_dict, drug_dict, relations = _extract_concepts(os.path.join(train_path, ann_fn), non_drug_type) + pos_example, candidate_example, rest_example, candidate_index, false_negtive = _get_examples_for_single_file(non_drug_dict, drug_dict, relations, os.path.join(train_path, txt_fn), max_tokens, mask_concepts) + if to_set == 'train': + candidate_train.extend(candidate_example) + candidate_index = len(pos_train) + candidate_index + candidate_indices.extend(candidate_index.tolist()) + pos_train.extend(pos_example) + rest_train.extend(rest_example) + else: + pos_val.extend(pos_example) + neg_val.extend(candidate_example + rest_example) + val_false_negatives += false_negtive + print('Number of examples in training set, pos_train:{} , neg_candidate_train:{} , neg_train:{}'. + format(len(pos_train), len(candidate_train), len(candidate_train) + len(rest_train))) + + # import statistics + # lens = [len(seq.split()) for seq in pos_train] + # print(f"mean: {round(statistics.mean(lens),3)} , sd: {round(statistics.stdev(lens),3)} , median: {statistics.median(lens)} , max:{max(lens)}") + # lens = [len(seq.split()) for seq in candidate_train] + # print(f"mean: {round(statistics.mean(lens),3)} , sd: {round(statistics.stdev(lens),3)} , median: {statistics.median(lens)} , max:{max(lens)}") + # lens = [len(seq.split()) for seq in candidate_train + rest_train] + # print(f"mean: {round(statistics.mean(lens),3)} , sd: {round(statistics.stdev(lens),3)} , median: {statistics.median(lens)} , max:{max(lens)}") + + # found = len(set(candidate_indices)) + # print(f'found: {found} , not_found: {len(pos_train) - found}') + + # print(candidate_indices[:50]) + # max_index, max_len = 0, 0 + # for i, pos in enumerate(pos_train): + # if len(pos.split()) > max_len: + # max_len = len(pos.split()) + # max_index = i + # index = [j for j, x in enumerate(candidate_indices) if x == max_index] + + # print(pos_train[i]) + # print([candidate_train[j] for j in index]) + + # import pickle + # lens = [len(seq.split()) for seq in candidate_train + rest_train] + # save_name = 'out/' + non_drug_type + # with open(save_name, 'wb') as f: + # pickle.dump(lens, f) + # exit() + + return pos_train, candidate_train, rest_train, candidate_indices, pos_val, neg_val, val_false_negatives + + +def get_test_examples(non_drug_type, max_tokens, mask_concepts): + """Get examples from all test data""" + pos_test, neg_test = [], [] + test_false_negatives = 0 + + test_path = 'dataset/track2-test-data' + for fn in os.listdir(test_path): + if fn[-4:] == '.ann': + continue + else: + txt_fn = fn + ann_fn = fn[:-4] + '.ann' + + non_drug_dict, drug_dict, relations = _extract_concepts(os.path.join(test_path, ann_fn), non_drug_type) + pos_example, candidate_example, rest_example, _, false_negtive = _get_examples_for_single_file(non_drug_dict, drug_dict, relations, os.path.join(test_path, txt_fn), max_tokens, mask_concepts) + + pos_test.extend(pos_example) + neg_test.extend(candidate_example + rest_example) + test_false_negatives += false_negtive + + print('Number of positive test example: {} , negative test examples: {}'.format(len(pos_test), len(neg_test))) + exit() + return pos_test, neg_test, test_false_negatives + + +class Processor(object): + def __init__(self, tokenizer, max_seq_length, non_drug_type, val_split): + self.tokenizer = tokenizer + self.max_seq_length = max_seq_length + self.non_drug_type = non_drug_type + self.val_split = val_split + + def _convert_single_example(self, example): + """convert a single example from a string to a list of strings""" + tokens = self.tokenizer.tokenize(example) + # Account for [CLS] with "- 1" + if len(tokens) > self.max_seq_length - 1: + tokens = tokens[0:(self.max_seq_length - 1)] + + # The convention in BERT is: + # (a) For sequence pairs: + # tokens: [CLS] is this jack ##son ##ville ? [SEP] no it is not . [SEP] + # type_ids: 0 0 0 0 0 0 0 0 1 1 1 1 1 1 + # (b) For single sequences: + # tokens: [CLS] the dog is hairy . [SEP] + # type_ids: 0 0 0 0 0 0 0 + # + # Where "type_ids" are used to indicate whether this is the first + # sequence or the second sequence. The embedding vectors for `type=0` and + # `type=1` were learned during pre-training and are added to the wordpiece + # embedding vector (and position vector). This is not *strictly* necessary + # since the [SEP] token unambiguously separates the sequences, but it makes + # it easier for the model to learn the concept of sequences. + # + # For classification tasks, the first vector (corresponding to [CLS]) is + # used as the "sentence vector". Note that this only makes sense because + # the entire model is fine-tuned. + tokens.insert(0, "[CLS]") + input_ids = self.tokenizer.convert_tokens_to_ids(tokens) + + # The mask has 1 for real tokens and 0 for padding tokens. Only real + # tokens are attended to. + input_mask = [1 for _, _ in enumerate(input_ids)] + + # Zero-pad up to the sequence length. + padding_len = self.max_seq_length - len(input_ids) + input_ids.extend([0 for _ in range(padding_len)]) + input_mask.extend([0 for _ in range(padding_len)]) + + assert len(input_ids) == self.max_seq_length, "{} {}".format(len(input_ids), self.max_seq_length) + assert len(input_mask) == self.max_seq_length, "{} {}".format(len(input_mask), self.max_seq_length) + + return input_ids, input_mask + + def _get_ids_and_mask(self, examples_list, mask_list): + for i, examples in enumerate(examples_list): + mask = [] + for j, example in enumerate(examples): + input_ids, input_mask = self._convert_single_example(example) + examples[j] = input_ids + mask.append(input_mask) + + # convert examples and mask to numpy array + examples = np.asarray(examples) + mask = np.asarray(mask) + + # update list + examples_list[i] = examples + mask_list.append(mask) + + return examples_list, mask_list + + def get_examples(self, mask_concepts): + pos_train, neg_candidate_train, neg_rest_train, neg_indices_train, pos_val, neg_val, val_fn = \ + get_examples(self.non_drug_type, self.val_split, self.max_seq_length, mask_concepts) + + examples_list = [pos_train, neg_candidate_train, neg_rest_train, pos_val, neg_val] + mask_list = [] + # segment_ids_list = [] + + examples_list, mask_list = self._get_ids_and_mask(examples_list, mask_list) + + return examples_list, mask_list, np.asarray(neg_indices_train), val_fn + + def get_test_examples(self, mask_concepts): + pos_test, neg_test, test_fn = get_test_examples(self.non_drug_type, self.max_seq_length, mask_concepts) + examples_list = [pos_test, neg_test] + mask_list = [] + examples_list, mask_list = self._get_ids_and_mask(examples_list, mask_list) + return examples_list[0], examples_list[1], mask_list[0], mask_list[1], test_fn + + def get_labels(self): + return ['related', 'not_related'] + + +class TrainDataset(Dataset): + def __init__(self, **kwargs): + self.pos_train = kwargs["pos_train"] + self.neg_candidate_train = kwargs["neg_candidate_train"] + self.neg_rest_train = kwargs["neg_rest_train"] + self.pos_train_mask = kwargs["pos_train_mask"] + self.neg_candidate_train_mask = kwargs["neg_candidate_train_mask"] + self.neg_rest_train_mask = kwargs["neg_rest_train_mask"] + self.strategy = 'random' + if "neg_indices_train" in kwargs: + self.neg_indices_train = kwargs["neg_indices_train"] + self.strategy = 'edge' + self.edge_percentage = kwargs["edge_percentage"] + + def __getitem__(self, idx): + # pick negative example given idx + if self.strategy == 'edge': + indices = np.where(self.neg_indices_train == idx)[0] + # pick neg example from candidate set if indices exist + if len(indices) != 0 and random.randint(1, 100) <= self.edge_percentage: + index = np.random.choice(indices, 1).squeeze() + neg_example = self.neg_candidate_train[index] + neg_mask = self.neg_candidate_train_mask[index] + # if indices don't exist, pick neg example from the rest set + else: + index = np.random.choice(self.neg_rest_train.shape[0], 1).squeeze() + neg_example = self.neg_rest_train[index] + neg_mask = self.neg_rest_train_mask[index] + + elif self.strategy == 'random': + num_of_negs = self.neg_candidate_train.shape[0] + self.neg_rest_train.shape[0] + index = random.randint(0, num_of_negs - 1) + _index = index - self.neg_candidate_train.shape[0] + if _index < 0: + neg_example = self.neg_candidate_train[index] + neg_mask = self.neg_candidate_train_mask[index] + else: + neg_example = self.neg_rest_train[_index] + neg_mask = self.neg_rest_train_mask[_index] + + # Get pos example + pos_example = self.pos_train[idx] + pos_mask = self.pos_train_mask[idx] + assert pos_example.shape == pos_mask.shape == neg_example.shape == neg_mask.shape, "{} {} {} {}".format(pos_example.shape, pos_mask.shape, neg_example.shape, neg_mask.shape) + assert pos_example.ndim == 1, "rank of pos_example is {}".format(pos_example.ndim) + + # Convert numpy arrays to tensors + pos_example = torch.tensor(pos_example, dtype=torch.long) + neg_example = torch.tensor(neg_example, dtype=torch.long) + pos_mask = torch.tensor(pos_mask, dtype=torch.long) + neg_mask = torch.tensor(neg_mask, dtype=torch.long) + + return (pos_example, neg_example, pos_mask, neg_mask) + + def __len__(self): + return self.pos_train.shape[0] + + +class TestDataset(Dataset): + """Prepare dataset for validation set and test set""" + + def __init__(self, *tensors): + self.pos = tensors[0] + self.neg = tensors[1] + self.pos_mask = tensors[2] + self.neg_mask = tensors[3] + + def __getitem__(self, idx): + _idx = idx - self.pos.size(0) + if _idx < 0: + return (self.pos[idx], self.pos_mask[idx], torch.tensor([1], dtype=torch.long)) + else: + return (self.neg[_idx], self.neg_mask[_idx], torch.tensor([0], dtype=torch.long)) + + def __len__(self): + return self.pos.size(0) + self.neg.size(0) diff --git a/ADM-master/.gitignore b/ADM-master/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..3ddcd025c49b53f40056af7dcb02ced1ab181e32 --- /dev/null +++ b/ADM-master/.gitignore @@ -0,0 +1,6 @@ +# Generated by pdflatex +*.aux +*.log + +# ADM +knime_4.1.1 diff --git a/ADM-master/.pipreqs/requirements_pipreqs.txt b/ADM-master/.pipreqs/requirements_pipreqs.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b340d64d7cf8c27526a63c3cb3032eea4f91ae8 --- /dev/null +++ b/ADM-master/.pipreqs/requirements_pipreqs.txt @@ -0,0 +1,19 @@ +brotli==1.1.0 +ConfigParser==7.2.0 +cryptography==44.0.2 +Cython==3.0.12 +dl==0.1.0 +HTMLParser==0.0.2 +ipaddr==2.2.0 +keyring==25.6.0 +lxml==5.3.1 +matplotlib==3.10.1 +numpy==2.2.4 +ordereddict==1.1 +protobuf==3.1.0.post1 +protobuf==3.20.3 +pyOpenSSL==25.0.0 +pyOpenSSL==25.0.0 +thread==2.0.5 +wincertstore==0.2.1 +xmlrpclib==1.0.1 diff --git a/ADM-master/Example Workflows/.project b/ADM-master/Example Workflows/.project new file mode 100644 index 0000000000000000000000000000000000000000..7139e5e05d1a56b1648211fe5da426107233d229 --- /dev/null +++ b/ADM-master/Example Workflows/.project @@ -0,0 +1,12 @@ + + + Example Workflows + + + + + + + org.knime.workbench.ui.KNIMEProjectNature + + diff --git a/ADM-master/Example Workflows/Basic Examples/Building a Simple Classifier/.savedWithData b/ADM-master/Example Workflows/Basic Examples/Building a Simple Classifier/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..657008685d0b5d4104d5f9058625a9feaf1f1210 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Building a Simple Classifier/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user Vincenzo on Fri Nov 17 17:01:36 CET 2017 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Basic Examples/Building 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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Simple Model Training for ClassificationThis workflow demonstrates how a simple classifier is built and applied to new data. It also illustrates the use of KNIME's hiliting capabilities, which allow interactive views to beconnected within the same workflow.Task Predict the income group from demographic attributes of the adult data set (census data).Find more information on KNIME's Learning Hub at http://www.knime.org/learning-hub (tutorials, videos, white papers, many more workflows) + + + + + + Data ReadingRead the adult data set file.There is one row for eachperson, plus demographic infoand the income group. Thefile is located in TheData/Basics/ + + + + + + Graphical PropertiesAssign colors by incomegroup. + + + + + + Data PartitioningCreate two separatepartitions from originaldata set: training set(80%) and test set (20%). + + + + + + Train a ModelThis node builds a decision tree. OtherLearner nodes train other models. MostLearner nodes output a PMML model(blue square output port). + + + + + + Apply the ModelPredictor nodes applya specific model to adata set and appendthe model predictions. + + + + + + Score the ModelCompute a confusionmatrix between realand predicted classvalues and calculatethe related accuracymeasures. + + + + + + Visualize Create interactive scatter plot. + + + + + + Descriptive Statistics Calculate the statisticalproperties of the data setattributes. + + + + + + Interactive TableDisplay table of the entire data + + + + training set + + + + test set + + Try this:KNIME's Interactive Visualizations: 1) Execute the workflow2) Open the Scorer node view3) Hilite a cell in the confusion matrix4) Open the Interactive Table view5) Select "Hilite"->"Filter"->"Show Hilited Only" This shows only the misclassified data rows. + + + Reading adult.csvRed for income "<=50K"Blue for income ">50K"Apply decision tree modelto test setRandom drawing 80% upper port20% lower portConfusion matrixaccuracy measuresShow entire data as tableStats and exploratoryhistograms in ViewTrain to predictclass "income"Age vs. number-hourscolor-coded by income + + File Reader + + + + Color Manager + + + + + + + + + Decision TreePredictor + + + + + + Partitioning + + + + + + Scorer + + + + + + Interactive Table + + + + Statistics + + + + + + + DecisionTree Learner + + + + + JavaScriptScatter Plot + + + + + + + + + Simple Model Training for ClassificationThis workflow demonstrates how a simple classifier is built and applied to new data. It also illustrates the use of KNIME's hiliting capabilities, which allow interactive views to beconnected within the same workflow.Task Predict the income group from demographic attributes of the adult data set (census data).Find more information on KNIME's Learning Hub at http://www.knime.org/learning-hub (tutorials, videos, white papers, many more workflows) + + + + + + Data ReadingRead the adult data set file.There is one row for eachperson, plus demographic infoand the income group. Thefile is located in TheData/Basics/ + + + + + + Graphical PropertiesAssign colors by incomegroup. + + + + + + Data PartitioningCreate two separatepartitions from originaldata set: training set(80%) and test set (20%). + + + + + + Train a ModelThis node builds a decision tree. OtherLearner nodes train other models. MostLearner nodes output a PMML model(blue square output port). + + + + + + Apply the ModelPredictor nodes applya specific model to adata set and appendthe model predictions. + + + + + + Score the ModelCompute a confusionmatrix between realand predicted classvalues and calculatethe related accuracymeasures. + + + + + + Visualize Create interactive scatter plot. + + + + + + Descriptive Statistics Calculate the statisticalproperties of the data setattributes. + + + + + + Interactive TableDisplay table of the entire data + + + + training set + + + + test set + + Try this:KNIME's Interactive Visualizations: 1) Execute the workflow2) Open the Scorer node view3) Hilite a cell in the confusion matrix4) Open the Interactive Table view5) Select "Hilite"->"Filter"->"Show Hilited Only" This shows only the misclassified data rows. + + + Reading adult.csvRed for income "<=50K"Blue for income ">50K"Apply decision tree modelto test setRandom drawing 80% upper port20% lower portConfusion matrixaccuracy measuresShow entire data as tableStats and exploratoryhistograms in ViewTrain to predictclass "income"Age vs. number-hourscolor-coded by income + + File Reader + + + + Color Manager + + + + + + + Decision TreePredictor + + + + + + Partitioning + + + + + + Scorer + + + + + + Interactive Table + + + + Statistics + + + + + + + DecisionTree Learner + + + + + JavaScriptScatter Plot + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/ADM-master/Example Workflows/Basic Examples/Building a Simple Classifier/workflowset.meta b/ADM-master/Example Workflows/Basic Examples/Building a Simple Classifier/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..adf6db185199ad8a0373391d6cbee72bc118f32f --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Building a Simple Classifier/workflowset.meta @@ -0,0 +1,10 @@ + +KNIME +25/6/2016 +Simple Model Training for Classification + +Task. From adult data set (census data) predict income group from demographic attributes. + +URL: Learning Hub http://www.knime.org/learning-hub +TAG: model training, classification, training, testing + diff --git a/ADM-master/Example Workflows/Basic Examples/Data Blending/.savedWithData b/ADM-master/Example Workflows/Basic Examples/Data Blending/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..c610b3e06b63fd88b68c7576f805de9b01dc084a --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Data Blending/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user Marc on Fri Jan 31 11:32:13 CET 2020 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Basic Examples/Data Blending/Cell Replacer (#129)/settings.xml b/ADM-master/Example Workflows/Basic Examples/Data Blending/Cell Replacer 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Blending/workflow.knime b/ADM-master/Example Workflows/Basic Examples/Data Blending/workflow.knime new file mode 100644 index 0000000000000000000000000000000000000000..b5924ce36ebaaa1ac9008c163f335c9911533afe --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Data Blending/workflow.knime @@ -0,0 +1,692 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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b/ADM-master/Example Workflows/Basic Examples/Data Blending/workflow.svg @@ -0,0 +1,2462 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Data Blending and ETLThis workflow illustrates how to blend different data sources whithin KNIME Analytics Platform. A Java Script node is used to visualize average age vs. product in the resulting blended table.Task Blend together many different data sources through an effective ETL (Extract, Transform and Loading).Learning Hub http://www.knime.org/learning-hub contains useful links, e.g. tutorials, videos, books, slides, etc ... for each kind of data analytics topic. + + + + + + Data Reading + + 6 data sources: - CSV file - Webdata Old System.csv (Old WebSystem) - SQLite Database - WebActivity.sqlite (New WebSystem) - .table file - Sentiment Analysis.table - CSV file - Sentiment Rating.csv - CSV file - Demographics.csv - Excel file - Prooduct Data2.xlsThe files are located in TheData/Misc/ + + + + + + Data Blending & ETL - Concatenate web activity data from old and new systems - Replace sentiment texts with numeric scores - Set all product names to lowercase - Join all data together by the customerKey column - Group by products, and aggregate by age (mean) + + + + + + Visualize Create a bar chart showing the average age of customers foreach product + + + + All joins are inner joinson column CustomerKey + + + + Try this:KNIME's InteractiveVisualizations:1) Execute the workflow up tothe GroupBy node2) Open the configurationwindow for the JavaScript BarChart node 3) Try to personalize thevisualization of the plot, usingthe General Plot options andthe Control option. + + + Replace sentiment labels with sentiment ratingsConcatenate the two data tablesAdd Demographics datajoinweb activity &sentiment scoresAdd product dataExclude Sentiment Ratingand Web ActivityRename First(WebActivity) as WebActivityReadingDemographics.csvReading SentimentAnalysis.tableReadingSentimentRating.csvReading WebdataOldSystem.csvProducts in lower caseCalculate average customer agebyproductvisualizeaverage age vs. productReading WebActivity.sqliteFirst Web Activityfrom table WebActivityReadingProductData2.xls + + Cell Replacer + + + + + + Concatenate + + + + + + + Joiner + + + + + + Joiner + + + + + + Joiner + + + + + + Column Filter + + + + + Column Rename + + + + + File Reader + + + + Table Reader + + + + File Reader + + + + File Reader + + + + String Manipulation + + + + + GroupBy + + + + + Bar Chart + + + + + + + + SQLite Connector + + + + DB Query Reader + + + + + Excel Reader (XLS) + + + + + + + + Data Blending and ETLThis workflow illustrates how to blend different data sources whithin KNIME Analytics Platform. A Java Script node is used to visualize average age vs. product in the resulting blended table.Task Blend together many different data sources through an effective ETL (Extract, Transform and Loading).Learning Hub http://www.knime.org/learning-hub contains useful links, e.g. tutorials, videos, books, slides, etc ... for each kind of data analytics topic. + + + + + + Data Reading + + 6 data sources: - CSV file - Webdata Old System.csv (Old WebSystem) - SQLite Database - WebActivity.sqlite (New WebSystem) - .table file - Sentiment Analysis.table - CSV file - Sentiment Rating.csv - CSV file - Demographics.csv - Excel file - Prooduct Data2.xlsThe files are located in TheData/Misc/ + + + + + + Data Blending & ETL - Concatenate web activity data from old and new systems - Replace sentiment texts with numeric scores - Set all product names to lowercase - Join all data together by the customerKey column - Group by products, and aggregate by age (mean) + + + + + + Visualize Create a bar chart showing the average age of customers foreach product + + + + All joins are inner joinson column CustomerKey + + + + Try this:KNIME's InteractiveVisualizations:1) Execute the workflow up tothe GroupBy node2) Open the configurationwindow for the JavaScript BarChart node 3) Try to personalize thevisualization of the plot, usingthe General Plot options andthe Control option. + + + Replace sentiment labels with sentiment ratingsConcatenate the two data tablesAdd Demographics datajoinweb activity &sentiment scoresAdd product dataExclude Sentiment Ratingand Web ActivityRename First(WebActivity) as WebActivityReadingDemographics.csvReading SentimentAnalysis.tableReadingSentimentRating.csvReading WebdataOldSystem.csvProducts in lower caseCalculate average customer agebyproductvisualizeaverage age vs. productReading WebActivity.sqliteFirst Web Activityfrom table WebActivityReadingProductData2.xls + + Cell Replacer + + + + + + Concatenate + + + + + + + Joiner + + + + + + Joiner + + + + + + Joiner + + + + + + Column Filter + + + + + Column Rename + + + + + File Reader + + + + Table Reader + + + + File Reader + + + + File Reader + + + + String Manipulation + + + + + GroupBy + + + + + Bar Chart + + + + + + + + SQLite Connector + + + + DB Query Reader + + + + + Excel Reader (XLS) + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/ADM-master/Example Workflows/Basic Examples/Data Blending/workflowset.meta b/ADM-master/Example Workflows/Basic Examples/Data Blending/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..585dbb47ccbb26c09082dfa7c50eee692e48dbbc --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Data Blending/workflowset.meta @@ -0,0 +1,10 @@ + +KNIME +29/6/2016 +Data Blending and ETL + +Task. Starting from different data sources this workflow shows how to blend data (extract value from multiple data sources) and how to make efficient ETL (Extract, Transform and Loading) with KNIME Analytics Platform. + +URL: Learning Hub http://www.knime.org/learning-hub +TAG: Sources, SQLite, Data Blending, ETL + diff --git a/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/.savedWithData b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..3d917dd6bd27bfb77df2f3e39a6e7372531b91cb --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user Vincenzo on Fri Nov 17 17:02:54 CET 2017 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/Color Manager (#2)/settings.xml b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/Color Manager (#2)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..869c3a5df17bcc4f1a1b8997f4dbf1a4d942aff5 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/Color Manager (#2)/settings.xml @@ -0,0 +1,77 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/File Reader (#18)/settings.xml b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/File Reader (#18)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..c16a480961ab3a618f33ad3cb8dc453c68d4576b --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/File Reader (#18)/settings.xml @@ -0,0 +1,299 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/Pivoting (#17)/settings.xml b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/Pivoting (#17)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..73d72cfb731abc1d351183599c41df554e9cf399 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/Pivoting (#17)/settings.xml @@ -0,0 +1,193 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/default_report.rptconfig b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/default_report.rptconfig new file mode 100644 index 0000000000000000000000000000000000000000..2e76b8f58fbeb1169686effa6214af6aeda8ee75 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/default_report.rptconfig @@ -0,0 +1,2 @@ + + diff --git a/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/default_report.rptdesign b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/default_report.rptdesign new file mode 100644 index 0000000000000000000000000000000000000000..910a3756573938adc080d796015c4bb4924c509f --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/default_report.rptdesign @@ -0,0 +1,1807 @@ + + + Eclipse BIRT Designer Version 4.6.0.v201606072122 + in + /templates/blank_report.gif + auto layout + ltr + + + + + + Work class - income + + + + 1 + Row ID + string + + + 2 + workclass + string + + + 3 + <=50K+Count*(age) + integer + + + 4 + >50K+Count*(age) + integer + + + + Simple Reporting Example(2) + + + 1 + Row ID + Row ID + string + + + 2 + workclass + workclass + string + 12 + + + 3 + <=50K+Count*(age) + <=50K+Count*(age) + integer + 4 + + + 4 + >50K+Count*(age) + >50K+Count*(age) + integer + 4 + + + + + + + + + + + + + a4 + 0.25in + 0.25in + 0.25in + 0.25in + + + 1.1666666666666667in + + 40% + + + 30% + + + 30% + + + #7D7D7D + none + none + none + #7D7D7D + solid + + center + center + middle + + center + "Calibri" + 12pt + #7D7D7D + left + auto + + + + + middle + + "Calibri" + 12pt + 0pt + center + middle + html + + + + + right + middle + + -50px + -50px + 150px + 150px + embed + knime_logo_birt_svg.svg + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/workflow.knime b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/workflow.knime new file mode 100644 index 0000000000000000000000000000000000000000..e522dcb0091e0df25a3f4bf5bfd73cf5595f26a6 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/workflow.knime @@ -0,0 +1,360 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/workflowset.meta b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..d016de69b819dda2ea0db5aa889aae4447a75d44 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Simple Reporting Example/workflowset.meta @@ -0,0 +1,15 @@ + + + KNIME + 1/0/1970/1:0:0 +01:00 + Simple Reporting Example + +This is a simple example of a KNIME workflow as source for a report. + +The report shows the distribution of income over the work class. + +Requirements: + - KNIME Report Designer + 2016-08-19 10:36:37 +0000 + 2016-04-18 16:20:45 +0200 + diff --git a/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/.project b/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/.project new file mode 100644 index 0000000000000000000000000000000000000000..e31cb1e5580362eab8d4b899fed34a5b8626852f --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/.project @@ -0,0 +1,12 @@ + + + My_First_Workflow + + + + + + + org.knime.workbench.ui.KNIMEProjectNature + + diff --git a/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/Color Manager (#6)/settings.xml b/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/Color Manager (#6)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..9a3b2b5118f9f410ea1104d9c0b7dc09f64a3df4 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/Color Manager (#6)/settings.xml @@ -0,0 +1,61 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/Column Filter (#2)/settings.xml b/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/Column Filter (#2)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..500df9f664311c9e7442b9e7d3b8968ba7db7507 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/Column Filter (#2)/settings.xml @@ -0,0 +1,83 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/workflowset.meta b/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..aab344f78904de5758c27fc55a5dec4aae0e6e93 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/Visual Analysis of Sales Data/workflowset.meta @@ -0,0 +1,16 @@ + +Maarit Laukkanen +23/6/2018/12:00:01 +02:00 +Visual Analysis of Sales Data + +Workflow that is built according to the instructions on the "Build a workflow" page and in the KNIME Quickstart Guide + +Shows possible steps in analyzing (sales) data +1. Data access - Reading a csv file +2. Data preprocessing - Filtering columns and rows +3. Data visualization - Assigning colors to groups in the data. Building graphs. + +URL: Build a workflow https://www.knime.com/getting-started +URL: KNIME Quickstart Guide https://docs.knime.com/latest/analytics_platform_quickstart_guide/index.html +TAGS: data access,row filtering,column filtering,data visualization,quickstart guide,beginner,getting started,first workflow + diff --git a/ADM-master/Example Workflows/Basic Examples/workflowset.meta b/ADM-master/Example Workflows/Basic Examples/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..df501e308a6644a4203b016ac933f3b051fe06f4 --- /dev/null +++ b/ADM-master/Example Workflows/Basic Examples/workflowset.meta @@ -0,0 +1,5 @@ + + +21/6/2016 + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Churn Prediction/Building a Churn Prediction Model/.savedWithData b/ADM-master/Example Workflows/Customer Intelligence/Churn Prediction/Building a Churn Prediction Model/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..726e00c9b7707b228df03e6de31abbf12e63c676 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Churn Prediction/Building a Churn Prediction Model/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user Marc on Fri Jan 31 11:34:55 CET 2020 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Customer Intelligence/Churn Prediction/Building a Churn Prediction Model/workflow.knime b/ADM-master/Example Workflows/Customer Intelligence/Churn Prediction/Building a Churn Prediction Model/workflow.knime new file mode 100644 index 0000000000000000000000000000000000000000..68793dfac089112525b3f04c0122b7a1f62f09a6 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Churn Prediction/Building a Churn Prediction Model/workflow.knime @@ -0,0 +1,547 @@ + + + + + + + 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Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/Cross Validation _SVM_ (#44)/Apply the Mo (#38)/workflow.knime @@ -0,0 +1,157 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/Cross Validation _SVM_ (#44)/Creation of (#37)/RowID (#293)/settings.xml b/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/Cross Validation _SVM_ (#44)/Creation of (#37)/RowID (#293)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..5ff23908c91e7690722cb0b4f296a9bd9f70151f --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/Cross Validation _SVM_ (#44)/Creation of (#37)/RowID (#293)/settings.xml @@ -0,0 +1,90 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/Cross Validation _SVM_ (#44)/SVM Learner (#31)/settings.xml b/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/Cross Validation _SVM_ (#44)/SVM Learner (#31)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..bd51a4fa0631c3709d8a1c57f0bf8b179319b2e0 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/Cross Validation _SVM_ (#44)/SVM Learner (#31)/settings.xml @@ -0,0 +1,91 @@ + + + + + + + + + + + + + + + + + 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Scoring Model/Cross Validation _SVM_ (#44)/workflow.knime b/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/Cross Validation _SVM_ (#44)/workflow.knime new file mode 100644 index 0000000000000000000000000000000000000000..61467dad823ae09a23a18bc1a06ee7ee92859257 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/Cross Validation _SVM_ (#44)/workflow.knime @@ -0,0 +1,542 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/File Reader (#57)/settings.xml @@ -0,0 +1,380 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/PMML Writer (#55)/settings.xml b/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/PMML Writer (#55)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..46fa9a527689d129dae7505f472883143f8d4b37 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Credit Scoring/Building a Credit Scoring Model/PMML Writer (#55)/settings.xml @@ -0,0 +1,60 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/.savedWithData b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..e6ac8c1e88263676fb99936d22909f1b9fcc5714 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user Marc on Fri Jan 31 11:37:24 CET 2020 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Denormalizer _PMML_ (#140)/settings.xml b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Denormalizer _PMML_ (#140)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..1d00cedcf649812048aa95383a382ba7bd9e8e0c --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Denormalizer _PMML_ (#140)/settings.xml @@ -0,0 +1,62 @@ + + + + + + + + + + + + + + + + + + + + + + + + + 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Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Excel Reader _XLS_ (#145)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..5d79843299fd01811cca1a98a6c7cd94d7bf9762 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Excel Reader _XLS_ (#145)/settings.xml @@ -0,0 +1,298 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/File Reader (#91)/settings.xml b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/File Reader (#91)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..7f818a485a85b44002f34743557d955cb82427e9 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/File Reader (#91)/settings.xml @@ -0,0 +1,206 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Joiner (#95)/settings.xml b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Joiner (#95)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..33cb0544a4c8f1f0092504f613b0a3acbb24e222 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Joiner (#95)/settings.xml @@ -0,0 +1,106 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Loop End (#107)/settings.xml b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Loop End (#107)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..5d565311d1370ace3108a9fc40a639584184f513 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Loop End (#107)/settings.xml @@ -0,0 +1,55 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Normalizer _PMML_ (#139)/settings.xml b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Normalizer _PMML_ (#139)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..f66c7299a6c082220b78b232e51e8636d17cf04e --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Normalizer _PMML_ (#139)/settings.xml @@ -0,0 +1,78 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Number To String (#144)/settings.xml b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Number To String (#144)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..11284aeecdc7747072c5711b7349ee815cf90562 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/Number To String (#144)/settings.xml @@ -0,0 +1,94 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/workflow.knime new file mode 100644 index 0000000000000000000000000000000000000000..a21821d808cea74710e42f83582b87026ddba725 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/Customer Segmentation/Basic Customer Segmentation Use Case/workflow.knime @@ -0,0 +1,430 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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No input is required from business analyst. + +URL: Customer Segmentation comfortably from a Web Browser https://www.knime.org/files/white-papers/customer_segmentation.pdf +TAG: clustering, k-Means, customer segmentation + diff --git a/ADM-master/Example Workflows/Customer Intelligence/workflowset.meta b/ADM-master/Example Workflows/Customer Intelligence/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..df501e308a6644a4203b016ac933f3b051fe06f4 --- /dev/null +++ b/ADM-master/Example Workflows/Customer Intelligence/workflowset.meta @@ -0,0 +1,5 @@ + + +21/6/2016 + + diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/.artifacts/workflow-configuration-representation.json b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/.artifacts/workflow-configuration-representation.json new file mode 100644 index 0000000000000000000000000000000000000000..d0491c482432013be43fcad0a6bf9c86d1b8dee6 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/.artifacts/workflow-configuration-representation.json @@ -0,0 +1,21 @@ + +{ + "MinSupport-124": { + "@class": "org.knime.js.base.node.configuration.input.dbl.DoubleDialogNodeRepresentation", + "label": "Minimum Support", + "description": "Minimum support for frequent item set mining.", + "required": true, + "defaultValue": { + "@class": "org.knime.js.base.node.configuration.input.dbl.DoubleDialogNodeValue", + "double": 2.5 + }, + "currentValue": { + "@class": "org.knime.js.base.node.configuration.input.dbl.DoubleDialogNodeValue", + "double": 2.5 + }, + "usemin": false, + "usemax": false, + "min": 0.0, + "max": 1.0 + } +} \ No newline at end of file diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/.artifacts/workflow-configuration.json b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/.artifacts/workflow-configuration.json new file mode 100644 index 0000000000000000000000000000000000000000..438a49c427a71b9b58f8bf570abe1c37c3486441 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/.artifacts/workflow-configuration.json @@ -0,0 +1,8 @@ + +{ + "MinSupport-124": { + "label": "Minimum Support", + "type": "number", + "default": 2.5 + } +} \ No newline at end of file diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/.savedWithData b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..b204ab20c321555d7a5c7988a48d5b0038017b1d --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user Marc on Fri Jan 31 11:42:35 CET 2020 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Association Rule Learner _Borgelt_ (#110)/settings.xml b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Association Rule Learner _Borgelt_ (#110)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..055617a5fc95f2f94ac76d8ae96d71f462586c20 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Association Rule Learner _Borgelt_ (#110)/settings.xml @@ -0,0 +1,106 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Cell Splitter (#123)/settings.xml b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Cell Splitter (#123)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..bce83e26bd380e3eda59b8c336433e0cfd2407f5 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Cell Splitter (#123)/settings.xml @@ -0,0 +1,66 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Double Configuration (#124)/settings.xml b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Double Configuration (#124)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..077e42fe7ab701c6901a62b048177edbb8e37a4e --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Double Configuration (#124)/settings.xml @@ -0,0 +1,70 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/.savedWithData b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..b204ab20c321555d7a5c7988a48d5b0038017b1d --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user Marc on Fri Jan 31 11:42:35 CET 2020 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/Column Rename (#114)/settings.xml b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/Column Rename (#114)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..2e01c71567fea61b45d0f5087cab7d46233b32e6 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/Column Rename (#114)/settings.xml @@ -0,0 +1,92 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/Column Rename (#43)/settings.xml b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/Column Rename (#43)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..12cb9ec435b4b7bc9446c42d69e3e7d126a43197 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/Column Rename (#43)/settings.xml @@ -0,0 +1,82 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/GroupBy (#35)/settings.xml b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/Find Recomme (#111)/GroupBy 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Workflows/Retail/Finding Association Rules for Market Basket Analysis/workflow.svg new file mode 100644 index 0000000000000000000000000000000000000000..57b5126997e307b231d4259cf72c8c7cb9c81343 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/workflow.svg @@ -0,0 +1,1333 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Market Basket Analysis: Build Association RulesThe aim of a market basket analysis is to analyze whether there are combinations of products that frequently co-occur in transactions. This workflow illustrates how to build arecommendation engine for market basket analysis. + Task Build a recommendation engine for market basket analysis using the Borgelt version of the Apriori algorithm.A use case is described at URL: https://www.knime.org/knime-applications/market-basket-analysis-and-recommendation-enginesThe blog is available at the following URL: https://www.knime.org/blog/market-basket-analysis-and-recommendation-enginesCheck how to work with collections at the following URL: https://www.knime.org/blog/collection-cookbook + + + + + + Data Reading2 files: - Transactions - Products info Transactions are in the shape of concatenated Strings. The AssociationRule learner node requires a collection of items as input. The CellSplitter node here transforms string rows into item collections. Anotherway of getting item collections is to use the aggregation method, List,in a GroupBy node.Both files are located in TheData/BasketsFor more info, check the blog post https://www.knime.org/blog/collection-cookbook + + + + + + Build Association RulesThe Association Rule Learner(Borgelt) node implements the "Apriori" algorithm to find theassociation rules. - min. set size = 1 - min rule confidence = 10% - min support (in %) is controlledby the Double Configuration node + + + + + + Save the ModelThe model here is a table ofrules. We write the associationrules to a file. + + + + + + Data Processing + - Create RuleID from RowID - Ungroup antecedent itemcollection - Join prices and product namesto antecedent items - Join consequent item toproduct name - Add price to consequent item - Calculate price stats and rulerevenue + + + + Transactions1 row = 1 transactionproduct IDs bought for each transaction + + + + Items:ID, price, productName + Min. set size = 1 min rule confidence = 10%min support is controlled by Double Input Quickform node in %Write association rulesto a fileReadingtransactions.tableReadingitems.tableconvertItem ID toStringTransform string rowsinto item collectionMin support = 2.5Association RuleLearner (Borgelt) + + + + + + Ungroup collections + + + + + + Table Writer + + + + + Table Reader + + + + Table Reader + + + + Number To String + + + + + Cell Splitter + + + + + DoubleConfiguration + + + + + + + + + Market Basket Analysis: Build Association RulesThe aim of a market basket analysis is to analyze whether there are combinations of products that frequently co-occur in transactions. This workflow illustrates how to build arecommendation engine for market basket analysis. + Task Build a recommendation engine for market basket analysis using the Borgelt version of the Apriori algorithm.A use case is described at URL: https://www.knime.org/knime-applications/market-basket-analysis-and-recommendation-enginesThe blog is available at the following URL: https://www.knime.org/blog/market-basket-analysis-and-recommendation-enginesCheck how to work with collections at the following URL: https://www.knime.org/blog/collection-cookbook + + + + + + Data Reading2 files: - Transactions - Products info Transactions are in the shape of concatenated Strings. The AssociationRule learner node requires a collection of items as input. The CellSplitter node here transforms string rows into item collections. Anotherway of getting item collections is to use the aggregation method, List,in a GroupBy node.Both files are located in TheData/BasketsFor more info, check the blog post https://www.knime.org/blog/collection-cookbook + + + + + + Build Association RulesThe Association Rule Learner(Borgelt) node implements the "Apriori" algorithm to find theassociation rules. - min. set size = 1 - min rule confidence = 10% - min support (in %) is controlledby the Double Configuration node + + + + + + Save the ModelThe model here is a table ofrules. We write the associationrules to a file. + + + + + + Data Processing + - Create RuleID from RowID - Ungroup antecedent itemcollection - Join prices and product namesto antecedent items - Join consequent item toproduct name - Add price to consequent item - Calculate price stats and rulerevenue + + + + Transactions1 row = 1 transactionproduct IDs bought for each transaction + + + + Items:ID, price, productName + Min. set size = 1 min rule confidence = 10%min support is controlled by Double Input Quickform node in %Write association rulesto a fileReadingtransactions.tableReadingitems.tableconvertItem ID toStringTransform string rowsinto item collectionMin support = 2.5Association RuleLearner (Borgelt) + + + + + + Ungroup collections + + + + + + Table Writer + + + + + Table Reader + + + + Table Reader + + + + Number To String + + + + + Cell Splitter + + + + + DoubleConfiguration + + + + + + + + + + + + + \ No newline at end of file diff --git a/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/workflowset.meta b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..57288c5ef3afa22df734ae2b4da35f0dd775eb44 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Finding Association Rules for Market Basket Analysis/workflowset.meta @@ -0,0 +1,14 @@ + + + KNIME + 26/2/2015 + Market Basket Analysis: Building Association Rules + +This workflow builds a recommandation engine for market basket analysis using the Borgelt version of the Apriori algorithm. + +URL: Market Basket Analysis and Recommandation Engines https://www.knime.org/knime-applications/market-basket-analysis-and-recommendation-engines + +BLOG: Market Basket Analysis and Recommandation Engines https://www.knime.org/blog/market-basket-analysis-and-recommendation-engines + +TAG: retail, association rules, recommandation engine, market basket analysis, MBA, Apriori algorithm, Borgelt, data collection, Quickform + \ No newline at end of file diff --git a/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/.savedWithData b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..e4cde3e8605b2bac8fa9ce928567d8ce93eba09e --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user Marc on Fri Jan 31 11:50:28 CET 2020 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/Cell Splitter (#134)/settings.xml b/ADM-master/Example Workflows/Retail/Using Association Rules for Market 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Association Rules for Market Basket Analysis/default_report.rptconfig b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/default_report.rptconfig new file mode 100644 index 0000000000000000000000000000000000000000..2e76b8f58fbeb1169686effa6214af6aeda8ee75 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/default_report.rptconfig @@ -0,0 +1,2 @@ + + diff --git a/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/default_report.rptdesign b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/default_report.rptdesign new file mode 100644 index 0000000000000000000000000000000000000000..c54bc7d29db454ed99bac653c66dae4a66f1b85c --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/default_report.rptdesign @@ -0,0 +1,1155 @@ + + + Eclipse BIRT Designer Version 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PriceRecommendedProduct + PriceRecommendedProduct + float + 8 + + + 14 + RecommendedProduct + RecommendedProduct + string + 12 + + + 15 + RuleRevenue + RuleRevenue + float + 8 + + + 16 + price current cart + price current cart + float + 8 + + + + + + + + + + + + + a4 + 0.25in + 0.25in + 0.25in + 0.25in + + + 1.1666666666666667in + + 40% + + + 30% + + + 30% + + + #7D7D7D + none + none + none + #7D7D7D + solid + + center + center + middle + + center + "Calibri" + 12pt + #7D7D7D + left + auto + + + + + middle + + "Calibri" + 12pt + 0pt + center + middle + html + + + + + right + middle + + -50px + -50px + 150px + 150px + embed + knime_logo_birt_svg.svg + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/workflow.knime b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/workflow.knime new file mode 100644 index 0000000000000000000000000000000000000000..5e33a6e4edf688e27967bbe679bd230003e6ed15 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/workflow.knime @@ -0,0 +1,404 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/workflow.svg b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/workflow.svg new file mode 100644 index 0000000000000000000000000000000000000000..f9bbc0cf72c53b250b1490d7f38a76d0800ded95 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/Using Association Rules for Market Basket Analysis/workflow.svg @@ -0,0 +1,1485 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Market Basket Analysis: Deploy Association RulesTask. Apply the pre-built association rules to a new set of dataA use case is described at URL: https://www.knime.org/knime-applications/market-basket-analysis-and-recommendation-enginesCheck how to work with collections at the following URL: https://www.knime.org/blog/collection-cookbook + + + + + + Data Reading3 files: - Association rules - Products info - Read current basket data. The files are located in TheData/BasketsFor the basket data, in this case we used a Table Creatornode. You can read your current basket data from yourdatabase or from whatever source. Double-click the metanode to see the subworkflow + + + + + + ReportingDisplay the two recommendations in a report. + + + + + + Data Processing + - Find the best match for the current basket using the Subset Matchernode - Find top matching rules in terms of highest support, highestconfidence, and highest revenue - Calculate total price of current basket - Append price of current basket - Split the two top recommendations in two different tablesDouble-click the metanode to see the subworkflow + + + + + + Try this:Create your own report:1) Execute the entire workflow2) Click the “Open the report”button in the toolbar (make surethat the KNIME Report Designerextension is installed. If not, go toFile, then Install KNIMEExtensions/KNIME ReportDesigner)3) Select "Run" from the reportenvironment 4) Choose your preferred format tosee the final report.Note: If you have changed theKNIME Workbench, click View/Reset Perspective to see allpanels in the Report Designer + + + Read association rules and product infoRecommendationFind best match for yourcurrent shop cartInsert the content of your shop cart through a Table Creator nodeRecommendation 2Calculate total price of current basketFind top 2 rulesby: support, confidence, revenueAppend price ofcurrent basketand split the tworecommendationsTransforms string rowinto item collection + + Product Infos /Association Rules + + + + + + Data to Report + + + + Subset Matcher + + + + + + Table Creator + + + + Data to Report + + + + Total Price ofcurrent Basket + + + + + + + + Top 2 Rules + + + + + + Refine + + + + + + + + Cell Splitter + + + + + + + + Market Basket Analysis: Deploy Association RulesTask. Apply the pre-built association rules to a new set of dataA use case is described at URL: https://www.knime.org/knime-applications/market-basket-analysis-and-recommendation-enginesCheck how to work with collections at the following URL: https://www.knime.org/blog/collection-cookbook + + + + + + Data Reading3 files: - Association rules - Products info - Read current basket data. The files are located in TheData/BasketsFor the basket data, in this case we used a Table Creatornode. You can read your current basket data from yourdatabase or from whatever source. Double-click the metanode to see the subworkflow + + + + + + ReportingDisplay the two recommendations in a report. + + + + + + Data Processing + - Find the best match for the current basket using the Subset Matchernode - Find top matching rules in terms of highest support, highestconfidence, and highest revenue - Calculate total price of current basket - Append price of current basket - Split the two top recommendations in two different tablesDouble-click the metanode to see the subworkflow + + + + + + Try this:Create your own report:1) Execute the entire workflow2) Click the “Open the report”button in the toolbar (make surethat the KNIME Report Designerextension is installed. If not, go toFile, then Install KNIMEExtensions/KNIME ReportDesigner)3) Select "Run" from the reportenvironment 4) Choose your preferred format tosee the final report.Note: If you have changed theKNIME Workbench, click View/Reset Perspective to see allpanels in the Report Designer + + + Read association rules and product infoRecommendationFind best match for yourcurrent shop cartInsert the content of your shop cart through a Table Creator nodeRecommendation 2Calculate total price of current basketFind top 2 rulesby: support, confidence, revenueAppend price ofcurrent basketand split the tworecommendationsTransforms string rowinto item collection + + Product Infos /Association Rules + + + + + + Data to Report + + + + Subset Matcher + + + + + + Table Creator + + + + Data to Report + + + + Total Price ofcurrent Basket + + + + + + Top 2 Rules + + + + + + Refine + + + + + + + + Cell Splitter + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/ADM-master/Example Workflows/Retail/workflowset.meta b/ADM-master/Example Workflows/Retail/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..df501e308a6644a4203b016ac933f3b051fe06f4 --- /dev/null +++ b/ADM-master/Example Workflows/Retail/workflowset.meta @@ -0,0 +1,5 @@ + + +21/6/2016 + + diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/.savedWithData b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..436a2d5b5a43c85e0b04ff5450f34ff85482d1fb --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user jschweig on Mon Jun 17 11:48:52 CEST 2019 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/.savedWithData b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/.savedWithData new file mode 100644 index 0000000000000000000000000000000000000000..436a2d5b5a43c85e0b04ff5450f34ff85482d1fb --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/.savedWithData @@ -0,0 +1,4 @@ +Do not delete this file! +This file serves to indicate that the workflow was written as part of the usual save routine (not exported). + +Workflow was last saved by user jschweig on Mon Jun 17 11:48:52 CEST 2019 \ No newline at end of file diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Case converter (#33)/settings.xml b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Case converter (#33)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..6e81045d0b7ded082a8626a4a8e8845ccb3fdf5a --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Case converter (#33)/settings.xml @@ -0,0 +1,75 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Column Filter (#6)/settings.xml b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Column Filter (#6)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..47e056012d551d1a57b8ca7518dcb1e0b7a5e2d5 --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Column Filter (#6)/settings.xml @@ -0,0 +1,81 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Column Rename (#7)/settings.xml b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Column Rename (#7)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..24890ae81da7f7cb398729ed9e087c8b87d339aa --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Column Rename (#7)/settings.xml @@ -0,0 +1,57 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/N Chars Filter (#31)/settings.xml b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/N Chars Filter (#31)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..edd624a221aa206bde24bde9d51503bfddbf835c --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/N Chars Filter (#31)/settings.xml @@ -0,0 +1,75 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Number Filter (#30)/settings.xml b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Number Filter (#30)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..9fd7900eb5e8ad2bee89a8c1fbcd167ab8798590 --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Number Filter (#30)/settings.xml @@ -0,0 +1,75 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Punctuation Erasure (#29)/settings.xml b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Punctuation Erasure (#29)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..4867404c75d1820da14a33395a1088e6fb003415 --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/Punctuation Erasure (#29)/settings.xml @@ -0,0 +1,70 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/workflow.knime b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/workflow.knime new file mode 100644 index 0000000000000000000000000000000000000000..43811ae2e3fd5c1d24111367be5bcb84128fcdac --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/Document Cre (#287)/workflow.knime @@ -0,0 +1,283 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/workflow.knime b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/workflow.knime new file mode 100644 index 0000000000000000000000000000000000000000..3efe63d1f2946266719fc35c2ad97b9306ed9a8b --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/workflow.knime @@ -0,0 +1,307 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/workflow.svg b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/workflow.svg new file mode 100644 index 0000000000000000000000000000000000000000..b1de5cdc1a630bba2d29679bc79c4aca2efe5389 --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/workflow.svg @@ -0,0 +1,848 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Topic Detection Analysis - Movie ReviewsTopic detection extracts relevant information elements from unstructured text documents and groups them to define a number of topics. This workflowillustrates how to perform a topic detection analysis on movie reviews.Task. Perform a topic detection in IMDb reviews. + + + + + + Pre-processing + - Classic pre-processing of documents:Punctuation Erasure, Number Filter, NChars Filter, Stop Word Filter, CaseConverterDouble-click the metanode to see thesubworkflow + + + + + + Data ReadingRead IMDb reviews from aCSV file.The file is located in TheData/SocialMedia + + + + + + Topic DetectionBuild a list of topics of the pre-processeddocuments using the Topic-Extractor (ParallelLDA) node. Use 4 words for each topic and 8topics. + + + + + + GroupingThe GroupBy node concatenatesthe keywords for the identifiedtopics. + + + + + + Try this:1) Go to the configuration windowof the Topic Extractor (ParallelLDA) 2) Try to change the number ofwords and topics that you wouldlike to detect in the document. + + + 4 words for 8 topicsConc terms fortopicsTransformation of strings to documentsReadingTheData/SocialMedia/IMDb-sample.csv + + Topic Extractor(Parallel LDA) + + + + + + + GroupBy + + + + + Document Creation anddocument pre-processing + + + + + File Reader + + + + + + + + + Topic Detection Analysis - Movie ReviewsTopic detection extracts relevant information elements from unstructured text documents and groups them to define a number of topics. This workflowillustrates how to perform a topic detection analysis on movie reviews.Task. Perform a topic detection in IMDb reviews. + + + + + + Pre-processing + - Classic pre-processing of documents:Punctuation Erasure, Number Filter, NChars Filter, Stop Word Filter, CaseConverterDouble-click the metanode to see thesubworkflow + + + + + + Data ReadingRead IMDb reviews from aCSV file.The file is located in TheData/SocialMedia + + + + + + Topic DetectionBuild a list of topics of the pre-processeddocuments using the Topic-Extractor (ParallelLDA) node. Use 4 words for each topic and 8topics. + + + + + + GroupingThe GroupBy node concatenatesthe keywords for the identifiedtopics. + + + + + + Try this:1) Go to the configuration windowof the Topic Extractor (ParallelLDA) 2) Try to change the number ofwords and topics that you wouldlike to detect in the document. + + + 4 words for 8 topicsConc terms fortopicsTransformation of strings to documentsReadingTheData/SocialMedia/IMDb-sample.csv + + Topic Extractor(Parallel LDA) + + + + + + + GroupBy + + + + + Document Creation anddocument pre-processing + + + + + File Reader + + + + + + + + + + + \ No newline at end of file diff --git a/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/workflowset.meta b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..325087481fff3278ec9c6eb40d9a2c74bd308738 --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/Topic Detection Based on Movie Reviews/workflowset.meta @@ -0,0 +1,9 @@ + +KNIME +29/6/2016 +Sentiment Analysis (Classification) of Documents + +This workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and show how to visualize a tag cloud based on positive and negative terms. + +TAG: Sentiment Analysis, Dictionary Based, Positive Words, Negative Words, Tag Cloud + diff --git a/ADM-master/Example Workflows/Social Media/workflowset.meta b/ADM-master/Example Workflows/Social Media/workflowset.meta new file mode 100644 index 0000000000000000000000000000000000000000..df501e308a6644a4203b016ac933f3b051fe06f4 --- /dev/null +++ b/ADM-master/Example Workflows/Social Media/workflowset.meta @@ -0,0 +1,5 @@ + + +21/6/2016 + + diff --git a/ADM-master/Example Workflows/TheData/Basics/adult.csv b/ADM-master/Example Workflows/TheData/Basics/adult.csv new file mode 100644 index 0000000000000000000000000000000000000000..1494dfbd3d6d184fda6ef66819a11be89fa80095 --- /dev/null +++ b/ADM-master/Example Workflows/TheData/Basics/adult.csv @@ -0,0 +1,32563 @@ +age,workclass,fnlwgt,education,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native-country,income +39, State-gov, 77516, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 83311, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 13, United-States, <=50K +38, Private, 215646, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 234721, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 338409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, Cuba, <=50K +37, Private, 284582, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 160187, 9th, 5, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 16, Jamaica, <=50K +52, Self-emp-not-inc, 209642, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Private, 45781, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K +42, Private, 159449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K +37, Private, 280464, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 80, United-States, >50K +30, State-gov, 141297, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +23, Private, 122272, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +32, Private, 205019, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +40, Private, 121772, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K +34, Private, 245487, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, Mexico, <=50K +25, Self-emp-not-inc, 176756, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K +32, Private, 186824, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 28887, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, Self-emp-not-inc, 292175, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, >50K +40, Private, 193524, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +54, Private, 302146, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +35, Federal-gov, 76845, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 117037, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2042, 40, United-States, <=50K +59, Private, 109015, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +56, Local-gov, 216851, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 168294, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, ?, 180211, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, >50K +39, Private, 367260, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +49, Private, 193366, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Local-gov, 190709, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +20, Private, 266015, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 44, United-States, <=50K +45, Private, 386940, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Male, 0, 1408, 40, United-States, <=50K +30, Federal-gov, 59951, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, State-gov, 311512, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 15, United-States, <=50K +48, Private, 242406, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Puerto-Rico, <=50K +21, Private, 197200, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 544091, HS-grad, 9, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, <=50K +31, Private, 84154, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, ?, >50K +48, Self-emp-not-inc, 265477, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 507875, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K +53, Self-emp-not-inc, 88506, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 172987, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 94638, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 289980, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +57, Federal-gov, 337895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +53, Private, 144361, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K +44, Private, 128354, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, State-gov, 101603, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 271466, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +25, Private, 32275, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Other, Female, 0, 0, 40, United-States, <=50K +18, Private, 226956, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, ?, <=50K +47, Private, 51835, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 60, Honduras, >50K +50, Federal-gov, 251585, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +47, Self-emp-inc, 109832, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +43, Private, 237993, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 216666, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +35, Private, 56352, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +41, Private, 147372, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K +30, Private, 188146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 40, United-States, <=50K +30, Private, 59496, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 2407, 0, 40, United-States, <=50K +32, ?, 293936, 7th-8th, 4, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +48, Private, 149640, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 116632, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Private, 105598, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 58, United-States, <=50K +36, Private, 155537, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 183175, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 169846, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +49, Self-emp-inc, 191681, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +25, ?, 200681, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 101509, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 32, United-States, <=50K +31, Private, 309974, Bachelors, 13, Separated, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 162298, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +23, Private, 211678, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +79, Private, 124744, Some-college, 10, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 213921, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +40, Private, 32214, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 212759, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K +18, Private, 309634, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 22, United-States, <=50K +31, Local-gov, 125927, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 446839, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +52, Private, 276515, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Cuba, <=50K +46, Private, 51618, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 159937, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +44, Private, 343591, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K +53, Private, 346253, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +49, Local-gov, 268234, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 202051, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 54334, 9th, 5, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Federal-gov, 410867, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +57, Private, 249977, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 286730, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 212563, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +30, Private, 117747, HS-grad, 9, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 1573, 35, ?, <=50K +34, Local-gov, 226296, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Local-gov, 115585, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +48, Self-emp-not-inc, 191277, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K +37, Private, 202683, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K +48, Private, 171095, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, England, <=50K +32, Federal-gov, 249409, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +76, Private, 124191, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 198282, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +47, Self-emp-not-inc, 149116, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +20, Private, 188300, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 103432, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 317660, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +17, ?, 304873, 10th, 6, Never-married, ?, Own-child, White, Female, 34095, 0, 32, United-States, <=50K +30, Private, 194901, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 189265, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 124692, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 432376, Bachelors, 13, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 65324, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Self-emp-not-inc, 335605, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1887, 50, Canada, >50K +28, Private, 377869, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 4064, 0, 25, United-States, <=50K +36, Private, 102864, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 95647, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +56, Self-emp-inc, 303090, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +49, Local-gov, 197371, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +55, Private, 247552, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 56, United-States, <=50K +22, Private, 102632, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K +21, Private, 199915, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 118853, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 77143, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, Germany, <=50K +29, State-gov, 267989, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +19, Private, 301606, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +47, Private, 287828, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +20, Private, 111697, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1719, 28, United-States, <=50K +31, Private, 114937, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +35, ?, 129305, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 365739, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 69621, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +24, Private, 43323, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1762, 40, United-States, <=50K +38, Self-emp-not-inc, 120985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 35, United-States, <=50K +37, Private, 254202, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 146195, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K +38, Federal-gov, 125933, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K +43, Self-emp-not-inc, 56920, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 163127, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K +20, Private, 34310, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +49, Private, 81973, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +61, Self-emp-inc, 66614, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 232782, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 316868, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Mexico, <=50K +45, Private, 196584, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 40, United-States, >50K +70, Private, 105376, Some-college, 10, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 185814, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +22, Private, 175374, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 24, United-States, <=50K +36, Private, 108293, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +64, Private, 181232, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2179, 40, United-States, <=50K +43, ?, 174662, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Local-gov, 186009, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, Mexico, <=50K +34, Private, 198183, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 163003, Bachelors, 13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +21, Private, 296158, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +52, ?, 252903, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +48, Private, 187715, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K +23, Private, 214542, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +71, Self-emp-not-inc, 494223, Some-college, 10, Separated, Sales, Unmarried, Black, Male, 0, 1816, 2, United-States, <=50K +29, Private, 191535, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 228456, Bachelors, 13, Separated, Other-service, Other-relative, Black, Male, 0, 0, 50, United-States, <=50K +68, ?, 38317, 1st-4th, 2, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +25, Private, 252752, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 78374, Masters, 14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +28, Private, 88419, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, England, <=50K +45, Self-emp-not-inc, 201080, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 207157, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +39, Federal-gov, 235485, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +46, State-gov, 102628, Masters, 14, Widowed, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 25828, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K +66, Local-gov, 54826, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +27, Private, 124953, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K +28, State-gov, 175325, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 96062, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K +27, Private, 428030, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +28, State-gov, 149624, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 253814, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +21, Private, 312956, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 483777, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +18, Private, 183930, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +33, Private, 37274, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, <=50K +44, Local-gov, 181344, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 38, United-States, >50K +43, Private, 114580, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 633742, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K +40, Private, 286370, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, >50K +37, Federal-gov, 29054, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, >50K +34, Private, 304030, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 143129, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, ?, 135105, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +31, Private, 99928, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, <=50K +58, State-gov, 109567, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 1, United-States, >50K +38, Private, 155222, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 28, United-States, <=50K +24, Private, 159567, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 523910, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +47, Private, 120939, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Federal-gov, 130760, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 24, United-States, <=50K +23, Private, 197387, 5th-6th, 3, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +36, Private, 99374, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Federal-gov, 56795, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 55, United-States, >50K +35, Private, 138992, Masters, 14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 7298, 0, 40, United-States, >50K +24, Self-emp-not-inc, 32921, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 397317, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K +19, ?, 170653, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Italy, <=50K +51, Private, 259323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Local-gov, 254817, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1340, 40, United-States, <=50K +37, State-gov, 48211, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +18, Private, 140164, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 128757, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Black, Male, 7298, 0, 36, United-States, >50K +35, Private, 36270, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +58, Self-emp-inc, 210563, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 35, United-States, >50K +17, Private, 65368, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K +44, Local-gov, 160943, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +37, Private, 208358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 153790, Some-college, 10, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +60, Private, 85815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-inc, 125417, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 635913, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 60, United-States, >50K +50, Private, 313321, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 182609, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Poland, <=50K +45, Private, 109434, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +25, Private, 255004, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 197860, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, ?, 187656, 1st-4th, 2, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +90, Private, 51744, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 2206, 40, United-States, <=50K +54, Private, 176681, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 20, United-States, <=50K +53, Local-gov, 140359, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +18, Private, 243313, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +60, ?, 24215, 10th, 6, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 10, United-States, <=50K +66, Self-emp-not-inc, 167687, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1409, 0, 50, United-States, <=50K +75, Private, 314209, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, Columbia, <=50K +65, Private, 176796, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 538583, 11th, 7, Separated, Transport-moving, Not-in-family, Black, Male, 3674, 0, 40, United-States, <=50K +41, Private, 130408, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +25, Private, 159732, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +33, Private, 110978, Some-college, 10, Divorced, Craft-repair, Other-relative, Other, Female, 0, 0, 40, United-States, <=50K +28, Private, 76714, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +59, State-gov, 268700, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, State-gov, 170525, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +41, Private, 180138, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Iran, >50K +38, Local-gov, 115076, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +23, Private, 115458, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 347890, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 196001, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, <=50K +24, State-gov, 273905, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, ?, 119156, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +38, Private, 179488, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K +56, Private, 203580, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, ?, <=50K +58, Private, 236596, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +32, Private, 183916, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K +40, Private, 207578, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 60, United-States, >50K +45, Private, 153141, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K +41, Private, 112763, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +42, Private, 390781, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +59, Local-gov, 171328, 10th, 6, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +19, Local-gov, 27382, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 259014, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +42, Self-emp-not-inc, 303044, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K +20, Private, 117789, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 172579, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +45, Private, 187666, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +50, Private, 204518, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 150042, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 98092, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +17, Private, 245918, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +59, Private, 146013, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K +26, Private, 378322, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-inc, 257295, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 75, Thailand, >50K +19, ?, 218956, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, Canada, <=50K +64, Private, 21174, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 185480, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +33, Private, 222205, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K +61, Private, 69867, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 191260, 9th, 5, Never-married, Other-service, Own-child, White, Male, 1055, 0, 24, United-States, <=50K +50, Self-emp-not-inc, 30653, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2407, 0, 98, United-States, <=50K +27, Local-gov, 209109, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K +30, Private, 70377, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 477983, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +44, Private, 170924, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +35, Private, 190174, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 193787, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 279472, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 7298, 0, 48, United-States, >50K +22, Private, 34918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, Germany, <=50K +42, Local-gov, 97688, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +34, Private, 175413, Assoc-acdm, 12, Divorced, Sales, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K +60, Private, 173960, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +21, Private, 205759, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +57, Federal-gov, 425161, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +41, Private, 220531, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +50, Private, 176609, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 371987, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 193884, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Ecuador, <=50K +36, Private, 200352, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 127595, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Local-gov, 220419, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +21, Private, 231931, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 248402, Bachelors, 13, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +65, Private, 111095, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K +37, Self-emp-inc, 57424, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +39, ?, 157443, Masters, 14, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 3464, 0, 40, ?, <=50K +24, Private, 278130, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 169469, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +48, Private, 146268, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K +21, Private, 153718, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, United-States, <=50K +31, Private, 217460, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +55, Private, 238638, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 40, United-States, >50K +24, Private, 303296, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K +43, Private, 173321, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 193945, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 83082, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K +35, Private, 193815, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-inc, 34987, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, United-States, >50K +26, Private, 59306, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 142897, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7298, 0, 35, Taiwan, >50K +19, ?, 860348, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +36, Self-emp-not-inc, 205607, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K +22, Private, 199698, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +24, Private, 191954, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +77, Self-emp-not-inc, 138714, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 399087, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +29, Private, 423158, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +62, Private, 159841, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +39, Self-emp-not-inc, 174308, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 50356, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 50, United-States, <=50K +35, Private, 186110, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 200381, 11th, 7, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +76, Self-emp-not-inc, 174309, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K +63, Self-emp-not-inc, 78383, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, ?, 211601, Assoc-voc, 11, Never-married, ?, Own-child, Black, Female, 0, 0, 15, United-States, <=50K +43, Private, 187728, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 50, United-States, >50K +58, Self-emp-not-inc, 321171, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 127921, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 2050, 0, 55, United-States, <=50K +41, Private, 206565, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K +26, Private, 224563, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 178686, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, Local-gov, 98545, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 242606, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 270942, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 48, Mexico, <=50K +30, Private, 94235, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 71195, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 104112, HS-grad, 9, Never-married, Sales, Unmarried, Black, Male, 0, 0, 30, Haiti, <=50K +45, Private, 261192, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 94936, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 296478, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +36, State-gov, 119272, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 40, United-States, >50K +33, Private, 85043, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +22, State-gov, 293364, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 241895, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +67, ?, 36135, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +30, ?, 151989, Assoc-voc, 11, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 101128, Assoc-acdm, 12, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 25, Iran, <=50K +31, Private, 156464, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K +33, Private, 117963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 192262, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 111363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Local-gov, 329752, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +59, ?, 372020, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Federal-gov, 95432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Private, 161400, 11th, 7, Widowed, Other-service, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K +40, Private, 96129, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 111949, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K +26, Self-emp-not-inc, 117125, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K +36, Private, 348022, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K +62, Private, 270092, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 180609, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +43, Private, 174575, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1564, 45, United-States, >50K +22, Private, 410439, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +28, Private, 92262, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 183081, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 362589, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +57, Private, 212448, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +39, Private, 481060, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Federal-gov, 185885, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +17, Private, 89821, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +40, State-gov, 184018, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, >50K +45, Private, 256649, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +44, Private, 160323, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +20, Local-gov, 350845, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +33, Private, 267404, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 35633, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 80914, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +38, Private, 172927, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +54, Private, 174319, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 214955, 5th-6th, 3, Divorced, Craft-repair, Not-in-family, White, Female, 0, 2339, 45, United-States, <=50K +25, Private, 344991, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 108699, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Local-gov, 117312, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 396099, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +29, Private, 134152, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 162028, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2415, 6, United-States, >50K +19, Private, 25429, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K +19, Private, 232392, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 220098, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K +27, Private, 301302, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +46, Self-emp-not-inc, 277946, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, State-gov, 98101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, ?, >50K +34, Private, 196164, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +44, Private, 115562, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 96975, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 137300, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +25, Private, 86872, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +52, Self-emp-inc, 132178, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Private, 416103, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 108574, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, State-gov, 288353, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 227689, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K +28, Private, 166481, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 2179, 40, Puerto-Rico, <=50K +41, Private, 445382, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 65, United-States, >50K +28, Private, 110145, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 317253, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K +28, ?, 123147, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 1887, 40, United-States, >50K +32, Private, 364657, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Local-gov, 42346, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K +24, Private, 241951, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 118500, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 188386, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +31, State-gov, 1033222, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 92440, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +52, Private, 190762, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 426017, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K +34, Local-gov, 243867, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +34, State-gov, 240283, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 61777, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +17, Private, 175024, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 2176, 0, 18, United-States, <=50K +32, State-gov, 92003, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +29, Private, 188401, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 228528, 10th, 6, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +25, Private, 133373, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +36, Federal-gov, 255191, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K +23, Private, 204653, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 72, Dominican-Republic, <=50K +63, Self-emp-inc, 222289, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Local-gov, 287480, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +80, ?, 107762, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +17, ?, 202521, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 204116, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K +30, Private, 29662, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, >50K +27, Private, 116358, Some-college, 10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 1980, 40, Philippines, <=50K +33, Private, 208405, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Local-gov, 284843, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Black, Male, 594, 0, 60, United-States, <=50K +34, Local-gov, 117018, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 81281, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 340148, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 363425, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 45857, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +24, Federal-gov, 191073, HS-grad, 9, Never-married, Armed-Forces, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 116632, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 405855, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +20, Private, 298227, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +44, Private, 290521, HS-grad, 9, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +51, Private, 56915, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +20, Private, 146538, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, ?, 258872, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K +19, Private, 206399, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-inc, 197332, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +60, Private, 245062, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 197583, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, >50K +44, Self-emp-not-inc, 234885, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +40, Private, 72887, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +30, Private, 180374, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 351299, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K +23, Private, 54012, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, ?, 115745, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 116632, Assoc-acdm, 12, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Local-gov, 288825, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 132601, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 193374, 1st-4th, 2, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 170070, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 126708, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K +52, Private, 35598, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 33983, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 192776, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K +30, Private, 118551, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 16, United-States, >50K +60, Private, 201965, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, >50K +22, ?, 139883, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 285020, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 303990, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +67, Private, 49401, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +46, Private, 279196, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 211870, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K +22, Private, 281432, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 161155, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 197904, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 111746, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Portugal, <=50K +43, Self-emp-not-inc, 170721, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +28, State-gov, 70100, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 193626, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, ?, 271749, 12th, 8, Never-married, ?, Other-relative, Black, Male, 594, 0, 40, United-States, <=50K +25, Private, 189775, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +63, ?, 401531, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K +59, Local-gov, 286967, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +45, Local-gov, 164427, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 91039, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K +40, Private, 347934, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +46, Federal-gov, 371373, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 32220, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +34, Private, 187251, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +33, Private, 178107, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 343121, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +20, Private, 262749, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 403107, 5th-6th, 3, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K +26, Private, 64293, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +72, ?, 303588, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +23, Local-gov, 324960, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K +62, Local-gov, 114060, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 48925, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 180980, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 42, France, <=50K +25, Private, 181054, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 388093, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 249609, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 8, United-States, <=50K +43, Private, 112131, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Local-gov, 543162, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +39, Private, 91996, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 141944, Assoc-voc, 11, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 1380, 42, United-States, <=50K +53, ?, 251804, 5th-6th, 3, Widowed, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +32, Private, 37070, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +34, Private, 337587, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 189346, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +57, ?, 222216, Assoc-voc, 11, Widowed, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +25, Private, 267044, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K +20, ?, 214635, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, United-States, <=50K +21, ?, 204226, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +34, Private, 108116, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Self-emp-inc, 99146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 80, United-States, >50K +50, Private, 196232, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +24, Local-gov, 248344, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +37, Local-gov, 186035, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +44, Private, 177905, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 58, United-States, >50K +28, Private, 85812, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 221172, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +74, Private, 99183, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K +38, Self-emp-not-inc, 190387, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Self-emp-not-inc, 202692, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 109339, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 46, Puerto-Rico, <=50K +26, Private, 108658, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 197202, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 101739, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +67, Private, 231559, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 48, United-States, >50K +39, Local-gov, 207853, 12th, 8, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Private, 190942, 1st-4th, 2, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +29, Private, 102345, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-inc, 41493, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +34, ?, 190027, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 210525, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 133937, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 237903, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 163862, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 201872, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 84179, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +58, Private, 51662, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 8, United-States, <=50K +35, Local-gov, 233327, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 259510, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 36, United-States, <=50K +28, Private, 184831, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 245724, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +36, Self-emp-not-inc, 27053, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +72, Private, 205343, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 229328, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K +33, Federal-gov, 319560, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, >50K +69, Private, 136218, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 54576, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 323069, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, ?, <=50K +34, Private, 148291, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 32, United-States, <=50K +30, Private, 152453, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +28, Private, 114053, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +54, Private, 212960, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K +47, Private, 264052, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 82804, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 334273, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +20, Private, 27337, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K +43, Self-emp-inc, 188436, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 45, United-States, <=50K +45, Private, 433665, 7th-8th, 4, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +29, Self-emp-not-inc, 110663, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +47, Private, 87490, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 42, United-States, <=50K +24, Private, 354351, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 95469, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 242718, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 12, United-States, <=50K +37, Private, 22463, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 40, United-States, >50K +27, Private, 158156, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +29, Private, 350162, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Male, 0, 0, 40, United-States, >50K +18, ?, 165532, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +36, Self-emp-not-inc, 28738, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +58, Local-gov, 283635, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Self-emp-not-inc, 86646, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +65, ?, 195733, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K +57, Private, 69884, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Private, 199713, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 181659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 340939, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 197747, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K +29, Private, 34292, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +18, Private, 156764, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 25826, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 47, United-States, >50K +57, Self-emp-inc, 103948, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +42, ?, 137390, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, ?, 105138, HS-grad, 9, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +60, Private, 39352, 7th-8th, 4, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +31, Private, 168387, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, Canada, >50K +23, Private, 117789, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 267147, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 99399, Some-college, 10, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K +42, Self-emp-not-inc, 214242, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K +25, Private, 200408, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K +49, Private, 136455, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +32, Private, 239824, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 217039, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 28, United-States, <=50K +60, Private, 51290, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Local-gov, 175674, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 194404, Assoc-acdm, 12, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 45612, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +51, Private, 410114, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 182521, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 339772, HS-grad, 9, Separated, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +17, Private, 169658, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 21, United-States, <=50K +52, Private, 200853, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 6849, 0, 60, United-States, <=50K +24, Private, 247564, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 249909, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Local-gov, 208122, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 1055, 0, 40, United-States, <=50K +27, Private, 109881, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +39, Private, 207824, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 369027, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K +50, Self-emp-not-inc, 114117, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 32, United-States, <=50K +52, Self-emp-inc, 51048, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +46, Private, 102388, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K +23, Private, 190483, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +45, Private, 462440, 11th, 7, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +65, Private, 109351, 9th, 5, Widowed, Priv-house-serv, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K +29, Private, 34383, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +47, Private, 241832, 9th, 5, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K +30, Private, 124187, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 60, United-States, <=50K +34, Private, 153614, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +38, Self-emp-not-inc, 267556, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 64, United-States, <=50K +33, Private, 205469, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 268090, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 26, United-States, >50K +47, Self-emp-not-inc, 165039, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Local-gov, 120451, 10th, 6, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 154374, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 60, United-States, >50K +30, Private, 103649, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K +58, Self-emp-not-inc, 35723, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 262601, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 14, United-States, <=50K +21, Private, 226181, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 175697, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +47, Self-emp-inc, 248145, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, Cuba, <=50K +52, Self-emp-not-inc, 289436, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +26, Private, 75654, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +60, Private, 199378, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 160968, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 188563, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K +31, Private, 55849, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +50, Self-emp-inc, 195322, Doctorate, 16, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +31, Local-gov, 402089, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +71, Private, 78277, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K +58, ?, 158611, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, State-gov, 169496, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 130959, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 556660, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 4101, 0, 50, United-States, <=50K +35, Private, 292472, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K +38, State-gov, 143774, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +27, Private, 288341, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 32, United-States, <=50K +29, State-gov, 71592, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +70, ?, 167358, 9th, 5, Widowed, ?, Unmarried, White, Female, 1111, 0, 15, United-States, <=50K +34, Private, 106742, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +44, Private, 219288, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +43, Private, 174524, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Self-emp-not-inc, 335183, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, >50K +35, Private, 261293, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 111900, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 194360, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +20, Private, 81145, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +42, Private, 341204, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 8614, 0, 40, United-States, >50K +27, State-gov, 249362, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3411, 0, 40, United-States, <=50K +42, Private, 247019, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +20, ?, 114746, 11th, 7, Married-spouse-absent, ?, Own-child, Asian-Pac-Islander, Female, 0, 1762, 40, South, <=50K +24, Private, 172146, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1721, 40, United-States, <=50K +48, Federal-gov, 110457, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, ?, 80077, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +17, Self-emp-not-inc, 368700, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K +33, Private, 182556, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Self-emp-inc, 219420, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 240817, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 2597, 0, 40, United-States, <=50K +17, Private, 102726, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +32, Private, 226267, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K +31, Private, 125457, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +58, Self-emp-not-inc, 204021, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Local-gov, 92262, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K +37, Private, 161141, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, >50K +34, Self-emp-not-inc, 190290, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Local-gov, 430828, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +18, State-gov, 59342, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 5, United-States, <=50K +34, Private, 136721, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, ?, 149422, 7th-8th, 4, Never-married, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K +45, Local-gov, 86644, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, <=50K +41, Private, 195124, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, Dominican-Republic, <=50K +26, Private, 167350, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +54, Local-gov, 113000, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 140027, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 45, United-States, <=50K +42, Private, 262425, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 316702, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +23, State-gov, 335453, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +25, ?, 202480, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 203628, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +31, Private, 118710, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, United-States, >50K +30, Private, 189620, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, Poland, <=50K +19, Private, 475028, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +36, Local-gov, 110866, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 243605, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 1380, 40, Cuba, <=50K +21, Private, 163870, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +31, Self-emp-not-inc, 80145, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 295566, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 25236, 0, 65, United-States, >50K +44, Private, 63042, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, >50K +40, Private, 229148, 12th, 8, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K +45, Private, 242552, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +60, Private, 177665, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +18, Private, 208103, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +28, Private, 296450, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 70282, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 271767, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +40, Private, 144995, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 4386, 0, 40, United-States, <=50K +36, Local-gov, 382635, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Honduras, <=50K +31, Private, 295697, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 194141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, State-gov, 378418, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 214399, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +34, Private, 217460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Private, 182556, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 125831, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 60, United-States, <=50K +29, Private, 271328, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +50, Local-gov, 50459, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +42, Private, 162140, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K +43, Private, 177937, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, >50K +44, Private, 111502, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 299047, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +31, Private, 223212, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +65, Self-emp-not-inc, 118474, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 59, ?, >50K +23, Private, 352139, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +55, Private, 173093, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +26, Private, 181655, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2377, 45, United-States, <=50K +25, Private, 332702, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +45, ?, 51164, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 234901, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K +36, Private, 131414, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K +43, State-gov, 260960, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +56, Private, 156052, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 594, 0, 20, United-States, <=50K +42, Private, 279914, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 192453, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +55, Self-emp-not-inc, 200939, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, <=50K +42, Private, 151408, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K +26, Private, 112847, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 316929, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +42, Local-gov, 126319, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +55, Private, 197422, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 40, United-States, >50K +32, Private, 267736, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 267034, 11th, 7, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, Haiti, <=50K +46, State-gov, 193047, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, <=50K +29, State-gov, 356089, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +22, Private, 223515, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +58, Self-emp-not-inc, 87510, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 145111, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 48093, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 31757, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 38, United-States, <=50K +54, Private, 285854, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Local-gov, 120064, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +46, Federal-gov, 167381, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +37, Private, 103408, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 101460, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K +59, Local-gov, 420537, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, >50K +34, Local-gov, 119411, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 40, Portugal, <=50K +53, Self-emp-inc, 128272, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +51, Private, 386773, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +32, Private, 283268, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +31, State-gov, 301526, Some-college, 10, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 151790, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, Germany, <=50K +47, Self-emp-not-inc, 106252, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +32, Private, 188557, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 171114, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +37, Private, 327323, 5th-6th, 3, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 32, Guatemala, <=50K +31, Private, 244147, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +37, Private, 280282, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 24, United-States, >50K +55, Private, 116442, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +23, Local-gov, 282579, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +36, Private, 51838, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 73585, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K +43, Private, 226902, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +54, Private, 279129, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 146908, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +28, Private, 196690, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 1669, 42, United-States, <=50K +40, Private, 130760, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Self-emp-not-inc, 49572, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 237601, Bachelors, 13, Never-married, Sales, Not-in-family, Other, Female, 0, 0, 55, United-States, >50K +42, Private, 169628, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +61, Self-emp-not-inc, 36671, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2352, 50, United-States, <=50K +18, Private, 231193, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K +59, ?, 192130, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K +21, ?, 149704, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 1055, 0, 40, United-States, <=50K +48, Private, 102102, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Self-emp-inc, 32185, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 196061, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 33, United-States, <=50K +23, Private, 211046, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 2463, 0, 40, United-States, <=50K +60, Private, 31577, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +22, Private, 162343, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K +61, Private, 128831, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 316688, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +46, Private, 90758, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, >50K +43, Private, 274363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, England, >50K +43, Private, 154538, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 106085, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 1721, 30, United-States, <=50K +68, Self-emp-not-inc, 315859, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 51471, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +17, Private, 193830, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 231043, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 48, United-States, >50K +50, ?, 23780, Masters, 14, Married-spouse-absent, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 169879, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 47, United-States, >50K +64, Private, 270333, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 138768, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K +30, Private, 191571, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 36, United-States, <=50K +22, ?, 219941, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 94113, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 137510, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 32607, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +47, Self-emp-not-inc, 93208, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 75, Italy, <=50K +41, Private, 254440, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +56, Private, 186556, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +64, Private, 169871, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 191277, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +48, Private, 167159, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 171871, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K +29, Private, 154411, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 129227, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 110331, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 60, United-States, <=50K +57, Private, 34269, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 653, 42, United-States, >50K +62, Private, 174355, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 680390, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +43, Private, 233130, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +24, Self-emp-inc, 165474, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, ?, 257780, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K +53, Private, 194259, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4386, 0, 40, United-States, >50K +26, Private, 280093, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +73, Self-emp-not-inc, 177387, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +72, ?, 28929, 11th, 7, Widowed, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +55, Private, 105304, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 499233, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 180572, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +24, Private, 321435, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +63, Private, 86108, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K +17, Private, 198124, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +35, Private, 135162, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 146813, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Local-gov, 291175, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +55, Private, 387569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K +43, Private, 102895, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Local-gov, 33274, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +37, Private, 86551, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Private, 138192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 118966, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 18, United-States, <=50K +61, Private, 99784, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +26, Private, 90980, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +46, Self-emp-not-inc, 177407, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 96467, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, State-gov, 327886, Doctorate, 16, Divorced, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, >50K +34, Private, 111567, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 166545, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 142182, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 188798, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 38563, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 56, United-States, >50K +18, Private, 216284, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +43, Private, 191547, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +48, Private, 285335, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Self-emp-inc, 142712, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +33, Private, 80945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 309055, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +21, Private, 62339, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 368700, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 28, United-States, <=50K +39, Private, 176186, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Self-emp-not-inc, 266855, Bachelors, 13, Separated, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 48087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 121313, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K +71, Self-emp-not-inc, 143437, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 10605, 0, 40, United-States, >50K +51, Self-emp-not-inc, 160724, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 2415, 40, China, >50K +55, Private, 282753, 5th-6th, 3, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 25, United-States, <=50K +41, Private, 194636, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 153044, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 7, United-States, <=50K +38, Private, 411797, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 117683, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 376540, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 72393, 9th, 5, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 270335, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Philippines, >50K +27, Private, 96226, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +38, Private, 95336, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 258498, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 60, United-States, <=50K +63, ?, 149698, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K +23, Private, 205865, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 28, United-States, <=50K +33, Self-emp-inc, 155781, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, ?, <=50K +54, Self-emp-not-inc, 406468, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 177119, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 2174, 0, 45, United-States, <=50K +48, ?, 144397, Some-college, 10, Divorced, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +35, Self-emp-not-inc, 372525, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 164170, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K +37, Private, 183800, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +42, Self-emp-not-inc, 177307, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, >50K +40, Private, 170108, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 341995, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K +22, Private, 226508, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, <=50K +30, Private, 87418, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 109165, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Local-gov, 28856, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, United-States, <=50K +51, Self-emp-not-inc, 175897, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +22, Private, 99697, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, ?, 90270, Assoc-acdm, 12, Married-civ-spouse, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +35, Private, 152375, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 171550, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +37, Private, 211154, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +24, Private, 202570, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 15, United-States, <=50K +37, Self-emp-not-inc, 168496, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K +53, Private, 68898, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 93235, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +38, Private, 278924, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +53, Self-emp-not-inc, 311020, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 175878, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 543028, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 202027, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K +43, Private, 158926, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K +67, Self-emp-inc, 76860, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +81, Self-emp-not-inc, 136063, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K +21, Private, 186648, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +23, Private, 257509, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +25, Private, 98155, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 274198, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 38, Mexico, <=50K +38, Private, 97083, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +64, ?, 29825, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K +32, Private, 262153, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 214738, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 138022, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +22, Private, 91842, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +33, Private, 373662, 1st-4th, 2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K +42, Private, 162003, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +19, ?, 52114, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K +51, Local-gov, 241843, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 375871, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K +37, Private, 186934, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 44, United-States, >50K +37, Private, 176900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, >50K +47, Private, 21906, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +41, Private, 132222, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 40, United-States, >50K +33, Private, 143653, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +31, Private, 111567, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +31, Private, 78602, Assoc-acdm, 12, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +35, Private, 465507, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-inc, 196373, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 293227, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +20, Private, 241752, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Local-gov, 166398, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +40, Private, 184682, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-inc, 108293, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 45, United-States, >50K +43, Private, 250802, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +44, Self-emp-not-inc, 325159, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +44, State-gov, 174675, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +43, Private, 227065, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K +51, Private, 269080, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 177722, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +51, Private, 133461, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 239683, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, ?, <=50K +44, Self-emp-inc, 398473, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +33, Local-gov, 298785, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 123424, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 176286, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 150062, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 169240, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +32, Private, 288273, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, Mexico, <=50K +36, Private, 526968, 10th, 6, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 57066, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 323573, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +35, Self-emp-inc, 368825, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +55, Self-emp-not-inc, 189721, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +48, Private, 164966, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +36, ?, 94954, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +34, Private, 202046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K +28, Private, 161538, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +67, Private, 105252, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 2392, 40, United-States, >50K +37, Private, 200153, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 32185, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 70, United-States, <=50K +25, Private, 178326, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 255957, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K +40, State-gov, 188693, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +78, Private, 182977, HS-grad, 9, Widowed, Other-service, Not-in-family, Black, Female, 2964, 0, 40, United-States, <=50K +34, Private, 159929, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 123207, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +22, Private, 284317, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, ?, 184699, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 154474, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 42, United-States, <=50K +45, Local-gov, 318280, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +63, Private, 254907, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 349221, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +47, Private, 335973, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 126701, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 122159, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K +46, Private, 187370, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K +41, Private, 194636, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 124793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 192835, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +35, Private, 290226, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +56, Private, 112840, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +45, Private, 89325, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +48, Federal-gov, 33109, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 58, United-States, >50K +40, Private, 82465, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K +39, Self-emp-inc, 329980, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +20, Private, 148294, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 168212, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 65, United-States, >50K +38, State-gov, 343642, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +23, Local-gov, 115244, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K +31, Private, 162572, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +58, Private, 356067, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 271567, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-inc, 180804, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Self-emp-not-inc, 123011, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 52, United-States, >50K +26, Private, 109186, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, <=50K +51, Private, 220537, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 124827, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 767403, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K +42, Private, 118494, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K +38, Private, 173208, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K +48, Private, 107373, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 26973, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +51, Private, 191965, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +22, Private, 122346, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 117201, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +41, Private, 198316, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, Japan, <=50K +48, Local-gov, 123075, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +42, Private, 209370, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +34, Private, 33117, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 129042, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +56, Private, 169133, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Yugoslavia, <=50K +30, Private, 201624, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 45, ?, <=50K +45, Private, 368561, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +48, Private, 207848, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 138370, Masters, 14, Married-spouse-absent, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K +31, Private, 93106, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, State-gov, 223515, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 1719, 20, United-States, <=50K +27, Private, 389713, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 206365, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +76, ?, 431192, 7th-8th, 4, Widowed, ?, Not-in-family, White, Male, 0, 0, 2, United-States, <=50K +19, ?, 241616, HS-grad, 9, Never-married, ?, Unmarried, White, Male, 0, 2001, 40, United-States, <=50K +66, Self-emp-inc, 150726, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 1409, 0, 1, ?, <=50K +37, Private, 123785, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K +34, Private, 289984, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +34, ?, 164309, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, <=50K +90, Private, 137018, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 137994, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 341204, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 167005, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K +24, Private, 34446, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +28, Private, 187160, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +64, ?, 196288, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 217961, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 74631, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +36, Private, 156667, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K +61, Private, 125155, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Self-emp-not-inc, 263925, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Canada, >50K +30, Private, 296453, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +52, Self-emp-not-inc, 44728, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +38, Private, 193026, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Iran, <=50K +32, Private, 87643, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 106742, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K +41, Private, 302122, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Local-gov, 193960, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +45, Private, 185385, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, >50K +43, Self-emp-not-inc, 277647, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +61, Private, 128848, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3471, 0, 40, United-States, <=50K +54, Private, 377701, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, Mexico, <=50K +34, Private, 157886, Assoc-acdm, 12, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 175958, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K +38, Private, 223004, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 199352, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 80, United-States, >50K +36, Private, 29984, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 181651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 117312, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +22, Local-gov, 34029, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +38, Private, 132879, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +37, Private, 215310, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +48, State-gov, 55863, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 46, United-States, >50K +17, Private, 220384, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K +19, Self-emp-not-inc, 36012, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 137645, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 1590, 40, United-States, <=50K +22, Private, 191342, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, <=50K +49, Private, 31339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 227910, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +43, Private, 173728, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Local-gov, 167816, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +58, Self-emp-not-inc, 81642, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +41, Local-gov, 195258, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 232475, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 241259, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 118161, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 201954, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +42, Private, 150533, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 52, United-States, >50K +38, Private, 412296, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 28, United-States, <=50K +41, Federal-gov, 133060, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Self-emp-not-inc, 120539, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +31, Private, 196025, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, China, <=50K +34, Private, 107793, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 163870, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Self-emp-not-inc, 361280, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K +62, Private, 92178, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 80710, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Self-emp-inc, 260729, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 1977, 25, United-States, >50K +43, Private, 182254, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +68, ?, 140282, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +45, Self-emp-inc, 149865, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K +39, Self-emp-inc, 218184, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1651, 40, Mexico, <=50K +41, Private, 118619, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K +34, Self-emp-not-inc, 196791, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 25, United-States, >50K +34, Local-gov, 167999, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 33, United-States, <=50K +31, Private, 51259, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K +29, Private, 131088, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +41, Private, 118212, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K +41, Private, 293791, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +35, Self-emp-inc, 289430, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Mexico, >50K +33, Private, 35378, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, >50K +37, State-gov, 60227, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +69, Private, 168139, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 290763, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +60, Self-emp-inc, 226355, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2415, 70, ?, >50K +36, Private, 51100, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 227644, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +58, Local-gov, 205267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +53, Private, 288020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K +29, Private, 140863, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Federal-gov, 170915, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K +34, State-gov, 50178, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K +36, Private, 112497, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 95244, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +20, Private, 117606, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 89508, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +63, Federal-gov, 124244, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 154374, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +28, Private, 294936, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 347132, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +34, ?, 181934, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 316672, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +37, Private, 189382, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K +42, ?, 184018, Some-college, 10, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 184307, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Jamaica, >50K +46, Self-emp-not-inc, 246212, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +35, Federal-gov, 250504, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 60, United-States, >50K +27, Private, 138705, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 53, United-States, <=50K +41, Private, 328447, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K +19, Private, 194608, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +20, Private, 230891, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +59, Federal-gov, 212448, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, Germany, <=50K +40, Private, 214010, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +56, Self-emp-not-inc, 200235, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 354573, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 44, United-States, >50K +30, Self-emp-inc, 205733, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +46, Private, 185041, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +61, Self-emp-inc, 84409, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +50, Self-emp-inc, 293196, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +25, Private, 241626, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +40, Private, 520586, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 39, United-States, <=50K +24, ?, 35633, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +51, Private, 302847, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, United-States, <=50K +43, State-gov, 165309, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 117529, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, Mexico, <=50K +46, Private, 106092, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +28, State-gov, 445824, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +26, Private, 227332, Bachelors, 13, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +20, Private, 275691, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K +44, Private, 193459, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K +51, Private, 284329, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 114691, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +54, Private, 96062, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 133963, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 40, United-States, >50K +33, Private, 178506, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +65, Private, 350498, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 10605, 0, 20, United-States, >50K +22, ?, 131573, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K +88, Self-emp-not-inc, 206291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 182302, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 241346, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +50, Private, 157043, 11th, 7, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 404616, Masters, 14, Married-civ-spouse, Farming-fishing, Not-in-family, White, Male, 0, 0, 99, United-States, >50K +20, Private, 411862, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 183013, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, ?, 169982, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 188544, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +50, State-gov, 356619, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K +47, Private, 45857, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Local-gov, 289886, 11th, 7, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, <=50K +50, ?, 146015, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 216237, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +36, Private, 416745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 202952, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 167725, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, ?, 165637, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Federal-gov, 43280, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +65, Private, 118779, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +24, State-gov, 191269, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +27, Local-gov, 247507, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K +51, Private, 239155, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 182862, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 33886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 444304, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 187161, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +49, Local-gov, 116892, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 176813, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +59, Private, 151616, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +18, Private, 240747, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K +50, Private, 75472, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, ?, <=50K +45, Federal-gov, 320818, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 80, United-States, >50K +30, Local-gov, 235271, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 166497, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +44, Private, 344060, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +33, Private, 221196, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-inc, 113544, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +61, Local-gov, 321117, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 79619, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K +22, ?, 42004, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +36, Private, 135289, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +44, Self-emp-inc, 320984, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 60, United-States, >50K +37, Private, 203070, Some-college, 10, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 62, United-States, <=50K +31, Private, 32406, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +54, Private, 99185, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K +20, Private, 205839, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +63, ?, 150389, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +48, Self-emp-not-inc, 243631, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 7688, 0, 40, United-States, >50K +33, ?, 163003, HS-grad, 9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 41, China, <=50K +31, Private, 231263, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 4650, 0, 45, United-States, <=50K +38, Private, 200818, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Self-emp-not-inc, 247379, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 349151, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 22154, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 176317, HS-grad, 9, Widowed, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 22245, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, ?, >50K +29, Private, 236436, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 354078, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +42, Self-emp-not-inc, 166813, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +50, Private, 358740, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, England, <=50K +75, Self-emp-not-inc, 208426, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +46, Private, 265266, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +52, Federal-gov, 31838, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 175034, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 413297, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 106347, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 42, United-States, <=50K +23, Private, 174754, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +34, Private, 441454, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +41, Self-emp-not-inc, 209344, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 40, Cuba, <=50K +31, Private, 185732, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +42, Private, 65372, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 33975, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +55, Private, 326297, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +36, State-gov, 194630, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Self-emp-not-inc, 167414, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 59, United-States, >50K +38, Local-gov, 165799, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K +62, Private, 192866, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +54, Self-emp-inc, 166459, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K +49, Private, 148995, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 190040, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 209432, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Self-emp-inc, 229465, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +48, Self-emp-not-inc, 397466, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 283767, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K +52, Federal-gov, 202452, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +28, Self-emp-not-inc, 218555, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1762, 40, United-States, <=50K +29, Private, 128604, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +38, Private, 65466, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +57, Private, 141326, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +43, Federal-gov, 369468, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, State-gov, 136137, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 236770, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 89534, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K +69, ?, 195779, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K +73, Private, 29778, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +22, Self-emp-inc, 153516, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +31, Private, 163594, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +38, Private, 189623, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +50, Self-emp-not-inc, 343748, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +37, Private, 387430, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 37, United-States, <=50K +44, Local-gov, 409505, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 200734, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K +27, Private, 115831, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 150296, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K +25, Private, 323545, HS-grad, 9, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 232577, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 152754, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 129007, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K +67, Private, 171584, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 6514, 0, 7, United-States, >50K +47, Private, 386136, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +42, Private, 342865, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 186785, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K +42, Federal-gov, 158926, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K +65, ?, 36039, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 164019, Some-college, 10, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 10, United-States, <=50K +50, Private, 88926, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 5178, 0, 40, United-States, >50K +46, Private, 188861, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 370119, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +57, Private, 182062, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 37238, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +50, Private, 421132, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, ?, 178660, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Self-emp-not-inc, 795830, 1st-4th, 2, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, El-Salvador, <=50K +39, Private, 278403, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +46, Private, 279661, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, <=50K +36, Private, 113397, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 280093, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 50, United-States, <=50K +21, Private, 236696, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 57, United-States, <=50K +41, Private, 265266, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Local-gov, 34935, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 58222, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Federal-gov, 301010, Some-college, 10, Never-married, Armed-Forces, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K +29, Private, 419721, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Japan, <=50K +58, Self-emp-inc, 186791, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Self-emp-not-inc, 180686, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 209103, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +37, Private, 32668, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, >50K +29, Private, 256956, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 202203, 5th-6th, 3, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +43, Private, 85995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +49, Private, 125421, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K +45, Federal-gov, 283037, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 192932, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 244689, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +51, Private, 179646, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 509350, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, Canada, >50K +24, Private, 96279, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 119098, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +35, ?, 327120, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +41, State-gov, 144928, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 55237, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +61, Local-gov, 101265, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 1471, 0, 35, United-States, <=50K +20, Private, 114874, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 190525, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +55, Private, 121912, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 24, United-States, >50K +39, Private, 83893, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +17, ?, 138507, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +47, Private, 256522, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, <=50K +52, Private, 168381, HS-grad, 9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, >50K +24, Private, 293579, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +29, Private, 285290, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 188488, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 324469, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 275244, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +57, Private, 265099, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +51, Private, 146767, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 40681, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 3674, 0, 16, United-States, <=50K +39, Private, 174938, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 240124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +71, Private, 269708, Bachelors, 13, Divorced, Tech-support, Own-child, White, Female, 2329, 0, 16, United-States, <=50K +38, State-gov, 34180, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, State-gov, 225904, Prof-school, 15, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 89392, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 46857, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, State-gov, 105363, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 195105, HS-grad, 9, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K +35, Private, 184117, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +61, Self-emp-inc, 134768, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K +17, ?, 145886, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 153078, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, ?, >50K +62, ?, 225652, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 50, United-States, <=50K +34, Private, 467108, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +32, Self-emp-inc, 199765, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K +42, Private, 173938, HS-grad, 9, Separated, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 191161, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 132606, 5th-6th, 3, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 30073, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1848, 60, United-States, >50K +40, Private, 155190, 10th, 6, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 55, United-States, <=50K +31, Private, 42900, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +36, Private, 191161, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 181820, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 105974, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K +52, Private, 146378, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 103440, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +51, Private, 203435, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, Italy, <=50K +31, Federal-gov, 168312, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 257764, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 171301, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K +53, Federal-gov, 225339, Some-college, 10, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 152234, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, Japan, >50K +20, Private, 444554, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 403788, Assoc-acdm, 12, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +61, ?, 190997, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K +43, Private, 221550, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, Poland, <=50K +46, Self-emp-inc, 98929, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K +43, Local-gov, 169203, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +41, Private, 102332, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 230684, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +54, Private, 449257, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 198766, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K +32, Private, 97429, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Canada, <=50K +25, Private, 208999, Some-college, 10, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 37072, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +25, Local-gov, 163101, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 119075, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +37, Self-emp-not-inc, 137314, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 127303, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 349116, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 44, United-States, <=50K +40, Self-emp-not-inc, 266324, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Male, 0, 1564, 70, Iran, >50K +19, ?, 194095, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 46496, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 5, United-States, <=50K +27, Private, 29904, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Local-gov, 289403, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1887, 40, ?, >50K +59, Private, 226922, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 1762, 30, United-States, <=50K +19, Federal-gov, 234151, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 238287, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +42, Private, 230624, 10th, 6, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, >50K +54, Private, 398212, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 5013, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 114758, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 246519, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2105, 0, 45, United-States, <=50K +50, Private, 137815, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +40, Private, 260696, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 325007, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, United-States, <=50K +50, Private, 113176, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 66815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +42, ?, 51795, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +24, Private, 241523, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K +30, Private, 30226, 11th, 7, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 352628, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 50, United-States, >50K +37, Private, 143912, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 130021, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 329778, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 196945, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 78, Thailand, <=50K +39, Private, 24342, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 34368, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +52, Self-emp-not-inc, 173839, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, State-gov, 73211, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K +32, Private, 86723, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +31, Private, 179186, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 90, United-States, >50K +31, Private, 127610, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +47, Private, 115070, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, ?, 172582, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 256202, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 202872, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K +41, Private, 184102, 11th, 7, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Federal-gov, 130703, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +46, Private, 134727, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 43, Germany, <=50K +45, Self-emp-inc, 36228, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4386, 0, 35, United-States, >50K +39, Private, 297847, 9th, 5, Married-civ-spouse, Other-service, Wife, Black, Female, 3411, 0, 34, United-States, <=50K +19, Private, 213644, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 173796, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K +49, Private, 147322, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Peru, <=50K +59, Private, 296253, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 180871, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +18, ?, 169882, Some-college, 10, Never-married, ?, Own-child, White, Female, 594, 0, 15, United-States, <=50K +35, State-gov, 211115, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 183870, 10th, 6, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 441620, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 43, Mexico, <=50K +36, Federal-gov, 218542, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 141327, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +47, Private, 67716, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Self-emp-inc, 175339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 60, United-States, <=50K +61, ?, 347089, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K +36, Private, 336595, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Private, 27997, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 145574, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1902, 60, United-States, >50K +50, Private, 30447, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +45, Self-emp-not-inc, 256866, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 120837, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 66, United-States, <=50K +51, Private, 185283, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +44, Self-emp-inc, 229466, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 298225, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 185749, 11th, 7, Widowed, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +17, ?, 333100, 10th, 6, Never-married, ?, Own-child, White, Male, 1055, 0, 30, United-States, <=50K +49, Self-emp-inc, 125892, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +46, Private, 563883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K +56, Private, 311249, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +25, Private, 221757, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K +22, Private, 310152, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +76, ?, 211453, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 2, United-States, <=50K +41, Self-emp-inc, 94113, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +48, Self-emp-inc, 192945, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +46, Private, 161508, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 177675, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +39, Private, 51100, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 100584, 10th, 6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +70, Federal-gov, 163003, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 67728, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 45, United-States, <=50K +49, Private, 101320, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K +24, Private, 42706, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 228535, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 36, United-States, >50K +61, Private, 120939, Prof-school, 15, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 5, United-States, >50K +25, Private, 98283, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 216481, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +69, State-gov, 208869, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 11, United-States, <=50K +22, Private, 207940, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 36, United-States, <=50K +47, Private, 34248, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K +38, Private, 83727, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +26, Private, 183077, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 197850, 11th, 7, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 24, United-States, <=50K +33, Self-emp-not-inc, 235271, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +43, Self-emp-not-inc, 35236, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 255822, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Self-emp-inc, 263925, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K +26, Private, 256263, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +43, Local-gov, 293535, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +31, Private, 209448, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2105, 0, 40, Mexico, <=50K +30, Private, 57651, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 2001, 42, United-States, <=50K +25, Private, 174592, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +57, Federal-gov, 278763, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 175232, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K +32, Private, 402812, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +26, Private, 101150, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K +45, Private, 103538, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +53, State-gov, 156877, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 35, United-States, >50K +27, Private, 23940, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-inc, 210295, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +32, Private, 80058, 11th, 7, Divorced, Sales, Not-in-family, White, Male, 0, 0, 43, United-States, >50K +35, Private, 187119, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 1980, 65, United-States, <=50K +36, Self-emp-not-inc, 105021, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +19, Private, 225775, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-inc, 395831, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K +49, Private, 50282, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K +20, Private, 32732, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +64, Self-emp-inc, 179436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +60, ?, 290593, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 123253, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K +58, State-gov, 48433, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 245317, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 431745, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 14, United-States, <=50K +42, State-gov, 436006, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 224943, Some-college, 10, Married-spouse-absent, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 167990, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 65, United-States, >50K +37, Self-emp-inc, 217054, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +66, Self-emp-not-inc, 298834, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +59, Self-emp-inc, 125000, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K +44, Private, 123983, Bachelors, 13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +46, Private, 155489, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 58, United-States, >50K +59, Private, 284834, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 2885, 0, 30, United-States, <=50K +25, Private, 212495, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 1340, 40, United-States, <=50K +17, Local-gov, 32124, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 9, United-States, <=50K +47, Local-gov, 246891, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, State-gov, 141483, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 31985, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 170800, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Local-gov, 166295, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2339, 55, United-States, <=50K +20, Private, 231286, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K +33, Private, 159322, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 176026, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 118025, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +37, Private, 26898, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 12, United-States, <=50K +47, Private, 232628, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 85995, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 125421, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K +49, Private, 245305, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 42, United-States, >50K +50, Private, 73493, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 197058, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 122116, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 75742, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 214731, 10th, 6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 265954, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +26, State-gov, 197156, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +62, Private, 162245, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1628, 70, United-States, <=50K +39, Local-gov, 203070, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Local-gov, 165695, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +69, ?, 473040, 5th-6th, 3, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 168107, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 163494, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +38, Private, 180342, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 122381, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 50, United-States, >50K +27, Private, 148069, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 200973, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 130806, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K +56, Private, 117148, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 213977, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +62, Private, 134768, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, ?, >50K +44, Private, 139338, 12th, 8, Divorced, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 315877, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +41, Self-emp-not-inc, 195124, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, ?, <=50K +25, Private, 352057, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +21, Private, 236684, Some-college, 10, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 8, United-States, <=50K +18, Private, 208447, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 6, United-States, <=50K +45, Private, 149640, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +75, ?, 111177, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 25124, 0, 16, United-States, >50K +51, Private, 154342, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Federal-gov, 141459, HS-grad, 9, Separated, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 111797, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, Outlying-US(Guam-USVI-etc), <=50K +29, Private, 111900, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 78707, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 160574, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 174714, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K +19, ?, 62534, Bachelors, 13, Never-married, ?, Own-child, Black, Female, 0, 0, 40, Jamaica, <=50K +44, Private, 216907, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K +24, Private, 198148, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 124265, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, ?, 261059, 10th, 6, Separated, ?, Own-child, White, Male, 2176, 0, 40, United-States, <=50K +52, Private, 208137, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 257250, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +24, State-gov, 147253, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Local-gov, 244268, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +72, ?, 213255, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +26, Private, 266912, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 169104, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +29, Private, 200511, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 128715, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K +48, Self-emp-not-inc, 65535, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 103395, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +51, Private, 71046, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, Scotland, <=50K +28, Self-emp-not-inc, 125442, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 169188, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 121471, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 207281, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 16, United-States, <=50K +26, Local-gov, 46097, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 206671, Some-college, 10, Never-married, ?, Own-child, White, Male, 1055, 0, 50, United-States, <=50K +55, Private, 98361, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, ?, >50K +38, Self-emp-not-inc, 322143, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 10, United-States, <=50K +33, Private, 149184, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +33, Local-gov, 119829, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K +37, Private, 910398, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 176570, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 216129, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 27207, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +57, State-gov, 68830, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +22, State-gov, 178818, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +57, Private, 236944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K +46, State-gov, 273771, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 318533, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K +35, ?, 451940, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 102318, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 379350, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 21095, Some-college, 10, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +58, Self-emp-not-inc, 211547, 12th, 8, Divorced, Sales, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K +36, Private, 85272, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K +45, Private, 46406, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, England, >50K +54, Private, 53833, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 161007, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +60, Private, 53707, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 370119, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K +26, Private, 310907, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, <=50K +32, Private, 375833, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 107513, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 58683, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +44, Self-emp-not-inc, 179557, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K +37, Private, 70240, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +44, Private, 147206, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 175548, HS-grad, 9, Never-married, Other-service, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K +61, Self-emp-not-inc, 163174, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +51, Private, 126010, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 147876, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 60, United-States, >50K +45, Private, 428350, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 1740, 40, United-States, <=50K +36, ?, 200904, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 21, Haiti, <=50K +39, Private, 328466, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 2407, 0, 70, Mexico, <=50K +67, Local-gov, 258973, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +40, State-gov, 345969, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 127796, 5th-6th, 3, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K +37, Private, 405723, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +57, Private, 175942, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 284196, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 89718, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 2202, 0, 48, United-States, <=50K +34, Self-emp-inc, 175761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +54, Private, 206369, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 50, United-States, >50K +52, Private, 158993, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 38, United-States, <=50K +42, Private, 285066, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +48, Private, 126754, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +65, State-gov, 209280, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 6514, 0, 35, United-States, >50K +55, Self-emp-not-inc, 52888, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 10, United-States, <=50K +71, Self-emp-inc, 133821, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +33, Private, 240763, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 39054, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 119272, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +59, Private, 143372, 10th, 6, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 323421, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +36, Self-emp-not-inc, 136028, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +26, Self-emp-not-inc, 163189, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 202729, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 421871, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +44, Private, 120277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, Italy, >50K +26, ?, 211798, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 198901, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +18, Private, 214617, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 16, United-States, <=50K +55, Self-emp-not-inc, 179715, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 18, United-States, <=50K +49, Local-gov, 107231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 40, United-States, <=50K +44, Private, 110355, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 184378, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 273454, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Cuba, <=50K +44, Private, 443040, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +39, ?, 71701, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-inc, 160151, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 107991, 11th, 7, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +52, Private, 94391, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 99835, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +44, Private, 43711, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +43, Private, 83756, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 120914, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2961, 0, 40, United-States, <=50K +20, Private, 180052, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +47, Private, 170846, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Italy, >50K +43, Private, 37937, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +64, ?, 168340, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, >50K +24, Private, 38455, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Federal-gov, 128059, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 420895, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 166744, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 12, United-States, <=50K +26, Private, 238768, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K +43, Private, 176270, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 60, United-States, >50K +50, Private, 140592, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +20, Self-emp-not-inc, 211466, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 80, United-States, <=50K +37, Private, 188540, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K +43, Private, 39581, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K +37, Private, 171150, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K +53, Private, 117496, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 36, Canada, <=50K +44, Private, 145160, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 28520, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 103851, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 1055, 0, 20, United-States, <=50K +19, Private, 375077, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K +53, State-gov, 281590, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K +44, Private, 151504, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 415287, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1902, 40, United-States, >50K +49, Private, 32212, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 43, United-States, <=50K +35, Private, 123606, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 202565, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +54, Private, 177927, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 256723, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +18, Private, 46247, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +24, Private, 266926, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 112031, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +22, ?, 376277, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +35, Private, 168817, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 187487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +32, ?, 158784, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 67222, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, China, <=50K +43, Private, 201723, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K +73, Private, 267408, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 15, United-States, <=50K +47, Federal-gov, 168191, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +49, Private, 105444, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 39, United-States, <=50K +38, Private, 156728, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 148600, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 19914, Some-college, 10, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +42, Private, 190767, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 233955, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K +35, Private, 30381, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +38, Private, 187069, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 367314, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 101119, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K +38, Private, 86551, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +40, Local-gov, 218995, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +21, Private, 57711, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +44, Private, 303521, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 199067, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 247445, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +49, Private, 186078, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +31, Private, 77634, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K +24, Private, 180060, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 6849, 0, 90, United-States, <=50K +46, Private, 56482, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 314177, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 239755, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +27, Private, 377680, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +64, Self-emp-not-inc, 134960, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 35, United-States, >50K +26, Private, 294493, Bachelors, 13, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 32616, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1719, 16, United-States, <=50K +45, Private, 182655, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, ?, >50K +57, Local-gov, 52267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, <=50K +30, Private, 117963, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 98881, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 32, United-States, <=50K +50, Private, 196963, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +38, Private, 166988, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 193459, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 182342, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +32, Private, 496743, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 154781, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 219371, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +45, Private, 99179, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 224910, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 304651, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 349689, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 106850, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Self-emp-not-inc, 196328, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K +25, Private, 169323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 162924, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K +40, Self-emp-not-inc, 34037, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +51, ?, 167651, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 197384, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +42, Private, 251795, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +65, ?, 266081, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 165309, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 215873, 10th, 6, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 45, United-States, <=50K +46, Private, 133938, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 27828, 0, 50, United-States, >50K +49, Private, 159816, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 20, United-States, >50K +24, Private, 228424, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 195576, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +71, Private, 105200, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 6767, 0, 20, United-States, <=50K +26, Private, 167350, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K +29, Private, 52199, HS-grad, 9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 171338, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +51, Private, 120173, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 50, United-States, >50K +17, ?, 158762, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +49, Private, 169818, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, >50K +31, Private, 288419, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 207546, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Local-gov, 147707, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Male, 0, 2339, 40, United-States, <=50K +17, ?, 228373, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +43, Private, 193882, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +38, Private, 31033, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K +37, Private, 272950, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 183523, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 238415, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 19302, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 2202, 0, 38, United-States, <=50K +42, Local-gov, 339671, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K +35, Local-gov, 103260, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K +39, Private, 79331, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, United-States, >50K +40, Private, 135056, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +66, Private, 142723, 5th-6th, 3, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K +30, Federal-gov, 188569, 9th, 5, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 57322, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 178309, 9th, 5, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +45, Private, 166107, Masters, 14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +31, Private, 53042, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Trinadad&Tobago, <=50K +33, Private, 155343, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K +32, Private, 35595, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 429507, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +50, Federal-gov, 159670, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +63, Private, 151210, 7th-8th, 4, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 186792, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 204640, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 87205, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +38, Self-emp-inc, 112847, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +41, Private, 107306, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K +50, State-gov, 211319, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +59, Private, 183606, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 205390, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 49, United-States, <=50K +73, Local-gov, 232871, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 2228, 0, 10, United-States, <=50K +52, Self-emp-inc, 101017, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, <=50K +57, Private, 114495, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +35, Private, 183898, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +51, Private, 163921, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, >50K +22, Private, 311764, 11th, 7, Widowed, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +49, Private, 188330, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 267174, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 36228, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, <=50K +48, Private, 199739, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 185407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +43, State-gov, 206139, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 282063, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +31, Private, 332379, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 418324, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 36, United-States, <=50K +19, ?, 263338, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K +51, Private, 158948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, >50K +51, Private, 221532, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K +22, Self-emp-not-inc, 202920, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 99999, 0, 40, Dominican-Republic, >50K +37, Local-gov, 118909, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +19, Private, 286469, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +45, Private, 191914, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +21, State-gov, 142766, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +52, Private, 198744, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Local-gov, 272780, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, <=50K +42, State-gov, 219553, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +56, Private, 261232, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 64292, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 312131, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +70, Private, 30713, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +30, Private, 246439, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 338105, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +23, Private, 228243, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +34, Local-gov, 62463, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 40, United-States, <=50K +38, Private, 31603, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 165054, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 121618, 7th-8th, 4, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +45, Federal-gov, 273194, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 3325, 0, 40, United-States, <=50K +21, ?, 163665, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 538319, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K +34, Private, 238246, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 244665, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 45, United-States, >50K +21, Private, 131811, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, ?, 231777, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +23, Private, 156807, 9th, 5, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 36, United-States, <=50K +28, Private, 236861, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +29, Self-emp-not-inc, 229842, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K +25, Local-gov, 190057, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, State-gov, 55076, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +18, Private, 152545, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K +26, Private, 153434, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K +47, Local-gov, 171095, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +23, Private, 239322, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 138999, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Local-gov, 95450, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 50, United-States, >50K +25, Private, 176520, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 72338, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 54, United-States, >50K +60, ?, 386261, Bachelors, 13, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K +23, Private, 235722, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +36, Federal-gov, 128884, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +46, Private, 187226, 9th, 5, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +32, Self-emp-not-inc, 298332, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +40, Private, 173607, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 226756, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +31, Private, 157887, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +32, State-gov, 171111, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +21, Private, 126314, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +63, Private, 174018, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K +44, Private, 144778, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +42, Self-emp-not-inc, 201522, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +23, ?, 22966, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K +30, Private, 399088, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +24, Private, 282202, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K +42, Private, 102606, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Self-emp-not-inc, 246862, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, Italy, >50K +27, Federal-gov, 508336, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K +27, Local-gov, 263431, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 235733, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +68, Private, 107910, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 184425, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, >50K +22, Self-emp-not-inc, 143062, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Greece, <=50K +25, Private, 199545, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 15, United-States, <=50K +68, Self-emp-not-inc, 197015, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +62, Private, 149617, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +26, Private, 33610, HS-grad, 9, Divorced, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 192002, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +68, Private, 67791, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 445382, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +45, Private, 112283, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +26, Private, 157249, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 109872, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 119838, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 149943, Some-college, 10, Never-married, Other-service, Not-in-family, Other, Male, 0, 1590, 40, ?, <=50K +65, Without-pay, 27012, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +31, Private, 91666, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 270276, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 179271, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Private, 161819, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Local-gov, 339681, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 45, United-States, <=50K +26, Self-emp-not-inc, 219897, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +26, Private, 91683, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +36, Private, 188834, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 187046, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 191807, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 48, United-States, <=50K +52, Self-emp-inc, 179951, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 324420, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Mexico, <=50K +41, Self-emp-not-inc, 66632, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 121718, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K +47, Private, 162034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K +28, Local-gov, 218990, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 46, United-States, <=50K +25, Local-gov, 125863, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K +35, Private, 225330, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 120426, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 119741, Masters, 14, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +44, Private, 32000, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K +21, ?, 124242, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 278581, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 230224, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +30, Private, 204374, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1741, 48, United-States, <=50K +45, Private, 188386, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1628, 45, United-States, <=50K +20, Private, 164922, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 195176, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +43, Private, 166740, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +50, ?, 156008, 11th, 7, Married-civ-spouse, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 162551, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 48, China, <=50K +25, Private, 211231, HS-grad, 9, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 48, United-States, >50K +25, Private, 169990, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +90, Private, 221832, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Local-gov, 255454, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 28160, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, State-gov, 159219, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Canada, >50K +26, Local-gov, 103148, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 165186, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +56, Private, 31782, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Local-gov, 249101, HS-grad, 9, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 243190, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K +18, Local-gov, 153405, 11th, 7, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +37, Private, 329980, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K +57, Private, 176079, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, State-gov, 218542, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +29, State-gov, 303446, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, Nicaragua, <=50K +40, Private, 102606, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Self-emp-not-inc, 483201, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +77, Local-gov, 144608, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 6, United-States, <=50K +30, Private, 226013, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 165475, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 263637, 10th, 6, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 201495, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K +68, Private, 213720, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 170483, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +26, Private, 214303, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +32, Private, 190511, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 242150, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K +51, Local-gov, 159755, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 147629, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K +49, Private, 268022, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 188711, Bachelors, 13, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +29, Private, 452205, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +21, Private, 260847, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 291374, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +55, Private, 189933, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 133969, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, South, >50K +35, Private, 330664, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, ?, 672412, 11th, 7, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 122999, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +30, Private, 111415, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, Germany, <=50K +33, Private, 217235, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K +40, Private, 121956, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 13550, 0, 40, Cambodia, >50K +23, Private, 120172, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 343403, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 104790, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Local-gov, 473547, 10th, 6, Divorced, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +53, Local-gov, 260106, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +49, Federal-gov, 168232, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 348491, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 24106, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K +60, Self-emp-inc, 197553, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +29, Private, 421065, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +54, Self-emp-inc, 138852, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +28, ?, 169631, Assoc-acdm, 12, Married-AF-spouse, ?, Wife, White, Female, 0, 0, 3, United-States, <=50K +34, Private, 379412, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 181992, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +19, Private, 365640, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, ?, <=50K +26, Private, 236564, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 363418, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +50, Private, 112351, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, <=50K +30, Private, 204704, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, >50K +44, Private, 54611, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 128132, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +75, Self-emp-not-inc, 30599, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +37, Private, 379522, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +51, State-gov, 196504, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 38, United-States, <=50K +35, Private, 82552, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +28, Private, 104024, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 293114, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1409, 0, 40, United-States, <=50K +72, Private, 74141, 9th, 5, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 48, United-States, >50K +39, Private, 192337, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 262478, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +57, Private, 185072, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K +24, Private, 296045, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 38, United-States, <=50K +28, Private, 246595, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 70, United-States, <=50K +23, Private, 54472, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +31, Private, 331065, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K +23, Private, 161708, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +31, Private, 264936, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Local-gov, 113545, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 212237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1740, 45, United-States, <=50K +31, Private, 170430, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, ?, <=50K +34, Private, 173806, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 4865, 0, 60, United-States, <=50K +57, Federal-gov, 370890, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2258, 40, United-States, <=50K +39, Private, 505119, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, >50K +23, Private, 193089, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Local-gov, 33432, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 103110, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, England, <=50K +32, Private, 160362, Some-college, 10, Divorced, Other-service, Other-relative, White, Male, 0, 0, 40, Nicaragua, <=50K +35, Private, 204621, Assoc-acdm, 12, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 35309, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 154373, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +47, Private, 194772, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 154410, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Federal-gov, 220563, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, State-gov, 253354, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 211699, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, >50K +63, Self-emp-not-inc, 167501, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 20051, 0, 10, United-States, >50K +34, Private, 229732, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 185465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 335764, 11th, 7, Married-civ-spouse, Sales, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +23, Private, 460046, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +19, ?, 33487, Some-college, 10, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +50, Private, 176924, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K +49, State-gov, 213307, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 83893, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 194102, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 238611, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +41, Private, 113597, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 16, United-States, <=50K +27, Self-emp-not-inc, 208406, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +53, Private, 274528, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +17, Self-emp-not-inc, 60116, 10th, 6, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K +23, ?, 196816, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +53, Private, 166368, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 303954, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 42, United-States, >50K +24, Private, 99386, Bachelors, 13, Married-spouse-absent, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 188569, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +53, Private, 302868, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +18, Private, 283342, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K +24, Private, 233777, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, Mexico, <=50K +20, Private, 170038, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Local-gov, 261319, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, State-gov, 367237, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +34, Private, 126838, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 354104, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 176321, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +47, Private, 85129, HS-grad, 9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +20, ?, 376474, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 32, United-States, <=50K +22, Private, 62507, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Local-gov, 111252, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +60, Private, 156889, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 549430, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +46, Private, 29696, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +66, Private, 98837, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 86150, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 30, United-States, >50K +34, Private, 204991, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 44, United-States, <=50K +45, Private, 371886, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K +35, Private, 103605, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, ?, 54851, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 133050, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +36, Local-gov, 126569, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Federal-gov, 144259, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +51, Private, 161482, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +25, Self-emp-not-inc, 305449, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 125010, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 304133, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +59, Local-gov, 120617, HS-grad, 9, Separated, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 157747, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 297396, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +42, Private, 121287, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +28, ?, 308493, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 17, Honduras, <=50K +37, Private, 49115, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +51, Self-emp-inc, 208302, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K +25, Private, 304032, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 36, United-States, <=50K +31, Federal-gov, 207301, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +37, Private, 123211, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, United-States, >50K +42, Private, 33521, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +29, ?, 410351, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 410034, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 175339, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 47, United-States, >50K +22, ?, 27937, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K +49, Private, 168211, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K +26, Private, 125680, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 16, Japan, <=50K +56, Local-gov, 160829, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K +52, Private, 266529, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +61, Self-emp-not-inc, 115023, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, ?, <=50K +47, State-gov, 224149, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +52, Private, 150930, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 343699, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 172826, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 55, United-States, >50K +35, Private, 163392, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +17, ?, 103810, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 213821, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K +26, Private, 211265, Some-college, 10, Married-spouse-absent, Craft-repair, Other-relative, Black, Female, 0, 0, 35, Dominican-Republic, <=50K +58, Local-gov, 160586, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 146454, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5556, 0, 40, United-States, >50K +30, Private, 203277, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K +46, Private, 309895, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 26522, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 35, United-States, >50K +57, Private, 103809, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 90291, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, State-gov, 181761, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K +37, Private, 35330, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1669, 55, United-States, <=50K +45, Local-gov, 135776, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +61, ?, 188172, Doctorate, 16, Widowed, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K +39, Private, 179579, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 193626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 53, United-States, <=50K +20, Private, 108887, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 199070, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 16, United-States, <=50K +25, Private, 441591, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 185254, 5th-6th, 3, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K +24, Private, 109307, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K +20, ?, 81853, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K +35, Private, 23621, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +44, Local-gov, 145178, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 38, Jamaica, >50K +47, State-gov, 30575, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, State-gov, 130620, 11th, 7, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K +41, Local-gov, 22155, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +31, Private, 106437, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 79787, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +47, Private, 326857, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +44, Private, 81853, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +61, Private, 120933, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Federal-gov, 153143, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Puerto-Rico, <=50K +46, Private, 27669, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +46, Private, 105444, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +54, Local-gov, 169785, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +49, Private, 122493, HS-grad, 9, Widowed, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +56, Local-gov, 242670, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 54933, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 209317, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +25, Self-emp-not-inc, 282631, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 98044, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 187487, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, State-gov, 60186, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 75648, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +28, Private, 201175, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 19302, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +21, ?, 300812, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 146659, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 35, United-States, >50K +75, Private, 101887, 10th, 6, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +66, ?, 117778, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 60726, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-inc, 201763, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +57, Self-emp-inc, 119253, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 65, United-States, >50K +47, Self-emp-not-inc, 121124, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, Italy, >50K +41, Private, 220132, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +21, Private, 60639, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +17, Private, 195262, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 17, United-States, <=50K +61, ?, 113544, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, <=50K +47, ?, 331650, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, >50K +22, Private, 100587, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 15, United-States, <=50K +47, Private, 298130, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 242391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Self-emp-not-inc, 197867, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +59, Private, 151977, 10th, 6, Separated, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +38, Private, 277347, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 125249, HS-grad, 9, Separated, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 222142, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 270194, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 169995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +27, Private, 359155, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +60, Private, 123992, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +64, Local-gov, 266080, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +37, Private, 201531, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Self-emp-not-inc, 179704, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +36, Private, 393673, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +34, Private, 244147, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +41, Self-emp-not-inc, 438696, Masters, 14, Divorced, Sales, Unmarried, White, Male, 0, 0, 5, United-States, >50K +35, Self-emp-not-inc, 207568, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K +63, Self-emp-inc, 54052, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K +46, Private, 187581, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 77102, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 353010, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +29, Private, 54131, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +74, Federal-gov, 39890, Some-college, 10, Widowed, Transport-moving, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K +50, Private, 156877, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K +22, Private, 355686, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 300168, 12th, 8, Separated, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 488720, 9th, 5, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +32, Private, 157287, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 184659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 214169, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 192149, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 137253, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +44, Private, 373050, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 90377, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6767, 0, 60, United-States, <=50K +28, Federal-gov, 183151, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K +55, Private, 227158, Bachelors, 13, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Local-gov, 34021, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K +31, Private, 165148, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 12, United-States, <=50K +47, Private, 211668, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, >50K +45, Private, 358886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 47707, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 306982, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, <=50K +49, Local-gov, 52590, HS-grad, 9, Widowed, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, ?, 179352, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +27, Private, 158156, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +42, Private, 70055, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, ?, 131852, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K +64, Self-emp-not-inc, 177825, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 1055, 0, 40, United-States, <=50K +33, Private, 127215, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K +23, Private, 175183, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 142287, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 221324, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 227602, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 37, Mexico, <=50K +22, Private, 228452, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +57, State-gov, 39380, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +20, ?, 96862, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K +23, Private, 336360, 7th-8th, 4, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +31, Private, 257644, 11th, 7, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +23, State-gov, 235853, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K +30, Private, 270577, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Local-gov, 222900, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +42, Private, 99254, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K +51, Private, 224763, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K +59, Self-emp-not-inc, 174056, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +36, Private, 127306, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 339506, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 178322, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, >50K +33, Private, 189843, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 160815, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 207665, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +37, State-gov, 160402, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +35, Private, 170263, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 184659, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 52, United-States, <=50K +38, Federal-gov, 338320, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +54, Private, 101017, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 204322, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 241350, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +63, Federal-gov, 217994, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 128143, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Self-emp-not-inc, 164065, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K +64, Local-gov, 78866, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 236769, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Federal-gov, 239539, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +39, Private, 34028, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +45, State-gov, 207847, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 175935, Doctorate, 16, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K +22, Federal-gov, 218445, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +63, Self-emp-inc, 215833, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 156976, Assoc-voc, 11, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 220647, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +20, Private, 218343, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +29, Private, 241431, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K +38, Local-gov, 123983, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 1741, 40, Vietnam, <=50K +25, Private, 73289, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 408623, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 169180, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 54929, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 306779, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 35, United-States, <=50K +43, Private, 159549, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 482082, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 21, Mexico, <=50K +32, Local-gov, 286101, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +44, Private, 167955, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K +40, Self-emp-not-inc, 209040, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 105017, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 27776, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 242941, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 1602, 10, United-States, <=50K +41, Private, 118853, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 119565, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 196827, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, <=50K +47, Private, 275361, Assoc-acdm, 12, Widowed, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +42, Private, 225193, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 329783, 10th, 6, Never-married, Sales, Other-relative, White, Female, 0, 0, 10, United-States, <=50K +29, Local-gov, 107411, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +21, State-gov, 258490, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +18, ?, 120243, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 27, United-States, <=50K +31, Private, 219509, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, >50K +27, Local-gov, 29174, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 40083, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +23, Private, 87528, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +41, Private, 116379, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 55, Taiwan, >50K +46, Local-gov, 216214, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +34, Private, 268051, Some-college, 10, Married-civ-spouse, Protective-serv, Other-relative, Black, Female, 0, 0, 25, Haiti, <=50K +42, Self-emp-not-inc, 121718, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K +18, Private, 201901, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 1719, 15, United-States, <=50K +46, Private, 109089, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +18, ?, 346382, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K +52, Private, 284129, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 143030, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 212619, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Self-emp-not-inc, 199011, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 118901, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +41, Self-emp-not-inc, 129865, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 157900, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 349341, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 158685, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 386585, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +90, Private, 52386, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K +45, Private, 246891, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +30, Private, 190385, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K +42, Private, 37869, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 217807, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +53, Private, 149784, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +64, State-gov, 201293, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +56, Private, 128764, 7th-8th, 4, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +42, Private, 27444, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +26, Private, 62438, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +31, Local-gov, 151726, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +40, Private, 29841, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 131608, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 110562, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 190541, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K +62, State-gov, 33142, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +65, Self-emp-inc, 139272, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K +40, Private, 234633, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Local-gov, 238386, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 460835, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K +23, ?, 243190, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K +63, Federal-gov, 97855, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Private, 77146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K +37, Private, 200863, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +25, ?, 41107, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +56, Private, 77415, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 236770, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +53, Federal-gov, 173093, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 1887, 40, Philippines, >50K +32, Private, 235124, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Self-emp-not-inc, 282604, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 60, United-States, >50K +35, Private, 199288, 11th, 7, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K +51, Private, 191659, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 65, United-States, >50K +19, Private, 43285, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 160837, 11th, 7, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +22, Private, 230574, 10th, 6, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K +23, Private, 176178, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 116358, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K +27, ?, 253873, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +45, Private, 107787, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K +23, Self-emp-not-inc, 519627, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K +21, Private, 191460, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 198282, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +29, Private, 214858, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Self-emp-not-inc, 64875, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, <=50K +18, Private, 675421, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 594, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 134768, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Federal-gov, 207342, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 64830, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +31, Private, 220066, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 14344, 0, 50, United-States, >50K +37, Private, 82521, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +33, Private, 176711, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, England, <=50K +22, ?, 217421, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +28, Private, 111900, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +22, ?, 196943, Some-college, 10, Separated, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +47, Private, 481987, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +67, ?, 184506, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 419, 3, United-States, <=50K +20, ?, 121313, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 158420, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +26, Private, 256000, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K +36, Private, 183892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 44, United-States, >50K +28, Private, 42734, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 181773, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +47, Private, 184945, Some-college, 10, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +33, Private, 107248, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +34, Self-emp-inc, 215382, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 4787, 0, 40, United-States, >50K +25, Private, 122999, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 758700, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3781, 0, 50, Mexico, <=50K +36, State-gov, 166606, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Local-gov, 192060, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, ?, <=50K +74, ?, 340939, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 3471, 0, 40, United-States, <=50K +57, Private, 205708, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K +55, Private, 67450, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, England, <=50K +20, Private, 242077, HS-grad, 9, Divorced, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 129573, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 44, United-States, <=50K +54, Private, 181132, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, England, >50K +25, Private, 212302, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 83411, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K +23, ?, 148751, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +17, Private, 317681, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K +39, ?, 103986, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K +63, Private, 30602, 7th-8th, 4, Married-spouse-absent, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +19, Private, 172893, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K +56, Self-emp-inc, 211804, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +33, Self-emp-not-inc, 312055, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +37, Private, 65390, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 200500, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +36, Local-gov, 241962, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-inc, 78530, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, Canada, >50K +22, Private, 189950, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +35, Private, 111387, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1579, 40, United-States, <=50K +20, Private, 241951, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +18, Private, 343059, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 302465, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K +53, Private, 156843, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 54, United-States, >50K +21, ?, 79728, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 55284, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +34, Private, 509364, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +32, State-gov, 117927, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 137651, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +70, Private, 131060, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K +57, Private, 346963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 183611, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3137, 0, 50, United-States, <=50K +34, Private, 134737, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 36503, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 250121, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 330535, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +27, Private, 387776, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 41474, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +36, Local-gov, 318972, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 65, United-States, <=50K +33, Private, 86143, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +50, Private, 181139, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 326232, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 2547, 50, United-States, >50K +39, Local-gov, 153976, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 59469, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K +24, Private, 127139, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 136343, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 350624, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, ?, 177351, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2174, 40, United-States, >50K +68, Private, 166149, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 2206, 30, United-States, <=50K +29, Private, 121523, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Self-emp-not-inc, 267396, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 83045, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 160449, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K +55, Self-emp-inc, 124137, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 35, Greece, >50K +20, ?, 287681, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K +41, Private, 154194, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 295127, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K +60, Private, 240521, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +61, Self-emp-not-inc, 244087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K +35, Private, 356250, Prof-school, 15, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 35, China, <=50K +42, State-gov, 293791, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 44308, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Local-gov, 210527, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, State-gov, 151763, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +39, State-gov, 267581, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 100188, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K +32, Self-emp-inc, 111746, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 171091, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 355645, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 20, Trinadad&Tobago, <=50K +54, Local-gov, 137678, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 70894, Assoc-acdm, 12, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 171306, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 3, United-States, <=50K +31, Private, 100997, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +35, Private, 63921, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +29, Private, 32897, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +29, Local-gov, 251854, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 345121, 10th, 6, Separated, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +46, Private, 86220, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 172845, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +20, Private, 171398, 10th, 6, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K +24, Self-emp-not-inc, 174391, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 207058, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +37, Private, 291251, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 224377, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 105813, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Local-gov, 180916, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +31, Self-emp-not-inc, 122749, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +38, Private, 31069, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K +26, Self-emp-not-inc, 284343, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 319371, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +46, Private, 174224, Assoc-voc, 11, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +69, ?, 183958, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +39, Private, 127772, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 44, United-States, >50K +48, Private, 80651, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +46, Private, 62793, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 191712, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K +39, Self-emp-not-inc, 237532, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 54, Dominican-Republic, >50K +50, Federal-gov, 20179, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 311376, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 432565, Assoc-voc, 11, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 40, Canada, >50K +39, Self-emp-inc, 329980, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 60, United-States, >50K +29, Self-emp-not-inc, 125190, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 342946, 11th, 7, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 38, United-States, <=50K +21, ?, 219835, Assoc-voc, 11, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 123429, 10th, 6, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +69, Self-emp-inc, 69209, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3818, 0, 30, United-States, <=50K +55, Private, 66356, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 195897, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Self-emp-inc, 153132, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 52, United-States, >50K +18, Private, 230875, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +74, Self-emp-not-inc, 92298, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K +40, Private, 185145, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 297296, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +75, ?, 164849, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 1409, 0, 5, United-States, <=50K +55, Private, 145214, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 242341, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +54, Private, 240542, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +36, Private, 104772, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 48, United-States, <=50K +76, ?, 152802, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +26, Private, 181666, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 415520, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +38, Private, 258761, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 88842, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K +19, ?, 356717, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +32, Private, 158438, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +57, Private, 206206, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 51816, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 253814, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 161745, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 1980, 60, United-States, <=50K +60, Private, 162947, 5th-6th, 3, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Puerto-Rico, <=50K +52, Private, 163027, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +61, Private, 146788, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 73309, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +19, ?, 143867, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 104216, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K +34, Self-emp-not-inc, 345705, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +31, Private, 133770, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K +42, Private, 209392, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +70, Private, 262345, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K +47, Private, 277545, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K +47, ?, 174525, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3942, 0, 40, ?, <=50K +29, Private, 490332, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 211570, 11th, 7, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 374918, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 106728, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 60, United-States, >50K +28, Private, 173649, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, ?, <=50K +35, Private, 174597, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 233533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +54, ?, 169785, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 133169, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 198824, Assoc-voc, 11, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +65, Private, 174056, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 188696, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 90692, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +34, Private, 271933, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 1741, 45, United-States, <=50K +47, Self-emp-not-inc, 102359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K +49, Federal-gov, 213668, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 56, United-States, >50K +21, Private, 294789, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +20, Private, 157599, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +18, Local-gov, 134935, 12th, 8, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 466224, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 111985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 264627, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 213427, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 279015, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +47, Private, 165937, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Federal-gov, 188343, HS-grad, 9, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +63, Private, 158609, Assoc-voc, 11, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 8, United-States, <=50K +34, Private, 193036, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +25, Private, 198632, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +54, Private, 175912, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Male, 914, 0, 40, United-States, <=50K +19, ?, 192773, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +35, Private, 101387, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +24, Private, 60783, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K +26, Private, 183224, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K +59, Local-gov, 100776, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 57600, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, ?, <=50K +20, Private, 174063, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 306495, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 249741, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 93021, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K +36, Private, 49626, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 63062, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K +55, Private, 320835, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Local-gov, 123727, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 21, United-States, <=50K +58, State-gov, 110517, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 4064, 0, 40, India, <=50K +43, Private, 149670, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4064, 0, 15, United-States, <=50K +39, Private, 172425, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +40, Private, 216116, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, Haiti, <=50K +46, Private, 174209, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +54, Federal-gov, 175083, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 129059, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +24, Private, 121313, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, ?, 181317, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, State-gov, 166851, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K +29, Self-emp-not-inc, 29616, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K +56, Self-emp-inc, 105582, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +54, ?, 124993, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +21, ?, 148509, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +34, Private, 230246, 9th, 5, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +56, Private, 117881, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 203408, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +19, Private, 446219, 10th, 6, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 110331, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +48, Private, 207946, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 52, United-States, <=50K +67, ?, 45537, Masters, 14, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, >50K +47, Private, 188330, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, <=50K +52, Private, 147629, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +40, Private, 153799, 1st-4th, 2, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K +28, Private, 203776, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 168071, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +57, Private, 348430, 1st-4th, 2, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, Portugal, <=50K +51, Private, 103407, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, ?, 152046, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, Germany, <=50K +36, Private, 153205, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, ?, <=50K +33, Private, 326104, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +46, Private, 238162, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +50, Private, 221336, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +33, Private, 180656, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +77, Self-emp-not-inc, 145329, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 401, 0, 20, United-States, <=50K +39, Private, 315776, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 8614, 0, 52, United-States, >50K +67, ?, 150516, HS-grad, 9, Widowed, ?, Unmarried, White, Male, 0, 0, 3, United-States, <=50K +35, Private, 325802, Assoc-acdm, 12, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +23, Private, 133985, 10th, 6, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 269329, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K +41, Private, 183203, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +60, Private, 76127, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K +32, Private, 195891, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +56, Federal-gov, 162137, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +45, State-gov, 37672, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 161708, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +18, Private, 80616, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 27, United-States, <=50K +31, Private, 209276, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, United-States, <=50K +21, ?, 34443, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 192835, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K +23, Private, 203240, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, State-gov, 102308, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 40829, 11th, 7, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K +25, Private, 60726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 30, United-States, <=50K +31, State-gov, 116677, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 57067, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 304906, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +74, Private, 101590, Prof-school, 15, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +27, Private, 258102, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +23, Private, 241185, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 124827, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-inc, 76625, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Federal-gov, 263339, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 135645, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +42, Private, 245626, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +24, Private, 210781, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 235786, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Self-emp-not-inc, 160167, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +52, Federal-gov, 30731, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +34, Private, 314375, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 81528, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 60, United-States, <=50K +54, Private, 182854, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +42, Federal-gov, 296798, 11th, 7, Never-married, Tech-support, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K +32, Private, 194426, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K +40, ?, 70645, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K +55, Self-emp-inc, 141807, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +66, ?, 112871, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +52, State-gov, 71344, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, State-gov, 341410, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +33, Private, 118941, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +52, ?, 159755, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 128509, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, ?, <=50K +27, Self-emp-not-inc, 229125, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 142756, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +27, Self-emp-inc, 243871, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K +47, Private, 213140, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +19, Private, 196857, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 138626, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 161334, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, Nicaragua, <=50K +50, Private, 273536, 7th-8th, 4, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 49, Dominican-Republic, <=50K +32, Private, 115631, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 4101, 0, 50, United-States, <=50K +28, Private, 185957, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 334357, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 96102, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 213226, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K +19, Private, 115248, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +37, Private, 185061, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K +27, Private, 147638, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K +18, Private, 280298, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K +31, Private, 163516, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 277434, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Federal-gov, 206983, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Columbia, <=50K +48, Private, 108993, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Private, 288551, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 176069, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +48, State-gov, 183486, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 56, United-States, >50K +40, Private, 163215, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K +70, Private, 94692, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +20, Private, 118462, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 43, United-States, <=50K +38, Private, 407068, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 75, Mexico, <=50K +37, Self-emp-not-inc, 243587, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 40, Cuba, <=50K +49, Private, 23074, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +51, Private, 237735, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3103, 0, 40, United-States, >50K +43, Private, 188291, 1st-4th, 2, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 284166, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +18, ?, 423460, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K +23, Private, 287681, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K +34, Private, 509364, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, ?, 139391, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K +33, Private, 91964, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 117526, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +64, Private, 91343, Some-college, 10, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Local-gov, 336969, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 28, El-Salvador, <=50K +55, Private, 255364, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Local-gov, 167670, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 211494, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +78, Local-gov, 136198, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 15, United-States, <=50K +27, Federal-gov, 409815, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Private, 188823, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +55, State-gov, 146326, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K +42, Private, 154374, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 58, United-States, <=50K +22, ?, 216563, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 197286, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Self-emp-not-inc, 100722, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 5, United-States, <=50K +46, Local-gov, 377622, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 145964, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 358636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 70, United-States, <=50K +47, Private, 155489, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 55, United-States, >50K +18, Private, 57413, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +48, Private, 320421, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Self-emp-not-inc, 174752, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, State-gov, 229364, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +56, Self-emp-not-inc, 157486, 10th, 6, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 92682, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K +56, Federal-gov, 101338, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 132652, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +21, Private, 34616, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +40, Private, 218903, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Local-gov, 204098, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +52, Self-emp-not-inc, 64045, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 45, United-States, >50K +46, Private, 189763, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 26248, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 92079, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +19, Private, 280071, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 224059, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 185520, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K +24, Private, 265567, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +72, Private, 106890, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, State-gov, 39586, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K +42, Private, 153132, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, ?, <=50K +51, Private, 209912, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K +39, Private, 144169, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Local-gov, 50442, Some-college, 10, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 2977, 0, 35, United-States, <=50K +34, Private, 89644, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +19, Private, 275889, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +26, Private, 231638, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Local-gov, 224474, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 4934, 0, 50, United-States, >50K +28, Private, 355259, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +30, Federal-gov, 68330, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +32, Private, 185410, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 87653, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +21, Private, 286853, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +54, Private, 96710, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K +62, Private, 160143, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K +25, Private, 186925, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 2597, 0, 48, United-States, <=50K +49, Self-emp-inc, 109705, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +32, Private, 94235, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 225279, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1602, 40, ?, <=50K +37, Local-gov, 297449, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Private, 205896, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 93717, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 45, United-States, >50K +41, Private, 194710, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 236391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +47, State-gov, 189123, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 358677, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K +30, State-gov, 199539, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, <=50K +43, Private, 128170, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +34, Private, 231238, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +57, Private, 296152, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Female, 594, 0, 10, United-States, <=50K +46, Private, 166003, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 281437, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +20, Private, 190231, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 11, Nicaragua, <=50K +47, Private, 122026, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +55, ?, 205527, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +53, Self-emp-not-inc, 174102, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, Greece, >50K +43, Private, 125461, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +80, Self-emp-not-inc, 184335, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +24, Private, 211345, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +43, Local-gov, 147328, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K +22, Private, 222993, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 225978, Some-college, 10, Separated, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +48, Private, 121124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +56, ?, 656036, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +34, ?, 346762, 11th, 7, Divorced, ?, Own-child, White, Male, 0, 0, 84, United-States, <=50K +51, Private, 234057, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Federal-gov, 306515, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 116562, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 171159, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +24, Private, 199011, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 443508, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, Canada, >50K +24, Private, 29810, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +22, Local-gov, 238831, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Federal-gov, 566117, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 255044, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +20, Private, 436253, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +31, Private, 300687, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +55, Private, 144071, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K +49, State-gov, 133917, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1902, 60, ?, >50K +26, Private, 188767, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 300777, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +35, Private, 26987, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 174395, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 60, Greece, <=50K +59, Private, 90290, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 34, United-States, <=50K +61, Private, 183735, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Private, 123273, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 186916, Masters, 14, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +61, Private, 43554, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 2339, 40, United-States, <=50K +54, Private, 178251, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +30, Private, 255885, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 64292, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +27, State-gov, 194773, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, Germany, <=50K +44, Self-emp-inc, 133060, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +64, Private, 258006, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K +55, Private, 92215, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 33945, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 6849, 0, 55, United-States, <=50K +61, Private, 153048, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +28, Private, 192200, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K +34, Private, 355571, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-inc, 139268, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K +26, Private, 34402, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 25955, 11th, 7, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +36, Private, 209609, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K +47, Private, 168283, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 295488, 11th, 7, Never-married, Other-service, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +35, Private, 190895, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 164190, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +25, Private, 216010, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 387568, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K +47, State-gov, 188386, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +44, Private, 174491, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +41, Private, 31221, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +30, Private, 272451, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Self-emp-not-inc, 152652, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +53, Private, 104413, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +40, Private, 105936, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 5013, 0, 20, United-States, <=50K +24, Private, 379066, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2205, 24, United-States, <=50K +27, Private, 214858, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 237735, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 37, Mexico, <=50K +36, Private, 158592, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 237321, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, >50K +41, Private, 23646, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 169240, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Federal-gov, 454508, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 130356, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K +22, Private, 427686, 10th, 6, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Local-gov, 36411, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K +39, Private, 548510, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 30, United-States, <=50K +38, Private, 187264, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, <=50K +35, State-gov, 140752, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 325596, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 175804, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 107302, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +63, Local-gov, 41161, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +39, Private, 401832, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +57, Self-emp-not-inc, 353808, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +58, Self-emp-inc, 349910, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +29, Private, 161478, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K +17, Private, 400225, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +40, Private, 367533, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +69, Self-emp-not-inc, 69306, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K +28, Private, 270366, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 103751, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 75227, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K +45, Local-gov, 132563, Prof-school, 15, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 1726, 40, United-States, <=50K +33, State-gov, 79580, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 344624, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1485, 40, United-States, >50K +37, Self-emp-inc, 186359, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 60, United-States, >50K +50, Private, 121685, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +48, Private, 75104, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, ?, 188343, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 246449, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +21, Private, 85088, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K +37, Private, 545483, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, State-gov, 243986, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +54, Self-emp-not-inc, 32778, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K +28, Private, 369114, HS-grad, 9, Separated, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 217200, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 149220, Assoc-voc, 11, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, ?, 162034, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, ?, 157813, 11th, 7, Divorced, ?, Unmarried, White, Female, 0, 0, 58, Canada, <=50K +17, ?, 179715, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 335549, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K +47, Private, 102308, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 367749, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K +25, Private, 98281, 12th, 8, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 43, United-States, <=50K +35, Private, 115792, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +29, Private, 277788, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K +30, Private, 103435, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 37646, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 385632, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Self-emp-not-inc, 210278, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 335357, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 272165, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Local-gov, 148995, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K +46, Self-emp-not-inc, 113434, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, State-gov, 132551, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +38, Federal-gov, 115433, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 33, United-States, >50K +29, Private, 227890, HS-grad, 9, Never-married, Protective-serv, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 503012, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +56, Private, 250873, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 407930, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 148187, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 159322, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 334368, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 196328, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K +45, Private, 270842, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +71, Private, 235079, Preschool, 1, Widowed, Craft-repair, Unmarried, Black, Male, 0, 0, 10, United-States, <=50K +65, ?, 327154, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 188391, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K +19, Federal-gov, 30559, HS-grad, 9, Married-AF-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +34, Local-gov, 255098, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 248010, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 174515, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +90, Private, 171956, Some-college, 10, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K +56, Private, 193130, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K +21, Private, 108670, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 186172, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +45, Private, 348854, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 27, United-States, <=50K +46, Private, 271828, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +64, Private, 148606, 10th, 6, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +29, Local-gov, 123983, Masters, 14, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K +22, Private, 24896, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 30, Germany, <=50K +47, Private, 573583, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, Italy, >50K +67, Self-emp-inc, 106175, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 75, United-States, >50K +43, Private, 307767, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 200574, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 59083, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 50, United-States, <=50K +53, Private, 358056, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +81, Private, 114670, 9th, 5, Widowed, Priv-house-serv, Not-in-family, Black, Female, 2062, 0, 5, United-States, <=50K +33, Local-gov, 262042, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 1138, 40, United-States, <=50K +17, Private, 206010, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K +55, Self-emp-inc, 183869, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, ?, >50K +28, Private, 159001, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +24, Private, 155818, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 96055, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +30, Local-gov, 131776, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 228613, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 198163, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 37028, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +30, Private, 177304, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 144064, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 146659, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +63, Self-emp-not-inc, 26904, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 98, United-States, <=50K +23, Private, 238917, 7th-8th, 4, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 36, United-States, <=50K +56, Private, 170148, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 27821, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 220460, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +49, Private, 101320, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 1902, 40, United-States, >50K +35, Private, 173858, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +52, Private, 91048, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +28, Private, 298696, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 207202, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K +21, ?, 230397, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K +43, Self-emp-not-inc, 180599, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +32, ?, 199046, Assoc-voc, 11, Never-married, ?, Unmarried, White, Female, 0, 0, 2, United-States, <=50K +29, Self-emp-not-inc, 132686, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, Italy, >50K +23, Private, 240063, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K +50, Local-gov, 177705, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1740, 48, United-States, <=50K +34, Private, 511361, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 89397, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 239439, 11th, 7, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 36989, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 76978, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +75, Private, 200068, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +24, Private, 454941, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, State-gov, 107218, Bachelors, 13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K +17, Local-gov, 182070, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +31, Private, 176360, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +31, Private, 452405, Preschool, 1, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, Mexico, <=50K +18, ?, 297396, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K +45, Private, 84790, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +31, Private, 186787, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 42, United-States, <=50K +27, Private, 169662, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K +48, Private, 125933, Some-college, 10, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 1669, 38, United-States, <=50K +22, ?, 35448, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 22, United-States, <=50K +34, Private, 225548, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 30, United-States, <=50K +26, Private, 240842, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 103931, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 232618, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +49, Local-gov, 288548, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +40, Private, 220609, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 26145, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K +23, Private, 268525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +68, ?, 133758, 7th-8th, 4, Widowed, ?, Not-in-family, Black, Male, 0, 0, 10, United-States, <=50K +42, Private, 121264, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Self-emp-not-inc, 29814, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 85, United-States, <=50K +27, Private, 193701, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 45, United-States, <=50K +38, Private, 183279, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K +27, Private, 163942, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Ireland, <=50K +75, Private, 188612, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 102771, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K +27, Private, 85625, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +36, Self-emp-not-inc, 245090, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K +36, Private, 131239, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 45, United-States, >50K +35, Private, 182074, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +36, Private, 187046, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 90624, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 37933, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 182177, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 35, United-States, <=50K +61, Private, 716416, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K +29, Private, 190562, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 56, United-States, <=50K +40, State-gov, 141583, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +37, Private, 98941, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +22, Private, 201729, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +43, Self-emp-inc, 175485, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 149168, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 115971, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 161708, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +64, Local-gov, 244903, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +46, Private, 155664, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 112754, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 178385, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 48, India, <=50K +20, Private, 44064, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K +62, Self-emp-not-inc, 120939, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 165134, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 35, Columbia, <=50K +29, Private, 100405, 10th, 6, Married-civ-spouse, Farming-fishing, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 361888, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Japan, <=50K +39, Local-gov, 167864, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +39, Private, 202950, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 218188, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 32, United-States, <=50K +38, Private, 234962, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2829, 0, 30, Mexico, <=50K +72, ?, 177226, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +31, Private, 259931, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 189528, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +38, Private, 34996, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 112584, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +25, Private, 117589, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, ?, 145234, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +37, Private, 267086, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 52, United-States, <=50K +49, Private, 44434, Some-college, 10, Divorced, Tech-support, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +26, Private, 96130, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 181382, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K +44, Self-emp-inc, 168845, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, United-States, <=50K +37, Private, 271767, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +42, Private, 194636, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +64, State-gov, 194894, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 4787, 0, 40, United-States, >50K +28, Private, 132686, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Self-emp-not-inc, 185848, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K +40, State-gov, 184378, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Federal-gov, 270859, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 231866, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K +49, Private, 36032, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +51, State-gov, 172962, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 98350, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Philippines, >50K +51, Private, 24185, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 53930, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +24, Private, 85088, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 1762, 32, United-States, <=50K +45, Self-emp-not-inc, 94962, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, <=50K +28, Private, 480861, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +42, Self-emp-inc, 187702, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 60, United-States, >50K +22, Private, 52262, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, State-gov, 52636, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 175273, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 327825, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 2238, 40, United-States, <=50K +47, Private, 125892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, >50K +40, ?, 78255, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +30, Private, 398827, HS-grad, 9, Married-AF-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K +61, Private, 208919, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +71, Local-gov, 365996, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 6, United-States, <=50K +42, Private, 307638, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, Local-gov, 33068, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +46, Self-emp-not-inc, 254291, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +50, Local-gov, 125417, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 52, United-States, >50K +27, State-gov, 28848, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 9, United-States, <=50K +40, ?, 273425, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K +21, Private, 194723, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +25, Private, 195118, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +61, Private, 123273, 5th-6th, 3, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1876, 56, United-States, <=50K +54, Private, 220115, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +31, Private, 265706, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Self-emp-not-inc, 279129, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +39, Self-emp-inc, 122742, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +57, Self-emp-inc, 172654, Prof-school, 15, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 50, United-States, >50K +48, Private, 119199, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +30, Private, 107793, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, >50K +35, Private, 237943, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K +42, Self-emp-not-inc, 64632, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Self-emp-not-inc, 96245, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 361494, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +69, Local-gov, 122850, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +29, Private, 173652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 164663, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 98678, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +40, Private, 245529, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 55294, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 140583, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 79797, HS-grad, 9, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K +72, ?, 113044, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 283499, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K +41, Local-gov, 51111, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 232475, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 176140, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 301654, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 376455, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +28, ?, 192569, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 229803, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 337639, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 130849, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +32, Private, 296282, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 266645, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +23, State-gov, 110128, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 90196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +40, State-gov, 40024, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +35, Private, 144322, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +74, Self-emp-inc, 162340, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 169069, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 113601, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +20, Self-emp-not-inc, 157145, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 2258, 10, United-States, <=50K +44, Private, 111275, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 56, United-States, <=50K +46, Local-gov, 102076, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +20, ?, 182117, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 145409, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +40, Private, 190122, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 331482, Prof-school, 15, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K +60, Self-emp-not-inc, 170114, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 84, United-States, <=50K +48, Self-emp-inc, 193188, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Local-gov, 267588, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 70, United-States, <=50K +48, Self-emp-inc, 200471, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +22, ?, 175586, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +24, Local-gov, 322658, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, State-gov, 263982, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 266287, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +39, Private, 278187, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +65, Self-emp-inc, 81413, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2352, 65, United-States, <=50K +22, Private, 221745, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 140764, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +28, Private, 206351, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 176814, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +42, Local-gov, 245307, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K +61, State-gov, 124971, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +28, Private, 119545, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 7688, 0, 50, United-States, >50K +18, Private, 179203, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +24, Federal-gov, 44075, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +45, Private, 178319, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K +24, Private, 219754, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 198316, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +20, Private, 168165, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 356838, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 2829, 0, 55, Poland, <=50K +52, Self-emp-inc, 210736, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 173212, Assoc-acdm, 12, Never-married, Farming-fishing, Not-in-family, White, Male, 2354, 0, 45, United-States, <=50K +19, Private, 130431, 5th-6th, 3, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K +35, ?, 169809, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +54, Private, 197481, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 155066, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 31290, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +42, Private, 54102, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 181546, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 153484, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +44, State-gov, 351228, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 131976, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 55, United-States, <=50K +26, Private, 200639, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Federal-gov, 267546, Assoc-acdm, 12, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +41, Private, 179875, 11th, 7, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K +25, ?, 237865, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, ?, <=50K +43, Private, 300528, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 67716, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 10520, 0, 48, United-States, >50K +48, Federal-gov, 326048, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K +60, Private, 191188, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 32172, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 252903, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K +37, Federal-gov, 334314, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 83704, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 160574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K +27, Private, 203776, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Local-gov, 328610, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 295589, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 40, United-States, >50K +40, Private, 174373, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Private, 247752, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, ?, 199244, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 139992, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 95680, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-inc, 189933, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 498785, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, State-gov, 177526, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +64, Self-emp-not-inc, 150121, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, >50K +56, Federal-gov, 130454, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 119079, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 49, United-States, >50K +33, Private, 220939, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K +33, Private, 94235, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 42, United-States, >50K +21, Private, 305874, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Local-gov, 62020, HS-grad, 9, Widowed, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +58, Private, 235624, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Germany, >50K +43, Local-gov, 247514, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 275726, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +45, Private, 72896, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Local-gov, 110510, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +41, Private, 173938, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, ?, >50K +27, Private, 200641, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, Mexico, <=50K +53, Private, 211654, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, ?, >50K +38, Private, 242720, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +31, Private, 111567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +41, Private, 179533, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +22, State-gov, 334693, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 198096, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +41, State-gov, 355756, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 19395, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 35, United-States, <=50K +41, Local-gov, 242586, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 208358, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 99999, 0, 45, United-States, >50K +49, Private, 160647, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +20, Private, 227943, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K +58, Self-emp-not-inc, 197665, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +35, Self-emp-not-inc, 216129, 12th, 8, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K +30, Local-gov, 326104, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 57211, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 100219, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 291192, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, State-gov, 93415, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K +35, Private, 191502, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 261382, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 170230, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 40, ?, <=50K +59, Private, 374924, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 320984, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 338320, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +51, Private, 135190, 7th-8th, 4, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +71, Private, 157909, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 2964, 0, 60, United-States, <=50K +33, Private, 637222, 12th, 8, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 430084, HS-grad, 9, Divorced, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +30, Private, 125279, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 221955, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +51, Self-emp-inc, 180195, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 208778, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K +62, Private, 81534, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +37, Private, 325538, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 60, ?, <=50K +28, Private, 142264, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, Dominican-Republic, <=50K +23, Private, 128604, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 48, South, <=50K +39, Private, 277886, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K +50, Self-emp-inc, 100029, Bachelors, 13, Widowed, Sales, Unmarried, White, Male, 0, 0, 65, United-States, >50K +31, Private, 169269, 7th-8th, 4, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +45, Local-gov, 160472, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +23, ?, 123983, Bachelors, 13, Never-married, ?, Own-child, Other, Male, 0, 0, 40, United-States, <=50K +47, Private, 297884, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 99131, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K +32, Private, 44392, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +82, ?, 29441, 7th-8th, 4, Widowed, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K +49, Private, 199029, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 55, United-States, >50K +74, Federal-gov, 181508, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 17, United-States, <=50K +22, Private, 190625, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K +32, Private, 194740, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, Greece, <=50K +34, Private, 27380, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +59, Private, 160631, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +36, Private, 224531, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +59, Private, 283005, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-inc, 101926, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +53, Local-gov, 135102, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2002, 45, United-States, <=50K +25, Self-emp-not-inc, 113436, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +44, Private, 248973, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 65, United-States, <=50K +57, Self-emp-not-inc, 225334, Prof-school, 15, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 35, United-States, >50K +42, Self-emp-not-inc, 157562, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 80, United-States, >50K +58, Local-gov, 310085, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 129597, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 40, United-States, <=50K +32, ?, 53042, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +45, Private, 204205, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +47, Private, 169324, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 35, United-States, >50K +52, ?, 134447, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +56, Self-emp-not-inc, 236731, 1st-4th, 2, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, ?, <=50K +52, Private, 141301, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 235124, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +36, Self-emp-not-inc, 367020, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +41, Private, 149102, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K +30, Private, 423770, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +44, Private, 211759, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K +17, ?, 110998, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +34, Private, 56883, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 223062, Some-college, 10, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 406662, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 206600, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 48, Mexico, <=50K +42, Local-gov, 147510, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 235646, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K +26, Private, 187577, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +64, Self-emp-inc, 132832, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 20051, 0, 40, ?, >50K +46, Self-emp-inc, 278322, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 278924, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K +49, State-gov, 203039, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 145651, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +46, Local-gov, 144531, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +30, Private, 91145, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +49, Self-emp-not-inc, 211762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +47, ?, 111563, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 180985, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K +31, Private, 207537, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 1669, 50, United-States, <=50K +19, Private, 417657, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 189890, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 38, United-States, <=50K +34, Private, 223212, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, Peru, >50K +26, Private, 108658, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 190023, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 222130, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +36, Self-emp-inc, 164866, Assoc-acdm, 12, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 170983, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +30, Private, 186269, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 286026, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 403433, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K +21, ?, 224209, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 30, United-States, <=50K +73, Private, 123160, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +38, Federal-gov, 99527, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 123178, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 231043, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Local-gov, 317733, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +58, Private, 241056, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 46, United-States, <=50K +34, Local-gov, 220066, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +35, Private, 180342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Federal-gov, 31840, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 183168, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 386036, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +31, Local-gov, 446358, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, Mexico, >50K +45, Private, 28035, Some-college, 10, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 282155, HS-grad, 9, Separated, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +27, Private, 192384, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 383637, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +29, Private, 457402, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K +34, Self-emp-inc, 80249, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K +32, State-gov, 159537, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 240859, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, <=50K +33, Private, 83446, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K +74, ?, 29866, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K +62, Private, 185503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Self-emp-not-inc, 68781, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 220589, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 51136, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +24, Private, 54560, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +76, ?, 28221, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Canada, >50K +25, Private, 201413, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 40425, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +31, Private, 189461, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 41, United-States, <=50K +53, Private, 200576, 11th, 7, Divorced, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 92691, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 3, United-States, <=50K +47, Private, 664821, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +37, Private, 175130, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +50, Self-emp-not-inc, 391016, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 249315, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +58, Private, 111169, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 334946, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 352248, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 173804, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +56, Private, 155449, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 73689, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +23, Private, 227594, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 38, United-States, <=50K +47, Private, 161676, 11th, 7, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +68, Private, 75913, 12th, 8, Widowed, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +47, Local-gov, 242552, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +45, Federal-gov, 352094, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, Guatemala, >50K +26, Private, 159732, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +20, Private, 131230, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 1590, 40, United-States, <=50K +46, Private, 180695, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 189922, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 409189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +43, Private, 111252, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, United-States, <=50K +59, Private, 294395, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 172718, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 43403, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 1590, 54, United-States, <=50K +63, Private, 111963, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K +45, Private, 247869, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +59, Private, 114032, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, ?, 356838, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +26, Private, 179633, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 19847, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 231689, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 209942, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +53, Private, 197492, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 262439, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +46, Private, 283037, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +79, ?, 144533, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +31, Private, 83446, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 215443, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Local-gov, 268252, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 62, United-States, <=50K +40, Private, 181015, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 47, United-States, <=50K +41, Self-emp-inc, 139916, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, Other, Male, 0, 2179, 84, Mexico, <=50K +20, Private, 195770, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 26, United-States, <=50K +45, Private, 125194, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 58654, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 252327, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 116508, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K +36, Private, 166988, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +25, Private, 374163, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K +30, ?, 96851, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 1719, 25, United-States, <=50K +31, Private, 196788, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 186172, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 45, United-States, >50K +26, Private, 245628, 11th, 7, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +25, Private, 159732, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 129856, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 182812, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 3325, 0, 52, Dominican-Republic, <=50K +41, Private, 314322, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 102976, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +57, Self-emp-inc, 42959, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +21, Private, 256356, 11th, 7, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +29, Private, 136277, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 32, United-States, <=50K +36, Private, 284616, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 185554, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +51, Private, 138847, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 33487, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 84306, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 50, United-States, <=50K +40, Self-emp-not-inc, 223881, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K +61, Private, 149653, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 348739, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +20, ?, 235442, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 34506, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +40, Private, 346964, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 192208, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +21, Private, 305874, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, United-States, <=50K +35, Self-emp-not-inc, 462890, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K +39, Private, 89508, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 200153, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 179446, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 208965, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Other, Male, 0, 0, 40, Mexico, <=50K +32, Private, 40142, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Self-emp-not-inc, 57452, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 327573, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 151267, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 15024, 0, 40, United-States, >50K +44, Private, 265266, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 203836, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 40, Columbia, <=50K +51, ?, 163998, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 20, United-States, >50K +46, Self-emp-not-inc, 28281, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Private, 293196, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, Iran, >50K +45, Private, 214627, Doctorate, 16, Widowed, Prof-specialty, Unmarried, White, Male, 15020, 0, 40, Iran, >50K +20, Private, 368852, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +44, Private, 353396, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 161745, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +18, Private, 97963, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +61, Self-emp-inc, 156542, Prof-school, 15, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +50, State-gov, 198103, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Federal-gov, 55377, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 173730, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +53, Private, 374588, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K +39, Self-emp-not-inc, 174330, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 78141, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +66, ?, 190324, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 18, United-States, <=50K +26, Private, 31350, 11th, 7, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 243607, 5th-6th, 3, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K +47, Local-gov, 134671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 197023, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +52, Private, 117674, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 169815, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +43, Private, 598606, 9th, 5, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K +42, Federal-gov, 122861, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 166235, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +41, Private, 187821, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2885, 0, 40, United-States, <=50K +34, Private, 340940, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 60, United-States, >50K +52, Self-emp-not-inc, 194791, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 231323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 305597, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 25429, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +46, State-gov, 192779, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +39, Private, 346478, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 341368, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, State-gov, 295612, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 168936, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +43, Private, 218558, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +37, Private, 336598, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 36, Mexico, <=50K +23, Private, 308205, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +39, Local-gov, 357173, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 59, United-States, <=50K +54, Private, 457237, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 284799, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +20, Private, 179423, Some-college, 10, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 363405, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 50, United-States, >50K +17, Private, 139183, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +36, Private, 203482, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 112554, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 99476, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +50, Private, 93690, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 220585, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Self-emp-not-inc, 194638, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K +53, Private, 154785, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +40, ?, 162108, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +23, Self-emp-inc, 214542, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 161922, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +46, Private, 207940, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +28, Private, 259351, 10th, 6, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K +59, Private, 208395, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 116391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 239781, Preschool, 1, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +56, Private, 174351, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K +50, Self-emp-not-inc, 44368, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 55, El-Salvador, >50K +31, Local-gov, 188798, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +41, Private, 50122, Assoc-voc, 11, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 111398, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K +25, State-gov, 152035, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +18, ?, 139003, HS-grad, 9, Never-married, ?, Other-relative, Other, Female, 0, 0, 12, United-States, <=50K +49, Local-gov, 249289, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +39, Private, 257726, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, ?, 113175, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 151158, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K +35, Private, 465326, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, ?, 356772, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 364782, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 198385, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 20, ?, <=50K +31, Private, 329301, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +17, Self-emp-inc, 254859, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 203488, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 50, United-States, >50K +25, Local-gov, 222800, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 96452, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +50, Private, 170050, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 116580, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K +50, Private, 400004, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +63, Private, 183608, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 194055, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 210443, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 43272, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +43, Local-gov, 108945, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +34, Private, 114691, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +18, Private, 304169, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +46, Private, 503923, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 4386, 0, 40, United-States, >50K +35, Private, 340428, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K +46, State-gov, 106705, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +59, Private, 146391, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K +31, Private, 235389, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, Portugal, <=50K +27, Private, 39665, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +41, Private, 113823, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, England, <=50K +42, Private, 217826, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, ?, <=50K +55, Private, 349304, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +34, ?, 197688, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 54507, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 117833, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1669, 50, United-States, <=50K +36, Private, 163396, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +69, Private, 88566, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 1424, 0, 35, United-States, <=50K +33, Private, 323619, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 75755, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 148903, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 16, United-States, >50K +25, Private, 40915, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +21, Private, 182606, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, ?, <=50K +18, Private, 131033, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 15, United-States, <=50K +35, Self-emp-not-inc, 168475, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +20, Private, 121568, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 139098, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K +46, Private, 357338, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 283268, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +40, Private, 572751, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, Mexico, >50K +40, Private, 315321, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 625, 52, United-States, <=50K +31, Private, 120461, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 65278, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Self-emp-not-inc, 208503, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 112835, Masters, 14, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 265038, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 89478, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +55, Private, 276229, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +52, Private, 366232, 9th, 5, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K +26, Private, 152035, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 205339, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +39, Private, 75995, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +62, Self-emp-not-inc, 192236, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +19, ?, 188618, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +47, Private, 229737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +51, Local-gov, 199688, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 52953, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 221043, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +59, Federal-gov, 115389, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K +45, Self-emp-not-inc, 204205, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K +52, Private, 338816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K +21, Private, 197387, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 42485, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K +29, Private, 367706, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +24, Private, 102493, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 263746, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K +47, Private, 115358, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 189680, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +32, ?, 282622, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 28, United-States, <=50K +34, Private, 127651, 10th, 6, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 44, ?, <=50K +63, Private, 230823, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K +21, Private, 300812, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +18, Private, 174732, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 36, United-States, <=50K +49, State-gov, 183710, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +81, Self-emp-not-inc, 137018, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +36, Self-emp-inc, 213008, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 357848, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 165799, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Self-emp-not-inc, 188571, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +46, Private, 97883, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +43, Local-gov, 105862, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 40, United-States, >50K +39, Local-gov, 57424, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +29, Private, 151476, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 129583, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 16, United-States, <=50K +57, Private, 180920, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K +38, Self-emp-not-inc, 182416, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 42, United-States, <=50K +25, Private, 251915, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Local-gov, 187127, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 69045, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K +56, Private, 192869, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 44, United-States, >50K +39, Private, 74163, 12th, 8, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 60847, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +17, ?, 213055, 11th, 7, Never-married, ?, Not-in-family, Other, Female, 0, 0, 20, United-States, <=50K +67, Self-emp-not-inc, 116057, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 3273, 0, 16, United-States, <=50K +41, Private, 82393, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K +24, Local-gov, 134181, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K +51, Private, 159910, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Male, 10520, 0, 40, United-States, >50K +30, Self-emp-inc, 117570, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +47, Self-emp-inc, 214169, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 40, United-States, >50K +56, Private, 56331, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +51, Private, 35576, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +57, Self-emp-not-inc, 149168, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +34, Private, 157165, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 278130, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 257200, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 283122, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 580248, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 230054, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +58, Private, 519006, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K +19, ?, 37332, HS-grad, 9, Never-married, ?, Own-child, White, Female, 1055, 0, 12, United-States, <=50K +19, ?, 365871, 7th-8th, 4, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +68, State-gov, 235882, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 60, United-States, >50K +43, Private, 336513, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K +17, Private, 115551, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +53, State-gov, 50048, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +37, Self-emp-inc, 382802, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 99, United-States, >50K +21, ?, 180303, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 25, ?, <=50K +63, Private, 106023, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 332379, Some-college, 10, Married-spouse-absent, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 95465, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 96102, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K +27, Private, 36440, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, >50K +25, Self-emp-not-inc, 209384, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 32, United-States, <=50K +28, Private, 50814, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 143865, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +74, ?, 104661, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +31, Local-gov, 50442, Some-college, 10, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 32, United-States, <=50K +23, Private, 236601, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +19, Private, 100999, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K +39, ?, 362685, Preschool, 1, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, El-Salvador, <=50K +61, Self-emp-not-inc, 32423, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 22040, 0, 40, United-States, <=50K +59, ?, 154236, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 7688, 0, 40, United-States, >50K +27, Self-emp-inc, 153546, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 36, United-States, >50K +19, Private, 182355, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +23, ?, 191444, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 44216, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K +40, Private, 97688, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K +53, Private, 209022, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +32, Private, 96016, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +72, Self-emp-not-inc, 52138, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2392, 25, United-States, >50K +61, Private, 159046, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 138634, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 130125, 10th, 6, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female, 1055, 0, 20, United-States, <=50K +73, Private, 247355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, Canada, <=50K +41, Self-emp-not-inc, 227065, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 244771, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 20, Jamaica, <=50K +23, Private, 215616, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K +65, Private, 386672, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K +45, Self-emp-inc, 177543, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K +52, Federal-gov, 617021, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Black, Male, 7688, 0, 40, United-States, >50K +24, Local-gov, 117109, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 27, United-States, <=50K +23, Private, 373550, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 19847, Some-college, 10, Divorced, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 189590, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 58343, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 56, United-States, <=50K +17, Private, 354201, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 119422, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 363405, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +63, Private, 181863, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 27, United-States, <=50K +27, Private, 194472, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +31, Private, 247328, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 40, Mexico, <=50K +71, Self-emp-not-inc, 130731, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +35, Private, 236910, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, Private, 378251, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K +36, Private, 120760, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +22, Private, 203182, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 130304, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 48, United-States, <=50K +30, Local-gov, 352542, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, ?, 191024, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 197728, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +76, Private, 316185, 7th-8th, 4, Widowed, Protective-serv, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +41, Private, 89226, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 292353, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, United-States, <=50K +45, Private, 304570, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +32, Private, 180296, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 361487, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 218490, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K +63, Self-emp-not-inc, 231777, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 189832, Assoc-acdm, 12, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 232308, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, State-gov, 33308, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 333677, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 170651, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 1055, 0, 40, United-States, <=50K +39, Private, 343403, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 36, United-States, <=50K +53, Private, 166386, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K +26, Federal-gov, 48099, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 143062, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K +18, Private, 104704, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 30497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +44, State-gov, 174325, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 40, United-States, >50K +31, Private, 286675, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 59474, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 378384, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K +43, Private, 245842, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, Mexico, <=50K +33, Private, 274222, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 7688, 0, 38, United-States, >50K +21, Private, 342575, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 30, United-States, <=50K +30, Private, 206051, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 234213, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +57, Private, 145189, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 233490, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 344129, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Self-emp-not-inc, 171315, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +31, Self-emp-not-inc, 181485, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K +51, Private, 255412, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, France, >50K +37, Private, 262409, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 213, 45, United-States, <=50K +45, Private, 199590, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, Mexico, <=50K +47, Private, 84726, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, ?, 226883, HS-grad, 9, Divorced, ?, Own-child, White, Male, 0, 0, 75, United-States, <=50K +75, Self-emp-not-inc, 184335, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K +43, Private, 102025, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 50, United-States, <=50K +39, Private, 183898, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 60, Germany, >50K +30, Private, 55291, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 150025, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K +44, Private, 100584, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +53, Local-gov, 181755, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, >50K +40, Private, 150528, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 107277, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +33, Private, 247205, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, England, <=50K +20, Private, 291979, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 270985, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K +48, Private, 62605, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +46, Self-emp-not-inc, 176863, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 53197, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 267776, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +24, Private, 308205, 7th-8th, 4, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 306383, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +70, Private, 35494, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K +26, Private, 291968, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K +34, Private, 80933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K +46, Private, 271828, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +70, Private, 121993, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 5, United-States, <=50K +37, Local-gov, 31023, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 36425, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +23, Private, 407684, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +28, Private, 241895, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1628, 40, United-States, <=50K +44, Self-emp-not-inc, 158555, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +58, Private, 140363, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 30, United-States, <=50K +53, Private, 123429, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 40060, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 290286, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +21, ?, 249271, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 106169, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +43, Private, 76487, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 437994, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K +41, Private, 113555, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 7298, 0, 50, United-States, >50K +36, Private, 160120, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +41, Local-gov, 343079, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1740, 20, United-States, <=50K +27, Private, 406662, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 4416, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 37618, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 114158, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +41, Private, 115562, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 353994, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K +21, Private, 344891, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K +44, Private, 286750, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K +29, Private, 194197, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Self-emp-not-inc, 206599, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 22, United-States, <=50K +21, Local-gov, 596776, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, Guatemala, <=50K +46, Private, 56841, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 112561, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +43, Private, 147110, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 48, United-States, >50K +54, Self-emp-inc, 175339, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Private, 234901, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K +18, ?, 298133, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 217083, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +30, Private, 97757, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K +30, Private, 151868, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 25864, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K +26, Private, 109419, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +37, Federal-gov, 203070, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K +32, Private, 107843, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 50, United-States, >50K +64, State-gov, 264544, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 5, United-States, >50K +18, Private, 148644, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K +30, Private, 125762, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K +36, ?, 53606, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 3908, 0, 8, United-States, <=50K +18, Private, 193741, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K +27, Private, 588905, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 115613, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, State-gov, 222374, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 43, United-States, >50K +37, Private, 185359, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 173647, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 31166, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, Other, Female, 0, 0, 30, Germany, <=50K +22, ?, 517995, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +25, Self-emp-not-inc, 189027, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +38, Private, 296125, HS-grad, 9, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +32, ?, 640383, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 334291, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +56, Private, 318450, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 80, United-States, >50K +29, Private, 174163, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 119721, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 142719, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 162593, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 236852, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Local-gov, 154863, HS-grad, 9, Never-married, Protective-serv, Other-relative, Black, Male, 0, 1876, 40, United-States, <=50K +39, Private, 168894, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +42, Self-emp-not-inc, 344920, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 50, United-States, <=50K +39, Private, 33355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 48, United-States, >50K +68, ?, 196782, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +37, Self-emp-inc, 291518, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 55, United-States, >50K +57, Private, 170244, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 369549, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +24, Private, 23438, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, >50K +19, Private, 202673, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 171780, Assoc-acdm, 12, Divorced, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +37, Local-gov, 264503, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 244341, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 209109, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 187392, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, State-gov, 119578, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +51, Private, 195105, HS-grad, 9, Divorced, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 101752, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, <=50K +74, ?, 95825, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K +49, Self-emp-inc, 362654, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +20, ?, 29810, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Federal-gov, 77332, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +80, Private, 87518, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1816, 60, United-States, <=50K +63, Private, 113324, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 96299, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 45, United-States, >50K +51, Private, 237729, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 200973, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 212456, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +33, Self-emp-not-inc, 131568, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 66, United-States, <=50K +49, Private, 185859, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K +20, Private, 231981, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +33, Self-emp-inc, 117963, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 60, United-States, >50K +26, Private, 78172, Some-college, 10, Married-AF-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 164135, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 171216, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +47, Private, 140664, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 249277, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 75, United-States, <=50K +53, Federal-gov, 117847, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 52372, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +26, Federal-gov, 95806, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +53, Private, 137428, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +65, Private, 169047, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +68, Private, 339168, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +30, Private, 504725, 10th, 6, Never-married, Sales, Other-relative, White, Male, 0, 0, 18, Guatemala, <=50K +28, Private, 132870, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +54, Local-gov, 135840, 10th, 6, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 35644, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +22, Private, 198148, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 220098, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 262515, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +19, ?, 423863, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +32, Federal-gov, 111567, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 194096, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 420917, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 197871, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K +46, Local-gov, 253116, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 206535, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +26, State-gov, 70447, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +46, Private, 201217, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 209970, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 196745, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 594, 0, 16, United-States, <=50K +29, Local-gov, 175262, Masters, 14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +51, Self-emp-inc, 304955, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Private, 181265, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K +24, Private, 200973, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Self-emp-not-inc, 37440, Bachelors, 13, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 395170, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 24, Mexico, <=50K +54, ?, 32385, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +34, Private, 353213, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 38619, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 66, United-States, <=50K +21, Private, 177711, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 190761, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +23, Private, 27776, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 24, United-States, <=50K +37, Federal-gov, 470663, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 71738, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K +57, Private, 74156, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +48, Private, 202467, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 40, United-States, >50K +24, Private, 123983, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +43, Private, 193494, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, ?, 169886, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, ?, <=50K +40, Private, 130571, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-inc, 90363, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K +49, Private, 83444, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 239093, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 3137, 0, 40, United-States, <=50K +62, Local-gov, 151369, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 56630, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 117095, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Federal-gov, 189985, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +20, ?, 34862, Some-college, 10, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 72, United-States, <=50K +37, Self-emp-inc, 126675, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 199806, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 57596, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 103459, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +28, Private, 282398, Some-college, 10, Separated, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, >50K +38, Private, 298841, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +45, Private, 33300, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K +22, ?, 306031, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 306467, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +20, Private, 189888, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 83861, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 117393, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 129934, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +51, Private, 179010, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +31, Private, 375680, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +48, Private, 316101, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 293305, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K +51, Local-gov, 175750, HS-grad, 9, Divorced, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 121718, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1848, 48, United-States, >50K +62, ?, 94931, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 40, United-States, <=50K +50, State-gov, 229272, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +46, Private, 142828, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +54, Private, 22743, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 60, United-States, >50K +68, Private, 76371, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K +23, Self-emp-not-inc, 216129, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +49, Private, 107425, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 611029, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Local-gov, 363032, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 170020, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 45, United-States, <=50K +34, Private, 137900, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +22, Private, 322674, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 23778, 7th-8th, 4, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 147845, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 31, United-States, <=50K +36, Private, 175759, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-inc, 166459, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 128212, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, >50K +54, Federal-gov, 127455, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K +63, Private, 134699, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +51, Private, 254230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +63, Self-emp-not-inc, 159715, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 116286, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +27, Private, 146719, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +35, Private, 361888, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +31, ?, 26553, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, >50K +46, Self-emp-not-inc, 32825, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 225768, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +26, Federal-gov, 393728, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K +43, Private, 160369, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 191807, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +50, Federal-gov, 176969, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K +54, Federal-gov, 33863, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +62, ?, 182687, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 45, United-States, >50K +57, State-gov, 141459, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, ?, 174233, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 24, United-States, <=50K +29, Local-gov, 95393, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +20, Private, 221095, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +53, Private, 104501, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K +18, ?, 437851, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, ?, 131230, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 495888, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K +69, Private, 185691, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K +56, Private, 201822, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2002, 40, United-States, <=50K +53, Local-gov, 549341, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, <=50K +28, Private, 247445, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 199566, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-inc, 139057, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 84, Taiwan, >50K +48, Private, 185039, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +61, Private, 166124, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 82649, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 45, United-States, <=50K +48, Private, 109275, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 408328, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 186338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +27, ?, 130856, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 251579, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, United-States, <=50K +47, Private, 76612, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 22546, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K +72, Private, 53684, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 183627, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 73203, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 108426, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 48, England, <=50K +50, Private, 116287, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, Columbia, <=50K +45, Self-emp-inc, 145697, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +52, Private, 326156, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +53, Private, 201127, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +36, Private, 250791, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K +46, Private, 328216, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 400443, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +75, Private, 95985, 5th-6th, 3, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 10, United-States, <=50K +32, Local-gov, 127651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 250679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 103950, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 200199, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +46, State-gov, 295791, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +39, Private, 191841, Assoc-acdm, 12, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +38, Private, 82622, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 160728, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K +63, Local-gov, 109849, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 21, United-States, <=50K +28, Private, 339897, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, Mexico, <=50K +28, ?, 37215, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K +49, Private, 371299, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +43, Private, 421837, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +38, Private, 29702, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Private, 117381, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 62, England, <=50K +42, ?, 240027, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 338740, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, ?, 28359, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +29, ?, 315026, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Federal-gov, 314525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1741, 45, United-States, <=50K +30, Private, 173005, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Private, 286750, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 163985, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K +30, Private, 219318, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 35, Puerto-Rico, <=50K +42, Private, 44121, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K +52, Self-emp-not-inc, 103794, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +42, Private, 310632, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +39, Private, 153976, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K +43, Private, 174575, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +62, Self-emp-not-inc, 82388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 10566, 0, 40, United-States, <=50K +30, Private, 207253, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, <=50K +83, ?, 251951, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +39, Private, 746786, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +41, Private, 308296, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 20, United-States, <=50K +49, Private, 101825, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 40, United-States, >50K +25, Private, 109009, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 413363, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 40, United-States, <=50K +59, ?, 117751, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K +44, State-gov, 296326, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 208358, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 4650, 0, 56, United-States, <=50K +40, Private, 120277, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Ireland, <=50K +21, Private, 193219, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, Jamaica, <=50K +41, Private, 86399, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +24, Private, 215251, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +67, Self-emp-not-inc, 124470, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 228649, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K +50, Self-emp-not-inc, 386397, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +48, Private, 96798, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +55, ?, 106707, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 20, United-States, >50K +29, Private, 159768, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 40, Ecuador, <=50K +50, Private, 139464, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, Ireland, <=50K +64, State-gov, 550848, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 68505, 9th, 5, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 37, United-States, <=50K +20, Private, 122215, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 52, United-States, <=50K +30, Private, 159442, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 80638, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, China, <=50K +52, Private, 192390, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 191324, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 25, United-States, <=50K +77, ?, 147284, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K +19, State-gov, 73009, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K +52, Private, 177858, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 55, United-States, >50K +42, Private, 163003, Bachelors, 13, Married-spouse-absent, Tech-support, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +35, Private, 95551, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +27, Private, 125298, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +54, State-gov, 198186, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +37, Private, 295949, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 40, United-States, <=50K +37, Private, 182668, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +28, Private, 124905, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +63, Private, 171635, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 376240, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 42, United-States, <=50K +28, Private, 157391, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, ?, 114357, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 178134, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +31, Private, 207201, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 124483, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, ?, >50K +64, Private, 102103, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +40, Private, 92036, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Local-gov, 236426, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +22, Private, 400966, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 404573, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +35, Private, 227571, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +20, Private, 145917, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +35, Local-gov, 190226, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 356555, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +28, Private, 66473, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, ?, 172256, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +72, ?, 118902, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 2392, 6, United-States, >50K +25, Self-emp-inc, 163039, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 89559, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, ?, 35507, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K +31, Private, 163303, Assoc-voc, 11, Divorced, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K +41, Private, 192712, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 381153, 10th, 6, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 222434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 34706, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 47, United-States, <=50K +57, Self-emp-not-inc, 47857, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 195216, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +44, Self-emp-inc, 103643, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 60, Greece, <=50K +29, Local-gov, 329426, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 183612, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K +40, Private, 184105, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 211385, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 35, Jamaica, <=50K +21, Private, 61777, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +34, Self-emp-not-inc, 320194, Prof-school, 15, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 48, United-States, >50K +24, Private, 199444, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 15, United-States, <=50K +28, Private, 312588, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 168675, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 87556, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, State-gov, 220421, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Federal-gov, 404599, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +39, Private, 99065, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, Poland, >50K +57, Local-gov, 109973, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 246652, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 57423, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +23, Private, 291248, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +50, Private, 163708, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 240358, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +28, Private, 25955, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +44, Private, 101593, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, Self-emp-not-inc, 227890, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +31, Private, 225053, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 228472, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +34, Private, 245378, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +50, Self-emp-inc, 156623, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7688, 0, 50, Philippines, >50K +27, Private, 35032, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 258849, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 190115, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 63910, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +40, Private, 510072, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +28, Private, 210867, 11th, 7, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 263024, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 306785, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 104333, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +66, Private, 340734, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 288585, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K +38, Private, 241765, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +25, Private, 111058, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 104662, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 22, United-States, <=50K +90, Private, 313986, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 52037, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, ?, 146589, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 131776, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 914, 0, 40, Germany, <=50K +33, Private, 254221, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 152909, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K +39, Self-emp-not-inc, 211785, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +59, Private, 160362, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 387215, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 1719, 16, United-States, <=50K +39, Private, 187046, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 38, United-States, <=50K +19, ?, 208874, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 169631, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 202956, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 80467, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +28, Private, 407672, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 243425, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 50, Peru, <=50K +50, ?, 174964, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 99, United-States, <=50K +36, Private, 347491, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 146161, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 449432, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 175499, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +33, Private, 288825, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2258, 84, United-States, <=50K +27, Local-gov, 134813, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 52, United-States, <=50K +31, Local-gov, 190401, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 260617, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 36, United-States, <=50K +31, Private, 45604, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, <=50K +59, Private, 67841, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Local-gov, 244522, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 48, United-States, >50K +19, Private, 430471, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 194698, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 94235, Bachelors, 13, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 188330, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 78, United-States, <=50K +51, Local-gov, 146181, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 177125, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +30, Self-emp-inc, 68330, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 95636, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 238329, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +52, Private, 416129, Preschool, 1, Married-civ-spouse, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K +23, Private, 285004, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, <=50K +90, ?, 256514, Bachelors, 13, Widowed, ?, Other-relative, White, Female, 991, 0, 10, United-States, <=50K +25, Private, 186294, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +43, Private, 188786, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +38, State-gov, 31352, Some-college, 10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K +22, Private, 197613, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +33, Local-gov, 161942, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 1055, 0, 40, United-States, <=50K +34, Private, 275438, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K +65, Private, 361721, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +50, Private, 144968, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 15, United-States, <=50K +29, Private, 190539, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 6849, 0, 48, United-States, <=50K +25, Private, 178037, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 306985, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 87928, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 242619, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 154165, 9th, 5, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 511331, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +65, Local-gov, 221026, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +56, Self-emp-not-inc, 222182, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, <=50K +39, Self-emp-not-inc, 126569, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K +23, Private, 202344, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 190423, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +24, Private, 238917, 5th-6th, 3, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K +41, Private, 221947, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K +40, Self-emp-inc, 37997, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 147098, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Private, 278253, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +23, Private, 195411, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 76196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 120131, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K +20, Self-emp-not-inc, 186014, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, Germany, <=50K +29, Private, 205903, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 125405, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 219838, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, State-gov, 19395, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +31, Private, 223327, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 114062, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 95654, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, Iran, >50K +38, Private, 177305, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +66, ?, 299616, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Self-emp-not-inc, 117681, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 237651, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +33, State-gov, 150570, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, State-gov, 106705, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 50, United-States, <=50K +20, ?, 174714, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +47, Self-emp-inc, 175958, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 60, United-States, <=50K +33, Private, 144064, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +66, ?, 107112, 7th-8th, 4, Never-married, ?, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K +20, Private, 54152, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, ?, <=50K +28, Private, 152951, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 190487, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 28, Ecuador, <=50K +25, Private, 306666, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 45, United-States, <=50K +37, Private, 195148, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 3137, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 226624, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +49, Private, 157569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, State-gov, 22966, Some-college, 10, Married-spouse-absent, Tech-support, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +52, Private, 379682, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, >50K +29, Private, 446559, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K +18, Private, 41794, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +31, Local-gov, 90409, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +23, Private, 125491, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Vietnam, <=50K +27, ?, 129661, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K +54, Self-emp-not-inc, 104748, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K +50, Local-gov, 169182, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 49, Dominican-Republic, <=50K +46, Private, 324655, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, ?, >50K +24, Private, 122272, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K +17, ?, 114798, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 18, United-States, <=50K +49, Self-emp-inc, 289707, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +54, Local-gov, 137691, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 84610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K +49, Private, 166789, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 348728, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +23, Private, 348092, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, Haiti, <=50K +63, Private, 154526, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +67, Private, 288371, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Canada, >50K +23, Private, 182342, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 244366, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 102423, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K +25, Private, 259688, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 98733, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +35, Private, 174856, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2885, 0, 40, United-States, <=50K +67, Self-emp-not-inc, 141797, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 327202, 12th, 8, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 76996, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +34, Private, 260560, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 370990, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 129010, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K +21, Private, 452640, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +76, Self-emp-inc, 120796, 9th, 5, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Federal-gov, 45334, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 70, ?, <=50K +26, Private, 229523, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 56, United-States, <=50K +18, Private, 127388, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +18, ?, 395567, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 119422, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1672, 50, United-States, <=50K +59, Private, 193895, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 163083, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K +33, Self-emp-not-inc, 155343, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K +25, Private, 73895, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +48, Private, 107682, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +64, Private, 321166, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K +47, Local-gov, 154940, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +26, Private, 103700, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 63509, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K +21, Private, 243842, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, ?, 187221, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +30, Private, 58597, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 44, United-States, <=50K +41, Self-emp-not-inc, 190290, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, ?, 158352, Masters, 14, Never-married, ?, Not-in-family, White, Female, 8614, 0, 35, United-States, >50K +34, Private, 62165, Some-college, 10, Never-married, Sales, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K +20, ?, 307149, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 280134, 10th, 6, Never-married, Sales, Not-in-family, White, Male, 0, 0, 49, El-Salvador, <=50K +26, Private, 118736, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +25, Private, 171114, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +35, Private, 169638, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +41, Private, 125461, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +33, Private, 145434, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 152182, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +27, Self-emp-inc, 233724, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +32, Private, 153963, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +51, Local-gov, 88120, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 96330, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +41, Local-gov, 66118, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 25, United-States, <=50K +26, Private, 182178, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 53628, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +54, Private, 174865, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +30, Private, 66194, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, Outlying-US(Guam-USVI-etc), <=50K +31, Private, 73796, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +26, State-gov, 28366, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +75, Self-emp-not-inc, 231741, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4931, 0, 3, United-States, <=50K +29, Private, 237865, Masters, 14, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +61, Private, 195453, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 116934, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +22, ?, 87867, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +34, Private, 456399, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 263608, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 263498, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 183765, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, <=50K +27, Federal-gov, 469705, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 1980, 40, United-States, <=50K +39, Local-gov, 113253, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +20, Private, 138768, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 302146, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +68, Private, 253866, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +28, Federal-gov, 214858, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K +43, Private, 243476, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 169104, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 103218, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 57233, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 228320, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +20, Private, 217421, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 185041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, >50K +27, Self-emp-not-inc, 37302, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 70, United-States, >50K +32, Private, 261059, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 59767, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 333541, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +20, Private, 133352, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +36, Private, 99270, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 204629, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 34104, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 55, United-States, >50K +32, Private, 312667, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +49, Private, 329603, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +36, Private, 281021, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 275385, Some-college, 10, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +52, Federal-gov, 129177, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 385591, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +22, ?, 201179, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +72, Private, 38360, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 16, United-States, <=50K +30, Local-gov, 73796, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 67671, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 257621, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +22, Private, 180052, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +59, Private, 656036, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +46, Private, 215943, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 488720, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +64, Federal-gov, 199298, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, Puerto-Rico, <=50K +31, Private, 305692, Some-college, 10, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K +64, Private, 114994, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +45, Private, 88265, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 168569, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K +32, Private, 175413, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K +43, Private, 161226, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +66, ?, 160995, 10th, 6, Divorced, ?, Not-in-family, White, Female, 1086, 0, 20, United-States, <=50K +23, Private, 208598, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +49, Self-emp-not-inc, 200471, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 256609, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +49, Private, 176684, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 206512, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 212640, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 85, United-States, <=50K +47, Private, 148724, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 266510, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 240252, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 358975, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +20, ?, 124242, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 434710, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +25, Private, 204338, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 30, ?, <=50K +46, Private, 241844, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 191342, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K +41, Private, 221947, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K +44, Private, 111483, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 1504, 50, United-States, <=50K +30, Private, 65278, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 133403, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 166416, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K +58, ?, 142158, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +21, Private, 221480, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 25, Ecuador, <=50K +35, Self-emp-not-inc, 189878, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 278403, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K +19, Private, 184710, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +48, Private, 177775, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, ?, 275943, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K +65, Self-emp-not-inc, 225473, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +40, Private, 289403, Bachelors, 13, Separated, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K +26, Private, 269060, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 449354, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 214413, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 80058, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 202027, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K +22, Self-emp-not-inc, 123440, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +37, Private, 191524, Assoc-voc, 11, Separated, Prof-specialty, Own-child, White, Female, 0, 0, 38, United-States, <=50K +25, Private, 308144, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +64, Private, 164204, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 53, ?, <=50K +46, Private, 205100, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +30, Private, 195750, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 27, United-States, <=50K +63, Private, 149756, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +51, Local-gov, 240358, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +68, Self-emp-not-inc, 241174, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K +36, Private, 356838, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Canada, <=50K +28, Self-emp-inc, 115705, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +41, Local-gov, 137142, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 296066, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 401335, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +33, ?, 182771, Bachelors, 13, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 80, Philippines, <=50K +34, Self-emp-inc, 186824, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +46, Federal-gov, 162187, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 98010, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 172538, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K +18, Private, 80163, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +33, Local-gov, 43959, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +51, Private, 162632, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K +56, Self-emp-not-inc, 115422, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +54, Private, 100933, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 270379, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 20109, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 84, United-States, <=50K +53, Private, 114758, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K +22, Private, 100345, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +33, Private, 184901, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 87239, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +63, Private, 127363, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 12, United-States, <=50K +53, Federal-gov, 199720, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, Germany, >50K +37, Private, 143058, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Federal-gov, 36489, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 141698, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Federal-gov, 26358, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 195532, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K +21, Private, 30039, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 125159, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K +20, Private, 246250, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 77370, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 355569, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +32, Private, 180603, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 201785, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 256211, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +27, Private, 146764, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +22, ?, 211968, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, Iran, <=50K +29, Private, 200515, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K +29, Private, 52636, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 27049, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K +35, Private, 111128, 10th, 6, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 348038, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, Puerto-Rico, >50K +33, Private, 93930, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +67, Private, 397831, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1539, 40, United-States, <=50K +46, Private, 33794, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, <=50K +45, Private, 178215, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K +17, Local-gov, 191910, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +35, Private, 340110, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 70, United-States, >50K +48, Self-emp-not-inc, 133694, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, Jamaica, >50K +49, Private, 148398, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 133515, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 181667, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 46, Canada, <=50K +64, Private, 159715, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +53, Federal-gov, 174040, Some-college, 10, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 117700, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 37215, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +32, Self-emp-inc, 46807, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K +48, Self-emp-not-inc, 317360, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K +30, Private, 425627, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +34, Private, 82623, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +19, ?, 63574, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 140854, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 185061, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 160118, 12th, 8, Never-married, Sales, Not-in-family, White, Female, 0, 0, 10, ?, <=50K +54, Private, 282680, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +24, Private, 137591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 1762, 40, United-States, <=50K +25, Private, 198163, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 132749, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 12, United-States, <=50K +48, Local-gov, 31264, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 5178, 0, 40, United-States, >50K +24, Private, 399449, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 27494, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, <=50K +47, Private, 368561, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 102096, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K +19, Private, 406078, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +52, Self-emp-inc, 100506, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +52, Private, 29658, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 20469, HS-grad, 9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 12, South, <=50K +60, Private, 181953, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 28, United-States, <=50K +43, Private, 304175, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 170070, Assoc-acdm, 12, Divorced, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +20, ?, 193416, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 194908, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 357962, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 214716, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +40, Self-emp-inc, 207578, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +54, Private, 146409, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 341643, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +52, Private, 131631, 11th, 7, Separated, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +53, Private, 88842, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K +56, ?, 128900, Some-college, 10, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 417136, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 336763, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 880, 42, United-States, <=50K +29, Private, 209301, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K +29, Private, 120986, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K +27, Private, 51025, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 218281, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K +64, Private, 114994, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 18, United-States, <=50K +53, Private, 335481, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 32, United-States, <=50K +21, Private, 174503, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +40, Self-emp-not-inc, 230478, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +52, State-gov, 149650, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K +38, Private, 149419, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +40, ?, 341539, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +39, Private, 185099, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, ?, 132930, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +68, Private, 128472, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +24, Private, 124971, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +40, Self-emp-inc, 344060, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +43, Self-emp-inc, 286750, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 99, United-States, >50K +38, Private, 296999, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +45, Private, 123681, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 232024, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 55, United-States, <=50K +57, Local-gov, 52267, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Private, 119182, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +25, Private, 191230, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Yugoslavia, <=50K +52, Federal-gov, 23780, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 184553, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +26, Self-emp-inc, 242651, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +19, Private, 246226, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Self-emp-inc, 86745, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +25, Private, 106889, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K +21, Private, 460835, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +48, Self-emp-not-inc, 213140, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K +33, State-gov, 37070, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Canada, <=50K +31, State-gov, 93589, HS-grad, 9, Divorced, Protective-serv, Own-child, Other, Male, 0, 0, 40, United-States, <=50K +26, Self-emp-not-inc, 213258, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 65, United-States, <=50K +37, State-gov, 46814, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +29, ?, 168873, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +20, Private, 284737, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +28, Private, 309620, Some-college, 10, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 60, ?, <=50K +49, Private, 197418, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +73, ?, 132737, 10th, 6, Never-married, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K +49, Private, 185041, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +51, Private, 159604, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +40, Private, 123557, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 275421, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 167147, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K +41, Private, 197583, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K +46, Private, 175109, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 40, United-States, >50K +46, Private, 117502, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +64, Private, 180401, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Self-emp-not-inc, 146603, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +53, State-gov, 143822, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K +21, Private, 51985, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, State-gov, 48121, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K +37, Private, 234807, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 7430, 0, 45, United-States, >50K +39, Federal-gov, 65324, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +30, Private, 302149, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +25, Private, 168403, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K +26, Private, 159897, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 416338, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +59, Private, 370615, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +27, Private, 219371, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Jamaica, <=50K +55, Private, 120970, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +20, Private, 22966, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, Canada, <=50K +25, Private, 34541, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, Canada, <=50K +28, Private, 191027, Assoc-acdm, 12, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 107458, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 121832, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Local-gov, 233825, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K +25, Private, 73839, 11th, 7, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 109165, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +50, State-gov, 103063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 29762, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 5013, 0, 70, United-States, <=50K +46, Private, 111979, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K +35, Private, 150125, Assoc-voc, 11, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +21, ?, 301853, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, ?, 296738, 11th, 7, Separated, ?, Not-in-family, White, Female, 6849, 0, 60, United-States, <=50K +40, Private, 118001, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +49, Private, 149337, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 36601, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +43, Local-gov, 118600, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 625, 40, United-States, <=50K +39, Private, 279272, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K +35, Private, 181020, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K +52, Private, 165998, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 218136, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K +20, Self-emp-inc, 182200, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K +46, Private, 39363, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 10, ?, <=50K +24, Private, 140001, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 193260, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, India, <=50K +21, Private, 191243, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Federal-gov, 207887, Bachelors, 13, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 50, United-States, <=50K +43, Federal-gov, 211450, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 184759, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K +47, Private, 197836, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +61, Private, 232308, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +21, ?, 189888, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +35, Private, 301614, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K +60, Private, 146674, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 225291, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Local-gov, 148509, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 35, India, <=50K +56, Private, 136413, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 126060, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 73064, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 35, United-States, <=50K +19, Private, 39026, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +28, Self-emp-not-inc, 33035, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +43, Private, 193494, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Local-gov, 147440, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +22, ?, 153131, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 64671, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +35, Self-emp-not-inc, 225399, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 8614, 0, 40, United-States, >50K +20, Private, 174391, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 377757, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K +30, Local-gov, 364310, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, Germany, <=50K +31, Private, 110643, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 70240, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 24, Philippines, <=50K +57, State-gov, 32694, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Private, 95047, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 44, United-States, >50K +33, Private, 264936, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 367329, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 56026, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +22, Private, 186452, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +50, Private, 125417, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 242082, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +37, Private, 31023, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 51, United-States, <=50K +40, ?, 397346, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 424079, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +38, Self-emp-not-inc, 108947, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 40, United-States, >50K +25, State-gov, 261979, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 55507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +22, ?, 291407, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +18, Private, 353358, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +41, Private, 67339, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7688, 0, 40, United-States, >50K +33, Private, 235109, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 208180, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +67, State-gov, 423561, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 145290, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K +24, Private, 403671, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Local-gov, 49325, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 370494, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +25, Private, 267012, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 191856, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 80445, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 379798, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Local-gov, 168387, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 301948, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 34095, 0, 3, United-States, <=50K +36, Private, 274809, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +58, Private, 233193, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K +34, Private, 299635, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +19, Private, 236396, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 688355, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-inc, 37019, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 148015, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 15024, 0, 40, United-States, >50K +43, Private, 122975, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 21, Trinadad&Tobago, <=50K +52, State-gov, 349795, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 229846, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, ?, <=50K +43, Private, 108945, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +22, Private, 237498, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 188872, 5th-6th, 3, Divorced, Transport-moving, Unmarried, White, Male, 6497, 0, 40, United-States, <=50K +37, Private, 324019, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 82488, Some-college, 10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 38, United-States, <=50K +54, Private, 206964, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 37088, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 152540, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +65, Private, 143554, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +30, Private, 126242, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 127185, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 164018, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 50, United-States, <=50K +25, Private, 210184, 11th, 7, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, ?, 117528, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K +47, Private, 124973, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +23, Private, 182117, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 220049, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K +39, Self-emp-not-inc, 247975, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K +55, Private, 50164, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +24, State-gov, 123160, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, China, <=50K +46, Self-emp-inc, 219962, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, ?, >50K +53, Private, 79324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 129100, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K +40, Private, 210275, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 189462, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +26, Private, 171114, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +22, Private, 201799, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, ?, 200426, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 12, United-States, <=50K +20, ?, 24395, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +43, Private, 191149, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Local-gov, 34173, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K +30, Private, 350979, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K +41, Private, 147314, HS-grad, 9, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K +38, Private, 136081, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +77, ?, 232894, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 373403, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 120601, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 130926, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K +32, Federal-gov, 72338, Assoc-voc, 11, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +27, Private, 129624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, State-gov, 328697, Some-college, 10, Divorced, Protective-serv, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 191196, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 191117, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +49, Private, 110243, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +17, Private, 181580, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +29, Private, 89030, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 345493, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 55, Taiwan, >50K +24, Self-emp-not-inc, 277700, Some-college, 10, Separated, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K +58, ?, 198478, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K +29, Private, 250679, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 168837, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 24, Canada, >50K +30, Private, 142675, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 299050, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +59, Private, 107833, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1485, 40, United-States, >50K +47, Private, 121958, 7th-8th, 4, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +41, Private, 282948, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 3137, 0, 40, United-States, <=50K +28, Private, 176683, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, France, <=50K +46, Private, 34377, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 209833, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +66, State-gov, 41506, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +30, Local-gov, 125159, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 14084, 0, 45, ?, >50K +44, Self-emp-not-inc, 147206, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 12, United-States, <=50K +58, Self-emp-not-inc, 93664, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +21, Private, 315065, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 48, Mexico, <=50K +59, Private, 381851, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +35, Local-gov, 185769, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 186272, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 5178, 0, 40, United-States, >50K +30, Private, 312667, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 343925, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K +26, Private, 195994, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +48, Private, 398843, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +31, Private, 73514, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +36, Private, 288049, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +48, Private, 54759, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +30, Private, 155343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +33, Private, 401104, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K +19, ?, 124884, 9th, 5, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +37, Local-gov, 287306, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 99999, 0, 40, ?, >50K +53, Private, 113995, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +18, Private, 146378, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, ?, <=50K +38, Private, 111499, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K +34, Private, 34374, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 162187, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K +33, Local-gov, 147654, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +35, Private, 182467, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 44, United-States, <=50K +22, Private, 183970, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 332588, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +45, Private, 26781, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 8, United-States, <=50K +17, Private, 48610, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K +50, Private, 162632, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Local-gov, 91711, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 198003, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K +46, Private, 179048, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, ?, <=50K +25, Private, 262778, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 6849, 0, 50, United-States, <=50K +64, Private, 102470, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 123170, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K +32, Private, 164243, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K +17, Private, 262511, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +61, Private, 51170, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +40, State-gov, 91949, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 123727, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 173175, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +35, Self-emp-not-inc, 120301, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 250967, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Federal-gov, 285432, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 36235, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, ?, 317219, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K +51, Local-gov, 110965, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 123283, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K +20, ?, 249087, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 152940, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 376680, HS-grad, 9, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +56, Private, 231232, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, Canada, <=50K +55, Self-emp-not-inc, 168625, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 12, United-States, >50K +26, Private, 33939, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K +46, Private, 155659, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K +32, Local-gov, 190228, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 216178, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 587310, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Guatemala, <=50K +23, Private, 155919, 9th, 5, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +59, Private, 227386, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 138152, 12th, 8, Never-married, Craft-repair, Other-relative, Other, Male, 0, 0, 48, Guatemala, <=50K +36, Private, 167482, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 57957, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +33, Private, 157747, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +60, Self-emp-not-inc, 88570, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 15, Germany, >50K +40, Private, 273308, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 48, Mexico, <=50K +48, Private, 216292, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 43, United-States, <=50K +27, Self-emp-not-inc, 131298, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +19, Private, 386378, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +38, Private, 179668, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 210812, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +45, Federal-gov, 311671, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K +20, Private, 215247, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +32, Federal-gov, 125856, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 74631, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 13, United-States, <=50K +22, Private, 24008, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, State-gov, 354591, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 114, 0, 38, United-States, <=50K +34, Private, 155343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 50, United-States, >50K +46, Private, 308334, 1st-4th, 2, Widowed, Other-service, Unmarried, Other, Female, 0, 0, 30, Mexico, <=50K +39, Private, 245361, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +79, Self-emp-not-inc, 158319, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +60, ?, 204486, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K +24, Private, 314823, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, Dominican-Republic, <=50K +31, Private, 211334, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 65, United-States, <=50K +37, Self-emp-not-inc, 73199, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 3137, 0, 77, Vietnam, <=50K +23, Private, 126550, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 260782, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 45, El-Salvador, <=50K +29, Private, 114224, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +22, State-gov, 64292, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 43, United-States, <=50K +69, ?, 628797, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +55, Local-gov, 219775, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +43, Private, 212894, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 260019, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, Other, Male, 0, 0, 36, Mexico, <=50K +29, Private, 228075, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K +22, Private, 239806, Assoc-voc, 11, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +22, Private, 324637, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +25, Private, 163620, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 84, United-States, >50K +29, Private, 194200, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K +25, State-gov, 129200, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +33, Federal-gov, 207172, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 135312, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +31, Private, 100734, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +30, Local-gov, 226443, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 45, United-States, >50K +55, Private, 110871, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 192704, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K +47, ?, 224108, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 78870, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +42, Private, 107762, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Private, 183611, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, Germany, <=50K +62, Local-gov, 249078, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +65, Self-emp-inc, 208452, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K +23, Private, 302195, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, ?, 199947, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K +47, Private, 379118, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K +50, Self-emp-inc, 174855, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +70, ?, 173736, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K +32, Self-emp-not-inc, 39369, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Federal-gov, 196348, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 340917, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 14344, 0, 40, United-States, >50K +76, Private, 97077, 10th, 6, Widowed, Sales, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K +54, Private, 200098, Bachelors, 13, Divorced, Sales, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K +32, Federal-gov, 127651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 315128, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K +31, Federal-gov, 206823, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +65, Self-emp-not-inc, 316093, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1668, 40, United-States, <=50K +30, Private, 112115, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, Ireland, >50K +63, ?, 203821, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 250051, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K +40, Federal-gov, 298635, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Philippines, >50K +26, State-gov, 109193, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 130849, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K +34, Local-gov, 43959, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +66, Local-gov, 222810, Some-college, 10, Divorced, Other-service, Other-relative, White, Female, 7896, 0, 40, ?, >50K +44, Self-emp-not-inc, 27242, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 53158, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 206520, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 164190, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 287988, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +28, ?, 200819, 7th-8th, 4, Divorced, ?, Own-child, White, Male, 0, 0, 84, United-States, <=50K +23, Private, 83891, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +49, Private, 65087, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +39, Self-emp-not-inc, 363418, Bachelors, 13, Separated, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +67, ?, 182378, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 60, United-States, >50K +19, Private, 278870, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K +30, Private, 174789, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 50, United-States, >50K +25, Private, 228608, Some-college, 10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Cambodia, <=50K +24, Private, 184400, HS-grad, 9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, ?, <=50K +46, Private, 263568, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 117381, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Federal-gov, 83411, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 49156, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K +44, Private, 421449, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 238944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 188982, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 20, United-States, >50K +48, Private, 175925, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +34, Private, 164190, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 232914, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 120121, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Local-gov, 180805, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +59, Local-gov, 161944, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +29, Private, 319149, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K +50, ?, 22428, Masters, 14, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 290528, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 123984, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K +48, Private, 34186, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +51, Federal-gov, 282680, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 70, United-States, >50K +36, Private, 183892, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K +42, Local-gov, 195124, 11th, 7, Divorced, Sales, Unmarried, White, Male, 7430, 0, 50, Puerto-Rico, >50K +49, State-gov, 55938, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 209900, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K +40, Private, 179717, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1564, 60, United-States, >50K +26, Private, 150361, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +69, ?, 164102, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +59, Private, 252714, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, Italy, <=50K +30, Private, 205204, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Local-gov, 168906, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 112115, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 116531, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 202994, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 16, United-States, <=50K +56, Private, 191917, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 4101, 0, 40, United-States, <=50K +24, Private, 341294, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 216734, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +51, Private, 182187, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +34, Private, 424988, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 379118, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 9, United-States, <=50K +47, Private, 168232, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, >50K +20, Private, 147171, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +34, Self-emp-inc, 207668, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, ?, >50K +31, Private, 193650, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 200187, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +52, Private, 188644, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +56, Private, 398067, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 29658, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 154966, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +81, Private, 364099, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +28, ?, 291374, 10th, 6, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +57, Federal-gov, 97837, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +34, Private, 117983, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, ?, 345497, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 64167, Assoc-voc, 11, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 315877, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 2001, 40, United-States, <=50K +68, Federal-gov, 232151, Some-college, 10, Divorced, Adm-clerical, Other-relative, Black, Female, 2346, 0, 40, United-States, <=50K +60, Private, 225526, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +37, Federal-gov, 289653, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 179462, 7th-8th, 4, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Federal-gov, 67317, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 77764, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 253438, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +31, Private, 150309, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +47, Self-emp-not-inc, 83064, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +60, Self-emp-not-inc, 376973, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K +75, Private, 311184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K +43, Local-gov, 159449, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 168288, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 74883, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 1092, 40, Philippines, <=50K +20, Private, 275190, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 189838, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +57, Self-emp-inc, 101338, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +43, Private, 331894, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +18, Self-emp-not-inc, 40293, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 88904, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 145041, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Dominican-Republic, <=50K +35, Private, 46385, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 90, United-States, >50K +41, State-gov, 363591, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 183327, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 1594, 20, United-States, <=50K +32, State-gov, 182556, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 45, United-States, >50K +33, Private, 267859, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K +58, Private, 190747, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 162869, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 65, United-States, <=50K +33, Private, 141229, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +42, Self-emp-not-inc, 174216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +25, Private, 366416, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 172538, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +35, Private, 193026, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +50, Private, 184424, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 38, United-States, >50K +49, Local-gov, 337768, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Local-gov, 179059, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Federal-gov, 99549, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 72619, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +42, State-gov, 55764, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +37, Private, 30267, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +25, Private, 308144, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +29, Private, 206351, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +26, Private, 282304, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +26, ?, 176077, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-inc, 142719, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 114973, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +33, Federal-gov, 159548, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 91209, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 196564, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +51, Self-emp-not-inc, 149220, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K +21, Private, 169699, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +23, Private, 218215, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 156718, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 55720, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +38, Self-emp-inc, 257250, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 194630, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 398931, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 50, United-States, >50K +37, Self-emp-not-inc, 362062, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +44, Local-gov, 101593, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 42, United-States, <=50K +33, Private, 196266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Local-gov, 197332, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 97842, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 86837, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, United-States, >50K +17, Private, 57324, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +43, Private, 116852, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 36, Portugal, >50K +45, Private, 154430, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K +37, Private, 38468, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Local-gov, 188808, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Local-gov, 177163, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 914, 0, 50, United-States, <=50K +41, Private, 187322, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +23, Private, 107578, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 2174, 0, 40, United-States, <=50K +38, Private, 168680, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 256755, Bachelors, 13, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, Cuba, <=50K +35, Private, 360799, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +18, Private, 188476, 11th, 7, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 20, United-States, <=50K +47, Private, 30457, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 252752, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +41, Self-emp-not-inc, 443508, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 244408, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 24, Vietnam, <=50K +41, Private, 178983, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 143068, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2407, 0, 50, United-States, <=50K +30, Local-gov, 247328, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 201732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 246829, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, ?, 290267, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K +29, Private, 119170, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 207923, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +48, State-gov, 170142, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +44, Self-emp-not-inc, 187164, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +34, Local-gov, 303867, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 291429, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +32, Private, 213179, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K +31, State-gov, 111843, Assoc-acdm, 12, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 297154, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2407, 0, 40, United-States, <=50K +47, Federal-gov, 68493, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +46, Federal-gov, 340718, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 194059, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 47296, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1740, 20, United-States, <=50K +28, State-gov, 286310, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 207202, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K +33, Self-emp-inc, 132601, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +17, ?, 139183, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K +41, Private, 160785, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 117849, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +38, Local-gov, 225605, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, <=50K +24, Private, 190290, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +49, Private, 164799, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Federal-gov, 21876, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +44, Private, 160785, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +63, Self-emp-inc, 272425, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 168538, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +45, Self-emp-inc, 204205, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Private, 142287, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 50, United-States, >50K +36, Private, 169926, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Local-gov, 205024, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 8, United-States, <=50K +41, Private, 374764, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +25, Private, 108779, Masters, 14, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 293136, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +60, Private, 227332, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Local-gov, 246308, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, Puerto-Rico, <=50K +28, Private, 51331, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 16, United-States, >50K +31, Private, 153078, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, Other, Male, 0, 0, 50, United-States, <=50K +47, Private, 169180, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +45, Self-emp-not-inc, 193451, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +51, Private, 305147, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 138892, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 402397, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 60, United-States, >50K +34, Private, 223267, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 29250, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K +51, ?, 203953, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +46, State-gov, 29696, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 315640, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 40, China, >50K +37, Private, 632613, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, Mexico, <=50K +56, Private, 282023, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Private, 77760, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Self-emp-not-inc, 148599, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +55, Private, 414994, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 339863, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 8614, 0, 48, United-States, >50K +34, Private, 499249, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +45, ?, 144354, 9th, 5, Separated, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 252058, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, ?, 99543, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +34, Private, 117963, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 194652, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 299705, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 37, United-States, <=50K +19, Federal-gov, 27433, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +47, Local-gov, 39986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 135342, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 270142, Assoc-voc, 11, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K +33, Self-emp-not-inc, 118267, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +29, Private, 266043, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 35633, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 74568, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 214816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +43, Private, 222971, 5th-6th, 3, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +31, Private, 259425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Self-emp-inc, 212120, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 245880, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +58, Local-gov, 54947, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +47, Self-emp-inc, 79627, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K +55, Private, 151474, Bachelors, 13, Never-married, Tech-support, Other-relative, White, Female, 0, 1590, 38, United-States, <=50K +26, Private, 132661, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 5013, 0, 40, United-States, <=50K +28, Private, 161674, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 62346, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 227236, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 283033, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +63, Self-emp-not-inc, 298249, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 10605, 0, 40, United-States, >50K +42, Private, 251229, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +76, Private, 199949, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 13, United-States, <=50K +23, State-gov, 305498, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 203836, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, State-gov, 79440, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, Japan, <=50K +48, Local-gov, 142719, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 119859, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +32, Private, 141410, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +44, Local-gov, 202872, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +27, Private, 198813, HS-grad, 9, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +33, Federal-gov, 129707, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 445758, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +18, ?, 30246, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +44, Private, 173981, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 108506, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +34, Private, 134886, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Federal-gov, 181970, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1672, 40, United-States, <=50K +57, Self-emp-inc, 282913, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Cuba, <=50K +59, Local-gov, 196013, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Federal-gov, 348491, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K +52, Private, 416164, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 49, Mexico, <=50K +17, Private, 121037, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +29, Private, 103111, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Canada, <=50K +63, Self-emp-not-inc, 147589, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K +20, Private, 24008, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +42, Self-emp-inc, 123838, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +50, Self-emp-not-inc, 175456, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 84774, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 30, United-States, <=50K +27, Private, 194590, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 25, United-States, <=50K +28, Private, 134566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +55, Private, 211678, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +44, Federal-gov, 44822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, State-gov, 144586, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 119156, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 371987, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, State-gov, 144125, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 31905, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +48, Self-emp-not-inc, 121124, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +46, Private, 58126, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 318518, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 296509, 7th-8th, 4, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K +32, Private, 473133, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 155434, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +52, Private, 99185, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K +39, Private, 56648, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K +57, Local-gov, 118481, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +21, Private, 321666, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 40, United-States, <=50K +22, State-gov, 119838, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +26, Private, 330695, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, State-gov, 58039, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 313022, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +42, Private, 178134, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +40, Private, 165309, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K +22, Private, 216181, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K +62, Private, 178745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +44, Private, 111067, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 163788, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 295591, 1st-4th, 2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +45, Private, 123075, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 78045, 11th, 7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Local-gov, 255004, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 254221, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K +20, Private, 174714, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 15, United-States, <=50K +68, Self-emp-not-inc, 450580, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K +61, Private, 128230, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +48, Private, 192894, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 325390, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 20333, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 7688, 0, 40, United-States, >50K +32, Federal-gov, 128714, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 32, United-States, <=50K +35, Private, 170797, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 269186, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 127671, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 211840, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K +37, Private, 163392, HS-grad, 9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +40, Private, 201495, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 251854, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K +41, Private, 279297, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K +52, Self-emp-not-inc, 195462, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 98, United-States, >50K +33, Private, 170769, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 142443, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Self-emp-not-inc, 182809, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +53, Private, 121441, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +44, Private, 275094, 1st-4th, 2, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +35, Private, 170263, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 172571, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 58, Poland, <=50K +34, Private, 178615, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 279524, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, State-gov, 165201, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, <=50K +65, Local-gov, 323006, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +29, Private, 235168, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +39, Self-emp-inc, 114844, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K +46, Local-gov, 216414, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 34378, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2580, 0, 60, United-States, <=50K +47, State-gov, 80914, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 47, United-States, >50K +62, Private, 73292, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 212165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +90, Private, 52386, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K +33, Private, 205649, Assoc-acdm, 12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +57, Private, 109638, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 45, United-States, <=50K +25, Private, 200408, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 187720, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 236180, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 118693, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 363130, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 18, United-States, <=50K +39, Private, 225544, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Poland, <=50K +59, Federal-gov, 243612, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 160786, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +49, Private, 234320, 7th-8th, 4, Never-married, Prof-specialty, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K +34, Private, 314646, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 124971, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 209184, Bachelors, 13, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K +39, State-gov, 121838, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 265275, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +50, Private, 71417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K +34, Private, 45522, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 250135, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 55, United-States, <=50K +18, Private, 120283, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K +20, Private, 216972, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 116791, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +55, State-gov, 26290, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 38, United-States, <=50K +22, Private, 216134, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 143932, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 217120, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +47, State-gov, 223944, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 185452, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K +57, Local-gov, 44273, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 178983, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 219288, 7th-8th, 4, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 349190, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +49, Self-emp-inc, 158685, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2377, 40, United-States, >50K +41, Federal-gov, 57924, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, State-gov, 270324, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 30, United-States, <=50K +38, Private, 33001, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +58, Private, 204021, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, Canada, <=50K +26, Private, 192506, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +57, Private, 372967, 10th, 6, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 70, Germany, <=50K +28, Private, 273929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1628, 60, United-States, <=50K +42, Private, 195821, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 56179, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 55, United-States, <=50K +17, ?, 127003, 9th, 5, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 124090, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 199600, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +42, Private, 255847, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 48, United-States, >50K +51, Self-emp-not-inc, 218311, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +27, Private, 167336, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K +41, Private, 59938, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +28, Private, 263728, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 278230, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Female, 10520, 0, 30, United-States, >50K +73, ?, 180603, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +49, Private, 43910, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K +47, Private, 190139, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 109001, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, <=50K +42, Local-gov, 159931, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +32, Private, 194987, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +32, Local-gov, 87310, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 41, United-States, <=50K +27, Private, 133937, Masters, 14, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 207064, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 36011, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +41, Federal-gov, 168294, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K +49, Local-gov, 194895, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7298, 0, 40, United-States, >50K +58, Self-emp-not-inc, 49884, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Self-emp-not-inc, 27305, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 40, United-States, >50K +26, Private, 229977, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 64520, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +32, ?, 134886, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 2, United-States, >50K +37, Private, 305379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 202284, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +42, Self-emp-not-inc, 99185, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 159662, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 26, United-States, >50K +67, Private, 197865, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Local-gov, 175149, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +49, Local-gov, 349633, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +36, Private, 135293, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 45, ?, <=50K +18, Private, 242893, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +25, Private, 218667, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 144811, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 146091, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 99999, 0, 36, United-States, >50K +21, Private, 206861, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, ?, <=50K +65, Self-emp-not-inc, 226215, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K +66, Private, 114447, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 124187, 11th, 7, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K +51, Private, 147954, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 3411, 0, 38, United-States, <=50K +27, Self-emp-inc, 64379, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +17, Private, 156501, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +32, Private, 207668, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K +61, ?, 161279, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +38, Private, 225707, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Cuba, >50K +43, Local-gov, 115603, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, State-gov, 506329, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K +63, Private, 275034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 35, United-States, <=50K +76, ?, 172637, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K +42, Private, 56483, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 144778, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +76, Self-emp-not-inc, 33213, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, ?, >50K +41, Local-gov, 297248, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 45, United-States, >50K +17, Private, 137042, 10th, 6, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +30, Self-emp-not-inc, 33308, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 158420, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, Iran, <=50K +22, Private, 41763, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +53, ?, 220640, Bachelors, 13, Divorced, ?, Other-relative, Other, Female, 0, 0, 20, United-States, <=50K +28, Private, 149734, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 52, United-States, <=50K +25, ?, 262245, Assoc-voc, 11, Never-married, ?, Own-child, White, Female, 3418, 0, 40, United-States, <=50K +24, Private, 349691, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 185385, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Self-emp-not-inc, 174463, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 236068, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +63, ?, 445168, Bachelors, 13, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 56, United-States, <=50K +25, Private, 91334, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, <=50K +28, Private, 33895, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +36, Private, 214816, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 229773, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-inc, 166386, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Taiwan, <=50K +44, Private, 266135, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +18, Private, 300379, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K +54, Federal-gov, 392502, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +61, Private, 73809, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 193720, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +43, Private, 316183, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 162944, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 186888, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K +27, ?, 330132, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +24, Private, 192017, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K +20, State-gov, 161978, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +52, Private, 202930, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +57, Local-gov, 323309, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 197332, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +42, Self-emp-inc, 204033, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, ?, <=50K +22, Private, 271274, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 174242, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 209483, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +39, Federal-gov, 99146, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 60, United-States, >50K +52, Self-emp-not-inc, 102346, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K +25, Private, 181666, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 207367, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K +35, State-gov, 82622, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K +50, Private, 202296, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 142182, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K +48, Federal-gov, 94342, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 41493, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K +18, Private, 181712, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +29, Self-emp-not-inc, 164607, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 41496, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +63, Private, 143098, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K +36, Local-gov, 196529, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +24, Private, 157332, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 42, United-States, <=50K +30, Local-gov, 154935, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 223231, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +35, ?, 253860, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 362589, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +28, Private, 94880, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 43, Mexico, <=50K +20, Private, 309580, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 130389, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, Scotland, <=50K +21, Private, 349365, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +27, Private, 376936, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 179557, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 105577, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +51, Private, 224207, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Federal-gov, 47907, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Self-emp-not-inc, 191283, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 20953, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +22, State-gov, 186569, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 12, United-States, <=50K +59, Private, 43221, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +38, Private, 161141, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 203003, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +90, Private, 141758, 9th, 5, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 113322, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 343847, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, >50K +45, Private, 214068, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Private, 116632, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 240160, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 516337, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +23, Self-emp-inc, 284651, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +39, State-gov, 141420, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 42750, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +54, Private, 165278, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 167265, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +44, Private, 139907, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K +31, Self-emp-inc, 236415, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +25, Private, 312966, 9th, 5, Separated, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K +33, Private, 118941, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 32, United-States, >50K +32, Private, 198068, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 373952, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 236111, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 55, United-States, >50K +80, Private, 157778, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +21, Private, 143604, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K +35, Self-emp-not-inc, 319831, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +77, ?, 132728, Masters, 14, Divorced, ?, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 137606, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5013, 0, 40, United-States, <=50K +35, ?, 61343, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 268234, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 100135, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1740, 25, United-States, <=50K +53, Self-emp-not-inc, 34973, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 323790, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +57, Private, 319733, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, >50K +21, ?, 180339, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +19, Private, 125591, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 60772, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K +42, Federal-gov, 74680, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 2001, 60, United-States, <=50K +29, Self-emp-not-inc, 141185, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +38, ?, 204668, Assoc-voc, 11, Separated, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +26, Private, 273792, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 70037, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 3004, 60, ?, >50K +40, Private, 343068, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 177907, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +28, Private, 144063, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Self-emp-not-inc, 257574, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +42, Self-emp-not-inc, 67065, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 183356, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 152940, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +37, Private, 227128, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 45607, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K +49, Private, 155489, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, ?, 230704, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +24, ?, 267955, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 165115, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 49923, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 272240, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 255476, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, Mexico, <=50K +59, Private, 194290, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K +52, Private, 145548, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 175262, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Local-gov, 37306, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +58, Private, 137547, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +53, Private, 276515, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, Cuba, <=50K +23, Private, 174626, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +35, Private, 215310, 11th, 7, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 332355, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 204057, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 391591, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 169092, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, >50K +28, Private, 230743, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 190963, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +74, ?, 204840, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 56, Mexico, <=50K +19, Private, 169853, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 24, United-States, <=50K +28, Private, 212091, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K +31, Private, 202822, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +61, ?, 226989, Some-college, 10, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 140011, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 53, United-States, <=50K +20, ?, 432376, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, Germany, <=50K +35, Private, 90273, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, >50K +23, Private, 224424, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 168943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K +19, Private, 571853, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +30, Private, 156464, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +26, Private, 108542, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +34, Local-gov, 194325, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +49, Private, 114797, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 40135, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2042, 40, United-States, <=50K +38, Private, 204756, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 228190, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 20, United-States, <=50K +33, Private, 163392, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, >50K +54, Private, 138845, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Local-gov, 169853, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Never-worked, 206359, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 224097, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 160786, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 190044, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Local-gov, 145290, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 120268, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 70, United-States, <=50K +17, Private, 327434, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +41, Self-emp-inc, 218302, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +30, Private, 1184622, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, United-States, <=50K +90, Local-gov, 227796, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 60, United-States, >50K +25, Private, 206343, HS-grad, 9, Never-married, Protective-serv, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 36851, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 148550, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 157079, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, ?, >50K +31, Federal-gov, 142470, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 86750, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, <=50K +63, Private, 361631, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +46, Private, 163229, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 179594, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 254773, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 50, United-States, >50K +26, Private, 58065, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 205428, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +20, ?, 41183, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +19, ?, 308064, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +61, Private, 173924, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, >50K +23, State-gov, 142547, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 119704, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 275364, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Male, 7430, 0, 40, Germany, >50K +42, Self-emp-not-inc, 207392, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K +31, Private, 147215, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 21, United-States, <=50K +31, Private, 101562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 55, United-States, <=50K +63, Private, 216413, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +29, State-gov, 188986, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 1590, 64, United-States, <=50K +43, State-gov, 52849, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 304710, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, Vietnam, <=50K +17, Private, 265657, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +23, Self-emp-not-inc, 258298, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 2231, 40, United-States, >50K +35, Private, 360814, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 53260, HS-grad, 9, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 28, United-States, <=50K +50, Self-emp-inc, 127315, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +25, Private, 233777, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, ?, <=50K +26, Local-gov, 197530, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 340940, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 88432, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Private, 183810, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +90, Private, 51744, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K +35, Private, 175614, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K +31, Self-emp-not-inc, 235237, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K +60, Private, 227266, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K +21, Private, 146499, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 1579, 40, United-States, <=50K +71, Local-gov, 337064, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 141003, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +50, Local-gov, 117791, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 172846, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +23, Private, 73514, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +74, Private, 211075, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +67, Private, 197816, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1844, 70, United-States, <=50K +59, Private, 43221, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K +28, Private, 183780, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 40, United-States, <=50K +45, Private, 26781, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +63, Self-emp-not-inc, 271550, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K +39, Private, 250157, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 63, United-States, <=50K +33, State-gov, 913447, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +32, Private, 153078, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +34, Private, 181091, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K +39, Private, 231491, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +29, State-gov, 95423, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K +22, Private, 234663, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 283602, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 13550, 0, 43, United-States, >50K +46, Private, 328669, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K +51, Private, 143741, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K +44, Private, 83508, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 2354, 0, 99, United-States, <=50K +56, State-gov, 81954, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 261375, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 310045, 9th, 5, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 30, China, <=50K +39, Private, 316211, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +45, Federal-gov, 88564, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +37, Private, 61299, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 113364, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, ?, 476573, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +46, Private, 267107, 5th-6th, 3, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 45, Italy, <=50K +35, Private, 48123, 12th, 8, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 50, United-States, <=50K +33, Private, 214635, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K +48, Private, 115585, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 194141, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K +18, ?, 23233, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 89991, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K +35, Private, 101709, HS-grad, 9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K +19, Private, 237455, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K +21, Private, 206492, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, ?, <=50K +56, Private, 28729, 11th, 7, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 153475, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, El-Salvador, <=50K +45, Private, 275517, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 128002, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, <=50K +44, Private, 175485, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 12, United-States, <=50K +55, Private, 189664, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 209808, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 176992, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 154669, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 55, United-States, <=50K +25, Private, 191271, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 375482, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 102953, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 55, United-States, >50K +53, Private, 169182, 10th, 6, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K +47, Private, 184005, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 3325, 0, 45, United-States, <=50K +49, Self-emp-inc, 30751, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 145477, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +31, Private, 91964, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 49249, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 80, United-States, <=50K +19, Private, 218956, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 241306, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, ?, 251572, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 35, Poland, <=50K +23, Private, 319842, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +44, Private, 332401, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K +54, Local-gov, 182388, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K +23, Private, 205939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K +21, Private, 203914, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +19, State-gov, 156294, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K +51, Private, 254211, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, >50K +41, Private, 151504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +61, Private, 85548, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 18, United-States, >50K +19, Self-emp-not-inc, 30800, 10th, 6, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +22, Private, 131230, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 61850, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 227800, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, <=50K +35, Private, 133454, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 104094, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 105422, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 142182, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Private, 336643, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K +62, Self-emp-inc, 200577, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 208703, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Japan, <=50K +55, ?, 193895, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, England, <=50K +25, Private, 272428, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 4416, 0, 42, United-States, <=50K +33, Private, 56701, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 75, United-States, >50K +26, Private, 288592, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 266439, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +53, Federal-gov, 276868, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 131435, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 175127, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +25, Private, 277444, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 63296, Masters, 14, Divorced, Prof-specialty, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 96337, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 221955, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +40, Private, 197923, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 2977, 0, 40, United-States, <=50K +29, Private, 632593, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 205970, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 25, United-States, <=50K +25, Private, 139730, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 80, United-States, >50K +18, Private, 201901, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K +32, State-gov, 230224, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K +27, Private, 113464, 1st-4th, 2, Never-married, Other-service, Own-child, Other, Male, 0, 0, 35, Dominican-Republic, <=50K +48, Private, 94461, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +20, Private, 271379, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +55, Private, 231738, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, England, <=50K +33, Local-gov, 198183, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +21, State-gov, 140764, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K +43, Self-emp-not-inc, 183479, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 165767, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 139364, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +19, Private, 227491, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +25, Private, 222254, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 193494, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, >50K +27, Private, 29261, Assoc-acdm, 12, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 174368, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +69, Private, 108196, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 110622, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +20, ?, 201680, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K +37, Private, 130277, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Local-gov, 98130, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 39, United-States, <=50K +62, ?, 235521, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K +34, State-gov, 595000, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K +31, Self-emp-not-inc, 349148, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +42, State-gov, 117583, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 60, United-States, >50K +26, Private, 164583, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +39, Private, 340091, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 75, United-States, <=50K +25, Private, 49092, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Local-gov, 186884, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 30, United-States, <=50K +44, State-gov, 167265, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +34, State-gov, 34104, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 38, United-States, >50K +21, Self-emp-inc, 265116, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 128378, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, ?, <=50K +33, Private, 158416, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-inc, 169878, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +44, Private, 296728, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Local-gov, 342458, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +21, Local-gov, 38771, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 269300, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K +43, Private, 111483, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K +57, ?, 199114, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +51, Local-gov, 33863, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 132874, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 277024, HS-grad, 9, Separated, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 112160, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 703067, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +58, Private, 127264, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Self-emp-inc, 257200, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 57206, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 201319, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 114079, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +45, Private, 230979, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 292472, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K +64, ?, 286732, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Local-gov, 134444, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, <=50K +30, Private, 172403, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +46, Private, 191357, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 279288, 10th, 6, Never-married, ?, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +60, Private, 389254, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 303867, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +47, Private, 164113, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 40, United-States, >50K +39, Private, 111499, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 266084, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 45, United-States, >50K +27, Private, 61580, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 231348, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 164748, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 205337, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +58, Self-emp-not-inc, 54566, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +45, Private, 34419, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +59, Private, 116442, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 290740, Assoc-acdm, 12, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +27, Private, 255582, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 112517, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, >50K +44, Private, 169397, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 172664, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +27, Private, 329005, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 123253, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +55, Private, 81865, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 173314, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 60, United-States, <=50K +31, Private, 34572, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +57, Self-emp-inc, 159028, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K +30, Private, 149184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +78, ?, 363134, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K +28, Private, 308709, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +30, Self-emp-not-inc, 257295, Some-college, 10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 2258, 40, South, <=50K +29, Private, 168479, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +66, Private, 142501, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 3, United-States, <=50K +60, Private, 338345, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Private, 177675, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 262617, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 2597, 0, 40, United-States, <=50K +24, Private, 200997, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 176683, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +44, Private, 376072, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +34, Local-gov, 177675, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +59, Private, 348430, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 43, United-States, >50K +23, Private, 320451, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 24, United-States, <=50K +23, Private, 38151, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Philippines, <=50K +55, Local-gov, 123382, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +39, Self-emp-inc, 151029, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 484475, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +57, Private, 329792, 7th-8th, 4, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 75, United-States, <=50K +35, Private, 148903, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Local-gov, 301614, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K +47, Private, 176319, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 38, United-States, >50K +53, State-gov, 53197, Doctorate, 16, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 291407, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +35, Private, 204527, Masters, 14, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +44, Private, 476391, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 224964, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +26, Private, 306225, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Poland, <=50K +23, Private, 292023, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 94041, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, Ireland, <=50K +49, Self-emp-inc, 187563, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Private, 176101, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 2174, 0, 60, United-States, <=50K +36, Private, 749105, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +41, ?, 230020, 5th-6th, 3, Married-civ-spouse, ?, Husband, Other, Male, 0, 0, 40, United-States, <=50K +21, Private, 216070, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 46, United-States, >50K +54, Self-emp-not-inc, 105010, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 198203, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +35, Local-gov, 215419, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 120460, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +46, Private, 199316, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +46, Private, 146919, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 174744, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, ?, 189564, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 1, United-States, <=50K +21, Private, 249957, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 146574, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +47, State-gov, 156417, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +42, Private, 236110, 5th-6th, 3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K +19, Private, 63363, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +25, Private, 190107, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 126569, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 176756, 12th, 8, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 115161, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +57, Self-emp-not-inc, 138892, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K +38, Private, 256864, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +48, Private, 265083, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +34, Private, 249948, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K +46, Federal-gov, 31141, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 164190, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, ?, <=50K +45, State-gov, 67544, Masters, 14, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Self-emp-not-inc, 174789, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +35, Private, 199753, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K +62, Private, 122246, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 8614, 0, 39, United-States, >50K +56, ?, 188166, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 96586, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 189590, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 140590, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 33, United-States, <=50K +35, Private, 255702, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K +33, Private, 260782, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, >50K +38, Private, 169926, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K +37, State-gov, 151322, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 192869, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 93604, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 1602, 32, United-States, <=50K +31, Private, 86958, 9th, 5, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +53, Local-gov, 228723, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Other, Male, 0, 0, 40, ?, >50K +33, Private, 192644, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, Puerto-Rico, <=50K +72, Private, 284080, 1st-4th, 2, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +54, Private, 43269, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +30, Private, 190040, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 306108, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +30, Private, 220148, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 50, United-States, >50K +30, Private, 381645, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 216361, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 16, United-States, <=50K +30, Private, 213722, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +35, Private, 112271, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 208277, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 44, United-States, >50K +38, State-gov, 352628, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 129620, 10th, 6, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +32, Private, 249550, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +49, Private, 178749, Masters, 14, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +76, ?, 173542, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K +60, Private, 167670, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +60, Private, 81578, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 160662, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K +41, Private, 163322, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 30, ?, <=50K +24, Private, 152189, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 106176, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 60, United-States, >50K +69, State-gov, 159191, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 810, 38, United-States, <=50K +71, ?, 250263, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 3432, 0, 30, United-States, <=50K +41, Private, 78410, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +32, Private, 131379, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 166929, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 380357, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 79190, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +40, Private, 342164, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +44, Private, 182616, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +63, Private, 339473, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +31, Local-gov, 381153, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 56, United-States, >50K +51, Private, 300816, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +51, Private, 240988, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +23, Private, 149224, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 168216, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +56, Private, 286487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 45, United-States, <=50K +39, Private, 305597, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Self-emp-not-inc, 109766, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +30, Self-emp-not-inc, 188798, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 240170, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, <=50K +31, Private, 459465, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +44, Local-gov, 162506, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +43, Self-emp-not-inc, 145441, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K +37, Federal-gov, 129573, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, ?, >50K +41, Private, 27444, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, >50K +43, Private, 195258, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +47, State-gov, 55272, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Self-emp-not-inc, 164526, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2824, 45, United-States, >50K +46, Private, 27802, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, State-gov, 165289, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 274657, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, Guatemala, <=50K +24, Private, 317175, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Self-emp-inc, 163237, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K +37, Private, 170408, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +28, ?, 55950, Bachelors, 13, Never-married, ?, Own-child, Black, Female, 0, 0, 40, Germany, <=50K +40, Private, 76625, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 366066, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 349368, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 286824, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +32, Private, 373263, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 161978, HS-grad, 9, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 543922, Masters, 14, Divorced, Transport-moving, Not-in-family, White, Male, 14344, 0, 48, United-States, >50K +46, Local-gov, 109089, Prof-school, 15, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 110151, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +26, Private, 34110, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +47, Self-emp-not-inc, 118506, Bachelors, 13, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 117789, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K +34, Self-emp-not-inc, 353881, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +49, Private, 200471, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K +20, Private, 258517, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +28, Private, 190367, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 174704, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 179413, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 329530, 9th, 5, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +31, Private, 273818, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, Mexico, <=50K +46, Private, 256522, 1st-4th, 2, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K +42, Private, 196001, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 282660, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 72630, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 50295, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +20, Private, 203240, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K +56, Self-emp-not-inc, 172618, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +41, Private, 202168, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +61, Private, 176839, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 176140, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, >50K +60, Private, 39952, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2228, 0, 37, United-States, <=50K +33, Private, 292465, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, ?, 161285, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K +48, Private, 355320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Canada, >50K +56, Private, 182460, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 69345, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 55, United-States, >50K +57, Self-emp-not-inc, 102058, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 165804, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 40, United-States, <=50K +46, Private, 318259, Assoc-voc, 11, Divorced, Tech-support, Other-relative, White, Female, 0, 0, 36, United-States, <=50K +21, Private, 117606, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 170718, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 413297, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 190457, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +54, Private, 88278, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +32, Local-gov, 217296, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 4064, 0, 22, United-States, <=50K +62, ?, 97231, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 1, United-States, <=50K +50, Private, 123429, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Federal-gov, 420282, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 498325, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 248533, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 137354, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +42, Private, 272910, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-inc, 206054, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Local-gov, 92141, Assoc-acdm, 12, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 163199, Some-college, 10, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +34, Private, 195860, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 115717, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2051, 40, United-States, <=50K +18, Private, 120029, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +33, Private, 221762, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 342164, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +21, Private, 176356, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 133239, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Federal-gov, 169101, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 159442, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 174461, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K +43, Private, 361280, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 42, China, <=50K +52, State-gov, 447579, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, England, <=50K +27, ?, 308995, Some-college, 10, Divorced, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +61, Private, 248448, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 161141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 212465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Self-emp-inc, 170871, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +43, Local-gov, 233865, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Private, 163052, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 348690, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Federal-gov, 34845, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, Germany, >50K +22, Private, 206861, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 349230, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +20, Private, 130840, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +19, Private, 415354, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 132191, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 202466, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +27, ?, 224421, Some-college, 10, Divorced, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Self-emp-not-inc, 236804, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K +20, Private, 107658, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +47, Private, 102771, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 221403, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 18, United-States, <=50K +76, ?, 211574, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 1, United-States, <=50K +39, Private, 52645, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 276310, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +31, Private, 134613, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 43, United-States, <=50K +44, Private, 215479, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 20, Haiti, <=50K +53, Private, 266529, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 265807, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +45, Self-emp-not-inc, 67716, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 178951, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 241126, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 176544, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +45, Private, 169180, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +37, Self-emp-not-inc, 282461, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +53, Private, 157069, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 99357, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K +38, Self-emp-not-inc, 414991, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, ?, <=50K +65, Self-emp-inc, 338316, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 59612, 10th, 6, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 70, United-States, <=50K +24, Private, 220426, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 115912, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 27032, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K +19, Private, 170720, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +60, Private, 183162, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 192360, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +78, ?, 165694, Masters, 14, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +26, Private, 128553, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +58, Private, 209423, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 38, Cuba, <=50K +37, Self-emp-not-inc, 121510, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +41, Private, 93793, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +30, Private, 133602, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 391329, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +48, Private, 96359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Greece, >50K +22, Private, 203894, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +50, Private, 196193, Masters, 14, Married-spouse-absent, Prof-specialty, Other-relative, White, Male, 0, 0, 60, ?, <=50K +25, Private, 195994, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K +18, Private, 50879, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 6, United-States, <=50K +21, Private, 186849, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 201127, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 110998, HS-grad, 9, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 36, United-States, <=50K +39, Private, 190466, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 2174, 0, 40, United-States, <=50K +67, Self-emp-not-inc, 173935, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 8, United-States, >50K +19, Private, 167140, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1602, 24, United-States, <=50K +18, Private, 110230, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 11, United-States, <=50K +36, Private, 287658, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 224954, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K +25, ?, 394820, Some-college, 10, Separated, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +40, Private, 37618, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +73, Self-emp-not-inc, 29306, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 37314, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +31, Private, 420749, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 482732, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 206215, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 101364, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +66, Self-emp-inc, 185369, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +66, Private, 216856, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +64, Private, 256019, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +48, Private, 348144, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 3325, 0, 53, United-States, <=50K +24, Private, 190293, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 25932, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 176729, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +33, Private, 166961, 11th, 7, Separated, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +50, Private, 86373, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 320513, 7th-8th, 4, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 50, Dominican-Republic, <=50K +34, State-gov, 190290, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +41, Local-gov, 111891, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 45796, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 108496, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 2907, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 120539, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K +36, Self-emp-not-inc, 164526, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K +37, Private, 323155, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 85, Mexico, <=50K +28, Private, 65389, HS-grad, 9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K +19, Private, 414871, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 161607, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +62, Private, 224953, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 261382, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K +58, Self-emp-not-inc, 231818, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Greece, <=50K +42, Self-emp-inc, 184018, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 1151, 0, 50, United-States, <=50K +43, Self-emp-inc, 133060, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 35032, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, State-gov, 304212, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +64, Local-gov, 50442, 9th, 5, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 146091, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K +26, Private, 267431, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +19, Private, 121240, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +21, Private, 192572, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K +32, Private, 211028, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Local-gov, 346122, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 5013, 0, 45, United-States, <=50K +26, Private, 202203, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 50, United-States, <=50K +20, Private, 159297, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K +19, Private, 310158, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K +33, Federal-gov, 193246, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, >50K +23, Private, 200089, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K +29, Private, 38353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +42, Private, 76280, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 243665, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +63, Private, 68872, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K +34, Private, 103596, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 88055, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K +48, Private, 186203, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 257910, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 200227, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 124975, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 27828, 0, 55, United-States, >50K +32, Private, 227669, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +22, Private, 117210, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, Greece, <=50K +25, Private, 76144, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 98667, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +24, Local-gov, 155818, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 44, United-States, <=50K +29, Private, 283760, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +73, ?, 281907, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K +39, Private, 186183, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Self-emp-inc, 202153, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 365683, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +22, Private, 187538, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, ?, 209432, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +33, Private, 126950, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 110028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 104660, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +57, Self-emp-not-inc, 437281, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K +42, Private, 259643, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +22, Private, 217961, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 1719, 30, United-States, <=50K +21, ?, 134746, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +42, Self-emp-not-inc, 120539, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Private, 25803, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +41, Private, 63596, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K +20, Local-gov, 325493, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +47, Private, 211239, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 206686, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 427965, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 218550, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 14084, 0, 16, United-States, >50K +71, Private, 163385, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, >50K +52, Private, 124993, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K +36, Private, 107410, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 152373, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +37, Private, 161226, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, >50K +26, Private, 213799, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 204461, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +35, Private, 377798, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +20, Private, 116375, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Local-gov, 210164, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +56, Self-emp-not-inc, 258752, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +39, Private, 327435, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K +24, Private, 301199, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K +24, Private, 186221, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +23, Private, 203924, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 192236, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 152035, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 201454, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 156580, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 37, United-States, >50K +51, Private, 115851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 106753, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +59, Private, 359292, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +29, Private, 83003, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 78817, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +24, Private, 200967, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 36, United-States, <=50K +38, State-gov, 107164, Some-college, 10, Separated, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 189674, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, Black, Female, 0, 0, 28, ?, <=50K +34, Self-emp-not-inc, 90614, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +42, Self-emp-not-inc, 323790, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 70, United-States, >50K +45, Self-emp-not-inc, 242552, 12th, 8, Divorced, Craft-repair, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K +21, Private, 90935, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +64, Self-emp-inc, 165667, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, Canada, >50K +32, Private, 162604, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +45, Private, 205424, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +53, Private, 97411, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K +42, Private, 184857, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K +32, Private, 165226, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 115784, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 368476, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, Mexico, <=50K +28, Private, 53063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, ?, 134566, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +32, Private, 153471, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +37, Self-emp-inc, 107164, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 2559, 50, United-States, >50K +38, Private, 180303, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K +44, Local-gov, 236321, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K +19, Private, 141868, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, ?, 367655, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 203518, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 119558, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +56, Private, 108276, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 385452, 10th, 6, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 162003, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 349028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 45114, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 112797, 9th, 5, Divorced, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K +28, Private, 183639, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 177121, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +38, Private, 239755, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 150361, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 293091, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 200089, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, Mexico, >50K +40, Private, 91836, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 324960, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +79, Local-gov, 84616, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 7, United-States, <=50K +44, Private, 252930, 10th, 6, Divorced, Adm-clerical, Unmarried, Other, Female, 0, 0, 42, United-States, <=50K +51, Private, 44000, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 50, United-States, >50K +30, Private, 154843, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 99307, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 48, United-States, >50K +41, Private, 182567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K +33, Private, 93206, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +50, Private, 100109, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, >50K +51, Private, 114927, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K +41, Private, 121287, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 189916, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, >50K +34, Private, 157747, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +28, Private, 39232, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +31, Self-emp-inc, 133861, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 505980, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 183374, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2329, 0, 15, United-States, <=50K +65, Private, 193216, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 40, United-States, >50K +39, Self-emp-not-inc, 140752, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 549349, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 179008, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Self-emp-not-inc, 190554, 10th, 6, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, >50K +47, Private, 80924, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +51, Local-gov, 319054, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K +34, Private, 297094, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 170562, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +29, Private, 240738, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 297544, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 169905, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 149637, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 182526, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 158315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +61, Self-emp-inc, 227232, Bachelors, 13, Separated, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +34, Private, 96483, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 8614, 0, 60, United-States, >50K +41, Private, 286970, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Local-gov, 223529, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 43, United-States, <=50K +78, Self-emp-not-inc, 316261, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 99999, 0, 20, United-States, >50K +40, Private, 170214, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Self-emp-not-inc, 224361, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K +43, Private, 124919, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K +55, ?, 103654, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +25, Private, 306352, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Mexico, <=50K +26, Self-emp-not-inc, 227858, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +43, Self-emp-inc, 150533, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K +25, Private, 144478, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Poland, <=50K +22, Private, 254547, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 30, Jamaica, <=50K +52, Self-emp-not-inc, 313243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +61, Private, 149981, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 2414, 0, 5, United-States, <=50K +42, Private, 125461, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 306967, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 192976, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +65, Private, 192133, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 40, Greece, <=50K +56, ?, 131608, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +33, Federal-gov, 339388, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 203240, 10th, 6, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 83827, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +45, Self-emp-inc, 160440, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +42, Private, 108502, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +37, Private, 410913, HS-grad, 9, Married-spouse-absent, Farming-fishing, Unmarried, Other, Male, 0, 0, 40, Mexico, <=50K +56, Private, 193818, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, ?, 163582, 10th, 6, Divorced, ?, Unmarried, White, Female, 0, 0, 16, ?, <=50K +40, Private, 103789, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +31, Private, 34572, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +26, Private, 43408, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, State-gov, 105787, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-inc, 90693, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +45, Self-emp-not-inc, 285575, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +47, Local-gov, 56482, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 50, United-States, >50K +22, Private, 496025, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +33, Private, 382764, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 259284, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +48, Self-emp-not-inc, 185385, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 98, United-States, <=50K +57, Self-emp-not-inc, 286836, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K +47, Private, 139145, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +58, Local-gov, 44246, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 169611, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 133403, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +29, Private, 187327, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 180032, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 46561, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +23, Private, 86065, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +46, Self-emp-not-inc, 256014, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 188403, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 396758, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 70, United-States, >50K +25, Private, 60485, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +32, Private, 271276, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K +56, Private, 229525, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 34574, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K +19, State-gov, 112432, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K +20, Private, 105312, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K +34, Private, 221396, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 304872, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 319733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 176012, 9th, 5, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 23, United-States, <=50K +31, Private, 213750, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 248384, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 351187, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 138179, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K +59, Private, 50223, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 117477, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K +40, Private, 194360, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 118108, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 90730, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K +18, Self-emp-inc, 38307, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 30, United-States, <=50K +41, Private, 116391, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 210496, 10th, 6, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 168475, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 174386, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +39, Private, 166744, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K +19, Private, 375114, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 373469, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 339667, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K +39, Private, 91711, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 82049, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 236242, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +57, Self-emp-inc, 140319, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Local-gov, 34080, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 204816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Private, 187124, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 72310, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +58, Private, 175127, 12th, 8, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +48, Federal-gov, 205707, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K +45, Local-gov, 236586, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K +18, Private, 71792, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +56, Private, 87584, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 136878, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +40, Private, 287983, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 2258, 48, Philippines, <=50K +38, Private, 110607, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +58, Private, 109015, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 235071, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K +63, Private, 88653, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K +51, Private, 332243, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +22, ?, 291547, 5th-6th, 3, Married-civ-spouse, ?, Wife, Other, Female, 0, 0, 40, Mexico, <=50K +44, Private, 45093, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +46, Federal-gov, 161337, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +64, State-gov, 211222, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 295117, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, England, >50K +31, Private, 206541, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 238415, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +21, Private, 29810, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +30, Private, 108023, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 114324, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +54, Private, 172281, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 50, United-States, <=50K +59, Local-gov, 197290, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 191177, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K +57, Private, 562558, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 79531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, Self-emp-inc, 157881, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +58, Self-emp-not-inc, 204816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +19, Private, 185695, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +39, Self-emp-inc, 167482, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Self-emp-inc, 83748, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 70, South, <=50K +27, Private, 39232, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 236827, 9th, 5, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 154410, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 135308, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 204042, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +20, Private, 308239, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +55, Private, 183884, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 98948, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 141642, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 162623, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Self-emp-inc, 186934, Bachelors, 13, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 179512, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +25, Private, 391192, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K +31, Private, 87054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 30008, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 113466, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +70, Private, 642830, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +23, Private, 182117, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 162432, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 242184, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +47, Private, 170850, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 4064, 0, 60, United-States, <=50K +56, Private, 435022, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +79, Private, 120707, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 35, El-Salvador, >50K +20, Private, 170800, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +30, Private, 268575, HS-grad, 9, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +27, Private, 269354, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, ?, <=50K +40, Private, 224232, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +60, ?, 153072, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K +58, Private, 177368, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +71, Self-emp-not-inc, 163293, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 2, United-States, <=50K +50, Private, 178530, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +29, Local-gov, 183523, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Iran, <=50K +33, Private, 207267, 10th, 6, Separated, Other-service, Unmarried, White, Female, 3418, 0, 35, United-States, <=50K +60, State-gov, 27037, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K +33, Private, 176711, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 163215, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, ?, >50K +33, Private, 394727, 10th, 6, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 195488, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 52, United-States, <=50K +32, State-gov, 443546, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K +21, Private, 121023, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 9, United-States, <=50K +38, Private, 51838, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 258888, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +39, State-gov, 189385, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +17, Private, 198146, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +21, Private, 337766, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 210525, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, >50K +42, Private, 185602, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Private, 173804, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 251243, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +37, Self-emp-not-inc, 415847, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 119793, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 181705, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 182360, HS-grad, 9, Separated, Prof-specialty, Unmarried, Other, Female, 0, 0, 60, Puerto-Rico, <=50K +49, Private, 61885, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 146520, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 323790, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 146268, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Federal-gov, 287031, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +33, Local-gov, 292217, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 88126, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 143046, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 401623, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, Jamaica, >50K +36, Self-emp-not-inc, 283122, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 60, United-States, >50K +84, Self-emp-not-inc, 155057, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K +23, Private, 260254, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 152292, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +55, Self-emp-inc, 138594, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K +30, Self-emp-not-inc, 523095, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 175262, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +55, Private, 323706, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K +34, Private, 316470, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 163815, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 72208, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 74784, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Private, 383518, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 99999, 0, 40, United-States, >50K +25, Self-emp-not-inc, 266668, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 347519, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +24, Private, 336088, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, <=50K +36, Private, 190350, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 204052, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, ?, 31362, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +90, Self-emp-not-inc, 155981, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 10566, 0, 50, United-States, <=50K +67, Private, 195161, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 60, United-States, >50K +22, Self-emp-inc, 269583, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2580, 0, 40, United-States, <=50K +47, Private, 26994, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +32, Private, 116539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 55, United-States, >50K +55, Self-emp-not-inc, 189933, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 101283, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +48, Private, 113598, Some-college, 10, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 188793, HS-grad, 9, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 35, United-States, <=50K +33, Private, 109996, Assoc-acdm, 12, Married-spouse-absent, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 195681, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, ?, <=50K +47, Private, 436770, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 84253, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +44, Self-emp-inc, 383493, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 216867, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 37, Mexico, <=50K +18, Private, 401051, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +56, Private, 83196, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 325596, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K +43, Private, 187322, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 193949, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K +26, Private, 133373, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 42, United-States, <=50K +42, Private, 113324, HS-grad, 9, Widowed, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 178818, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Self-emp-not-inc, 152810, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 335997, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 55, United-States, >50K +40, Private, 436493, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +27, Private, 704108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +24, Local-gov, 150084, Some-college, 10, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 341204, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 187336, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 204209, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K +42, Self-emp-not-inc, 206066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, <=50K +38, Private, 63509, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +63, Self-emp-not-inc, 391121, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +31, Private, 56026, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Self-emp-not-inc, 60981, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 4, United-States, <=50K +21, Private, 228255, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +24, Private, 86745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +55, Private, 234327, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 59948, 9th, 5, Never-married, Adm-clerical, Unmarried, Black, Female, 114, 0, 20, United-States, <=50K +31, Private, 137814, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 167692, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +35, Private, 245090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +51, Self-emp-not-inc, 256963, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 160033, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 30, United-States, <=50K +38, Local-gov, 289430, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +52, Local-gov, 305053, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K +70, Self-emp-not-inc, 172370, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K +53, Private, 320510, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 171355, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 65027, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K +18, Private, 215190, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, ?, 149385, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +19, ?, 169324, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K +24, Private, 138938, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 557082, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +32, Private, 273287, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K +34, Self-emp-not-inc, 77209, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 60, United-States, >50K +35, Private, 317153, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 95469, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 45, United-States, >50K +18, Private, 302859, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +37, Private, 333651, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +30, Private, 177596, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +40, Self-emp-inc, 157240, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 30, Iran, >50K +22, Private, 184779, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Local-gov, 138358, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K +70, Private, 176285, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K +43, Private, 102180, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +77, Self-emp-not-inc, 209507, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 229741, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 324546, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 39, United-States, <=50K +51, Private, 337195, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 50, United-States, >50K +58, State-gov, 194068, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +22, Private, 250647, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K +33, Private, 477106, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 104329, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 224566, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 169841, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +41, Private, 42563, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 25, United-States, >50K +37, Private, 31368, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 132755, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +50, Private, 279129, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +31, ?, 86143, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +54, State-gov, 44172, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +23, State-gov, 93076, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 146653, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +29, Private, 221366, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, Germany, <=50K +38, Private, 189404, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 35, ?, <=50K +30, Private, 172304, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +20, Private, 116666, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 8, India, <=50K +43, Self-emp-not-inc, 64112, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 55718, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 25, United-States, <=50K +39, Private, 126675, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +48, Private, 102112, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Self-emp-not-inc, 226505, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 211527, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 175069, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, Yugoslavia, <=50K +25, Private, 25249, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 73411, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 207185, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, Puerto-Rico, >50K +66, Private, 127139, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 41809, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 297449, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K +46, Private, 141483, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +42, Local-gov, 117227, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +46, Private, 377401, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 70, Canada, >50K +34, Local-gov, 167063, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 253759, Some-college, 10, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 40, United-States, <=50K +42, Private, 183096, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 269654, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +70, ?, 293076, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +32, Private, 34104, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Federal-gov, 80057, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Germany, >50K +42, Self-emp-inc, 369781, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 25, United-States, <=50K +21, Private, 223811, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 163053, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 189461, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 55, United-States, <=50K +50, Local-gov, 145166, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +37, Private, 86310, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +19, ?, 263224, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +44, Federal-gov, 280362, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 301031, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 74966, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 24, United-States, <=50K +36, Private, 254493, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +49, Self-emp-not-inc, 204241, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 225024, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Local-gov, 148222, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +75, State-gov, 113868, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 20, United-States, >50K +42, Private, 132633, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, ?, <=50K +37, Private, 44780, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 86373, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 25, United-States, <=50K +61, Local-gov, 176753, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K +33, Private, 164707, Assoc-acdm, 12, Never-married, Exec-managerial, Unmarried, White, Female, 2174, 0, 55, ?, <=50K +50, Local-gov, 370733, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +59, Private, 216851, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 137951, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +22, Private, 185279, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K +56, Private, 159724, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 103233, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 63509, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Private, 174353, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 168109, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 50, United-States, >50K +27, Private, 159724, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 105010, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2051, 20, United-States, <=50K +30, Private, 179112, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 40, ?, <=50K +46, Private, 364913, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 155664, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +61, Private, 230568, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +33, Private, 86492, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 87, United-States, <=50K +40, Private, 71305, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 189933, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +46, Self-emp-inc, 191978, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 50, United-States, >50K +35, Private, 38948, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Self-emp-inc, 139127, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +37, Private, 301568, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +64, Private, 149044, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2057, 60, China, <=50K +41, Private, 197344, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K +18, Private, 32244, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 594, 0, 30, United-States, <=50K +44, Self-emp-not-inc, 315406, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 88, United-States, <=50K +41, State-gov, 47170, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female, 0, 0, 48, United-States, >50K +33, State-gov, 208785, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K +37, Private, 196338, 9th, 5, Separated, Priv-house-serv, Unmarried, White, Female, 0, 0, 16, Mexico, <=50K +34, Private, 269243, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Federal-gov, 215115, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, ?, <=50K +20, Private, 117767, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 176101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 138283, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Self-emp-not-inc, 132320, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K +22, Federal-gov, 471452, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 8, United-States, <=50K +55, Private, 147653, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 73, United-States, <=50K +20, Private, 49179, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +26, Private, 174921, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Self-emp-inc, 95997, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 70, United-States, <=50K +40, Private, 247245, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 67072, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +54, ?, 95329, Some-college, 10, Divorced, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 107882, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 241825, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 46, United-States, <=50K +18, Private, 79443, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K +49, Self-emp-not-inc, 233059, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +17, Private, 226980, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K +34, Self-emp-not-inc, 181087, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 305597, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +49, Federal-gov, 311671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +74, Private, 129879, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 15831, 0, 40, United-States, >50K +37, Private, 83375, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 115824, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1573, 40, United-States, <=50K +40, Private, 141657, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K +34, Private, 50276, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K +30, Private, 177216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1740, 40, Haiti, <=50K +44, Private, 228057, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Puerto-Rico, <=50K +40, Private, 222848, 10th, 6, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 32, United-States, <=50K +58, Private, 121111, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, Greece, <=50K +44, Private, 298885, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 149909, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, >50K +39, Private, 387430, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K +19, Private, 121972, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 280167, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 70, United-States, >50K +29, State-gov, 191355, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Federal-gov, 112115, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +38, ?, 104094, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K +27, Private, 211032, Preschool, 1, Married-civ-spouse, Farming-fishing, Other-relative, White, Male, 41310, 0, 24, Mexico, <=50K +54, Private, 199307, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +40, Private, 205175, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +19, Private, 257750, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +17, Private, 191260, 11th, 7, Never-married, Other-service, Own-child, White, Male, 594, 0, 10, United-States, <=50K +33, Private, 342730, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K +80, Private, 249983, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +24, Self-emp-not-inc, 161508, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 338376, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 334308, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K +21, Private, 133471, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 129177, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +19, Private, 178811, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +42, Private, 178537, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +60, Self-emp-not-inc, 235535, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +20, ?, 298155, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +51, Private, 145114, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 194096, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, State-gov, 191779, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 159732, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +42, Federal-gov, 170230, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 60, United-States, >50K +40, Private, 104719, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 163083, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 403552, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K +62, Private, 218009, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1977, 60, United-States, >50K +47, Private, 179313, 10th, 6, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +26, Private, 51961, 12th, 8, Never-married, Sales, Other-relative, Black, Male, 0, 0, 51, United-States, <=50K +59, Private, 426001, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 20, Puerto-Rico, <=50K +70, Local-gov, 176493, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K +26, Private, 124068, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +47, Private, 108510, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K +25, Private, 181528, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +52, Self-emp-inc, 173754, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K +46, Private, 169699, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 126849, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K +34, Private, 204470, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +53, State-gov, 116367, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 4650, 0, 40, United-States, <=50K +22, Private, 117363, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +39, Local-gov, 106297, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 42, United-States, <=50K +54, Self-emp-not-inc, 108933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +24, Private, 190143, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 246677, HS-grad, 9, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +38, Private, 175360, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2559, 90, United-States, >50K +41, Local-gov, 210259, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 166304, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 33, United-States, <=50K +43, Private, 303051, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +39, Private, 49308, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 192262, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K +49, Local-gov, 192349, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 48063, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +43, Private, 170214, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +54, Federal-gov, 51048, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Self-emp-inc, 246562, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, >50K +57, Local-gov, 215175, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 114967, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 464536, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 451996, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 138852, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, State-gov, 353012, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-inc, 321822, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K +50, Self-emp-not-inc, 324506, HS-grad, 9, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 48, South, <=50K +36, Private, 162256, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Local-gov, 356689, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 260199, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +36, Private, 103605, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 316211, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 308691, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Private, 194404, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +18, Private, 334427, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 36, United-States, <=50K +33, Private, 213226, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 342824, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 1151, 0, 40, United-States, <=50K +23, Private, 33105, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +37, Private, 147638, Bachelors, 13, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 36, Philippines, <=50K +25, Private, 315643, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +51, Federal-gov, 106257, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 342768, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 108960, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, ?, 168071, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +32, Private, 136935, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 13, United-States, <=50K +37, Self-emp-not-inc, 188774, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +29, Private, 280344, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 202496, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 37, United-States, <=50K +61, Self-emp-inc, 134768, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 175686, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 194748, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 49, United-States, <=50K +49, Private, 61307, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 38, United-States, <=50K +51, Self-emp-not-inc, 165001, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 25236, 0, 50, United-States, >50K +34, Private, 325658, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, ?, 201844, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +20, Private, 505980, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 185336, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +49, Self-emp-inc, 362795, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 99999, 0, 80, Mexico, >50K +26, Private, 126829, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 264600, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +36, Private, 82743, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, Iran, <=50K +63, Self-emp-not-inc, 125178, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 128487, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +40, Private, 321758, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 128220, 7th-8th, 4, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +49, Private, 176814, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Canada, <=50K +35, Private, 188069, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 13550, 0, 55, ?, >50K +23, State-gov, 156423, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +25, Private, 169905, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K +34, ?, 157289, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 176972, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +44, Self-emp-not-inc, 171424, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 2205, 35, United-States, <=50K +33, Private, 91811, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 203924, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 2597, 0, 45, United-States, <=50K +55, Private, 177484, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1672, 40, United-States, <=50K +17, ?, 454614, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K +75, Self-emp-not-inc, 242108, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 2346, 0, 15, United-States, <=50K +61, Private, 132972, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 157947, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Local-gov, 177482, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K +48, Private, 246891, Some-college, 10, Widowed, Sales, Unmarried, White, Male, 0, 0, 50, United-States, >50K +28, State-gov, 158834, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +30, ?, 203834, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Taiwan, <=50K +29, Private, 110442, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 240676, Some-college, 10, Divorced, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 192939, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 260696, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +40, Local-gov, 55363, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 144949, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +55, Private, 116878, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 30, United-States, >50K +31, Local-gov, 357954, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +21, ?, 170038, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 190290, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Italy, <=50K +26, State-gov, 203279, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 2463, 0, 50, India, <=50K +26, Private, 167761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Private, 138845, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 144844, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K +21, ?, 161930, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 1504, 30, United-States, <=50K +26, Private, 55743, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +40, Self-emp-not-inc, 117721, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +19, Self-emp-not-inc, 116385, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 301867, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 238913, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Self-emp-not-inc, 123983, Some-college, 10, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 63, South, <=50K +26, Private, 165510, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 183513, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +42, Self-emp-inc, 119281, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +41, Private, 152629, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 110171, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 211440, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Local-gov, 359259, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 125796, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K +34, Private, 39609, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 111567, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, Germany, >50K +23, Private, 44064, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 2559, 40, United-States, >50K +35, Self-emp-not-inc, 120066, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +41, Private, 132633, 11th, 7, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 25, Guatemala, <=50K +39, Private, 192702, Masters, 14, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +41, Private, 166813, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +33, Self-emp-inc, 40444, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 290504, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 178505, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Female, 0, 1504, 45, United-States, <=50K +25, Private, 175370, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +77, Self-emp-not-inc, 72931, 7th-8th, 4, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, Italy, >50K +33, ?, 234542, Assoc-voc, 11, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +66, Private, 284021, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 277974, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +44, Private, 111275, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +45, Self-emp-inc, 191776, Masters, 14, Divorced, Sales, Unmarried, White, Female, 25236, 0, 42, United-States, >50K +28, Private, 125527, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 38294, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 2597, 0, 40, United-States, <=50K +43, Private, 313022, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 4386, 0, 40, United-States, >50K +39, Private, 179668, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K +33, Private, 198660, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 216116, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K +62, Private, 200922, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 153372, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Private, 406603, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 6, Iran, <=50K +23, Local-gov, 248344, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +48, Private, 240629, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, >50K +38, Private, 314310, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 259785, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Private, 127111, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +29, Private, 178272, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, Local-gov, 75134, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +19, Private, 195985, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 221955, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 39, Mexico, <=50K +34, Private, 177675, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 182828, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +33, Self-emp-not-inc, 270889, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +43, Private, 183096, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +27, Private, 336951, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K +33, State-gov, 295589, Some-college, 10, Separated, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +26, Private, 289980, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, Mexico, <=50K +56, Self-emp-inc, 70720, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K +46, Private, 163352, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K +38, Private, 190776, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +90, Private, 313986, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +72, Self-emp-inc, 473748, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, >50K +20, Private, 163003, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K +29, Private, 183061, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K +49, Private, 123584, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K +23, Private, 120910, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +20, Private, 227554, Some-college, 10, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 18, United-States, <=50K +57, Private, 182677, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 4508, 0, 40, South, <=50K +46, Private, 214955, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 209768, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 258120, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, Jamaica, <=50K +49, Private, 110015, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Greece, <=50K +54, Private, 152652, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +46, Federal-gov, 43206, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 50, United-States, >50K +31, Self-emp-not-inc, 114639, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, Self-emp-inc, 221172, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K +18, ?, 128538, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 6, United-States, <=50K +19, Private, 131615, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 353824, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 178417, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 178644, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 271665, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, ?, 223732, Some-college, 10, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +21, Federal-gov, 169003, 12th, 8, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +52, State-gov, 338816, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +34, Private, 506858, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, >50K +28, Private, 265628, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 173495, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 177413, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 31670, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K +49, Private, 154451, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +35, Private, 265535, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 50, Jamaica, >50K +31, Private, 118941, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +18, Private, 214617, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +47, Local-gov, 265097, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 4386, 0, 40, United-States, >50K +46, Private, 276087, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 50, United-States, <=50K +43, Private, 124692, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Federal-gov, 306784, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K +21, Private, 434102, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, ?, 387641, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, State-gov, 181824, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 35, United-States, >50K +39, Local-gov, 177907, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K +58, Private, 87329, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K +36, Private, 263130, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 262882, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 37546, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 35, United-States, >50K +19, Private, 27433, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 393945, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +26, Private, 173927, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, Other, Female, 0, 0, 60, Jamaica, <=50K +38, Private, 343403, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +36, Private, 111128, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 193882, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 310864, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +41, Private, 128354, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 25, United-States, >50K +33, Private, 113364, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +63, ?, 198559, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K +51, Private, 136913, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 115488, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 154227, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 279667, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Self-emp-not-inc, 281030, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 66, United-States, <=50K +19, Private, 283945, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K +47, Private, 454989, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +26, Private, 391349, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, State-gov, 166704, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 14, United-States, <=50K +36, Private, 151835, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K +60, Private, 199085, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 61487, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 120251, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 14, United-States, <=50K +42, Private, 273230, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 90, United-States, <=50K +36, Private, 358373, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K +35, Private, 267891, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, United-States, <=50K +22, Private, 234880, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +54, Private, 48358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 96452, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +55, Private, 204751, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +57, Private, 375868, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 413373, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 36, United-States, <=50K +24, Private, 537222, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Local-gov, 33975, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Self-emp-inc, 162327, 11th, 7, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 182691, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 44, United-States, <=50K +36, Private, 300829, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +51, Local-gov, 114508, 9th, 5, Separated, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 214627, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +42, Private, 129684, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Female, 5455, 0, 50, United-States, <=50K +25, State-gov, 120041, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 361138, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 76893, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 205424, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, >50K +61, Private, 176839, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +40, Private, 229148, 12th, 8, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K +58, Self-emp-inc, 154537, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, >50K +52, Private, 181901, HS-grad, 9, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 20, Mexico, <=50K +18, Private, 152004, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +27, Private, 205188, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 30840, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 45, United-States, <=50K +63, Private, 66634, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K +38, Self-emp-not-inc, 180220, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 291052, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2051, 40, United-States, <=50K +40, Self-emp-not-inc, 99651, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +41, Private, 327723, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 32291, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K +31, Private, 345122, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K +32, Private, 127384, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +30, Private, 363296, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 72, United-States, <=50K +39, Local-gov, 86551, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K +28, Private, 30070, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 595000, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +21, ?, 152328, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +33, ?, 177824, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, State-gov, 111483, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 199555, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K +42, Private, 50018, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K +36, Private, 218490, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +39, Private, 49020, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K +61, Private, 213321, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 40, United-States, <=50K +31, Private, 159187, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 83033, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, Germany, <=50K +39, Self-emp-not-inc, 31848, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2829, 0, 90, United-States, <=50K +34, Self-emp-not-inc, 24961, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K +21, Private, 182117, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +75, Self-emp-not-inc, 146576, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 48, United-States, >50K +21, Private, 176690, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K +81, Private, 122651, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K +54, Self-emp-inc, 149650, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +34, Private, 454508, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, Iran, <=50K +54, Self-emp-not-inc, 269068, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 50, Philippines, >50K +41, Private, 266530, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K +61, ?, 198542, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +63, Private, 133144, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 2580, 0, 20, United-States, <=50K +24, Private, 217961, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 221661, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K +44, Local-gov, 60735, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K +47, Self-emp-not-inc, 121124, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 48588, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 48087, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K +53, Self-emp-not-inc, 240138, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +63, Private, 273010, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3471, 0, 40, United-States, <=50K +44, Private, 104196, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +37, Private, 230035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K +28, Private, 38918, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Germany, >50K +71, ?, 205011, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K +57, Private, 176079, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 180052, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K +33, Local-gov, 173005, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1848, 45, United-States, >50K +30, Private, 378723, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 55, United-States, <=50K +20, Private, 233624, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 192591, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +54, Private, 249860, 11th, 7, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 10, United-States, <=50K +20, Private, 247564, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +34, Private, 238912, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 190227, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, State-gov, 293287, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 180807, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 250217, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 70, United-States, <=50K +19, Private, 217418, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 38, United-States, <=50K +22, Local-gov, 137510, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +59, State-gov, 163047, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +18, Private, 577521, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 13, United-States, <=50K +22, Private, 221533, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +42, Local-gov, 255675, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 114079, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 155781, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 243762, 11th, 7, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 113062, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 7, United-States, <=50K +67, Private, 217028, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 110723, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +47, Federal-gov, 191858, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 179423, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K +20, Private, 339588, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Peru, <=50K +22, Private, 206815, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, Peru, <=50K +47, State-gov, 103743, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 235683, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +64, ?, 207321, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +35, State-gov, 197495, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +52, Federal-gov, 424012, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 178469, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +73, Self-emp-inc, 92886, 10th, 6, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, Canada, <=50K +38, Self-emp-not-inc, 214008, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +59, Self-emp-not-inc, 325732, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 52, United-States, >50K +35, Private, 28572, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 35, United-States, <=50K +18, Private, 118376, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +24, Private, 51799, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +33, Local-gov, 115488, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 190621, Some-college, 10, Divorced, Exec-managerial, Other-relative, Black, Female, 0, 0, 55, United-States, <=50K +55, Private, 193568, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 192878, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 264663, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K +22, Private, 234731, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 308373, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +45, Private, 205644, HS-grad, 9, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K +47, Local-gov, 321851, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +56, Private, 206399, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 124563, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +32, State-gov, 198211, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +17, Private, 130795, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +44, Private, 71269, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Self-emp-not-inc, 319280, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +35, Private, 125933, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +27, Private, 107236, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 32732, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +68, Private, 284763, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +20, Private, 112668, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +33, Private, 376483, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +24, Private, 402778, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +48, Private, 36177, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +45, Private, 125489, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +48, Private, 304791, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 209205, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +60, ?, 112821, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K +39, Local-gov, 178100, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 70261, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +23, State-gov, 186634, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 32958, Some-college, 10, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 254746, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 158746, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 140854, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 51506, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 189564, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, >50K +37, Federal-gov, 325538, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +58, Private, 213975, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +67, Self-emp-not-inc, 431426, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 2, United-States, <=50K +48, Private, 199763, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, <=50K +63, Private, 161563, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +24, Local-gov, 252024, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K +43, Private, 43945, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 178487, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 604506, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, White, Male, 0, 0, 72, Mexico, <=50K +36, Private, 228157, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K +43, Private, 199191, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +27, Private, 189775, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +17, Private, 171080, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +45, Private, 117310, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K +41, Self-emp-inc, 82049, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 126094, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K +18, ?, 202516, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +48, Local-gov, 246392, Assoc-acdm, 12, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +51, ?, 69328, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 292803, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +54, Private, 286989, Preschool, 1, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 190483, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 48, Iran, <=50K +19, Private, 235849, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K +47, Private, 359766, 7th-8th, 4, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 128016, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +46, Private, 360096, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +30, Private, 170154, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +35, Private, 337286, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +52, Private, 204322, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 5013, 0, 40, United-States, <=50K +73, Self-emp-not-inc, 143833, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 18, United-States, <=50K +17, Private, 365613, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, Canada, <=50K +32, Private, 100135, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +43, Local-gov, 180096, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +19, ?, 371827, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Portugal, <=50K +26, Private, 61270, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Columbia, <=50K +41, Federal-gov, 564135, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 198759, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K +52, State-gov, 303462, Some-college, 10, Separated, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 193106, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +57, Private, 250201, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 52, United-States, <=50K +35, Private, 200426, Assoc-voc, 11, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +33, Private, 222654, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 53366, 7th-8th, 4, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 132222, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 60, United-States, <=50K +17, Private, 100828, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +49, Private, 31264, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +39, Private, 202027, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +34, Self-emp-not-inc, 168906, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +37, Self-emp-not-inc, 255454, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 245524, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +27, Private, 386040, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +21, Private, 35424, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +59, ?, 93655, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 152629, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3103, 0, 40, United-States, >50K +53, Self-emp-not-inc, 151159, 10th, 6, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K +26, Private, 410240, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 138970, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Private, 269722, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +34, Private, 223678, HS-grad, 9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 32, United-States, <=50K +54, State-gov, 197184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K +36, Private, 143486, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K +60, Private, 160625, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K +50, Private, 140516, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Local-gov, 85341, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 108293, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 2205, 40, United-States, <=50K +40, Self-emp-not-inc, 192507, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +30, Private, 186932, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +65, Self-emp-not-inc, 223580, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 6514, 0, 40, United-States, >50K +31, Private, 236861, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +46, Local-gov, 327886, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 407618, 9th, 5, Divorced, ?, Not-in-family, White, Female, 2050, 0, 40, United-States, <=50K +62, Self-emp-inc, 197060, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 229180, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K +24, Private, 284317, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +24, Private, 73514, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Philippines, <=50K +27, Private, 47907, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +43, State-gov, 134782, Assoc-acdm, 12, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +48, Private, 118831, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K +41, Private, 299505, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 267161, Some-college, 10, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 45, United-States, <=50K +38, Private, 119177, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 327886, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +45, Private, 187730, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 109015, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +46, Self-emp-not-inc, 110015, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, Greece, <=50K +24, Private, 104146, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 50442, Some-college, 10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K +35, Private, 57640, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +37, Local-gov, 333664, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 224858, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +56, Private, 290641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +60, ?, 191118, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1848, 40, United-States, >50K +25, Private, 34402, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 60, United-States, <=50K +33, Private, 245378, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 179136, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 116788, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 129699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Federal-gov, 39606, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K +44, Self-emp-inc, 95150, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +63, Private, 102479, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 199191, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K +31, Private, 229636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Mexico, <=50K +26, Private, 53833, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K +37, Self-emp-inc, 27997, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +60, ?, 124487, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +33, Private, 111363, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 107630, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 134287, Assoc-voc, 11, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +46, Self-emp-inc, 283004, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 63, Thailand, <=50K +24, Private, 33616, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +47, Local-gov, 121124, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +27, Private, 188189, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +46, Private, 106255, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Federal-gov, 282830, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +47, Private, 243904, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, Honduras, <=50K +69, Private, 165017, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Male, 2538, 0, 40, United-States, <=50K +32, Private, 131584, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K +51, Private, 427781, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 334291, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Local-gov, 173224, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 87507, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K +32, Private, 187560, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3908, 0, 40, United-States, <=50K +27, Private, 204497, 10th, 6, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 75, United-States, <=50K +60, Private, 230545, 7th-8th, 4, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Cuba, <=50K +31, Private, 118161, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 150499, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Local-gov, 96554, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 288551, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 52, United-States, >50K +69, Self-emp-not-inc, 104003, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +54, Self-emp-inc, 124963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 198388, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Federal-gov, 126204, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 91709, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +34, Self-emp-not-inc, 152109, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Self-emp-not-inc, 191954, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K +63, Private, 108097, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 10566, 0, 45, United-States, <=50K +29, Local-gov, 289991, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +64, Private, 92115, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 320277, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 33610, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 168276, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, State-gov, 175127, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 38, United-States, >50K +37, Private, 254973, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, >50K +37, Private, 95336, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +63, Private, 346975, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 36, United-States, >50K +33, Private, 227282, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 138153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +57, Local-gov, 174132, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1977, 40, United-States, >50K +31, Private, 182237, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K +20, ?, 111252, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +58, Local-gov, 217775, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +20, ?, 168863, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +25, Private, 394503, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 141657, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 125441, 11th, 7, Never-married, Other-service, Own-child, White, Male, 1055, 0, 20, United-States, <=50K +26, Private, 172230, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 282944, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Local-gov, 55377, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K +35, State-gov, 49352, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K +32, Private, 213887, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +61, Self-emp-not-inc, 24046, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +26, State-gov, 208122, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +56, Private, 176118, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K +22, Private, 227994, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 39, United-States, <=50K +49, Private, 215389, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K +40, Private, 99434, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 12, United-States, <=50K +37, Private, 190964, HS-grad, 9, Separated, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 113700, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 259840, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +27, Private, 168827, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-inc, 28984, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 182211, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 82393, Some-college, 10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +28, Private, 183639, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K +38, Private, 342448, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +47, State-gov, 469907, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1740, 40, United-States, <=50K +28, Local-gov, 211920, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, State-gov, 33658, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +41, Federal-gov, 34178, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 400630, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K +73, Self-emp-not-inc, 161251, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +21, Private, 255685, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K +38, Private, 199256, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +64, ?, 143716, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K +47, Private, 221666, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 145409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 60, Canada, >50K +24, Private, 39615, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +44, Private, 104440, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 151382, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 974, 40, United-States, <=50K +61, Self-emp-not-inc, 503675, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K +58, Private, 306233, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +51, Private, 216475, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1564, 43, United-States, >50K +49, Private, 50748, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 55, England, <=50K +23, Private, 107190, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +19, Private, 206874, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 83141, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K +56, Private, 444089, 11th, 7, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 141896, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Federal-gov, 33487, Some-college, 10, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K +41, Private, 65372, Doctorate, 16, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, >50K +30, Private, 341346, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 343403, Doctorate, 16, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 20, ?, <=50K +47, Private, 287480, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Self-emp-inc, 107287, 10th, 6, Widowed, Exec-managerial, Unmarried, White, Female, 0, 2559, 50, United-States, >50K +55, Private, 199067, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 32, United-States, <=50K +22, ?, 182771, Assoc-voc, 11, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K +31, Private, 159737, 10th, 6, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 110643, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4386, 0, 40, United-States, >50K +24, Private, 117583, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 48, United-States, <=50K +49, Self-emp-not-inc, 43479, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 203003, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, Germany, <=50K +50, Private, 133963, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +38, Private, 227794, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +20, Self-emp-not-inc, 112137, Some-college, 10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K +49, Self-emp-not-inc, 110457, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Private, 281565, HS-grad, 9, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K +46, Federal-gov, 297906, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K +19, Private, 151506, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +31, Federal-gov, 139455, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Cuba, <=50K +38, Private, 26987, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 233312, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 161092, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, Local-gov, 98361, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 188928, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 164922, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 185673, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 193598, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +56, Private, 274111, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +32, Private, 245482, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +56, Private, 160932, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K +50, Private, 44368, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, ?, 291374, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +30, Private, 280927, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 222993, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Federal-gov, 25240, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 204052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 74054, 11th, 7, Never-married, Sales, Own-child, Other, Female, 0, 0, 20, ?, <=50K +46, Private, 169042, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, Ecuador, <=50K +31, Private, 104509, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 65, United-States, >50K +38, Local-gov, 185394, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K +44, Local-gov, 254146, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-inc, 227856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K +19, Private, 183041, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +45, Private, 107682, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +50, Self-emp-inc, 287598, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +53, Private, 182186, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K +41, Self-emp-inc, 194636, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 65, United-States, >50K +45, Private, 112305, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 212661, 10th, 6, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K +37, Private, 32709, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +42, Federal-gov, 46366, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 24106, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K +46, Private, 170850, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1590, 40, ?, <=50K +45, Self-emp-not-inc, 40666, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 182975, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +30, Private, 345122, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, ?, 208311, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 80, United-States, >50K +37, Private, 120045, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K +18, ?, 201299, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 152940, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 243580, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 182128, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 6497, 0, 50, United-States, <=50K +36, ?, 176458, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 28, United-States, <=50K +33, Private, 101562, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 108699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 175878, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Female, 0, 0, 40, United-States, <=50K +34, Local-gov, 177675, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +33, Private, 213887, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 357619, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, Germany, <=50K +23, Private, 435835, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1669, 55, United-States, <=50K +39, Private, 165799, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 71469, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +19, Private, 229745, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +47, Private, 284916, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K +46, Private, 28419, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 26950, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K +47, Self-emp-not-inc, 107231, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +52, Local-gov, 512103, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 245090, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +58, Private, 314153, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 243988, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +54, Self-emp-not-inc, 82551, Assoc-voc, 11, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 10, United-States, <=50K +20, Private, 42706, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +25, Private, 235795, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +25, Self-emp-not-inc, 108001, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +36, State-gov, 112497, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1876, 44, United-States, <=50K +69, Self-emp-not-inc, 128206, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 224634, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +20, Private, 362999, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 346693, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 175759, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 99199, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 32, United-States, <=50K +25, ?, 219987, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 13, United-States, <=50K +39, Private, 143445, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 118710, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Local-gov, 224185, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 118972, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Private, 165360, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 38950, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 89, United-States, <=50K +42, Self-emp-inc, 277256, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K +29, Private, 247151, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 213722, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 209955, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +41, Private, 174395, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 138626, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K +22, ?, 179973, Assoc-voc, 11, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 200207, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 44, United-States, <=50K +19, Private, 156587, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K +24, Private, 33016, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 197496, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, ?, <=50K +32, Private, 153588, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 99736, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 15020, 0, 50, United-States, >50K +36, Private, 284166, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, >50K +18, Private, 716066, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 188519, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 109080, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +52, Private, 174421, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +24, Private, 259351, Some-college, 10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K +42, Federal-gov, 284403, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 85319, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 60, United-States, >50K +20, ?, 201766, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +20, State-gov, 340475, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +39, Private, 487486, HS-grad, 9, Widowed, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, ?, <=50K +68, ?, 484298, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 170617, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K +54, Private, 94055, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 117779, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 209770, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +20, Private, 317443, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 15, United-States, <=50K +64, ?, 140237, Preschool, 1, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 107411, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +36, Self-emp-not-inc, 122493, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K +44, Self-emp-inc, 195124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, ?, <=50K +38, Private, 101978, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 2258, 55, United-States, >50K +22, Private, 335453, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +56, Private, 318329, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 100321, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +24, Self-emp-not-inc, 81145, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K +22, Private, 62865, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 176262, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K +42, Private, 168103, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Local-gov, 208174, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +19, Private, 188815, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 34095, 0, 20, United-States, <=50K +67, Self-emp-not-inc, 226092, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 44, United-States, <=50K +20, Private, 212668, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +32, Private, 381583, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K +46, Private, 239439, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 172493, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +44, Private, 239876, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +65, ?, 221881, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K +37, Local-gov, 218184, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +27, Self-emp-not-inc, 206889, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 110668, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 35, United-States, <=50K +30, Private, 211028, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +64, Local-gov, 202984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K +48, Private, 20296, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, >50K +35, Private, 194690, 7th-8th, 4, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 204984, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +63, Self-emp-not-inc, 35021, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 32, China, >50K +40, Self-emp-not-inc, 238574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +33, Private, 345360, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 192381, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 479765, 7th-8th, 4, Never-married, Sales, Other-relative, White, Male, 0, 0, 45, Guatemala, <=50K +45, Self-emp-inc, 34091, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K +30, Private, 151773, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 299080, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +63, Private, 135339, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 2105, 0, 40, Vietnam, <=50K +27, Local-gov, 52156, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 318647, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 80145, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +39, State-gov, 343646, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, Mexico, >50K +42, Self-emp-not-inc, 198692, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +19, Private, 266635, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +31, Private, 197672, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 185846, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 315110, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 220754, Doctorate, 16, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 64292, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 126060, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +52, Private, 78012, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 1762, 40, United-States, <=50K +32, Private, 210562, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 46, United-States, <=50K +23, Private, 350181, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 233421, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +53, Private, 167170, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 260801, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 173370, Bachelors, 13, Separated, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +27, Private, 135520, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Dominican-Republic, <=50K +30, Private, 121308, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 444743, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 65225, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +58, State-gov, 136982, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 40, Honduras, <=50K +45, State-gov, 271962, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 204046, 10th, 6, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 225823, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 183009, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 1590, 40, United-States, <=50K +50, Private, 121038, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K +26, Private, 49092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 148709, HS-grad, 9, Separated, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 209205, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 285865, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +22, Federal-gov, 216129, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +37, Federal-gov, 40955, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Japan, <=50K +54, Private, 197189, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 33001, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 227399, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 164050, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K +49, Private, 259087, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 236262, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +26, Private, 177929, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +48, Private, 166929, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, ?, >50K +32, Private, 199963, 11th, 7, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +35, State-gov, 98776, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 135056, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +40, Self-emp-not-inc, 55363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K +42, State-gov, 102343, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 72, India, >50K +30, Private, 231263, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 226913, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +36, Private, 129573, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +31, Private, 191001, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Federal-gov, 69345, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +38, Private, 204556, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 192626, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Private, 202812, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 405177, 10th, 6, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 227890, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 46, United-States, >50K +33, Private, 101352, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +49, Private, 82572, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +28, Private, 132686, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Local-gov, 149210, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 15024, 0, 40, United-States, >50K +27, Private, 245661, HS-grad, 9, Separated, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-inc, 483596, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2885, 0, 32, United-States, <=50K +42, State-gov, 104663, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Italy, >50K +30, Private, 347166, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +37, Local-gov, 108540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 333305, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K +51, Private, 155408, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +27, Federal-gov, 246372, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 30290, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 347321, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-inc, 205852, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +40, Federal-gov, 163215, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, ?, <=50K +54, State-gov, 93449, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +47, Self-emp-inc, 116927, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +35, Private, 164526, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Yugoslavia, >50K +33, Private, 31573, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 125159, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, Haiti, <=50K +39, State-gov, 201105, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K +25, ?, 122745, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 1602, 40, United-States, <=50K +33, Private, 150570, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 118941, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K +53, Private, 141388, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 174714, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K +31, State-gov, 75755, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K +63, Private, 133144, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +21, Self-emp-not-inc, 318865, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +59, Private, 109638, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 92969, 1st-4th, 2, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +66, ?, 376028, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 144161, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K +31, Private, 183778, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 398904, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 170846, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +35, Local-gov, 204277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 205152, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 225395, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 60, Mexico, <=50K +38, Private, 33975, HS-grad, 9, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, >50K +49, Private, 147032, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 8, Philippines, <=50K +64, Private, 174826, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Local-gov, 232769, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +25, Private, 36984, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +21, Private, 292264, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +26, Private, 303973, HS-grad, 9, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 1602, 15, Mexico, <=50K +23, Private, 287988, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +67, Self-emp-inc, 330144, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K +24, Private, 191948, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +46, Private, 324601, 1st-4th, 2, Separated, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K +38, State-gov, 200289, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K +20, Private, 113307, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +28, ?, 194087, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 155213, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +58, Private, 175127, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, State-gov, 358461, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +37, State-gov, 354929, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K +53, State-gov, 104501, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +45, Private, 112929, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +33, Private, 132832, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +33, State-gov, 357691, Masters, 14, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 114605, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +60, Self-emp-not-inc, 525878, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 68358, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +38, Private, 174571, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, <=50K +40, Private, 42703, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 220589, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +44, Self-emp-not-inc, 197558, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K +27, Private, 423250, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Self-emp-not-inc, 29254, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +20, ?, 308924, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +49, Local-gov, 276247, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 213841, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 181677, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, >50K +46, Private, 160061, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 285295, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K +43, Private, 265266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 222115, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 99999, 0, 40, United-States, >50K +25, State-gov, 194954, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K +48, Private, 156926, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 217414, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +37, Private, 538443, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K +18, ?, 192399, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 383493, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +60, Private, 193235, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 24, United-States, <=50K +37, Self-emp-inc, 99452, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K +44, Local-gov, 254134, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 90446, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 116613, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Portugal, <=50K +42, Local-gov, 238188, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +17, Private, 95909, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +41, Private, 82319, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 10, United-States, <=50K +34, Private, 182274, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1887, 40, United-States, >50K +56, Private, 179625, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +28, Private, 119793, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 254989, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 104830, 7th-8th, 4, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 25, Guatemala, <=50K +49, Federal-gov, 110373, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Self-emp-not-inc, 135416, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 50, United-States, <=50K +25, Private, 298225, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +42, Private, 166740, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 213668, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +26, Private, 276624, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 226789, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 58, United-States, <=50K +37, Private, 31023, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +39, Local-gov, 116666, HS-grad, 9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male, 4650, 0, 48, United-States, <=50K +42, Private, 136986, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +41, Private, 179580, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 36, United-States, >50K +23, Private, 103277, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +31, Federal-gov, 351141, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 191161, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 57, United-States, >50K +20, Private, 148709, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +36, Private, 128382, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +50, Private, 144361, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 172538, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 102476, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 27828, 0, 50, United-States, >50K +39, Private, 46028, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +32, Private, 198452, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 193895, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +29, Private, 233421, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 45, United-States, <=50K +50, Private, 378747, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +42, Private, 31251, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 37, United-States, <=50K +32, Private, 71540, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 194772, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +20, Private, 34568, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3781, 0, 35, United-States, <=50K +50, Self-emp-not-inc, 36480, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +18, Private, 116528, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +60, Private, 52152, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 216690, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K +42, Local-gov, 227065, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K +49, Private, 84013, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +35, Self-emp-inc, 82051, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 176185, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Iran, <=50K +59, Private, 115414, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Self-emp-inc, 493034, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 13550, 0, 50, United-States, >50K +55, Private, 354923, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 393712, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +39, Private, 98941, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 141483, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 172479, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +21, Private, 226145, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +23, Private, 394612, Bachelors, 13, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 231085, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +55, Self-emp-not-inc, 183810, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +19, Private, 186159, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 162282, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +46, Private, 219021, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 44, United-States, >50K +23, Private, 273206, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K +47, Self-emp-inc, 332355, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +23, Private, 102729, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +42, Private, 198096, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +22, State-gov, 292933, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +18, Private, 135924, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +37, Private, 99146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +34, Private, 27409, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 299507, Assoc-acdm, 12, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 102631, Some-college, 10, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +51, Private, 153486, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 434292, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 30, United-States, <=50K +28, Self-emp-not-inc, 240172, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 219426, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 295791, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +46, Private, 114032, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 45, United-States, >50K +23, Local-gov, 496382, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K +33, Private, 376483, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 30, United-States, <=50K +27, Private, 107218, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +21, Private, 246207, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +18, ?, 80564, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 83089, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, Mexico, >50K +37, Local-gov, 328301, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +39, Local-gov, 301614, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 199739, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K +24, Private, 180060, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 2354, 0, 40, United-States, <=50K +26, Private, 121040, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 125550, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +34, Private, 170772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 180551, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 48189, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 432154, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 8, Mexico, <=50K +26, Private, 263200, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +47, Private, 123207, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +17, Private, 110798, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +53, Private, 238481, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, <=50K +31, Private, 185528, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +34, Private, 181311, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 528616, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +39, Private, 272950, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +22, ?, 195532, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 197583, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +40, Private, 48612, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +54, Local-gov, 31533, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +32, Federal-gov, 148138, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2002, 40, Iran, <=50K +29, Local-gov, 30069, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 2635, 0, 40, United-States, <=50K +68, ?, 170182, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +27, Local-gov, 230885, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K +54, Private, 174102, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +23, Private, 352606, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 241153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +54, Private, 155433, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K +21, Private, 109414, Some-college, 10, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 1974, 40, United-States, <=50K +40, Private, 125461, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +19, Private, 331556, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, ?, 138575, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 60, United-States, <=50K +35, Private, 223514, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +39, Private, 115418, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 2174, 0, 45, United-States, <=50K +38, Private, 193026, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 1408, 40, ?, <=50K +41, Private, 147206, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 174592, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 268620, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +70, Self-emp-not-inc, 150886, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K +45, Private, 112362, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +83, Private, 195507, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +59, Private, 192983, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 120544, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 15, United-States, <=50K +31, Private, 59083, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 208277, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +24, Local-gov, 184678, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 278736, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +48, Local-gov, 39464, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K +27, Private, 162343, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K +41, Private, 204046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 255647, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, Mexico, <=50K +53, Private, 123011, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +66, Self-emp-not-inc, 291362, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 159187, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +30, State-gov, 126414, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 227626, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-inc, 173783, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K +74, Private, 211075, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 176756, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1485, 70, United-States, >50K +35, Self-emp-not-inc, 31095, Some-college, 10, Separated, Farming-fishing, Not-in-family, White, Male, 4101, 0, 60, United-States, <=50K +51, Self-emp-not-inc, 32372, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 70, United-States, <=50K +40, Private, 331651, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 146325, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +26, Private, 515025, 10th, 6, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 394474, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +32, Private, 400535, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3781, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 337505, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +42, Private, 211860, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 102684, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +62, ?, 225657, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K +33, Private, 121966, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 396790, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +46, Local-gov, 149949, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 252187, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 209934, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +29, Federal-gov, 229300, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +33, Private, 170769, Doctorate, 16, Divorced, Sales, Not-in-family, White, Male, 99999, 0, 60, United-States, >50K +50, Private, 200618, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 216984, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +40, Private, 212760, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 150309, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K +54, Private, 174655, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 109621, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 225124, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 172695, 11th, 7, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 27, El-Salvador, <=50K +71, Self-emp-not-inc, 238479, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K +27, Private, 37754, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K +56, Private, 85018, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +64, Private, 256466, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Philippines, >50K +23, Private, 169188, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K +36, Private, 210945, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Local-gov, 287031, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Private, 224361, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Federal-gov, 108464, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 75826, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 120277, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 104439, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +27, Private, 56870, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 200819, 12th, 8, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 170562, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 20, United-States, <=50K +30, Private, 80933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 33088, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 112763, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 7430, 0, 36, United-States, >50K +29, Private, 177651, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 261943, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 169785, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Italy, <=50K +20, Private, 141481, 11th, 7, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 50, United-States, <=50K +37, Private, 433491, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 86615, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +39, Private, 125550, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +46, State-gov, 421223, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 26999, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +36, Self-emp-not-inc, 241998, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 20, United-States, >50K +34, ?, 133861, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +44, Private, 115323, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Self-emp-inc, 23778, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +28, Self-emp-not-inc, 190836, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Self-emp-inc, 159179, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +64, ?, 205479, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +19, ?, 47713, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 163237, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K +61, Private, 202202, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 168837, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 112271, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 52537, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 30, United-States, <=50K +27, Private, 38353, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 141698, 10th, 6, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 28856, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 175652, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 15, United-States, <=50K +36, Private, 213008, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 196501, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K +63, Private, 118798, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K +51, Private, 92463, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, State-gov, 125165, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +42, Self-emp-not-inc, 103980, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, ?, 180362, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 53903, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 179735, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +41, ?, 277390, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, >50K +49, Private, 122177, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 80, United-States, <=50K +46, Private, 188161, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 170108, HS-grad, 9, Separated, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 175262, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, Mexico, <=50K +19, ?, 204441, HS-grad, 9, Never-married, ?, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K +19, Private, 164395, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +18, Private, 115630, 11th, 7, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +39, Private, 178815, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +60, Self-emp-not-inc, 168223, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +46, Local-gov, 202560, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K +38, Private, 100295, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, Canada, >50K +36, Private, 172256, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K +45, Private, 51664, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, State-gov, 358893, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 2339, 40, United-States, <=50K +30, Private, 115963, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 333910, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +23, Private, 148948, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +48, State-gov, 130561, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K +46, Private, 428350, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +43, Private, 188808, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 112847, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, Other, Male, 0, 0, 40, United-States, <=50K +50, Private, 110748, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-inc, 156653, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +35, Private, 196491, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +65, Local-gov, 254413, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 91262, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, <=50K +43, Self-emp-not-inc, 154785, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 80, Thailand, <=50K +55, Private, 84231, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 226327, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 248406, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 32, United-States, <=50K +35, Private, 54317, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 50, United-States, <=50K +22, ?, 32732, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 95918, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 375675, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, >50K +43, Private, 244172, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +46, Federal-gov, 233555, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +39, Private, 326342, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 2635, 0, 37, United-States, <=50K +34, Private, 77271, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 20, England, <=50K +35, Private, 33397, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 446358, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 41, United-States, <=50K +25, Private, 151810, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 28, United-States, <=50K +44, Private, 125461, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +35, Private, 133906, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 155106, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Federal-gov, 203637, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +32, Private, 232766, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 305319, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 121023, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +29, Private, 198997, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K +38, Private, 167140, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K +20, Private, 38772, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 253759, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 130067, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +37, Private, 203828, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, State-gov, 221558, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 24, ?, <=50K +31, Private, 156464, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 72333, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +33, Local-gov, 83671, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K +31, Private, 339482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K +19, Private, 91928, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +44, Private, 99203, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-inc, 455995, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K +62, Private, 192515, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +65, Self-emp-not-inc, 111483, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2174, 10, United-States, >50K +17, Private, 221129, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 85413, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K +31, Private, 196125, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 265638, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 177727, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 205822, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 112607, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +40, Federal-gov, 177595, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K +18, Private, 183315, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 10, United-States, <=50K +47, Private, 116279, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +38, Federal-gov, 122493, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4064, 0, 40, United-States, <=50K +37, Private, 215419, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K +40, Private, 310101, Some-college, 10, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-inc, 61885, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K +43, Private, 59107, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K +32, Private, 227214, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, Ecuador, <=50K +64, Private, 239450, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 118847, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +40, Self-emp-not-inc, 95226, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +17, ?, 659273, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K +23, Private, 215395, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 170600, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 91044, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +27, Private, 318639, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, Mexico, <=50K +23, Private, 160398, Some-college, 10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 216824, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K +35, Private, 308945, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 75, United-States, <=50K +47, Private, 30840, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +33, Private, 99309, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 188576, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +46, Private, 83064, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 403865, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K +40, Private, 235786, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K +44, Private, 191893, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +31, Local-gov, 149184, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 97, United-States, >50K +37, Private, 152909, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K +23, Private, 435604, Assoc-voc, 11, Separated, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-inc, 109282, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K +31, Private, 248178, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, United-States, <=50K +24, ?, 112683, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +32, Private, 209103, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3464, 0, 40, United-States, <=50K +27, Private, 183639, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 107233, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, <=50K +27, Private, 175387, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K +30, Self-emp-not-inc, 178255, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, ?, <=50K +33, Self-emp-not-inc, 38223, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 70, United-States, <=50K +34, Private, 228873, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Private, 202182, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Local-gov, 425092, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 152587, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-inc, 39089, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 50, United-States, >50K +51, Private, 204304, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +40, Private, 116103, Some-college, 10, Separated, Craft-repair, Unmarried, White, Male, 4934, 0, 47, United-States, >50K +53, Private, 290640, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +58, Federal-gov, 81973, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 1485, 40, United-States, >50K +29, Private, 134890, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 452924, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +57, Private, 245193, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +69, State-gov, 34339, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 184756, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K +56, Private, 392160, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 25, Mexico, <=50K +49, Private, 168337, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 309513, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +70, Private, 77219, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K +44, Private, 212888, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +37, Private, 361888, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K +58, Local-gov, 237879, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 58, United-States, <=50K +42, Self-emp-not-inc, 93099, Some-college, 10, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K +41, Private, 225193, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 50814, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Local-gov, 123681, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K +24, Private, 249351, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 222311, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 7688, 0, 55, United-States, >50K +18, Private, 301762, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +50, Private, 195298, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +69, Private, 541737, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 2050, 0, 24, United-States, <=50K +84, Private, 241065, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 66, United-States, <=50K +47, Private, 129513, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +19, Private, 374262, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 382146, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +48, ?, 185291, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K +53, Private, 30447, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +58, Private, 49893, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 197387, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 24, Mexico, <=50K +36, Self-emp-not-inc, 111957, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, <=50K +34, Private, 340458, 12th, 8, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 185670, 1st-4th, 2, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 21, Mexico, <=50K +37, Private, 210945, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 24, United-States, <=50K +43, Private, 350661, Prof-school, 15, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 50, Columbia, >50K +42, Private, 190543, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +21, Private, 70261, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +49, Self-emp-not-inc, 179048, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Greece, <=50K +35, Private, 242094, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 117634, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +28, Private, 82531, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +51, Private, 193374, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +30, ?, 186420, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 323605, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +56, Private, 371064, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 39927, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K +22, Private, 64292, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K +33, Private, 198660, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 99999, 0, 56, United-States, >50K +54, ?, 196975, HS-grad, 9, Divorced, ?, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 210165, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +68, Private, 144137, Some-college, 10, Divorced, Priv-house-serv, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +56, Local-gov, 155657, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, ?, 72953, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +69, Self-emp-not-inc, 107548, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 163258, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 221324, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 444822, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, Mexico, <=50K +17, Private, 154398, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 16, Haiti, <=50K +31, Private, 120672, 11th, 7, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 1721, 40, United-States, <=50K +50, Private, 159650, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K +62, Private, 290754, 10th, 6, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 49654, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 52, United-States, <=50K +20, Federal-gov, 147352, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 227943, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +18, Private, 423024, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +53, ?, 64322, 7th-8th, 4, Separated, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 445940, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +23, Private, 230824, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 48882, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 168195, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +53, Local-gov, 188644, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +28, Private, 136077, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, State-gov, 119793, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 336513, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +58, Private, 186991, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, ?, 218948, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, Mexico, <=50K +26, Private, 211435, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 280169, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3456, 0, 8, United-States, <=50K +27, Private, 109997, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 286789, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 102460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 287160, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +39, Private, 198097, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +52, Private, 119111, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 174461, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +26, Self-emp-not-inc, 281678, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +24, ?, 377725, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 151053, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Local-gov, 186539, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +20, ?, 149478, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +40, Private, 198452, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 198863, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2559, 60, United-States, >50K +33, Private, 176711, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 165310, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +37, Private, 213008, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Japan, <=50K +21, State-gov, 38251, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K +33, Private, 125761, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K +28, Private, 148645, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 273435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K +43, Private, 208613, Bachelors, 13, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 192565, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 183885, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +47, Self-emp-not-inc, 243631, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +37, Private, 191754, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 261278, Some-college, 10, Separated, Sales, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K +55, Private, 127014, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 197919, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 217460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 86551, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Self-emp-inc, 98051, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, >50K +38, Private, 215917, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +53, Self-emp-not-inc, 192982, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 85, United-States, <=50K +27, Self-emp-not-inc, 334132, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 78, United-States, <=50K +42, Private, 136986, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Private, 116812, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 189123, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 58, United-States, <=50K +26, Private, 89648, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +33, ?, 190027, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +59, Private, 99248, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 57600, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +25, Private, 199224, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +58, Private, 140363, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K +30, Private, 308812, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +21, Private, 275421, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 213321, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 157747, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 182314, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +70, Private, 220589, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +55, ?, 208640, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K +29, Self-emp-not-inc, 189346, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 2202, 0, 50, United-States, <=50K +46, Private, 124071, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +35, Federal-gov, 20469, Some-college, 10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +31, Private, 154227, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K +37, Private, 105044, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +43, Private, 35910, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, >50K +23, Private, 189203, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 116493, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 13550, 0, 44, United-States, >50K +42, Local-gov, 19700, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +26, Private, 48718, 10th, 6, Never-married, Adm-clerical, Not-in-family, White, Female, 2907, 0, 40, United-States, <=50K +45, Private, 106113, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 256263, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, ?, 202498, 7th-8th, 4, Separated, ?, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +38, Private, 120074, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 122922, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +68, Self-emp-not-inc, 116903, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2149, 40, United-States, <=50K +42, Local-gov, 222596, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 107302, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, India, <=50K +36, Private, 156400, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 53373, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +22, Private, 58916, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +45, Local-gov, 167159, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 283806, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 140426, 1st-4th, 2, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 35, ?, <=50K +36, Local-gov, 61778, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +41, Private, 33310, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Self-emp-not-inc, 202560, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K +25, Self-emp-not-inc, 60828, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 50, United-States, <=50K +53, State-gov, 153486, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Local-gov, 167536, Assoc-acdm, 12, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +30, Local-gov, 370990, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 198867, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 174924, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 48, Germany, <=50K +30, Private, 175856, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K +41, Private, 169628, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, ?, <=50K +29, ?, 125159, Some-college, 10, Never-married, ?, Not-in-family, Black, Male, 0, 0, 36, ?, <=50K +31, Private, 220690, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +36, Private, 160035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3908, 0, 55, United-States, <=50K +59, Self-emp-not-inc, 116878, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Greece, <=50K +33, Self-emp-not-inc, 134737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 81648, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K +49, State-gov, 122177, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Federal-gov, 69614, 10th, 6, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +33, Private, 112115, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K +28, Private, 299422, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +81, ?, 162882, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 112854, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +32, Self-emp-not-inc, 33417, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Federal-gov, 224559, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K +44, ?, 468706, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +24, Private, 357028, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 51158, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 7298, 0, 36, United-States, >50K +51, Private, 186303, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 127749, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 291386, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 138054, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 174533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 200835, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 108658, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +43, Private, 180985, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +25, Private, 34803, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K +59, Private, 75867, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, Private, 156819, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 61272, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Portugal, <=50K +24, Private, 39827, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Puerto-Rico, <=50K +38, Private, 130007, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 80324, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +26, Private, 322614, Preschool, 1, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 1719, 40, Mexico, <=50K +30, Private, 140869, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +73, Local-gov, 181902, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, Poland, >50K +30, Private, 287908, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 309630, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 28225, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 58, United-States, <=50K +40, ?, 428584, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 3464, 0, 20, United-States, <=50K +18, Private, 39222, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 359131, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 8, ?, >50K +22, Private, 122272, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-inc, 198400, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, <=50K +62, ?, 73091, 7th-8th, 4, Widowed, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-inc, 283338, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +22, Private, 208946, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 348416, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 379046, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +29, Private, 183887, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 127961, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Private, 211129, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +29, Local-gov, 187649, HS-grad, 9, Separated, Protective-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +49, Federal-gov, 94754, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 231826, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +28, Private, 142764, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +22, Private, 126822, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 60, United-States, <=50K +37, Private, 188069, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 284395, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 31267, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 161444, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Columbia, <=50K +25, Private, 144483, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 133655, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, State-gov, 112074, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +21, Private, 249727, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 22, United-States, <=50K +18, Private, 165754, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +30, Local-gov, 172822, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 288433, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 33331, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 168071, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, <=50K +45, Private, 207277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Private, 130620, Some-college, 10, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 26, India, <=50K +40, Private, 136244, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 972354, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K +20, Private, 245297, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +32, State-gov, 71151, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K +19, Private, 118352, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +21, Private, 117210, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 120068, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 48343, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 84451, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +51, ?, 76437, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 281704, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +54, Private, 123011, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +50, Private, 104729, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 48, United-States, <=50K +29, Private, 110134, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 186067, 10th, 6, Never-married, Tech-support, Own-child, White, Male, 0, 0, 10, United-States, <=50K +47, Private, 214702, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 37, Puerto-Rico, <=50K +46, Private, 384795, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +30, Private, 175931, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, <=50K +58, Private, 366324, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K +48, Private, 118717, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 219835, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +23, Private, 176486, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 36, United-States, <=50K +45, Private, 273435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 182661, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +26, Private, 212304, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K +50, Local-gov, 133963, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K +49, Private, 165152, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K +26, Private, 274724, Some-college, 10, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Nicaragua, <=50K +47, Private, 196707, Prof-school, 15, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 213002, 12th, 8, Never-married, Sales, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K +19, ?, 26620, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 361481, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K +35, Private, 148581, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +46, Private, 459189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 50, United-States, >50K +28, Self-emp-not-inc, 214689, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 289364, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K +21, Private, 174907, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 348099, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +30, ?, 104965, 9th, 5, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +31, Private, 31600, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 286282, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K +35, Self-emp-not-inc, 181705, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K +33, Private, 238912, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +34, Private, 134737, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K +67, ?, 157403, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 6418, 0, 10, United-States, >50K +37, Private, 197429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K +48, Private, 47343, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Federal-gov, 67083, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 1471, 0, 40, Cambodia, <=50K +24, Private, 249957, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 175942, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, France, <=50K +50, Private, 192982, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1848, 40, United-States, >50K +40, Private, 209547, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K +33, Private, 142675, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +51, Federal-gov, 190333, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 196396, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 166740, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Local-gov, 174533, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 210867, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, ?, <=50K +37, Private, 118486, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 4934, 0, 32, United-States, >50K +40, Private, 144067, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 106964, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 178136, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 196554, Prof-school, 15, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, >50K +40, Self-emp-not-inc, 403550, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 498216, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 192755, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 20, United-States, >50K +20, ?, 53738, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 156192, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +45, Private, 189802, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, ?, 213149, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 1825, 40, United-States, >50K +35, Self-emp-not-inc, 179171, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 38, Germany, <=50K +32, Private, 77634, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 189830, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K +19, Private, 127190, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +44, ?, 174147, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 138107, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +44, Self-emp-inc, 269733, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +41, State-gov, 227734, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3464, 0, 40, United-States, <=50K +19, Private, 318822, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 48885, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +45, Private, 205424, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +40, Private, 173858, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 42, Cambodia, <=50K +34, Private, 202450, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +20, Private, 154779, Some-college, 10, Never-married, Sales, Other-relative, Other, Female, 0, 0, 40, United-States, <=50K +33, Private, 180551, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 177522, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 277328, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, Cuba, <=50K +34, Private, 112584, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +48, State-gov, 85384, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +32, ?, 123971, 11th, 7, Divorced, ?, Not-in-family, White, Female, 0, 0, 49, United-States, <=50K +42, Private, 69019, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +22, Private, 112847, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 52900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K +42, Private, 37937, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +45, Private, 59380, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +47, Private, 114770, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K +29, Private, 216481, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +34, Private, 176469, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +34, Private, 176831, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K +39, Federal-gov, 410034, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 93662, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +42, Self-emp-inc, 144236, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +48, Private, 240917, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +53, Private, 608184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1902, 40, United-States, >50K +51, Private, 243361, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +44, Self-emp-not-inc, 35166, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 90, United-States, <=50K +46, Self-emp-inc, 182655, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +51, Private, 142717, Doctorate, 16, Divorced, Craft-repair, Not-in-family, White, Female, 4787, 0, 60, United-States, >50K +32, Private, 272944, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, ?, 219233, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 1602, 30, United-States, <=50K +24, Private, 228686, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 236818, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 26, United-States, <=50K +47, Self-emp-not-inc, 117865, HS-grad, 9, Married-AF-spouse, Craft-repair, Husband, White, Male, 0, 0, 90, United-States, <=50K +64, Self-emp-not-inc, 106538, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +62, Private, 153891, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 190909, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 191002, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, Poland, <=50K +42, Private, 89073, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K +38, Federal-gov, 238342, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 42, United-States, >50K +55, Private, 259532, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, ?, 189282, HS-grad, 9, Married-civ-spouse, ?, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K +42, Private, 132481, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +30, Private, 205659, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, Thailand, >50K +32, Private, 182323, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, ?, 216256, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3464, 0, 30, United-States, <=50K +50, Federal-gov, 166419, 11th, 7, Never-married, Sales, Not-in-family, Black, Female, 3674, 0, 40, United-States, <=50K +27, Private, 152246, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +47, Private, 155659, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 155198, 9th, 5, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +48, Self-emp-not-inc, 100931, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 162945, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +31, Federal-gov, 334346, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 181597, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 133969, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 63, South, <=50K +50, Private, 210217, Bachelors, 13, Divorced, Sales, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +49, Private, 169711, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, >50K +57, ?, 300104, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 7298, 0, 84, United-States, >50K +19, Private, 271521, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 24, United-States, <=50K +18, Private, 51255, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +44, Self-emp-not-inc, 26669, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 99, United-States, <=50K +54, Private, 194580, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, State-gov, 177974, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +27, State-gov, 315640, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K +50, Self-emp-inc, 136913, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, State-gov, 230961, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 167062, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 120131, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K +30, Private, 171876, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +19, Private, 136866, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 316820, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1485, 40, United-States, <=50K +55, Private, 185459, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +67, ?, 81761, HS-grad, 9, Divorced, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 43716, Assoc-voc, 11, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 43, United-States, <=50K +30, Private, 220939, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, ?, 148657, Preschool, 1, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K +51, Federal-gov, 40808, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 43, United-States, <=50K +34, Private, 183473, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 108496, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +50, Private, 204838, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +29, Private, 132686, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +17, State-gov, 117906, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 304386, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +52, ?, 248113, Preschool, 1, Married-spouse-absent, ?, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +39, Private, 165215, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 18, United-States, >50K +18, ?, 215463, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +32, Private, 259719, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, Nicaragua, <=50K +25, ?, 35829, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +34, Private, 248795, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +44, Self-emp-not-inc, 124692, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +37, Local-gov, 128054, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 179731, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2415, 65, United-States, >50K +32, Self-emp-inc, 113543, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 252153, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +45, Federal-gov, 45891, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 42, United-States, <=50K +30, Private, 112263, 11th, 7, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 47791, 12th, 8, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +41, Private, 202980, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, Peru, <=50K +21, Private, 34918, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +48, Private, 91251, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, China, <=50K +31, Private, 132996, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 45, United-States, >50K +34, Private, 306215, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 203570, HS-grad, 9, Separated, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 355918, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +35, Self-emp-not-inc, 198841, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Private, 282964, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 312197, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, Mexico, >50K +44, Private, 98779, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 60, United-States, <=50K +32, Private, 200246, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 182771, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +23, Private, 199908, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 172104, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Other, Male, 0, 0, 40, India, >50K +53, Self-emp-not-inc, 35295, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, >50K +27, Private, 216858, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +27, Private, 332187, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +57, Private, 255109, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +17, Private, 111332, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +59, Local-gov, 238431, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +34, Private, 131552, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 110239, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +31, State-gov, 255830, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 45, United-States, <=50K +18, ?, 175648, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 82998, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 164320, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Self-emp-not-inc, 263498, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 162381, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 229651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 357348, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +19, Private, 269657, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +38, Local-gov, 82880, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, United-States, <=50K +19, Private, 389755, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K +34, Private, 195136, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 40, United-States, >50K +41, Private, 207685, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, ?, <=50K +23, Private, 222925, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 2105, 0, 40, United-States, <=50K +24, ?, 196388, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K +24, Private, 50341, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 214134, 10th, 6, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 84, United-States, <=50K +45, Private, 114032, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +45, Private, 192053, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +48, Private, 240231, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K +42, Private, 44402, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +35, Self-emp-not-inc, 191503, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 163530, HS-grad, 9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 136823, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 32, United-States, <=50K +59, Private, 121912, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Local-gov, 58624, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Local-gov, 74056, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 144259, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 4386, 0, 80, ?, >50K +57, Private, 182028, Assoc-acdm, 12, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +40, Private, 209040, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 206046, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 182494, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 185057, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Scotland, <=50K +60, Private, 147473, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Local-gov, 221722, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14344, 0, 50, United-States, >50K +20, ?, 388811, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 221912, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 48189, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, State-gov, 382272, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 48347, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 143046, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 38, United-States, >50K +63, Self-emp-inc, 137940, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +28, Private, 249571, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +79, Private, 121318, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K +39, Private, 224531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +29, Private, 185019, 12th, 8, Never-married, Other-service, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K +60, Private, 27886, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 94741, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K +20, Private, 107801, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 2205, 18, United-States, <=50K +44, Private, 191256, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K +47, Private, 256866, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +59, Private, 197148, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 24, United-States, >50K +37, Private, 312271, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +21, Private, 118657, HS-grad, 9, Separated, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 224338, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 242488, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 40, United-States, <=50K +23, ?, 234970, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 227915, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 33, United-States, <=50K +40, Local-gov, 105717, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1876, 35, United-States, <=50K +45, Self-emp-not-inc, 160962, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +34, ?, 353881, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 3103, 0, 60, United-States, >50K +22, Private, 188950, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 201328, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 218678, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K +23, Private, 184255, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +39, Federal-gov, 200968, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 45, United-States, >50K +26, Private, 102264, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 300584, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 208946, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K +36, Private, 105021, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +20, Private, 124751, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 20, United-States, <=50K +18, Private, 274057, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 8, United-States, <=50K +38, Private, 132879, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Self-emp-inc, 260960, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +56, Private, 208415, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +42, Private, 356934, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 154410, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 35378, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +73, Private, 301210, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1735, 20, United-States, <=50K +32, Private, 73621, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +37, Private, 108140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K +66, Private, 217198, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 10, United-States, <=50K +22, Private, 157332, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +51, Private, 202956, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 173495, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +65, Private, 149811, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 2206, 59, Canada, <=50K +39, Private, 444219, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 45, United-States, <=50K +48, Private, 125120, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K +20, Private, 190429, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, ?, 190303, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 248164, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 50, United-States, >50K +29, Federal-gov, 208534, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K +36, Self-emp-not-inc, 343721, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, ?, >50K +35, Self-emp-inc, 196373, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Private, 433788, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +48, State-gov, 122086, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 137314, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +40, Self-emp-not-inc, 33068, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Private, 210688, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K +26, Local-gov, 117833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 35, United-States, <=50K +37, State-gov, 103474, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 115880, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Self-emp-not-inc, 233933, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +42, Private, 52781, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 586657, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Japan, >50K +62, Private, 113080, 7th-8th, 4, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 251905, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K +76, Self-emp-not-inc, 225964, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K +20, ?, 194096, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 263831, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 133136, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 121634, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +22, Self-emp-inc, 40767, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Federal-gov, 355789, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K +43, Local-gov, 311914, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 91189, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +44, Federal-gov, 344060, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 113823, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, State-gov, 185800, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 7430, 0, 40, United-States, >50K +30, Private, 76107, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +23, Private, 117618, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +39, Private, 238008, HS-grad, 9, Widowed, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 136480, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +50, Private, 285200, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 35, United-States, >50K +19, Private, 351040, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K +35, Private, 1226583, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K +23, Private, 195767, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 187540, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 79372, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 226665, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 42, United-States, >50K +52, Private, 213209, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 211005, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 60, United-States, <=50K +24, Private, 96178, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 328216, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +39, Private, 110713, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Self-emp-not-inc, 225456, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +62, Local-gov, 159908, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1258, 38, United-States, <=50K +43, Private, 118308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +45, Private, 180309, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 39630, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 273828, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +56, Private, 172071, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K +28, Private, 218887, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +23, Private, 664670, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 209149, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +26, Private, 84619, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 447346, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +55, Local-gov, 37869, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +48, State-gov, 99086, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +43, Private, 143582, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 2129, 72, ?, <=50K +38, Private, 326886, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +18, Private, 181755, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +56, Self-emp-not-inc, 249368, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +39, Self-emp-not-inc, 326400, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 504725, 5th-6th, 3, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K +36, Private, 88967, 11th, 7, Never-married, Transport-moving, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K +42, Self-emp-not-inc, 170721, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 40, United-States, <=50K +50, Private, 148953, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 342752, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +57, Private, 220871, 7th-8th, 4, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +73, Private, 29675, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 12, United-States, <=50K +50, Federal-gov, 183611, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 115215, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 152231, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +24, ?, 41356, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 225142, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Self-emp-not-inc, 121313, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 134821, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 311350, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 102106, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 427055, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, Mexico, <=50K +40, Private, 117860, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +58, Private, 285885, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 212800, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 194864, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 18, United-States, <=50K +36, Private, 31438, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K +46, Private, 148254, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +69, Private, 113035, 1st-4th, 2, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 4, United-States, <=50K +69, Private, 106595, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 1848, 0, 40, United-States, <=50K +28, Private, 144521, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 172232, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 48, United-States, <=50K +54, State-gov, 123592, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 3887, 0, 35, United-States, <=50K +25, Private, 191921, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +64, Local-gov, 237379, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3471, 0, 40, United-States, <=50K +17, Private, 208463, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +53, Federal-gov, 68985, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 22418, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +57, Private, 163047, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 38, United-States, <=50K +51, Private, 153870, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2603, 40, United-States, <=50K +20, ?, 124954, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 197702, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 166415, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 52, United-States, <=50K +50, State-gov, 116211, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K +20, Private, 33644, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +43, State-gov, 33331, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 70, United-States, >50K +46, Private, 73019, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 169182, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, Puerto-Rico, <=50K +53, Private, 20438, Some-college, 10, Separated, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 15, United-States, <=50K +21, Private, 109869, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K +58, Private, 316849, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 208043, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +61, Private, 153790, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +56, State-gov, 153451, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +59, Private, 96840, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +72, Private, 192732, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K +33, Private, 209101, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 146919, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +46, Local-gov, 192323, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, >50K +48, Private, 217019, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K +33, Private, 198211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 222490, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 106758, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +31, Private, 561334, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 203710, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Local-gov, 203322, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +51, Private, 123703, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K +46, State-gov, 312015, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 209428, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, El-Salvador, <=50K +61, Private, 230292, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K +17, Private, 114420, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +26, Private, 120238, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +35, Private, 100375, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +33, Self-emp-not-inc, 42485, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +37, Private, 130620, 12th, 8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 33, ?, <=50K +39, Local-gov, 134367, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +42, Private, 147099, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +35, Private, 36214, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 47, United-States, >50K +45, Private, 119904, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +47, Self-emp-inc, 105779, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, >50K +64, Private, 165020, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +39, Private, 187098, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 47, United-States, >50K +43, ?, 142030, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 241360, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K +62, Private, 121319, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K +53, Private, 151580, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +31, Private, 162572, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 35917, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 35723, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +43, Private, 194773, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 62155, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +45, Self-emp-not-inc, 192203, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K +46, Private, 174370, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +26, Private, 161007, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 80, United-States, <=50K +24, Private, 270517, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +43, Private, 163847, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Private, 193882, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 160037, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +34, Federal-gov, 189944, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 72, United-States, <=50K +85, Private, 115364, HS-grad, 9, Widowed, Sales, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +41, Private, 163174, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, State-gov, 188900, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 3325, 0, 35, United-States, <=50K +22, Private, 214399, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +60, Private, 156616, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 204862, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +34, ?, 55921, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, State-gov, 172475, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 2977, 0, 45, United-States, <=50K +24, Private, 153082, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +45, Local-gov, 195418, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +21, Local-gov, 276840, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +30, Private, 97933, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 1485, 37, United-States, >50K +50, Self-emp-inc, 119099, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K +41, Self-emp-not-inc, 83411, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 198992, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K +45, Private, 337825, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +34, Private, 192002, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 189346, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 231962, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 164488, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K +48, Private, 200471, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +69, Private, 228921, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 2282, 40, United-States, >50K +41, Private, 184846, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 233851, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 499001, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +65, Local-gov, 125768, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +31, Private, 255004, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1741, 38, United-States, <=50K +28, Private, 157624, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 146767, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 118291, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K +43, Private, 313181, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Black, Male, 0, 0, 38, United-States, <=50K +31, Private, 87891, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 226443, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +45, Private, 81132, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +20, Private, 216436, Bachelors, 13, Never-married, Sales, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K +25, Private, 213412, Bachelors, 13, Never-married, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 179358, HS-grad, 9, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +31, Private, 369825, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 4101, 0, 50, United-States, <=50K +56, Private, 199763, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +26, Private, 239390, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K +47, Self-emp-not-inc, 173613, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +40, Self-emp-inc, 37869, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 302845, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 48, United-States, <=50K +34, State-gov, 85218, Masters, 14, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K +37, Private, 48268, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +38, Private, 173968, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 70982, Assoc-voc, 11, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 16, United-States, <=50K +49, Private, 166857, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, ?, 256191, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +26, Private, 162872, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +82, Private, 152148, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 2, United-States, <=50K +40, Private, 139193, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 791084, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 137214, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 37, United-States, <=50K +19, Private, 183258, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 154035, HS-grad, 9, Widowed, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 32, United-States, <=50K +43, Private, 115323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K +41, Private, 213055, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 50, United-States, <=50K +37, Private, 155064, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 33551, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 169995, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 168262, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K +40, Private, 104196, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 114055, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 274398, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +78, ?, 27979, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2228, 0, 32, United-States, <=50K +67, ?, 244122, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K +49, Private, 196571, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +66, Private, 101607, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +52, Private, 122109, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 0, 323, 40, United-States, <=50K +59, Self-emp-inc, 255822, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +72, Private, 195184, HS-grad, 9, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 12, Cuba, <=50K +35, Federal-gov, 245372, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 169583, Bachelors, 13, Married-AF-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Private, 224531, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 186151, HS-grad, 9, Separated, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 118693, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +39, Private, 297449, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 125206, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 393264, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 108140, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +63, Private, 264968, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 318106, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 156025, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, State-gov, 149455, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 359985, 5th-6th, 3, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 33, Mexico, <=50K +44, State-gov, 165108, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 115178, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +21, Private, 149224, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K +41, Local-gov, 352056, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 174717, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +75, ?, 173064, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K +29, Private, 147755, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K +52, Self-emp-not-inc, 135716, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +47, Private, 44216, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +28, Private, 37359, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +24, Private, 178255, Some-college, 10, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 40, ?, <=50K +30, State-gov, 70617, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 10, China, <=50K +30, Private, 154950, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +40, Private, 356934, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +27, Private, 271714, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +26, Private, 247025, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 44, United-States, <=50K +32, Private, 107417, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +36, State-gov, 116554, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 917220, 12th, 8, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 430084, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 202937, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, Poland, <=50K +27, Private, 62737, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 508548, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Self-emp-inc, 275223, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +35, Self-emp-not-inc, 381931, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +29, Private, 246974, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 105431, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 146311, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 159869, Doctorate, 16, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 204641, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 66297, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K +38, Private, 227615, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +66, ?, 107744, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 360393, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +19, Private, 263340, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +18, Private, 141918, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 22, United-States, <=50K +37, Private, 294292, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 128736, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Local-gov, 511289, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K +27, Private, 302406, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Local-gov, 101517, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +54, State-gov, 161334, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K +24, Self-emp-inc, 189148, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 103111, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +48, Self-emp-not-inc, 51620, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 31606, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 34292, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 38, United-States, <=50K +21, Private, 107882, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 9, United-States, <=50K +18, Private, 39529, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K +18, Private, 135315, 9th, 5, Never-married, Sales, Own-child, Other, Female, 0, 0, 32, United-States, <=50K +29, Private, 107812, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 229729, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 111891, HS-grad, 9, Separated, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +32, Private, 340917, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 202952, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K +79, Private, 333230, HS-grad, 9, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K +34, Private, 114955, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 159869, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Self-emp-not-inc, 57758, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +29, Private, 207064, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 193090, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K +64, Private, 151364, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +70, Local-gov, 88638, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 7896, 0, 50, United-States, >50K +28, Local-gov, 304960, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K +51, Private, 102828, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Greece, <=50K +20, ?, 210029, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, State-gov, 154246, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 4865, 0, 55, United-States, <=50K +29, Private, 142519, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 104455, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +77, Self-emp-inc, 192230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 292592, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +27, Private, 330132, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +22, Private, 51111, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Local-gov, 258037, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, >50K +42, Local-gov, 188291, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, United-States, >50K +35, State-gov, 349066, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +62, ?, 191188, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 133503, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 2635, 0, 16, United-States, <=50K +45, Private, 146497, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +19, Private, 240468, Some-college, 10, Married-spouse-absent, Sales, Own-child, White, Female, 0, 1602, 40, United-States, <=50K +38, Private, 175120, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 416577, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 45, United-States, <=50K +29, Private, 253814, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +33, Private, 159247, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Self-emp-not-inc, 102471, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 80, Puerto-Rico, <=50K +42, Private, 213464, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 211968, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +43, Federal-gov, 32016, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +69, Private, 512992, 11th, 7, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 45, United-States, <=50K +39, Private, 135020, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 109133, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, <=50K +28, Private, 142712, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Federal-gov, 76900, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 112176, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +43, Federal-gov, 262233, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +49, Private, 122066, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, Hungary, <=50K +28, Private, 194690, 7th-8th, 4, Separated, Other-service, Own-child, White, Male, 0, 0, 60, Mexico, <=50K +35, Private, 306678, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2885, 0, 40, United-States, <=50K +19, ?, 217769, Some-college, 10, Never-married, ?, Own-child, White, Female, 594, 0, 10, United-States, <=50K +35, Local-gov, 308945, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 46699, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 377757, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 220993, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1590, 48, United-States, <=50K +45, Private, 102147, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 113770, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 139012, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +45, Private, 148900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Federal-gov, 329426, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +64, Self-emp-inc, 181408, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K +44, Local-gov, 101950, Prof-school, 15, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 32537, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 209547, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 202373, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +29, Self-emp-not-inc, 151476, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 174824, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +22, Private, 138768, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 143482, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 200190, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K +38, Private, 168407, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 5721, 0, 44, United-States, <=50K +23, Private, 148315, Some-college, 10, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 270517, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +40, Private, 53506, Bachelors, 13, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 105693, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 189589, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 164574, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +37, Private, 185744, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, <=50K +40, Local-gov, 33155, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 215955, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K +38, Self-emp-not-inc, 233571, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 211253, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Federal-gov, 191385, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K +20, Private, 137895, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +62, State-gov, 159699, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K +31, Private, 295922, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 175856, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 216129, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +62, Local-gov, 407669, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +43, Local-gov, 214242, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 285457, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K +30, Self-emp-inc, 124420, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +22, ?, 246386, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 142751, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Local-gov, 283635, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Self-emp-not-inc, 322931, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 40, United-States, >50K +49, Private, 76482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, State-gov, 431745, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +48, Private, 141944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K +32, Private, 193042, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K +33, Private, 67006, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +23, Private, 240398, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K +33, Federal-gov, 182714, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, >50K +50, Federal-gov, 172046, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 185177, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, <=50K +32, Private, 102858, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 42, United-States, <=50K +39, Private, 84954, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 65, United-States, <=50K +21, Private, 115895, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 184589, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 21, United-States, <=50K +32, Private, 282611, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 218649, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, State-gov, 157541, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +70, Private, 145419, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 5, United-States, <=50K +34, Private, 122616, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 84, United-States, >50K +53, Private, 204584, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 117210, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 69481, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 148492, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 50, United-States, >50K +23, Private, 106957, 11th, 7, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 14344, 0, 40, Vietnam, >50K +32, Private, 29312, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K +57, Private, 120302, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +65, ?, 111916, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 182227, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +30, Private, 219110, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K +31, Private, 200192, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K +19, Private, 427862, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +23, State-gov, 33551, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, <=50K +44, Private, 164043, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, ?, 116632, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, >50K +42, Private, 175133, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 289731, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 256362, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 282612, Assoc-voc, 11, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 73679, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 237824, HS-grad, 9, Married-spouse-absent, Priv-house-serv, Other-relative, Black, Female, 0, 0, 60, Jamaica, <=50K +36, Local-gov, 357720, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 155489, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, Poland, <=50K +44, Private, 138077, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +42, Private, 183479, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 103596, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K +33, Private, 172304, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 313853, Bachelors, 13, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 45, United-States, >50K +17, Private, 294485, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 637080, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +32, Private, 385959, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +33, Self-emp-not-inc, 116539, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 129263, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +60, Private, 141253, 10th, 6, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +35, State-gov, 35626, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +43, Federal-gov, 94937, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 220269, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Self-emp-not-inc, 169544, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K +36, Private, 214604, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K +27, Private, 81540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 24013, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 84, United-States, >50K +22, Private, 124940, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 44, United-States, <=50K +33, State-gov, 313729, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +61, Private, 192237, 10th, 6, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, ?, 168524, Assoc-voc, 11, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 113324, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K +22, Private, 215477, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 199903, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 431861, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 105938, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 1602, 20, United-States, <=50K +28, Private, 274679, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 177499, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 1590, 35, United-States, <=50K +28, Private, 206125, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 221740, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K +58, Private, 202652, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +39, Private, 348960, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 171876, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 157932, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Private, 201344, Bachelors, 13, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 20, United-States, <=50K +38, Private, 354739, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 36, Philippines, >50K +34, Private, 40067, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 326862, Some-college, 10, Divorced, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +48, Local-gov, 189762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +65, ?, 149049, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 226246, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +80, ?, 29020, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 10605, 0, 10, United-States, >50K +23, Private, 38251, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 196385, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K +38, Self-emp-not-inc, 217054, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 104973, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Local-gov, 238959, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 9562, 0, 40, United-States, >50K +40, State-gov, 34218, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Local-gov, 292962, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +45, Private, 235924, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 98656, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +70, Private, 102610, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +32, Local-gov, 296466, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 323069, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 184756, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Local-gov, 233993, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K +22, Private, 130724, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +52, Self-emp-inc, 181855, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 99999, 0, 65, United-States, >50K +67, Self-emp-not-inc, 127543, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2414, 0, 80, United-States, <=50K +40, Private, 187164, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 45, United-States, <=50K +55, Private, 113912, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, <=50K +29, Private, 216479, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +62, Private, 135480, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 16, United-States, <=50K +22, Private, 204160, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +64, State-gov, 114650, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 240172, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 184831, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 124590, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +47, State-gov, 120429, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +26, Private, 202033, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 156874, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 27, United-States, <=50K +52, Self-emp-inc, 177727, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 45, United-States, <=50K +48, Local-gov, 334409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +36, Private, 311255, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Haiti, <=50K +23, Private, 214227, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +41, Private, 115849, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, State-gov, 671292, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, >50K +53, Private, 31460, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 141824, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 310152, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +25, Private, 179953, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 2597, 0, 31, United-States, <=50K +31, Private, 137952, Some-college, 10, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K +36, Private, 103323, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2829, 0, 40, United-States, <=50K +46, Private, 174426, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, State-gov, 192779, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Male, 0, 2258, 38, United-States, >50K +32, Private, 169955, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 36, Puerto-Rico, <=50K +43, Self-emp-not-inc, 48087, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 132601, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +41, Self-emp-inc, 253060, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K +50, Private, 108435, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 60, United-States, >50K +37, State-gov, 210452, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K +22, Local-gov, 134181, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +51, Federal-gov, 45487, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, <=50K +47, Private, 183522, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K +40, Private, 199303, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 83064, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 134997, Some-college, 10, Separated, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +30, Private, 44419, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 442612, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +31, Local-gov, 158092, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +31, Private, 374833, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 112650, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 183390, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +27, Private, 207418, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +22, ?, 335453, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 16, United-States, <=50K +29, Private, 243660, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 54243, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +54, Private, 50385, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, >50K +47, State-gov, 187581, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K +34, Private, 37380, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 247025, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, ?, 29231, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K +23, State-gov, 101094, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 60, United-States, <=50K +42, Local-gov, 176716, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 118429, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +52, Federal-gov, 221532, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K +22, ?, 120572, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Local-gov, 124680, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 153160, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 114678, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 5455, 0, 40, United-States, <=50K +49, State-gov, 142856, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 29702, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +20, Private, 277700, Preschool, 1, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K +55, Self-emp-inc, 67433, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +47, Private, 121124, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 394447, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 33, United-States, >50K +36, Private, 79649, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 203763, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 80, United-States, <=50K +55, Private, 229029, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 48, United-States, >50K +21, ?, 494638, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K +48, Private, 162816, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 109117, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K +24, Private, 32732, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Self-emp-not-inc, 217692, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +20, Private, 34590, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K +18, ?, 276864, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 20, United-States, <=50K +56, Private, 168625, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K +36, Private, 91037, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +44, Private, 171484, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 200453, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K +57, Private, 36990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 52, United-States, <=50K +33, Private, 198211, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, ?, 30475, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 70995, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 99, United-States, >50K +28, Private, 245790, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 273324, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1721, 16, United-States, <=50K +60, Private, 182687, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Local-gov, 247807, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +58, Private, 163113, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, >50K +50, Private, 180522, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +23, Local-gov, 203353, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 12, United-States, <=50K +30, Private, 87469, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 216563, 11th, 7, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +90, Private, 87372, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 72, United-States, >50K +49, Local-gov, 173584, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +47, Local-gov, 80282, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3137, 0, 40, United-States, <=50K +34, Private, 319854, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Taiwan, >50K +37, Federal-gov, 408229, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 431307, 10th, 6, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 50, United-States, <=50K +37, Private, 134088, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 246396, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K +34, Private, 159255, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +34, Private, 106014, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 186934, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +39, Private, 120130, Some-college, 10, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, State-gov, 203849, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 19, United-States, <=50K +24, Private, 207940, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K +28, Private, 302406, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +41, Self-emp-not-inc, 144594, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2179, 40, United-States, <=50K +69, ?, 171050, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K +32, Private, 459007, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 90, United-States, <=50K +58, Private, 372181, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K +47, Self-emp-not-inc, 172034, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 75, United-States, >50K +41, Private, 156566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K +35, Self-emp-inc, 338320, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 353696, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, Canada, <=50K +46, Self-emp-not-inc, 342907, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K +69, Self-emp-inc, 169717, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6418, 0, 45, United-States, >50K +22, Private, 103762, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, State-gov, 47570, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 119432, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Local-gov, 144165, Bachelors, 13, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K +35, Private, 180647, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +37, Local-gov, 312232, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 5178, 0, 40, United-States, >50K +35, State-gov, 150488, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 200876, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 16, United-States, <=50K +43, Private, 188199, 9th, 5, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +53, State-gov, 118793, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Local-gov, 204325, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K +29, Private, 256671, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 231515, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 47, Cuba, <=50K +24, Private, 100669, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K +30, Private, 88913, Some-college, 10, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +23, Private, 363219, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K +27, ?, 291547, Bachelors, 13, Married-civ-spouse, ?, Not-in-family, Other, Female, 0, 0, 6, Mexico, <=50K +36, Private, 308945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 100316, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +33, Private, 296453, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 15, United-States, <=50K +66, Private, 298834, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Canada, <=50K +45, Self-emp-not-inc, 188694, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +68, ?, 29240, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +37, Private, 186934, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K +17, Private, 154908, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +31, Private, 22201, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K +46, Private, 216999, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +40, Private, 186916, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 116677, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 95763, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +42, Private, 266710, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 41, United-States, <=50K +46, Private, 117849, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +30, Private, 242460, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +33, Self-emp-not-inc, 202729, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 181652, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 174760, Assoc-acdm, 12, Married-spouse-absent, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +34, Private, 56121, 11th, 7, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 390369, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 149726, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 51262, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 190350, 12th, 8, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, ?, <=50K +53, Federal-gov, 205288, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 35, United-States, >50K +36, Private, 154835, HS-grad, 9, Separated, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +45, Private, 89028, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 10520, 0, 40, United-States, >50K +36, Private, 194630, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, Self-emp-not-inc, 212207, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 11, United-States, <=50K +27, Private, 204788, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 158688, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 97723, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 193026, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Self-emp-not-inc, 257250, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 75, United-States, <=50K +48, Private, 355978, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 200574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K +21, Private, 376929, 5th-6th, 3, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +47, State-gov, 123219, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +41, Private, 82778, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +61, Self-emp-not-inc, 115882, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +64, Private, 103021, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 297767, Some-college, 10, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +44, Private, 259479, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 167787, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +23, Local-gov, 40021, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 70, United-States, <=50K +52, Private, 245275, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K +43, Private, 37402, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +32, Private, 103608, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +63, Private, 137192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +29, Private, 137618, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 41, United-States, >50K +42, Self-emp-inc, 96509, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Taiwan, <=50K +65, Private, 196174, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +24, Private, 172612, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 141186, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 228190, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-inc, 190290, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, >50K +38, Federal-gov, 307404, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 152436, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +46, Self-emp-not-inc, 182541, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 50, United-States, <=50K +39, Private, 282153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +29, ?, 41281, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +42, Private, 162003, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 36, United-States, >50K +36, Private, 190759, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Private, 208122, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +57, Private, 173832, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +55, Private, 129173, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 287548, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +41, Private, 216116, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +24, Private, 146706, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +47, Private, 285200, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-inc, 314375, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +44, Private, 203943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 35, United-States, >50K +18, ?, 274746, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +27, Private, 517000, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +36, Private, 66173, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +21, Private, 182823, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +29, Private, 159479, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 55, United-States, <=50K +25, Private, 135568, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +73, Private, 333676, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 201699, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 96020, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +43, Private, 176138, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 47496, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +20, Private, 187158, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +22, Private, 249727, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K +76, Self-emp-not-inc, 237624, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K +24, Private, 175254, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 42924, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 205950, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 111985, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, <=50K +30, Private, 167476, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 221172, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +27, ?, 188711, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +49, Private, 199448, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 313038, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 148431, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K +19, Private, 112432, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 58, United-States, <=50K +46, Private, 57914, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 145166, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +56, Private, 247119, 7th-8th, 4, Widowed, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Dominican-Republic, <=50K +53, Private, 196278, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, ?, 366531, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 216481, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 188027, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +37, Private, 66686, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 74775, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, Vietnam, <=50K +65, ?, 325537, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +30, Self-emp-not-inc, 250499, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 55, United-States, >50K +57, Self-emp-not-inc, 192869, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K +44, Self-emp-inc, 121352, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Self-emp-not-inc, 70985, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4064, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 123116, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Local-gov, 339163, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +59, Self-emp-not-inc, 124771, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +32, Private, 167531, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 15024, 0, 50, United-States, >50K +90, ?, 77053, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 4356, 40, United-States, <=50K +22, Private, 199266, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +39, Private, 190728, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 99212, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 48, United-States, >50K +38, Local-gov, 421446, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K +61, Private, 215944, 9th, 5, Divorced, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +24, Private, 72310, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 43, United-States, <=50K +25, Private, 57512, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +44, Private, 89413, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Local-gov, 28151, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +90, Private, 46786, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 15, United-States, >50K +30, Private, 226943, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +44, Private, 182402, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 305352, 10th, 6, Divorced, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +63, Self-emp-inc, 189253, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +60, Private, 296485, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 204375, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K +49, Self-emp-not-inc, 249585, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K +47, Private, 148995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +42, Self-emp-inc, 168071, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, >50K +53, Private, 194995, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Italy, <=50K +23, Private, 211049, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K +28, ?, 196630, Assoc-voc, 11, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +20, Private, 50397, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 35, United-States, <=50K +43, Private, 177905, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3908, 0, 40, United-States, <=50K +32, Private, 204374, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K +43, Private, 60001, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 44, United-States, >50K +31, Private, 223046, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, ?, 44921, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 154571, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K +39, Private, 67136, Assoc-voc, 11, Separated, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +29, Private, 188675, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Jamaica, >50K +20, Private, 390817, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K +23, ?, 145964, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 30424, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +53, Private, 548361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 189148, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K +58, Self-emp-not-inc, 266707, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2179, 18, United-States, <=50K +51, Self-emp-not-inc, 311569, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 187653, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +38, Private, 235379, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +41, Private, 188615, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Private, 322691, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 184698, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K +50, Private, 144361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 130057, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Self-emp-inc, 117963, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 123876, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 248445, HS-grad, 9, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K +32, Private, 207172, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +46, State-gov, 119904, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 55, United-States, >50K +62, Private, 134768, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Local-gov, 269168, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, ?, <=50K +56, Private, 132026, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 7688, 0, 45, United-States, >50K +37, Private, 60722, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, >50K +41, Private, 648223, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +56, Private, 298695, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +20, Private, 219835, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +34, Self-emp-not-inc, 313729, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +45, Private, 140644, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +30, Private, 203488, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Self-emp-not-inc, 132341, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 161683, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K +38, Private, 312771, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 258102, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, ?, 24127, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +47, Private, 254367, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +77, ?, 185426, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K +43, Private, 152629, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Local-gov, 141058, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K +41, Private, 233130, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 406641, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +30, State-gov, 119422, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 255486, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 25, United-States, <=50K +22, Private, 161532, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +25, Private, 75759, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K +18, Private, 163332, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 22, United-States, <=50K +28, Private, 103802, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 1408, 40, ?, <=50K +50, Private, 34832, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K +28, Private, 37933, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K +21, Private, 165107, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 126011, Assoc-voc, 11, Divorced, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Federal-gov, 56651, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 522881, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K +32, Private, 191777, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 35, England, <=50K +27, Private, 132686, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 201112, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 174283, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 208591, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 126399, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +50, Private, 142073, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +18, Private, 395567, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +74, Private, 180455, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +22, Private, 235853, 9th, 5, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 160731, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, State-gov, 31935, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 80, United-States, <=50K +41, Private, 35166, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +24, Private, 161092, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +23, Private, 223019, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 179673, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K +46, State-gov, 248895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 200323, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +41, Private, 230020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K +29, Private, 134890, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 162096, 9th, 5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 45, China, <=50K +51, Private, 103824, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Haiti, <=50K +34, State-gov, 61431, 12th, 8, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +58, Private, 197319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +52, Private, 183618, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 268598, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 7298, 0, 50, Puerto-Rico, >50K +53, Private, 263729, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 39493, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +36, Private, 185360, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 132661, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 60, United-States, <=50K +20, Private, 266400, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 48, United-States, <=50K +23, Private, 433669, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-inc, 216473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +20, Self-emp-not-inc, 217404, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 227778, Assoc-voc, 11, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +73, State-gov, 96262, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +67, Private, 247566, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 24, United-States, <=50K +56, Private, 139616, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +32, Private, 73585, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 37869, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K +33, Private, 165814, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +37, Private, 108913, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 34975, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 157078, 10th, 6, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 232672, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 294295, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 130454, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Local-gov, 461678, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, State-gov, 252284, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 256737, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Local-gov, 96480, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K +25, Private, 234263, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 109952, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 262570, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 65716, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +68, Private, 201732, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 174788, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +38, Private, 278924, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 101593, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +71, ?, 193863, 7th-8th, 4, Widowed, ?, Other-relative, White, Female, 0, 0, 16, Poland, <=50K +37, Private, 342768, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 242606, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K +27, State-gov, 176727, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 99179, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, State-gov, 354104, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K +25, Private, 61956, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +47, Federal-gov, 137917, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +40, Private, 224658, Some-college, 10, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 51100, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +25, Private, 224361, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 362912, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 218782, 10th, 6, Never-married, Handlers-cleaners, Other-relative, Other, Male, 0, 0, 40, United-States, <=50K +28, Private, 103389, Masters, 14, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 308944, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 140092, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 202210, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 416059, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +33, Self-emp-not-inc, 281030, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 94, United-States, <=50K +19, Private, 169758, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +68, Private, 193666, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 55, United-States, >50K +41, Private, 139907, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +18, Self-emp-inc, 119422, HS-grad, 9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 30, India, <=50K +29, Private, 149324, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K +40, Private, 259307, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +51, Self-emp-not-inc, 74160, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 60, United-States, >50K +49, Private, 134797, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, State-gov, 41103, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +38, Local-gov, 193026, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +57, Private, 303986, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K +35, Private, 126569, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K +66, Private, 166461, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 26, United-States, <=50K +27, ?, 61387, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K +25, Private, 254746, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +77, ?, 28678, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 6, United-States, >50K +19, ?, 180976, 10th, 6, Never-married, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +70, Private, 282642, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2174, 40, United-States, >50K +59, Self-emp-not-inc, 136413, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K +25, Private, 131463, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Local-gov, 177240, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K +37, Private, 218490, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, El-Salvador, >50K +75, ?, 260543, 10th, 6, Widowed, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 1, China, <=50K +21, ?, 80680, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 20728, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 4101, 0, 40, United-States, <=50K +47, Federal-gov, 117628, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 91939, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 1721, 30, United-States, <=50K +32, State-gov, 175931, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 309566, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +53, Private, 123703, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 369678, HS-grad, 9, Never-married, ?, Not-in-family, Other, Male, 0, 0, 30, United-States, <=50K +58, Private, 29928, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 36, United-States, <=50K +22, Private, 167868, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 235894, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +21, Private, 189888, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 3325, 0, 60, United-States, <=50K +36, Private, 111545, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +39, Private, 175972, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K +34, Local-gov, 254270, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Local-gov, 185057, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +72, Private, 157593, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 1455, 0, 6, United-States, <=50K +34, Private, 101345, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K +51, Local-gov, 176751, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +32, Self-emp-not-inc, 97723, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 127601, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +37, Private, 227597, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, ?, 143995, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +21, Private, 250051, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K +26, Private, 284078, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 207668, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1887, 40, United-States, >50K +18, Private, 163787, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +27, Private, 119170, 11th, 7, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +20, Private, 188612, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, Nicaragua, <=50K +36, Private, 114605, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +31, ?, 317761, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 164197, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +54, Private, 329266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K +34, Local-gov, 207383, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 123598, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K +33, Private, 259931, 11th, 7, Separated, Machine-op-inspct, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +32, Private, 134737, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +42, Private, 106900, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 87054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 82622, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 181659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 321205, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 4101, 0, 35, United-States, <=50K +44, Self-emp-not-inc, 231348, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 276096, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 290560, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +21, Private, 307315, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 99156, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 237928, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 39, United-States, <=50K +46, Private, 153501, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +47, ?, 149700, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 36, United-States, >50K +47, Private, 189680, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K +35, Private, 374524, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K +60, Self-emp-not-inc, 127805, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 150217, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, Poland, <=50K +33, Private, 295649, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, China, <=50K +21, Private, 197182, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 241998, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +48, Federal-gov, 156410, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, >50K +58, Private, 473836, 7th-8th, 4, Widowed, Farming-fishing, Other-relative, White, Female, 0, 0, 45, Guatemala, <=50K +21, Private, 198431, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 113936, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 318915, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 175406, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K +33, ?, 193172, Assoc-voc, 11, Married-civ-spouse, ?, Own-child, White, Female, 7688, 0, 50, United-States, >50K +23, Federal-gov, 320294, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, State-gov, 400285, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +24, ?, 283731, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 227154, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +49, Private, 298659, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, Mexico, <=50K +47, Private, 212120, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +50, Private, 320510, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K +21, Private, 175800, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +55, Private, 170169, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 344157, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 199441, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 225456, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 61178, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 175262, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 2002, 40, England, <=50K +42, Private, 152568, HS-grad, 9, Widowed, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +41, Private, 182108, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 27828, 0, 35, United-States, >50K +46, Private, 273771, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K +32, Private, 208291, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 224358, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 55176, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, State-gov, 152711, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 68684, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 185452, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +39, Federal-gov, 175232, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1977, 60, United-States, >50K +23, Private, 173851, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 162327, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 50, ?, >50K +36, Local-gov, 51424, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 123416, 12th, 8, Separated, Prof-specialty, Own-child, White, Female, 1055, 0, 40, United-States, <=50K +26, Private, 262656, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 233194, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K +41, Private, 290660, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 55, United-States, >50K +22, Private, 151105, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 18, United-States, <=50K +38, Private, 179117, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 10520, 0, 50, United-States, >50K +72, ?, 33608, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 30, United-States, >50K +39, Private, 317434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, State-gov, 126569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +38, Local-gov, 745768, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K +19, Private, 69927, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 16, United-States, <=50K +26, Private, 302603, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K +52, Private, 46788, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 25, United-States, <=50K +41, Private, 289886, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 1579, 40, Nicaragua, <=50K +45, Private, 179135, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Federal-gov, 175873, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 57426, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +36, Private, 312206, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Without-pay, 344858, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +26, State-gov, 177035, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 88055, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 111095, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 192251, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +27, Private, 29807, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, Japan, <=50K +26, Federal-gov, 211596, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 268276, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +59, Self-emp-not-inc, 181070, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, England, >50K +53, Local-gov, 20676, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K +35, Private, 115803, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 124827, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 95336, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +36, Private, 257942, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 72593, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 147340, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 185325, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +59, Self-emp-not-inc, 357943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 215395, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 1602, 10, United-States, <=50K +50, Local-gov, 30682, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Federal-gov, 29591, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K +36, Private, 215392, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 110554, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 4386, 0, 40, United-States, >50K +42, Self-emp-not-inc, 133584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +38, Private, 210438, 7th-8th, 4, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 256916, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 73541, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 109952, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +54, Private, 197975, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, United-States, <=50K +27, Private, 401723, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +42, Private, 179524, Bachelors, 13, Separated, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +33, State-gov, 296282, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 145844, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +59, Private, 191965, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 3908, 0, 28, United-States, <=50K +54, Private, 96792, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +48, Private, 185041, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1672, 55, United-States, <=50K +19, ?, 233779, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 347834, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 215373, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +35, Self-emp-not-inc, 169426, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 202856, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +33, Private, 50276, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 187454, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 126098, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 250639, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K +64, Self-emp-inc, 195366, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 186845, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 8, United-States, <=50K +20, Federal-gov, 119156, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +28, Private, 162343, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K +52, Private, 108435, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, Greece, >50K +29, Self-emp-not-inc, 394927, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +51, Private, 172281, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 370767, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 60, United-States, <=50K +43, Private, 352005, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K +52, Private, 165681, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 258819, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +25, Private, 130793, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +36, Private, 118909, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K +44, Private, 202466, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, <=50K +47, Private, 161558, 10th, 6, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K +32, Private, 188246, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 160120, Masters, 14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +40, Private, 144594, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2829, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 123429, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +35, Self-emp-inc, 340110, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 523067, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 3, El-Salvador, <=50K +49, Self-emp-not-inc, 113513, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +63, ?, 186809, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K +46, Self-emp-not-inc, 320421, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +31, Local-gov, 295589, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 370548, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 120572, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +52, Private, 110977, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +26, Private, 55860, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 158800, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 131568, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 173613, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +22, Private, 216867, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +38, Private, 104089, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 208106, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Ecuador, <=50K +27, State-gov, 340269, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 236246, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 213408, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K +40, ?, 84232, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +19, Private, 302945, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, Thailand, <=50K +69, ?, 28197, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K +20, Private, 262749, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +34, Federal-gov, 198265, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K +49, Private, 170871, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 177761, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 50, United-States, <=50K +59, Private, 175689, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 14, Cuba, >50K +45, Private, 205100, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +21, Private, 77759, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +51, State-gov, 77905, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +64, ?, 193575, 11th, 7, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +41, State-gov, 116520, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +18, ?, 85154, 12th, 8, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 24, Germany, <=50K +49, Private, 180532, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 508891, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 211345, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 20, United-States, <=50K +69, Self-emp-not-inc, 170877, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +18, ?, 97318, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +43, Private, 184105, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 150941, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 44, United-States, <=50K +32, Private, 303942, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Local-gov, 273929, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 197077, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 162825, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 159869, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +19, Private, 158343, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, ?, <=50K +17, ?, 406920, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 227986, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 137527, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +36, Private, 180150, 12th, 8, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 239539, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +58, Private, 281792, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 224799, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +64, Private, 292639, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 10566, 0, 35, United-States, <=50K +66, Private, 22313, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +42, Private, 194636, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 156089, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 193720, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +25, Private, 218667, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 358837, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 174685, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 168854, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 54, United-States, <=50K +28, Private, 133696, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 65, United-States, <=50K +23, Federal-gov, 350680, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Poland, <=50K +18, Private, 115215, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +43, Self-emp-not-inc, 152958, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +29, Private, 217200, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 235124, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 46, Dominican-Republic, <=50K +31, Local-gov, 144949, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 135470, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +42, Private, 281209, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 155489, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Private, 290306, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 182042, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K +31, Private, 210008, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 234938, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 55, United-States, <=50K +46, Private, 315423, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2042, 50, United-States, <=50K +27, Self-emp-not-inc, 30244, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 80, United-States, <=50K +50, Local-gov, 30008, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +38, Self-emp-not-inc, 201328, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, <=50K +36, State-gov, 96468, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 486332, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +19, Private, 46162, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K +60, Local-gov, 98350, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Philippines, <=50K +45, Local-gov, 175958, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 119309, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 1602, 16, United-States, <=50K +42, Private, 175935, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1980, 46, United-States, <=50K +38, Private, 204527, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, ?, 57827, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 418176, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K +23, Private, 262744, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 177287, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K +30, Private, 255004, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +62, Private, 183735, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Self-emp-not-inc, 318644, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +42, Federal-gov, 132125, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K +33, Private, 206051, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-inc, 99185, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K +35, Private, 225750, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +33, Private, 245777, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 169092, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +62, Private, 211035, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, >50K +24, Private, 285432, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 154779, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +54, Private, 37237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Private, 417419, 7th-8th, 4, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-inc, 33975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 42485, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 170017, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 152683, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 35, United-States, <=50K +20, Private, 41721, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K +64, Private, 66634, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-inc, 257216, Masters, 14, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 167882, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +45, Private, 179428, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +26, Private, 57512, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 301614, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 193820, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K +58, Private, 222247, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K +39, Self-emp-inc, 189092, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 217509, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, Thailand, <=50K +35, Private, 308691, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +38, Private, 169672, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 120914, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 370156, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +28, Private, 398220, 5th-6th, 3, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +44, Self-emp-not-inc, 208277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 45, United-States, <=50K +40, Private, 337456, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 172666, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Self-emp-not-inc, 32280, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 194901, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +19, ?, 57329, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, Japan, <=50K +32, Private, 173730, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +45, Local-gov, 153312, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 10, United-States, >50K +23, Private, 274797, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +31, Private, 359249, Assoc-voc, 11, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 152744, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +59, Private, 188041, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 97723, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +49, State-gov, 354529, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 249727, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +26, Private, 189590, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +23, State-gov, 298871, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +55, Self-emp-not-inc, 205296, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K +47, Private, 303637, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 49, United-States, >50K +44, Private, 242861, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 37599, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +40, State-gov, 199381, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 37, United-States, >50K +32, Self-emp-not-inc, 56328, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, >50K +20, Private, 256211, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +84, Local-gov, 163685, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K +40, Private, 266084, Some-college, 10, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 161111, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 199031, Some-college, 10, Divorced, Transport-moving, Own-child, White, Male, 0, 1380, 40, United-States, <=50K +47, Private, 166634, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Germany, <=50K +62, Self-emp-not-inc, 204085, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K +19, ?, 369527, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 464945, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +44, Local-gov, 174684, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +26, Local-gov, 166295, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 41, United-States, <=50K +36, Private, 220511, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 246936, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 104509, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +48, ?, 266337, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 252168, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 92093, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +62, Private, 88055, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 129591, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 142719, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +18, ?, 264924, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 128796, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K +38, Private, 115336, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 70, United-States, <=50K +52, Private, 190333, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +63, Self-emp-not-inc, 179444, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 15, United-States, <=50K +49, Private, 218676, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K +17, Local-gov, 148194, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K +33, Private, 184833, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +70, Self-emp-not-inc, 280639, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 2329, 0, 20, United-States, <=50K +19, Private, 217769, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +27, ?, 180553, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K +61, Private, 56009, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 255334, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K +46, Self-emp-inc, 328216, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 42, ?, >50K +29, Private, 349154, 10th, 6, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 40, Guatemala, <=50K +40, Local-gov, 24763, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 6849, 0, 40, United-States, <=50K +43, State-gov, 41834, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, >50K +24, Private, 113466, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 130856, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +61, Self-emp-not-inc, 268797, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 17, United-States, <=50K +48, Private, 202117, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K +19, Private, 280146, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +30, Private, 70377, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 236696, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +39, Local-gov, 222572, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +46, Self-emp-inc, 110702, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 2036, 0, 60, United-States, <=50K +40, Private, 96129, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K +27, Local-gov, 200492, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 193820, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 454508, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K +58, Private, 220789, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 101345, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 42, Canada, >50K +40, Private, 140559, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +40, Self-emp-inc, 64885, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +31, Private, 402361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 143582, HS-grad, 9, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 48, China, <=50K +49, Private, 185385, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +24, Private, 112706, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 130364, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +58, Local-gov, 147428, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 205895, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +65, ?, 273569, HS-grad, 9, Widowed, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 153160, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 167918, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K +41, Private, 195661, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 54, United-States, <=50K +27, State-gov, 146243, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +52, ?, 105428, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K +26, Private, 149943, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 60, ?, <=50K +52, Local-gov, 246197, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 192563, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +19, Private, 244115, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +39, Local-gov, 98587, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 45, United-States, <=50K +47, Private, 145886, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 244315, HS-grad, 9, Divorced, Craft-repair, Other-relative, Other, Male, 0, 0, 40, United-States, <=50K +48, Private, 192779, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 209464, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +60, Private, 25141, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 405793, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +47, Federal-gov, 53498, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +69, ?, 476653, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +40, Self-emp-not-inc, 162312, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 66, South, <=50K +37, Private, 277022, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Female, 3887, 0, 40, Nicaragua, <=50K +41, State-gov, 109762, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 123031, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 48, Trinadad&Tobago, <=50K +46, Federal-gov, 119890, Assoc-voc, 11, Separated, Tech-support, Not-in-family, Other, Female, 0, 0, 30, United-States, <=50K +21, Self-emp-not-inc, 409230, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 223308, Masters, 14, Separated, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +38, ?, 129150, 10th, 6, Separated, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K +47, Self-emp-not-inc, 119199, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +42, Private, 46221, Doctorate, 16, Married-spouse-absent, Other-service, Not-in-family, White, Male, 27828, 0, 60, ?, >50K +42, Local-gov, 351161, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 174533, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +32, Private, 324386, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 126568, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 33, United-States, <=50K +26, Private, 275703, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 219611, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 2174, 0, 50, United-States, <=50K +49, Private, 200471, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +65, Private, 155261, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +73, State-gov, 74040, 7th-8th, 4, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +34, Private, 226296, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 211968, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +49, Local-gov, 126446, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +25, Private, 262885, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +39, Private, 188069, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, <=50K +19, Private, 113546, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +24, Private, 227070, 10th, 6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 136997, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +35, ?, 119006, HS-grad, 9, Widowed, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K +21, Private, 212407, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 197810, Masters, 14, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Federal-gov, 35309, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 28, ?, <=50K +39, Private, 141802, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, ?, 184513, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 80, United-States, >50K +33, Self-emp-not-inc, 124187, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K +19, Private, 201743, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 26, United-States, <=50K +17, Private, 156736, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 12, United-States, <=50K +43, Self-emp-not-inc, 47261, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +62, Private, 150693, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +53, Local-gov, 233734, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K +45, State-gov, 35969, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +47, Private, 159550, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 190823, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 213378, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K +24, Private, 257500, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +41, Local-gov, 488706, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Local-gov, 239405, 5th-6th, 3, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 40, Haiti, <=50K +27, Federal-gov, 105189, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 4865, 0, 50, United-States, <=50K +63, State-gov, 109735, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +50, Private, 172942, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 28, United-States, <=50K +43, Local-gov, 209899, Masters, 14, Never-married, Tech-support, Not-in-family, Black, Female, 8614, 0, 47, United-States, >50K +29, Self-emp-inc, 87745, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +41, Private, 187881, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3942, 0, 40, United-States, <=50K +55, Private, 234125, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 272944, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +23, Local-gov, 129232, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 100345, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 13550, 0, 55, United-States, >50K +58, Self-emp-not-inc, 195835, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 251854, 11th, 7, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 103474, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K +38, Private, 22042, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K +37, Private, 343721, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 232368, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +55, Private, 174478, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 29, United-States, <=50K +55, Private, 282023, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +28, Private, 274690, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 251675, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +32, ?, 647882, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, <=50K +60, Private, 128367, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 3325, 0, 42, United-States, <=50K +32, Private, 37380, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +34, Private, 173730, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 353824, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +21, Private, 225890, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +24, State-gov, 147147, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +53, Private, 233780, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 2202, 0, 40, United-States, <=50K +29, Private, 394927, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K +34, Local-gov, 188682, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, ?, 115209, Prof-school, 15, Married-spouse-absent, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +41, Private, 277192, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, Mexico, <=50K +21, Private, 314182, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 220776, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +31, Local-gov, 189269, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 35429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2042, 40, United-States, <=50K +42, Private, 154374, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K +62, Private, 161460, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +51, Private, 251487, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +30, Private, 177531, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +24, Private, 53942, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 113481, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 361324, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 330087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +33, Private, 276221, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 121055, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +62, Private, 118696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Self-emp-not-inc, 289741, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K +18, Private, 238401, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +43, Private, 262038, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K +62, Self-emp-not-inc, 26911, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 66, United-States, <=50K +29, Private, 161155, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 252519, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, Haiti, >50K +39, Private, 43712, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +69, ?, 167826, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 188900, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 120057, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 45, United-States, >50K +25, Private, 134113, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +47, Local-gov, 165822, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 99161, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K +41, Local-gov, 74581, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 65, United-States, <=50K +19, Private, 304643, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +57, Private, 121821, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K +25, Private, 154863, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K +37, Local-gov, 365430, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Canada, >50K +29, Private, 183111, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 50178, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +35, Private, 186845, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +52, Private, 159908, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 162189, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 1831, 0, 40, Peru, <=50K +29, Private, 128509, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, El-Salvador, <=50K +23, Private, 143032, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K +31, Private, 382368, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 210013, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 293928, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 208503, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 10, United-States, <=50K +37, State-gov, 191841, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K +49, Self-emp-not-inc, 355978, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K +64, Local-gov, 202738, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K +37, Local-gov, 144322, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +70, Self-emp-not-inc, 155141, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2377, 12, United-States, >50K +22, Private, 160120, 10th, 6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K +29, Self-emp-inc, 190450, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Germany, <=50K +37, Private, 212900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 115677, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 252250, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +27, Private, 212041, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +58, State-gov, 198145, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K +60, Local-gov, 113658, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K +20, Private, 32426, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +51, Private, 98791, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 203828, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +22, State-gov, 186634, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +56, Self-emp-not-inc, 125147, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +26, Private, 247455, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 5178, 0, 42, United-States, >50K +19, Private, 97215, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +37, Private, 330826, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, <=50K +27, Private, 200802, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 156266, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K +52, Self-emp-not-inc, 72257, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 363087, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 25955, Some-college, 10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +20, Private, 334633, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 109162, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +44, Private, 569761, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 209900, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, State-gov, 272986, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 8, United-States, <=50K +55, ?, 52267, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K +46, Private, 82946, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 104651, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Local-gov, 58441, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Local-gov, 269733, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 128453, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 28, United-States, <=50K +36, Private, 179468, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 183081, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 102938, Bachelors, 13, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +30, ?, 157289, 11th, 7, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 359828, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K +30, Private, 155659, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +24, Private, 585203, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 45, United-States, >50K +62, Private, 173601, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 214541, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K +49, Self-emp-not-inc, 163352, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 85, United-States, >50K +36, Self-emp-not-inc, 153976, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Local-gov, 247676, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 45, United-States, <=50K +49, State-gov, 155372, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 329733, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 162576, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 176520, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K +51, State-gov, 226885, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 120781, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +30, Private, 375827, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 205504, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +28, Private, 198813, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 254291, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +62, Private, 159908, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, >50K +49, Private, 40000, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 44, United-States, <=50K +69, Private, 102874, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +35, Private, 117381, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K +78, Private, 180239, Masters, 14, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +61, Private, 539563, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Private, 261561, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 81057, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 160120, Bachelors, 13, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 45, ?, <=50K +17, Private, 41979, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 275110, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 80, United-States, >50K +64, Private, 265661, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 193246, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, France, <=50K +32, Private, 236543, 12th, 8, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +19, Private, 29510, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +42, State-gov, 105804, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 194604, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +23, Private, 1038553, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K +51, Local-gov, 209320, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +31, Private, 193231, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 3325, 0, 60, United-States, <=50K +44, Private, 307468, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 29, United-States, >50K +38, Private, 255941, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K +44, Local-gov, 107845, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 56, United-States, >50K +44, Self-emp-not-inc, 567788, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +38, Private, 91857, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +36, Private, 732569, 9th, 5, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 86613, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, El-Salvador, <=50K +46, Private, 35961, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 25, Germany, <=50K +47, Private, 114754, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 235124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 99999, 0, 40, United-States, >50K +37, Local-gov, 218490, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 35, United-States, >50K +27, Private, 329426, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +43, Private, 181015, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +44, Self-emp-not-inc, 264740, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 381153, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 189759, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K +39, Private, 230467, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 1092, 40, Germany, <=50K +36, Private, 218542, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 298507, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K +78, Private, 111189, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, Dominican-Republic, <=50K +24, Private, 168997, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 168894, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 149809, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 344073, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +22, Private, 416165, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +36, Private, 41490, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 40269, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +67, ?, 243256, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K +42, Private, 250536, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 21, Haiti, <=50K +49, Federal-gov, 105586, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +58, Private, 51499, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 189878, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K +39, Private, 179481, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 4650, 0, 44, United-States, <=50K +25, Private, 299765, Some-college, 10, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K +45, Self-emp-inc, 155664, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K +30, Private, 54608, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, ?, 174702, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +36, Self-emp-not-inc, 285020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K +23, Private, 201145, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +51, Private, 125796, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 35, Jamaica, <=50K +55, Private, 249072, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +35, Private, 99156, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +45, State-gov, 94754, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, India, <=50K +36, Private, 111128, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K +32, Local-gov, 157887, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 74194, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +47, Self-emp-inc, 168191, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 28334, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +52, Private, 84278, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, ?, >50K +44, Private, 721161, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 188069, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Private, 145178, Some-college, 10, Divorced, Craft-repair, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +17, Private, 52967, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K +18, Private, 177578, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K +30, Self-emp-inc, 185384, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K +66, Private, 66008, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, England, <=50K +59, Private, 329059, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Local-gov, 348802, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +50, Private, 34233, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 509629, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +28, Private, 27956, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 99, Philippines, <=50K +44, Local-gov, 83286, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +25, Private, 309098, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 188950, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Private, 224217, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 222899, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 123306, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +52, Federal-gov, 279337, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 347166, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +37, Local-gov, 251396, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Canada, >50K +17, Self-emp-inc, 143034, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 4, United-States, <=50K +25, Private, 57635, Assoc-voc, 11, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, >50K +35, Local-gov, 162651, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K +63, Private, 28334, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +38, Local-gov, 84570, Some-college, 10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +33, Private, 181091, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, Iran, >50K +51, Local-gov, 117496, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +64, State-gov, 216160, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Columbia, >50K +50, Self-emp-inc, 204447, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 374969, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +67, Private, 35015, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K +46, Private, 179869, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 137733, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 193125, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 103649, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +56, State-gov, 54260, Doctorate, 16, Married-civ-spouse, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 2885, 0, 40, China, <=50K +29, Private, 197932, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, Mexico, >50K +37, Private, 249720, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 27, United-States, <=50K +55, Private, 223613, 1st-4th, 2, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 30, Cuba, <=50K +24, Private, 259865, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +21, Private, 301694, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K +46, Self-emp-inc, 276934, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +25, Private, 395512, 12th, 8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K +40, Private, 168071, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 28, United-States, <=50K +23, Private, 45317, Some-college, 10, Separated, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 311177, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +29, Self-emp-not-inc, 190636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 1485, 60, United-States, >50K +59, Private, 221336, 10th, 6, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +18, Private, 120691, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, ?, <=50K +28, Private, 107389, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 32, United-States, <=50K +17, Private, 293440, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +53, Private, 145409, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 213902, 5th-6th, 3, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, El-Salvador, <=50K +63, Private, 100099, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 191856, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, >50K +40, Local-gov, 233891, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +61, Self-emp-not-inc, 96073, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, England, >50K +35, Private, 474136, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K +43, Self-emp-not-inc, 355856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Philippines, <=50K +20, ?, 144685, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 1602, 40, Taiwan, <=50K +48, Self-emp-not-inc, 139212, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, State-gov, 143931, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Federal-gov, 160703, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 191291, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 68729, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, United-States, >50K +61, Private, 119986, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +37, Private, 227545, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K +36, Private, 32776, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +34, Private, 228881, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K +23, Private, 84648, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +63, Federal-gov, 101996, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +63, ?, 68954, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 11, United-States, <=50K +47, Local-gov, 285060, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 41, United-States, >50K +55, Self-emp-inc, 209569, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, >50K +31, Local-gov, 331126, Bachelors, 13, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 48, United-States, <=50K +27, Private, 279872, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 150560, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K +28, Local-gov, 185647, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K +52, Private, 128871, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K +31, Federal-gov, 386331, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, <=50K +53, Private, 117814, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +43, Private, 220609, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +43, Local-gov, 117022, HS-grad, 9, Married-spouse-absent, Farming-fishing, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-inc, 176751, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 80, United-States, >50K +68, ?, 76371, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K +37, Private, 80410, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 127202, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 121471, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 219086, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +59, Private, 271571, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K +30, Private, 241583, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 374253, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +30, Private, 214993, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 199995, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +38, Private, 450924, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 3942, 0, 40, United-States, <=50K +29, Private, 120359, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +76, Private, 93125, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 1424, 0, 24, United-States, <=50K +21, Private, 187513, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 243569, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +43, Private, 295510, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Private, 29732, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, <=50K +32, Private, 211743, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 251396, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +64, Private, 477697, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K +49, Private, 151584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 193882, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +68, ?, 117542, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 1409, 0, 15, United-States, <=50K +34, Private, 242460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +35, Private, 411395, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, <=50K +53, Private, 191025, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +24, Private, 154571, Assoc-voc, 11, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 50, South, <=50K +31, Private, 208657, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 29599, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K +36, Private, 423711, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 122000, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 148581, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Self-emp-not-inc, 222978, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +30, Private, 149118, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 218407, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, Cuba, <=50K +47, Self-emp-not-inc, 112200, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 10520, 0, 45, United-States, >50K +44, Private, 85604, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +19, Private, 111232, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 99199, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +51, Private, 199995, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +69, Private, 122850, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K +73, ?, 90557, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +18, ?, 271935, 11th, 7, Never-married, ?, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +33, Self-emp-not-inc, 361497, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Local-gov, 399020, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +33, Private, 345277, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +20, Federal-gov, 55233, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 200515, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 188119, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 176683, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +22, Private, 309178, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +67, Self-emp-not-inc, 40021, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +31, Self-emp-inc, 49923, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, ?, 36635, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +43, Federal-gov, 325706, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K +33, Private, 124407, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 301568, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K +27, Private, 339956, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K +36, Private, 176335, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 198452, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +63, Private, 213945, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, Iran, >50K +48, Private, 171807, Bachelors, 13, Divorced, Other-service, Unmarried, White, Female, 0, 0, 56, United-States, >50K +25, Private, 362826, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +41, Self-emp-not-inc, 344329, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 10, United-States, <=50K +26, Private, 137678, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 175424, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +33, State-gov, 73296, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 1831, 0, 40, United-States, <=50K +30, State-gov, 137613, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 17, Taiwan, <=50K +67, Self-emp-not-inc, 354405, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 130057, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +48, Self-emp-not-inc, 362883, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +51, Private, 49017, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +39, Private, 149943, Masters, 14, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +40, Self-emp-inc, 99185, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 294708, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K +19, Private, 228238, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +28, Private, 156819, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +47, Private, 332727, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +20, Private, 289944, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 116103, HS-grad, 9, Widowed, Exec-managerial, Other-relative, White, Male, 914, 0, 40, United-States, <=50K +29, Private, 24153, Some-college, 10, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +40, Private, 273425, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +61, Private, 231183, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 313930, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +26, Private, 114483, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 162108, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 168807, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +43, Local-gov, 143828, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 9562, 0, 40, United-States, >50K +73, Private, 242769, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3471, 0, 40, England, <=50K +46, Local-gov, 111558, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 69770, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +37, Private, 291981, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 102460, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 151584, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 1876, 40, United-States, <=50K +47, Local-gov, 287320, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 115677, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 239632, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 409172, Bachelors, 13, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 55, United-States, <=50K +20, Private, 186849, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 118861, 10th, 6, Married-civ-spouse, Craft-repair, Wife, Other, Female, 0, 0, 48, Guatemala, <=50K +26, Private, 142689, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, ?, <=50K +41, State-gov, 170924, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 274451, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 153489, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 186489, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 46, United-States, <=50K +18, Private, 192409, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +55, State-gov, 337599, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 195545, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +64, Private, 61892, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +34, Self-emp-not-inc, 175697, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, <=50K +38, Private, 80303, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +25, Private, 419658, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K +21, Private, 319163, Some-college, 10, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +37, Private, 126743, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 53, Mexico, <=50K +39, Private, 301568, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 120461, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 268145, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +54, Private, 257337, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Self-emp-inc, 213354, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +25, Private, 303431, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 124963, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 158218, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +27, State-gov, 553473, Bachelors, 13, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 48, United-States, <=50K +53, Private, 46155, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +68, Private, 138714, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +56, Private, 231781, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 496414, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +24, Private, 19410, HS-grad, 9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 48, United-States, <=50K +70, ?, 28471, 9th, 5, Widowed, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +24, Private, 185821, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +74, ?, 272667, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +23, ?, 194031, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +41, Local-gov, 144995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +45, Private, 162494, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 19, United-States, <=50K +35, Private, 171968, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 232569, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 161819, 11th, 7, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +18, Private, 123343, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 105449, Bachelors, 13, Never-married, Priv-house-serv, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +49, Private, 181717, Assoc-voc, 11, Separated, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K +45, Local-gov, 102359, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, <=50K +27, Private, 72887, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +28, Private, 154571, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +35, Private, 255191, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Private, 174789, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 110402, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +19, Private, 208513, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 121904, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +28, Private, 34335, HS-grad, 9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 14084, 0, 40, United-States, >50K +49, Private, 59380, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, ?, 135285, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 2603, 32, United-States, <=50K +39, Self-emp-inc, 126675, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K +22, Private, 217363, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 91836, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 184813, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 178142, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Local-gov, 102359, 9th, 5, Widowed, Handlers-cleaners, Unmarried, White, Male, 0, 2231, 40, United-States, >50K +33, Self-emp-inc, 281832, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K +28, Private, 96226, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +42, Private, 195124, 7th-8th, 4, Married-spouse-absent, Prof-specialty, Other-relative, White, Male, 0, 0, 35, Puerto-Rico, <=50K +20, Private, 56322, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 2176, 0, 25, United-States, <=50K +50, Local-gov, 97449, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K +32, Private, 339773, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Federal-gov, 210926, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 199499, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +46, Federal-gov, 190729, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 191385, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 77, United-States, <=50K +61, Private, 193479, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +43, Self-emp-not-inc, 225165, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +35, Private, 346766, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, State-gov, 152307, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 79990, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K +42, Self-emp-not-inc, 170649, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +23, Private, 197207, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 229732, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +52, Private, 204402, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 85, United-States, >50K +36, Private, 181065, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 179579, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K +50, Private, 237729, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 2444, 72, United-States, >50K +23, ?, 164574, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +71, Private, 179574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 12, United-States, >50K +27, Private, 191782, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K +56, Private, 146660, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Self-emp-not-inc, 115945, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 210875, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 137898, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +28, Local-gov, 216965, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 201554, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +62, Private, 57970, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 208378, 12th, 8, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 61343, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 283872, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K +58, Private, 225603, 9th, 5, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +48, Private, 401333, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 278228, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 145377, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 120238, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 187215, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 36, United-States, >50K +29, Self-emp-not-inc, 144063, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K +38, Private, 238721, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 164920, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 152493, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +50, Private, 92968, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +50, Private, 136836, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Federal-gov, 216453, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K +30, Private, 349148, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +29, State-gov, 309620, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Taiwan, <=50K +22, State-gov, 347803, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 20, United-States, <=50K +42, Private, 85995, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, ?, 167428, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 164569, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +42, Self-emp-not-inc, 308279, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 21, United-States, <=50K +20, Private, 56322, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +51, ?, 203015, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 211654, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Self-emp-inc, 120126, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 239043, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, ?, 179761, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 312017, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Germany, <=50K +51, Private, 257485, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 49243, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 229716, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +31, Private, 341672, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K +24, Private, 32311, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 275236, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 400356, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 184596, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 3942, 0, 50, United-States, <=50K +18, Private, 186909, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 1055, 0, 30, United-States, <=50K +43, Private, 152420, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 50, United-States, <=50K +43, State-gov, 261929, Doctorate, 16, Married-spouse-absent, Prof-specialty, Unmarried, White, Male, 25236, 0, 64, United-States, >50K +21, Private, 235442, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 161691, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 173945, 11th, 7, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 39, United-States, <=50K +41, Private, 355918, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K +45, State-gov, 198660, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 122649, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +28, Private, 421967, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, >50K +50, Local-gov, 259377, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K +47, Private, 74305, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +80, Self-emp-not-inc, 34340, 7th-8th, 4, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +47, Self-emp-not-inc, 182752, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, Iran, <=50K +19, ?, 48393, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 84, United-States, <=50K +45, Private, 34248, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 186677, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +37, Private, 167851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 146460, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 209650, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +18, Self-emp-not-inc, 132986, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 94429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 252406, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 174592, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 151322, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +51, Private, 37237, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, >50K +38, Private, 101192, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +77, ?, 152900, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +51, Private, 94081, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +24, Private, 329408, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 106028, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +35, ?, 164866, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K +51, Self-emp-inc, 167793, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +28, Private, 138692, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 173968, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 228320, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 96585, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +42, Private, 156580, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K +58, Private, 210673, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +52, Local-gov, 137753, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 20, United-States, <=50K +29, Private, 29865, HS-grad, 9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, <=50K +27, Private, 196044, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 308995, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, Jamaica, <=50K +59, Private, 159008, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 20, United-States, >50K +28, Private, 362491, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 94395, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 320047, 10th, 6, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 98535, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Private, 183170, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +18, ?, 331511, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +38, Private, 195686, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 178244, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 127833, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 269722, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, State-gov, 136819, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 205604, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, Mexico, <=50K +28, Private, 132078, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 234880, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +24, Private, 196816, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3908, 0, 40, United-States, <=50K +36, Private, 237943, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +68, Self-emp-inc, 140852, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 105614, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +18, Private, 83492, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 225772, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K +37, Private, 242713, 12th, 8, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +60, Private, 355865, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +43, Private, 173316, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 35662, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 70, United-States, >50K +17, Private, 297246, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 9, United-States, <=50K +43, Private, 108945, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +39, Private, 112158, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 26, ?, <=50K +21, Self-emp-not-inc, 57298, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +42, Self-emp-not-inc, 115323, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 7, ?, <=50K +48, Self-emp-not-inc, 164582, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 60, United-States, >50K +56, Private, 295067, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K +21, Private, 177265, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +28, Local-gov, 336543, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, >50K +39, Self-emp-not-inc, 52870, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 316820, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K +38, Local-gov, 200153, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 453067, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K +51, Federal-gov, 27166, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 299598, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K +23, Private, 122048, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 345277, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 113147, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 34007, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 255014, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +34, Private, 152667, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 231053, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K +34, Private, 103651, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-inc, 124137, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 198183, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 183627, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 48, Ireland, <=50K +19, Private, 466458, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +45, Self-emp-not-inc, 114396, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +42, Private, 186376, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 72, Philippines, >50K +32, Private, 290964, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K +90, Self-emp-not-inc, 282095, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, State-gov, 244974, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, >50K +34, Self-emp-not-inc, 114691, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 107160, 12th, 8, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +39, Self-emp-not-inc, 142573, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +29, Private, 203833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +24, Private, 47791, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +49, Private, 133729, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 17, United-States, <=50K +52, Self-emp-not-inc, 135339, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K +54, Private, 135803, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 60, South, >50K +31, Private, 128591, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 133853, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +18, ?, 137363, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +27, Self-emp-not-inc, 243569, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 119156, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 391114, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 252506, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, State-gov, 117503, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, Italy, <=50K +25, State-gov, 117833, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 19, United-States, <=50K +39, Private, 294183, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 394927, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Self-emp-not-inc, 259323, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +21, ?, 207988, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 96635, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 26, South, <=50K +27, Private, 192283, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 38, United-States, <=50K +29, Private, 214881, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, State-gov, 167474, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 110713, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Private, 201204, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 197666, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 162002, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +31, Private, 263561, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 45, United-States, >50K +41, Private, 224799, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 89942, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 238685, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +54, Private, 38795, 9th, 5, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 90414, Bachelors, 13, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 0, 0, 55, Ireland, <=50K +21, Private, 190805, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K +52, Private, 23780, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K +19, Private, 285263, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 177331, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 347530, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +59, Private, 230039, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 625, 38, United-States, <=50K +17, ?, 210547, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 204752, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 32, United-States, <=50K +74, Self-emp-not-inc, 104001, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 253116, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 169037, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Self-emp-inc, 202027, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 170099, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 212847, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 85, United-States, <=50K +50, State-gov, 307392, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 233428, HS-grad, 9, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 355728, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 1980, 45, England, <=50K +52, Private, 177995, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, Mexico, >50K +24, Private, 283613, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +56, Self-emp-inc, 184598, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K +27, Private, 185647, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +47, Self-emp-inc, 192894, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K +40, Self-emp-not-inc, 284706, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 1977, 60, United-States, >50K +38, Private, 179579, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 131679, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 132973, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +22, Private, 154713, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 121718, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K +30, Private, 255279, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +55, Private, 202559, Bachelors, 13, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 35, Philippines, <=50K +25, Private, 123095, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 1590, 40, United-States, <=50K +32, Private, 153326, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 75695, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +33, Self-emp-inc, 206609, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 234780, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 178778, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 171355, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K +63, Federal-gov, 95680, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K +39, Private, 196673, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 5013, 0, 40, United-States, <=50K +51, Federal-gov, 73670, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 52, United-States, >50K +67, Self-emp-not-inc, 139960, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 397280, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 72, ?, <=50K +27, Private, 60374, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Female, 0, 1594, 26, United-States, <=50K +54, Private, 421561, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +59, Private, 245196, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K +18, Private, 27620, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +19, Private, 187570, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 102884, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 228399, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 7, United-States, <=50K +42, Private, 340234, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, United-States, >50K +37, Private, 176293, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +51, Local-gov, 108435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 161187, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 2463, 0, 40, United-States, <=50K +23, Private, 278391, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 157941, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 182866, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +69, Private, 370888, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 2964, 0, 6, Germany, <=50K +30, Private, 206512, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +33, Private, 357954, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, India, <=50K +28, Private, 189346, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 48, United-States, <=50K +45, Private, 234652, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +25, Private, 113436, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K +37, Private, 204145, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +59, Private, 157305, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K +26, Private, 104045, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +48, Private, 280422, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, Peru, <=50K +64, Federal-gov, 173754, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 211154, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 321435, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, State-gov, 177083, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +46, Private, 178829, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +35, Federal-gov, 287658, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K +43, Private, 209894, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +31, Private, 334744, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 306967, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +35, Private, 52187, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 101978, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +35, State-gov, 483530, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 77357, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 149770, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 328606, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 14084, 0, 63, United-States, >50K +70, ?, 172652, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +46, Private, 188293, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 116608, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +37, State-gov, 348960, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K +24, Private, 329530, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Mexico, <=50K +47, Local-gov, 93476, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +35, Self-emp-not-inc, 195744, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 125833, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +18, State-gov, 191117, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +54, Private, 311020, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +62, Private, 210464, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 38, United-States, <=50K +36, Private, 135289, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +27, Private, 156266, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +23, Private, 154210, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 14, Puerto-Rico, <=50K +61, ?, 160625, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 4386, 0, 15, United-States, >50K +39, Self-emp-not-inc, 331481, Bachelors, 13, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 1669, 60, ?, <=50K +33, Self-emp-not-inc, 249249, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 261725, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +22, Private, 239612, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +31, Self-emp-not-inc, 226696, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +26, Private, 190330, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 193755, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +73, Private, 192740, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 201924, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +35, Private, 77146, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 126414, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, ?, <=50K +27, Private, 43652, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Federal-gov, 227244, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 50, United-States, >50K +29, Private, 160731, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Private, 287878, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 26, United-States, <=50K +50, Private, 166758, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +32, Private, 183811, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2829, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 254818, Masters, 14, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Peru, <=50K +19, ?, 220517, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +45, Private, 295046, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +65, Private, 190568, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 810, 36, United-States, <=50K +42, State-gov, 211915, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 295621, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 25, United-States, >50K +32, Private, 204567, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K +42, Private, 204235, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 186982, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +38, Private, 133586, HS-grad, 9, Married-civ-spouse, Protective-serv, Own-child, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 165930, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 164898, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K +24, Private, 278155, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +27, Self-emp-not-inc, 115705, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 150553, 9th, 5, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +29, Private, 185127, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 201595, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K +44, Self-emp-inc, 165815, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 96, United-States, <=50K +26, Private, 102420, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K +46, Local-gov, 344172, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 49, United-States, >50K +38, Private, 222450, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 212245, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, State-gov, 190625, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +33, Private, 203488, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 304260, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 243665, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 41, United-States, >50K +26, Self-emp-not-inc, 189238, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 4, Mexico, <=50K +42, Private, 77373, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K +27, Private, 410351, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 36385, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +64, Private, 110150, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 198316, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 127772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 199058, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +56, Private, 285730, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 66, United-States, <=50K +25, Local-gov, 334133, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +60, State-gov, 97030, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +52, Private, 67090, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +43, Private, 397963, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 594, 0, 16, United-States, <=50K +46, Private, 182533, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +19, Private, 560804, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +56, Private, 365050, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +22, Private, 110200, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 150025, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +39, Private, 299828, 5th-6th, 3, Separated, Sales, Unmarried, Black, Female, 0, 0, 30, Puerto-Rico, <=50K +28, Private, 109282, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 103435, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 34747, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +39, Private, 137522, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K +39, Private, 286789, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Self-emp-not-inc, 211032, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +67, ?, 192916, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3818, 0, 11, United-States, <=50K +31, Private, 219318, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K +50, Private, 112873, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 36069, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3908, 0, 46, United-States, <=50K +48, Private, 73434, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Germany, >50K +51, Private, 200576, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 172962, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 44006, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 234474, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +37, Private, 212826, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 234901, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Federal-gov, 200700, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 41258, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 249644, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +60, ?, 230165, Bachelors, 13, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 351731, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 114765, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 349884, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +28, Self-emp-inc, 204247, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 143392, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 37913, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Italy, >50K +22, Self-emp-inc, 150683, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 24, United-States, <=50K +27, Private, 207611, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K +45, State-gov, 319666, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +39, Private, 155961, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +25, Local-gov, 117833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +63, ?, 447079, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +24, Self-emp-inc, 142404, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 155752, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +19, ?, 252292, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 111450, 12th, 8, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 38, United-States, <=50K +20, Private, 528616, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +17, Self-emp-not-inc, 228786, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +63, Self-emp-inc, 80572, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Local-gov, 180271, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 65, United-States, >50K +51, Federal-gov, 237819, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Private, 157612, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 3325, 0, 45, United-States, <=50K +64, Private, 379062, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 12, United-States, <=50K +17, Private, 191910, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +45, Local-gov, 326064, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 6497, 0, 35, United-States, <=50K +18, Private, 312353, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +31, Local-gov, 213307, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 209057, Bachelors, 13, Married-spouse-absent, Sales, Own-child, White, Male, 0, 0, 50, United-States, >50K +41, Private, 340148, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +65, Private, 154171, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 60, United-States, >50K +27, Private, 94064, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 119098, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 388496, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 8, Puerto-Rico, >50K +49, Private, 181363, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +58, ?, 210031, HS-grad, 9, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 206951, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K +25, Private, 485496, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 210259, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +31, Private, 118551, 9th, 5, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +63, Private, 180911, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 4386, 0, 37, United-States, >50K +50, State-gov, 242517, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +63, Private, 298113, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 277783, Masters, 14, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 99, United-States, <=50K +48, Private, 155862, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +51, Self-emp-not-inc, 171924, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 243900, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +23, Private, 231160, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +31, Private, 356882, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 40, United-States, <=50K +38, Private, 49020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 105460, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, England, <=50K +56, Private, 157749, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +31, Private, 131568, 7th-8th, 4, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +46, Private, 332355, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 204501, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +56, Local-gov, 305767, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +31, Private, 129761, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-inc, 130126, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K +53, Private, 102828, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +18, Private, 160984, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +18, ?, 255282, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 1602, 48, United-States, <=50K +20, ?, 346341, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +27, Private, 285897, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 45, United-States, >50K +31, Private, 356689, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Federal-gov, 192386, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 40, United-States, <=50K +46, Private, 394860, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 113129, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +26, Private, 55929, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Local-gov, 177018, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 161141, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 309463, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 165468, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K +24, Private, 49218, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +74, Self-emp-not-inc, 119129, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2149, 20, United-States, <=50K +56, Self-emp-not-inc, 162130, 5th-6th, 3, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 67, United-States, >50K +39, Federal-gov, 129573, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K +21, Private, 306850, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 135296, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2258, 45, United-States, >50K +43, Self-emp-not-inc, 187322, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 55674, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 2907, 0, 40, United-States, <=50K +26, Private, 148298, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +47, Private, 34845, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 200733, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K +45, Private, 191858, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +30, Private, 425528, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 70, United-States, <=50K +35, Private, 44780, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 20, United-States, >50K +33, Private, 125856, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 100508, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 148294, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +42, Private, 39324, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Federal-gov, 147397, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K +46, Private, 24728, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +36, Private, 177616, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 163826, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 199947, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +26, Local-gov, 386949, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +36, Self-emp-inc, 116133, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 57, United-States, <=50K +56, Self-emp-not-inc, 196307, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +37, Private, 177181, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 324854, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +23, Private, 188505, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +23, State-gov, 502316, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, State-gov, 26892, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 102058, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Private, 167728, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +67, Local-gov, 233681, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +60, Private, 26756, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +54, Private, 101890, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 192337, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, England, >50K +47, Private, 340982, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, Philippines, >50K +49, State-gov, 102308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K +19, Private, 84747, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K +20, Private, 197752, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 185336, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +22, ?, 289984, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K +51, Self-emp-not-inc, 125417, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +19, Private, 278480, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 146412, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 193042, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +41, Private, 53956, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1980, 56, United-States, <=50K +90, Private, 175491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 9386, 0, 50, Ecuador, >50K +78, ?, 33186, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 144154, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 194901, Prof-school, 15, Divorced, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K +35, Private, 335777, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +46, Private, 139268, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +38, Private, 33887, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 283613, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 141245, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K +49, Private, 298130, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 186096, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +77, Private, 187656, Some-college, 10, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +46, Private, 102308, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 56, United-States, >50K +41, Private, 124639, Some-college, 10, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 388112, 1st-4th, 2, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 77, Mexico, <=50K +21, Private, 109952, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 164529, 12th, 8, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 247750, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K +23, State-gov, 103588, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K +38, Federal-gov, 248919, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 40, United-States, <=50K +29, Self-emp-not-inc, 178551, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 136137, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, >50K +47, Federal-gov, 55377, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, >50K +39, Local-gov, 177728, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Local-gov, 243580, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K +21, ?, 188535, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 63910, HS-grad, 9, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +23, Private, 219535, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, State-gov, 180609, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 59313, Some-college, 10, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +70, Private, 170428, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 20, Puerto-Rico, <=50K +51, Private, 102615, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1977, 40, United-States, >50K +66, Private, 193132, 9th, 5, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +57, Self-emp-inc, 124137, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 136629, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Self-emp-inc, 148995, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +24, ?, 203076, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 63424, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +43, Private, 241895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 266973, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 188048, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 366929, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 214129, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 250818, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Local-gov, 240979, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 98283, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +26, Private, 104746, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 60, United-States, <=50K +39, Private, 103710, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +24, Private, 159580, Bachelors, 13, Never-married, Other-service, Own-child, Black, Female, 0, 0, 75, United-States, <=50K +45, Private, 117409, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 140001, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, State-gov, 31650, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Female, 0, 0, 45, United-States, <=50K +35, State-gov, 80771, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 66278, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 107801, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1617, 25, United-States, <=50K +33, Private, 206609, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 282461, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 188246, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 279763, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K +44, Private, 467799, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 137674, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +50, Private, 158284, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 204219, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +28, State-gov, 210498, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Federal-gov, 63526, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +38, Federal-gov, 216924, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 372559, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +57, Federal-gov, 199114, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2258, 40, United-States, <=50K +50, Private, 168539, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Local-gov, 189911, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +69, Local-gov, 61958, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 1424, 0, 6, United-States, <=50K +51, State-gov, 68898, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 2444, 39, United-States, >50K +42, Private, 204450, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +53, Private, 311350, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 113750, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 359591, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 132879, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K +20, Private, 301199, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +38, State-gov, 267540, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +52, Private, 185407, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, Poland, >50K +48, Self-emp-inc, 191277, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +30, Private, 78980, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Self-emp-not-inc, 241463, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 65, United-States, >50K +47, Private, 216999, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Local-gov, 120508, Bachelors, 13, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 60, Germany, <=50K +33, Private, 122612, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Thailand, <=50K +20, Private, 94057, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +41, State-gov, 197558, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 351869, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1485, 45, United-States, >50K +54, Self-emp-not-inc, 121761, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, <=50K +36, Federal-gov, 184556, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 268281, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 235646, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 186909, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +62, Private, 35783, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 188861, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 363591, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 469921, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 51150, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 174325, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 347530, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +50, Private, 72351, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +42, Local-gov, 185129, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, ?, >50K +36, Private, 188571, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 255252, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 291951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 223046, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 37937, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 43, United-States, <=50K +38, Private, 295127, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 183801, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 14, United-States, <=50K +40, Private, 116218, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +40, Private, 143069, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 235951, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +57, Private, 112840, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +65, Local-gov, 146454, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1648, 4, Greece, <=50K +52, Federal-gov, 43705, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +59, Private, 122283, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, India, >50K +18, Private, 376647, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 2176, 0, 25, United-States, <=50K +48, Private, 101299, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +45, Private, 96798, 5th-6th, 3, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 194654, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, State-gov, 206889, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 226902, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +44, State-gov, 150755, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 40, United-States, <=50K +24, Private, 200679, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 50, United-States, <=50K +71, Private, 183678, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K +17, Private, 33138, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 57071, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K +71, ?, 35303, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 30, United-States, >50K +37, Private, 188576, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +33, Private, 169496, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 58124, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 356344, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 444134, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K +18, ?, 340117, 11th, 7, Never-married, ?, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K +34, Private, 219619, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, ?, 334585, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +27, Local-gov, 331046, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +46, ?, 443179, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +64, ?, 239529, 11th, 7, Widowed, ?, Not-in-family, White, Female, 3674, 0, 35, United-States, <=50K +24, Private, 100345, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +23, Private, 205653, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +33, Private, 112383, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 21626, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 2202, 0, 56, United-States, <=50K +25, Private, 135568, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 190532, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +53, Federal-gov, 266598, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Local-gov, 116608, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +36, Private, 353263, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +25, State-gov, 157617, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Federal-gov, 21698, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 77143, 12th, 8, Separated, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +18, State-gov, 342852, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 176602, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 146343, Some-college, 10, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K +68, ?, 146645, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 20051, 0, 50, United-States, >50K +33, Private, 221966, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 2202, 0, 50, United-States, <=50K +22, Private, 215546, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +50, State-gov, 173020, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, ?, 247734, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 252202, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 497300, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 426431, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Federal-gov, 162410, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +77, ?, 143516, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K +25, Private, 190350, 10th, 6, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +20, Private, 194504, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Federal-gov, 110884, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +26, Private, 187652, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 81400, 1st-4th, 2, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, El-Salvador, <=50K +70, ?, 97831, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 4, United-States, <=50K +57, Private, 180920, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 189186, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, ?, 144172, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 16, United-States, <=50K +36, Private, 607848, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K +32, Private, 207301, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 293073, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +36, Private, 210452, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 41400, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 164170, Bachelors, 13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, Philippines, <=50K +48, Private, 112906, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K +49, Self-emp-not-inc, 126268, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 208311, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 20, United-States, >50K +61, Private, 28291, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 82, United-States, <=50K +42, Local-gov, 121998, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +42, Federal-gov, 31621, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Local-gov, 108386, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 134727, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 208391, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 112271, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 173350, Assoc-voc, 11, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 243190, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, India, >50K +55, Private, 185436, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +36, Private, 290409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 80058, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 48, United-States, <=50K +56, Local-gov, 370045, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 36936, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 40, United-States, <=50K +37, Private, 231180, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 119793, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 60, United-States, <=50K +38, Private, 102178, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +76, ?, 135039, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +35, ?, 317780, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 232840, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +35, Private, 33975, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 256997, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 298301, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 310380, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +45, Local-gov, 182100, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 501172, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K +43, State-gov, 143939, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, >50K +23, Private, 85088, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K +25, Private, 282313, 10th, 6, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 1602, 40, United-States, <=50K +39, Private, 230054, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +63, Private, 236338, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K +37, Private, 321943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Federal-gov, 218782, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Other, Male, 0, 0, 40, United-States, <=50K +33, Private, 191385, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +45, Self-emp-inc, 185497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 70, ?, <=50K +28, Private, 126129, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 199268, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +34, Private, 255693, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K +34, Private, 203488, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 203233, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 203836, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Private, 187847, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +38, Private, 116358, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +46, Self-emp-inc, 198660, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 72, United-States, >50K +43, Self-emp-not-inc, 89636, Bachelors, 13, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 60, South, <=50K +49, Private, 120629, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +26, Local-gov, 150226, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K +28, Private, 137898, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +54, Self-emp-inc, 146574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 88725, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Other, Female, 0, 0, 40, ?, <=50K +24, Private, 142022, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 284898, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 30, United-States, <=50K +55, Local-gov, 212448, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 203039, 9th, 5, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 227489, HS-grad, 9, Never-married, Tech-support, Other-relative, Black, Male, 0, 0, 40, ?, <=50K +19, Private, 105289, 10th, 6, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K +28, ?, 223745, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 242994, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +30, Private, 196385, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +76, Private, 116202, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K +47, Private, 140045, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 133503, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K +40, Private, 226585, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +24, Private, 85041, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +30, Private, 162442, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 50, United-States, >50K +67, Private, 279980, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 10605, 0, 10, United-States, >50K +24, Private, 216563, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +43, Local-gov, 231964, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 263855, 12th, 8, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 124915, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Federal-gov, 178312, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Local-gov, 215862, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K +21, State-gov, 39236, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +58, Private, 349910, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +52, Private, 75839, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 176711, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 266525, Some-college, 10, Never-married, Prof-specialty, Other-relative, Black, Female, 594, 0, 20, United-States, <=50K +25, ?, 34307, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 331776, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 111469, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, State-gov, 198965, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 288185, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +21, Private, 198050, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +65, Private, 242580, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 11678, 0, 50, United-States, >50K +37, Private, 173128, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 87905, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K +44, Private, 173704, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Federal-gov, 93225, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K +38, Private, 323269, Some-college, 10, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 158046, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 70, United-States, <=50K +32, Private, 133503, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 172296, Some-college, 10, Separated, Sales, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +39, ?, 201105, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 176486, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +25, Self-emp-inc, 182750, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +23, Private, 82497, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K +47, Private, 208872, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 145269, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +25, Private, 19214, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 149347, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +68, ?, 53850, 7th-8th, 4, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +50, Private, 158294, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K +47, Private, 152073, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 189623, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Private, 341368, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 201603, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 2176, 0, 40, United-States, <=50K +35, Private, 270572, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +30, Private, 285295, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +17, Private, 126779, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +49, ?, 202874, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K +27, Private, 373499, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, El-Salvador, <=50K +22, Private, 244773, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K +22, State-gov, 96862, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 162632, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 2, United-States, <=50K +51, Self-emp-not-inc, 159755, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K +27, Private, 37088, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 335421, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +23, Never-worked, 188535, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +20, State-gov, 349365, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 33002, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +32, Private, 330715, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K +45, Private, 146857, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K +35, Private, 275522, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 80, United-States, <=50K +22, Private, 43646, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 154548, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +28, Private, 47907, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 238397, Bachelors, 13, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +48, Local-gov, 195949, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, >50K +22, ?, 354351, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 349169, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +25, Private, 158662, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, >50K +23, Local-gov, 23438, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 107302, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +43, Private, 174196, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Local-gov, 226871, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K +23, Private, 124971, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 214061, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 441700, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 104892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, >50K +34, Private, 234386, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Local-gov, 188278, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 244395, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 30916, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +48, Private, 219565, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 377486, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K +42, Local-gov, 137232, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +53, Private, 233369, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 71067, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +59, Private, 195176, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, <=50K +31, Private, 98639, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 183778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 123011, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2559, 50, United-States, >50K +25, Private, 164938, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 4416, 0, 40, United-States, <=50K +28, ?, 147471, HS-grad, 9, Divorced, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K +30, Private, 206046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K +46, Private, 81497, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +45, Private, 189225, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 141264, Some-college, 10, Never-married, Exec-managerial, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 97939, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +44, Private, 160829, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 20, United-States, >50K +25, Private, 483822, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K +48, State-gov, 148738, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 289982, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 58702, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 50, United-States, >50K +20, Private, 146706, Some-college, 10, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 420973, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +71, Private, 124959, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, State-gov, 121471, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 198237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +27, Private, 280758, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 191544, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 261023, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +30, State-gov, 231043, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 340917, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 167140, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K +39, Private, 370795, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +39, Federal-gov, 209609, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +74, Private, 209454, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 78530, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +25, Private, 88922, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +64, Private, 86972, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 165468, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K +37, Private, 134367, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 37, United-States, >50K +47, Private, 199058, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 183612, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 191982, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K +22, Private, 514033, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 80, United-States, <=50K +56, Private, 172364, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 190105, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 55, United-States, <=50K +30, Self-emp-inc, 119422, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +20, Private, 236592, 12th, 8, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, Italy, <=50K +53, State-gov, 43952, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 38, United-States, >50K +43, Private, 194636, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +23, Private, 235853, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 150528, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +30, Private, 213722, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 41432, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 46, United-States, <=50K +22, Private, 285775, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 470663, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +54, Self-emp-not-inc, 114520, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 113466, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 224559, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +59, Private, 186385, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, ?, 167094, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +18, ?, 216508, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +41, Local-gov, 384236, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 181265, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +58, Private, 190997, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 98287, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 103456, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 184723, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 1980, 35, United-States, <=50K +25, Private, 165622, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +29, Private, 101597, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 54, United-States, <=50K +53, Private, 146378, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Local-gov, 152163, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, State-gov, 106812, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +21, Private, 148211, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 3674, 0, 50, United-States, <=50K +45, Private, 187581, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 135296, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +72, Local-gov, 144515, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1258, 40, United-States, <=50K +51, Private, 210736, 10th, 6, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 210165, 9th, 5, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 224584, Some-college, 10, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 80771, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +46, Private, 164733, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 41, United-States, <=50K +31, Self-emp-not-inc, 119411, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K +68, Local-gov, 177596, 10th, 6, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 90, United-States, <=50K +43, ?, 396116, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 185251, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 173590, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 3, United-States, <=50K +56, Federal-gov, 196307, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, ?, 293091, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K +36, Private, 175232, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +21, Private, 51047, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +21, Private, 334618, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Female, 99999, 0, 40, United-States, >50K +52, Local-gov, 152795, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 205601, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K +52, Private, 129177, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 2824, 20, United-States, >50K +51, Self-emp-not-inc, 121548, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K +29, Private, 244566, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 75073, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K +29, Private, 179008, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +21, Private, 170800, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +58, Private, 373344, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 127961, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 99392, Some-college, 10, Divorced, Craft-repair, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K +30, Private, 392812, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, Germany, <=50K +29, Private, 262478, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +48, Self-emp-not-inc, 32825, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 167380, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 203204, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, >50K +35, Federal-gov, 105138, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +54, Private, 145714, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 25, United-States, >50K +24, Private, 182276, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K +20, Private, 275385, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +30, Self-emp-not-inc, 292472, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, >50K +19, Self-emp-not-inc, 73514, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K +26, Private, 199600, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 111499, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 99, United-States, >50K +25, Private, 202560, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 99309, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +60, Local-gov, 124987, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +30, Private, 287986, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 119411, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 198668, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 117583, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 234664, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, ?, 114357, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 176949, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K +33, Private, 189710, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K +65, Private, 205309, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, United-States, <=50K +34, Private, 195576, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Private, 216825, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, Mexico, <=50K +23, ?, 329174, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 197036, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 181291, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1564, 50, United-States, >50K +31, Private, 206512, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +28, State-gov, 38309, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 6849, 0, 40, United-States, <=50K +37, Private, 312766, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 139671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +66, Federal-gov, 38621, Assoc-voc, 11, Widowed, Other-service, Unmarried, Black, Female, 3273, 0, 40, United-States, <=50K +31, Private, 124827, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 77820, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Federal-gov, 56904, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 45, United-States, <=50K +45, Private, 190115, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 106682, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, Local-gov, 42596, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 143058, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K +53, Private, 102615, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +54, Private, 139703, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, Germany, >50K +43, Private, 240124, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 132565, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 323798, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K +52, Private, 96359, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, >50K +20, Private, 165201, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 4, United-States, <=50K +60, Federal-gov, 165630, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K +45, Private, 264526, Assoc-acdm, 12, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 102359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K +28, Private, 37359, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +61, ?, 232618, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Local-gov, 115497, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 157747, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K +27, Self-emp-not-inc, 41099, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +38, Private, 472604, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K +33, Private, 348618, 5th-6th, 3, Married-spouse-absent, Transport-moving, Unmarried, Other, Male, 0, 0, 20, El-Salvador, <=50K +43, Private, 135606, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +36, Private, 248445, HS-grad, 9, Separated, Transport-moving, Other-relative, White, Male, 0, 0, 60, Mexico, <=50K +38, Private, 112093, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Local-gov, 197552, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 303822, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 288566, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, ?, 487411, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Self-emp-not-inc, 43348, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +39, State-gov, 239409, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 337606, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1485, 40, United-States, <=50K +34, Private, 32528, Assoc-voc, 11, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 974, 40, United-States, <=50K +47, State-gov, 118447, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +46, Private, 234690, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 141003, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K +43, Private, 216042, Some-college, 10, Divorced, Tech-support, Own-child, White, Female, 0, 1617, 72, United-States, <=50K +45, Private, 190482, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 381965, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 186943, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K +39, Private, 142707, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 53447, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 127772, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 344414, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 194138, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +49, ?, 558183, Assoc-voc, 11, Married-spouse-absent, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 150154, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 306114, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +72, ?, 177121, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K +58, Local-gov, 368797, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 35, United-States, >50K +43, Self-emp-inc, 175715, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K +62, Private, 416829, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 21, United-States, <=50K +21, Private, 350001, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 339952, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 114967, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 164190, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 38, United-States, >50K +49, Local-gov, 166039, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 250135, HS-grad, 9, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 234960, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1887, 48, United-States, >50K +29, Private, 103628, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +58, Private, 430005, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Self-emp-inc, 106517, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 162236, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 92430, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Local-gov, 40641, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +47, Private, 169388, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +36, Local-gov, 410034, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +48, Private, 237525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 65, United-States, >50K +35, Private, 150057, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 148549, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +43, Private, 75742, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 177675, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K +49, Local-gov, 193249, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 266072, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, El-Salvador, <=50K +28, ?, 80165, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +25, Private, 339324, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +69, ?, 111238, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +41, Self-emp-not-inc, 284086, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 206051, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 426263, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K +49, Private, 102583, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 44, United-States, >50K +40, Private, 277647, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 124808, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, Germany, >50K +47, Private, 193061, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +50, Private, 121411, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 89202, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 232900, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +30, Local-gov, 319280, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +79, ?, 165209, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 193494, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +67, Self-emp-not-inc, 195066, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 99146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +35, Private, 92028, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 174419, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 57916, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 383384, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 198223, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K +20, Private, 109813, 11th, 7, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 174298, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +40, Private, 45687, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 4787, 0, 50, United-States, >50K +28, Private, 263614, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 96128, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 220262, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 35340, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 280483, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-inc, 254211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K +29, Private, 351324, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 58602, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +37, Private, 64922, Bachelors, 13, Separated, Other-service, Not-in-family, White, Male, 0, 0, 70, England, <=50K +41, Federal-gov, 185616, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K +43, Private, 185832, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K +24, Private, 254767, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2105, 0, 50, United-States, <=50K +39, Federal-gov, 32312, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +47, Self-emp-not-inc, 109421, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +42, Private, 183205, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +39, Private, 156897, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 2258, 42, United-States, >50K +48, Local-gov, 145886, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +47, Local-gov, 29819, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 50, United-States, >50K +27, Private, 244566, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 253801, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Ecuador, <=50K +22, Private, 181313, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +37, State-gov, 150566, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +38, Private, 237713, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 112137, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 4508, 0, 40, Cambodia, <=50K +48, Local-gov, 187969, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 80, United-States, <=50K +46, Self-emp-not-inc, 224108, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K +51, Private, 174754, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +28, Self-emp-inc, 219705, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 55, United-States, <=50K +35, Private, 167062, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 190325, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K +45, Private, 108859, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 344351, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +73, Private, 153127, Some-college, 10, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +52, Private, 180881, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 183066, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Federal-gov, 339002, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 185480, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, ?, >50K +20, Private, 172047, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K +42, Private, 94600, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +37, Private, 302604, Some-college, 10, Separated, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 248094, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 36467, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Private, 53181, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +20, Private, 181032, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 248990, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 40512, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 3674, 0, 30, United-States, <=50K +37, Private, 117381, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 80, United-States, >50K +18, ?, 173125, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 24, United-States, <=50K +33, ?, 316663, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 50, United-States, <=50K +26, Private, 154966, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +24, Private, 198259, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +33, Private, 167939, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +23, Private, 131275, HS-grad, 9, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +20, ?, 236523, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 272950, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 174503, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +24, Private, 116800, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, United-States, <=50K +38, Private, 110713, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Private, 202044, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +44, Private, 300528, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 54985, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K +57, Private, 133126, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 74593, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +44, Private, 302424, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +21, Private, 344492, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +31, Private, 349148, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 222221, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 42, United-States, >50K +45, Private, 234699, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 60, United-States, >50K +20, Local-gov, 243178, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 189728, HS-grad, 9, Separated, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +47, Self-emp-not-inc, 318593, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K +41, Private, 108681, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 187376, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +41, State-gov, 75409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +46, Private, 172581, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +49, Private, 266150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 271092, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, ?, <=50K +50, Private, 135643, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K +59, Private, 46466, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 130652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +47, Local-gov, 114459, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K +47, ?, 109832, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 5178, 0, 30, Canada, >50K +45, Private, 195554, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +17, Private, 244589, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-inc, 271901, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, >50K +73, Private, 139978, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 180446, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +64, ?, 178724, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K +38, State-gov, 341643, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +37, Federal-gov, 289653, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +62, Self-emp-inc, 118725, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 20051, 0, 72, United-States, >50K +26, Private, 187891, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 116338, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +46, Private, 102771, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K +51, Private, 89652, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 4787, 0, 24, United-States, >50K +54, Federal-gov, 439608, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 330144, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 251905, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 218955, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 188972, Doctorate, 16, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 10, Canada, <=50K +60, Self-emp-not-inc, 25825, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +33, Private, 202046, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K +62, Private, 116104, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, Germany, <=50K +20, Private, 194891, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 125550, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 14084, 0, 35, United-States, >50K +66, Private, 116468, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 2936, 0, 20, United-States, <=50K +32, ?, 285131, Assoc-acdm, 12, Never-married, ?, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +29, State-gov, 409201, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +70, Self-emp-inc, 379819, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 10566, 0, 40, United-States, <=50K +74, Private, 97167, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 15, United-States, <=50K +37, Local-gov, 244803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +51, Self-emp-not-inc, 115851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 118058, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +42, Private, 258589, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +26, Private, 158810, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +27, Local-gov, 92431, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 2231, 40, United-States, >50K +58, Self-emp-not-inc, 165695, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +30, ?, 97281, Some-college, 10, Separated, ?, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 244147, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K +66, Self-emp-inc, 253741, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1825, 10, United-States, >50K +23, Private, 170482, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 241001, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K +50, Private, 165001, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, ?, 297117, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 340260, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +31, Private, 96480, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +30, Private, 185177, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 49, United-States, <=50K +84, Self-emp-inc, 172907, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K +35, Self-emp-not-inc, 308874, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 54098, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +46, Private, 288608, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 254148, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +37, Private, 111128, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 171116, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +53, Self-emp-inc, 96062, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 48, United-States, >50K +27, Federal-gov, 276776, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 152878, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 149211, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 58343, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +38, Private, 127601, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 35, United-States, <=50K +29, Private, 357781, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 137367, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male, 0, 0, 44, Philippines, <=50K +34, Private, 110978, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +31, Private, 34503, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 84119, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K +20, Private, 223515, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 372525, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 48, United-States, <=50K +32, Private, 116365, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K +36, Private, 111268, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 225599, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, India, >50K +78, ?, 83511, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Portugal, <=50K +46, Self-emp-not-inc, 199596, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +18, Private, 301867, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K +57, Private, 191983, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 105803, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 456236, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 116255, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +32, Private, 235109, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Federal-gov, 91716, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 121102, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 2001, 30, United-States, <=50K +70, Private, 235781, Some-college, 10, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +40, Private, 136986, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Self-emp-not-inc, 33658, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 53878, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 200928, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 173736, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +28, Private, 214385, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +58, Private, 102509, 10th, 6, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +38, Private, 173047, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 213, 40, Philippines, <=50K +59, Self-emp-not-inc, 241297, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Female, 6849, 0, 40, United-States, <=50K +18, Private, 329054, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +40, Private, 274158, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-inc, 241153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 200117, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1887, 50, ?, >50K +45, Private, 229516, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 72, Mexico, <=50K +62, ?, 250091, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K +24, State-gov, 247075, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +22, Private, 315524, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 30, Dominican-Republic, <=50K +23, Private, 126945, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 29874, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +28, Private, 115579, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 38, United-States, <=50K +51, Private, 29580, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 30, United-States, >50K +44, Private, 56483, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K +73, ?, 89852, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Portugal, <=50K +24, Private, 420779, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 35, United-States, <=50K +24, Private, 255474, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 241444, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 50, Puerto-Rico, <=50K +43, Private, 85995, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +67, Self-emp-inc, 116986, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 217962, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +36, Private, 20507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K +43, Private, 184099, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 117816, 7th-8th, 4, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 70, United-States, <=50K +23, Private, 263899, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, Haiti, <=50K +26, Private, 45869, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 186539, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 326310, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +55, Local-gov, 84564, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K +49, Private, 247294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +34, Private, 72793, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +29, Private, 261375, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 60, United-States, <=50K +50, Private, 77905, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +19, Private, 66838, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 9, United-States, <=50K +63, State-gov, 194682, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +66, Private, 180211, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K +65, ?, 79272, Some-college, 10, Widowed, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 6, United-States, <=50K +60, Private, 101198, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +60, Private, 80574, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +19, Private, 198663, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Self-emp-inc, 160340, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +75, Self-emp-not-inc, 205860, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1735, 40, United-States, <=50K +58, State-gov, 69579, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +18, Self-emp-not-inc, 379242, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +65, Private, 113323, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3818, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 312477, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +26, Private, 259505, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Federal-gov, 171335, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +19, ?, 541282, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Federal-gov, 155970, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 99682, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 52, Canada, >50K +23, Private, 117789, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 296158, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Local-gov, 78859, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, ?, 188070, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K +50, Private, 189811, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, State-gov, 518030, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 1590, 40, Puerto-Rico, <=50K +32, Private, 360593, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +40, Private, 145504, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 459248, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +30, ?, 288419, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K +42, State-gov, 126094, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 39, United-States, <=50K +23, Private, 209483, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K +37, Self-emp-not-inc, 32239, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K +21, Private, 210355, 11th, 7, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +28, Private, 84547, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +50, ?, 260579, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 105585, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K +21, Private, 132320, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 129172, Some-college, 10, Never-married, Other-service, Other-relative, White, Male, 0, 0, 16, United-States, <=50K +45, Self-emp-not-inc, 222374, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 201498, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Self-emp-inc, 251675, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 8614, 0, 50, Cuba, >50K +41, Private, 114157, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Local-gov, 148121, Bachelors, 13, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +73, ?, 84053, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +34, Private, 96480, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 179423, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +58, State-gov, 123329, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +41, Private, 134130, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +53, Private, 188644, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +40, Private, 226388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 209205, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +32, Private, 209808, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 47, United-States, <=50K +44, Self-emp-inc, 56236, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 2202, 0, 45, United-States, <=50K +18, Private, 28648, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +37, State-gov, 34996, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 281422, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K +22, Private, 214716, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 314177, 10th, 6, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +51, Private, 112310, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +63, Private, 203783, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 72, United-States, <=50K +29, Private, 205499, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K +44, Private, 145441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 48, United-States, >50K +44, Private, 155701, 7th-8th, 4, Separated, Other-service, Unmarried, White, Female, 0, 0, 38, Peru, <=50K +37, State-gov, 186934, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Federal-gov, 209433, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +31, Private, 80933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K +20, Private, 102607, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +48, Private, 254809, 10th, 6, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 1594, 32, United-States, <=50K +24, Self-emp-not-inc, 102942, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +56, State-gov, 175057, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Federal-gov, 68781, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 108594, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 98283, Prof-school, 15, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 1564, 40, India, >50K +39, Private, 56269, Some-college, 10, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 152503, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K +38, Self-emp-inc, 206951, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K +23, Private, 82393, 9th, 5, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K +37, Private, 167396, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +30, Self-emp-not-inc, 123397, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +58, ?, 147653, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 36, United-States, <=50K +42, Private, 118652, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Local-gov, 114401, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 1504, 19, United-States, <=50K +45, Private, 186272, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 7298, 0, 40, United-States, >50K +46, Private, 182689, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 231016, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 37, United-States, <=50K +41, Self-emp-inc, 60949, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +49, Private, 129513, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 84306, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 117507, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 88050, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 6, United-States, <=50K +22, Private, 305498, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 33, United-States, <=50K +17, Private, 295308, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 20, United-States, <=50K +47, Private, 114459, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 176017, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 15, United-States, <=50K +39, Private, 248445, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +23, Private, 214542, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 384508, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Federal-gov, 403489, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +52, Private, 143953, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +21, Private, 254904, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +33, Private, 98995, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +17, ?, 237078, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +41, Private, 193995, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +19, Private, 205829, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +38, Federal-gov, 205852, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +24, Private, 37072, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 275338, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 1151, 0, 40, United-States, <=50K +39, State-gov, 122353, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +19, Private, 100009, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +31, ?, 37030, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +42, Private, 135056, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 135162, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 45, ?, <=50K +29, Private, 280618, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 226717, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +47, Local-gov, 173938, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 291355, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +61, Federal-gov, 160155, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 29762, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, ?, 82473, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +59, Private, 172071, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 38, Jamaica, <=50K +29, Private, 166210, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +26, Private, 330263, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 247043, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Federal-gov, 155238, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 130557, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 56986, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K +29, Private, 220692, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 121650, 5th-6th, 3, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K +67, Private, 174603, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +29, Private, 341846, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +33, Private, 99339, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 880, 40, United-States, <=50K +32, Private, 34437, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 141058, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 62, Mexico, <=50K +49, Private, 192323, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 117674, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +39, Private, 28572, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 120277, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 164309, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +47, Federal-gov, 102771, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 147951, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 1, United-States, <=50K +23, Private, 188409, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 4508, 0, 25, United-States, <=50K +44, Private, 173888, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K +25, Private, 247006, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 82889, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K +52, Private, 259363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +62, Federal-gov, 159165, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +31, Private, 112062, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 299050, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +22, ?, 186452, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K +53, Private, 548580, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +25, Private, 234057, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 241350, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +69, Private, 108196, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 2993, 0, 40, United-States, <=50K +49, Private, 278322, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 157443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 27, Taiwan, >50K +44, Self-emp-not-inc, 37618, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Local-gov, 238582, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, >50K +37, State-gov, 28887, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 77820, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +22, Private, 110946, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Local-gov, 230420, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 206521, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, ?, 156877, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +28, Local-gov, 283227, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K +28, Private, 141957, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 58337, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, ?, <=50K +73, Local-gov, 161027, 5th-6th, 3, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 20, United-States, <=50K +37, Self-emp-not-inc, 31670, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 205844, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 65, United-States, <=50K +30, State-gov, 46144, HS-grad, 9, Married-AF-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K +38, Private, 168055, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 98350, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +69, ?, 182668, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, >50K +43, Private, 208613, Prof-school, 15, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 99999, 0, 40, United-States, >50K +42, Private, 334522, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +54, State-gov, 187686, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +27, State-gov, 365916, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 58, United-States, <=50K +39, Private, 190719, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 218184, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K +30, Private, 222162, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 66, United-States, <=50K +30, Private, 148524, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2057, 40, United-States, <=50K +37, Private, 267085, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Federal-gov, 307555, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +36, Private, 229180, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K +22, Private, 279041, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 10, United-States, <=50K +21, Private, 312017, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 54782, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1579, 42, United-States, <=50K +76, Private, 70697, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +22, ?, 263970, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +37, Private, 188774, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 302770, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, Private, 183639, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 97, United-States, <=50K +29, Private, 178551, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 175343, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +73, Self-emp-not-inc, 190078, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +43, Private, 117627, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +39, Private, 108419, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +74, Private, 183701, 10th, 6, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 6, United-States, <=50K +27, State-gov, 208406, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 148884, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +90, Private, 87285, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +47, Private, 199058, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +42, Private, 173628, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +69, Private, 370837, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 179484, 12th, 8, Never-married, ?, Own-child, Other, Male, 0, 0, 40, United-States, <=50K +23, Private, 342769, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +44, Local-gov, 65145, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +41, Private, 150533, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 40, United-States, <=50K +47, Local-gov, 272182, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 403467, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 7688, 0, 40, United-States, >50K +33, Private, 252168, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +48, Private, 80430, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +39, Private, 189623, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +43, Private, 115806, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 2547, 40, United-States, >50K +18, ?, 28357, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +52, Private, 226084, HS-grad, 9, Widowed, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 150817, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +27, Self-emp-inc, 190911, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K +27, Self-emp-inc, 120126, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K +45, Local-gov, 255559, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +79, ?, 142370, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K +24, Private, 173679, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +25, Private, 35854, Some-college, 10, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 82161, 10th, 6, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +63, Self-emp-not-inc, 129845, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 226505, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 46, United-States, >50K +47, Private, 151584, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K +42, Private, 136419, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Private, 66460, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +63, Local-gov, 379940, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Local-gov, 102936, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +65, Private, 205309, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K +30, ?, 156890, 10th, 6, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 208711, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K +46, Private, 137547, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +23, Private, 220168, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 25, Jamaica, <=50K +47, Local-gov, 37672, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K +20, Private, 196643, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +21, ?, 355686, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K +28, Private, 197484, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, Local-gov, 115023, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, State-gov, 234824, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 72, United-States, <=50K +30, State-gov, 361497, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K +29, Private, 351871, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +39, Private, 324231, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 123490, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +32, Private, 188245, 11th, 7, Never-married, Priv-house-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +63, Private, 50349, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K +19, Self-emp-not-inc, 47176, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +57, State-gov, 290661, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +41, Private, 221172, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 188950, Assoc-voc, 11, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 356882, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +43, Self-emp-inc, 150533, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +64, Self-emp-not-inc, 167149, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K +56, Private, 301835, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 313729, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 130957, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +17, Private, 197732, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K +17, Private, 250541, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +29, Private, 218785, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 65, United-States, <=50K +23, ?, 232512, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 194630, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 38721, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 22, United-States, <=50K +36, Private, 201519, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +50, Private, 279337, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +41, ?, 27187, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 2415, 12, United-States, >50K +31, Private, 87560, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +71, ?, 100820, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 2489, 15, United-States, <=50K +56, Private, 208431, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K +51, Private, 143822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +20, Private, 163205, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +53, Private, 171924, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 14344, 0, 55, United-States, >50K +33, State-gov, 137616, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +27, Private, 156516, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 2377, 20, United-States, <=50K +40, Private, 119101, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +45, Private, 117556, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +54, Private, 147863, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 5013, 0, 40, Vietnam, <=50K +33, Self-emp-not-inc, 24504, HS-grad, 9, Separated, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +27, ?, 157624, HS-grad, 9, Separated, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 181721, 10th, 6, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 60, United-States, <=50K +42, Local-gov, 55363, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +33, Private, 92865, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 258633, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, ?, <=50K +52, Federal-gov, 221532, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Local-gov, 183224, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, >50K +30, Private, 381153, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 300871, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 33710, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 60, United-States, >50K +26, Private, 158333, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K +36, Private, 288103, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 108907, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 358533, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K +24, Private, 126613, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 8, United-States, <=50K +30, Private, 164190, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 52, United-States, >50K +38, Private, 199816, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 98228, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +41, Local-gov, 129060, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 22245, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +36, Private, 226918, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K +47, Private, 398652, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +59, Private, 268840, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 16, United-States, >50K +35, ?, 103710, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 16, ?, <=50K +59, Private, 91384, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +52, Private, 174767, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +37, Self-emp-inc, 126675, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +52, Private, 82285, Bachelors, 13, Married-spouse-absent, Other-service, Other-relative, Black, Female, 0, 0, 40, Haiti, <=50K +51, Private, 177727, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +67, Self-emp-not-inc, 345236, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +58, ?, 347692, 11th, 7, Divorced, ?, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K +68, Private, 156000, 10th, 6, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +71, Private, 228806, 9th, 5, Divorced, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 6, United-States, <=50K +49, Local-gov, 184428, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 102938, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 161063, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 253752, 10th, 6, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 274800, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 129804, 9th, 5, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K +22, Federal-gov, 65547, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 107658, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +57, Private, 161097, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K +18, Private, 118376, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +32, Private, 131224, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 120985, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 215392, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 63685, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Cambodia, <=50K +48, Private, 131826, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 211440, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K +35, Private, 31023, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 145439, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Other, Male, 4064, 0, 40, Mexico, <=50K +19, Private, 255161, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K +28, Private, 411950, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 275818, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K +18, Private, 318082, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +23, Local-gov, 287988, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Local-gov, 138342, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 3411, 0, 40, El-Salvador, <=50K +42, Federal-gov, 115932, Bachelors, 13, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 60358, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 140117, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K +34, Private, 158040, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +30, Self-emp-inc, 321990, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, ?, >50K +29, Private, 232784, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 349368, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +46, Federal-gov, 325573, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +69, Private, 140176, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K +50, Private, 128478, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +19, ?, 318264, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +59, Private, 147989, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K +45, Federal-gov, 155659, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +41, State-gov, 288433, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +47, Federal-gov, 329205, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 171373, 11th, 7, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 228860, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 196116, Prof-school, 15, Divorced, Prof-specialty, Own-child, White, Female, 2174, 0, 72, United-States, <=50K +17, Private, 47771, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +24, Private, 201680, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 337378, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 246449, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K +48, Private, 227714, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 177285, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +38, Private, 71701, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, Portugal, <=50K +49, Private, 30219, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1669, 40, United-States, <=50K +42, Private, 280167, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Self-emp-inc, 27408, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 167031, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K +41, Private, 173682, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 278557, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +32, Private, 113688, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +41, Self-emp-not-inc, 252986, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 33669, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +56, Private, 100776, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K +47, Self-emp-not-inc, 177457, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +30, State-gov, 312767, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +51, Private, 43354, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Self-emp-inc, 375422, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, South, <=50K +49, Self-emp-not-inc, 263568, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +67, ?, 74335, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 10, Germany, <=50K +26, Private, 302097, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 48, United-States, <=50K +35, Private, 248010, Bachelors, 13, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +37, ?, 87369, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 405577, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, State-gov, 167065, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 102476, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Federal-gov, 526528, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 3887, 0, 40, United-States, <=50K +32, Private, 175878, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +55, Private, 213894, 11th, 7, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +17, Private, 150262, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +40, Private, 75363, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 272671, Bachelors, 13, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K +67, Self-emp-inc, 411007, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 15831, 0, 40, United-States, >50K +44, Private, 222434, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 180246, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +25, Private, 171236, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 367037, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 304651, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +62, Private, 97017, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +20, Private, 146879, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K +45, State-gov, 320818, Some-college, 10, Married-spouse-absent, Other-service, Other-relative, Black, Male, 0, 0, 40, Haiti, <=50K +47, Self-emp-not-inc, 84735, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K +49, Private, 184428, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 326886, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +24, ?, 169624, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +29, Private, 212102, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +23, Private, 175837, 11th, 7, Never-married, Farming-fishing, Other-relative, White, Female, 0, 0, 40, Puerto-Rico, <=50K +50, Private, 177487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 286750, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1902, 40, United-States, >50K +44, Private, 171424, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 194981, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 36, United-States, <=50K +73, Private, 199362, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +24, Private, 204226, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, State-gov, 72506, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K +61, Self-emp-inc, 61040, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 36, United-States, >50K +37, Federal-gov, 194630, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 391867, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 94080, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 289405, 11th, 7, Never-married, Machine-op-inspct, Own-child, Other, Male, 0, 0, 12, United-States, <=50K +30, Private, 170130, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 158118, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1719, 40, United-States, <=50K +30, Private, 447739, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +90, ?, 39824, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 401, 0, 4, United-States, <=50K +76, ?, 312500, 5th-6th, 3, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 223342, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1504, 35, United-States, <=50K +65, ?, 293385, Preschool, 1, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K +25, Private, 106377, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 66118, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 274883, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Local-gov, 123773, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +42, Local-gov, 70655, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +49, Private, 177426, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 200374, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +19, State-gov, 159269, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K +24, Private, 235894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K +34, Local-gov, 97723, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 167309, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 98106, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Federal-gov, 22201, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K +45, Private, 108993, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 265954, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 100960, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 170092, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +54, Private, 326156, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 216932, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +69, Private, 36956, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 50, United-States, >50K +24, Private, 214014, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 99872, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +61, State-gov, 151459, 10th, 6, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +57, Self-emp-inc, 161662, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K +56, Private, 367200, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 86648, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K +51, Local-gov, 168539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Private, 140741, 11th, 7, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 197651, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 43, United-States, <=50K +46, Private, 123053, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K +23, Private, 330571, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 204235, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, State-gov, 346766, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, ?, 257250, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 163396, Some-college, 10, Never-married, Tech-support, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K +78, ?, 135839, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 1086, 0, 20, United-States, <=50K +18, Private, 36251, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +40, Private, 149102, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 2174, 0, 60, Poland, <=50K +61, ?, 222395, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, State-gov, 29152, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 79303, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 272338, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, State-gov, 200497, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +19, Private, 148392, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +31, Private, 164243, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K +43, State-gov, 129298, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Local-gov, 174981, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 47, United-States, >50K +48, Local-gov, 328610, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 77774, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 34, United-States, <=50K +38, State-gov, 134069, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K +35, Private, 209214, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4386, 0, 35, United-States, >50K +29, Private, 153805, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 40, Ecuador, <=50K +27, Private, 168827, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 2, United-States, <=50K +31, Private, 373432, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K +26, Private, 57600, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Self-emp-not-inc, 302847, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +23, Private, 227594, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +32, Federal-gov, 44777, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 46, United-States, <=50K +54, ?, 133963, HS-grad, 9, Widowed, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 279615, Bachelors, 13, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 276133, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +62, Private, 136314, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 204410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 44, United-States, >50K +59, Self-emp-inc, 223215, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +43, Private, 184625, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +34, Self-emp-inc, 265917, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 158647, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 22055, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +41, Local-gov, 176716, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 270721, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +24, Private, 100321, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +35, Private, 79050, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 72, United-States, <=50K +40, Local-gov, 42703, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +46, Private, 116952, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K +45, Private, 331643, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 207937, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1092, 40, United-States, <=50K +68, Private, 223486, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 7, England, <=50K +33, Private, 340332, Bachelors, 13, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K +23, Private, 184813, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +42, Self-emp-not-inc, 32185, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +30, Private, 197886, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +35, State-gov, 248374, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 382499, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +36, State-gov, 108320, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 5455, 0, 30, United-States, <=50K +46, Self-emp-inc, 161386, 9th, 5, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, <=50K +49, Local-gov, 110172, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 144032, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +26, Private, 224426, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 38, United-States, <=50K +37, Private, 230408, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +50, Local-gov, 20795, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 174714, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +59, State-gov, 398626, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 45, United-States, >50K +30, Private, 149531, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 34113, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +44, Local-gov, 323790, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 331381, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 160647, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Ireland, >50K +34, Private, 339142, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 164857, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K +33, Local-gov, 267859, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 167725, Bachelors, 13, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male, 0, 0, 84, India, <=50K +49, Federal-gov, 586657, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +67, Self-emp-not-inc, 105907, 1st-4th, 2, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +23, Private, 200677, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 193882, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 138026, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 122385, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 49020, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +26, Private, 283715, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 286406, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +36, Private, 166416, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 156334, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 45607, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +40, Local-gov, 112362, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 200419, Assoc-acdm, 12, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +42, State-gov, 341638, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +25, ?, 34161, 12th, 8, Separated, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +50, Self-emp-not-inc, 127151, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, Canada, >50K +52, Private, 321959, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K +51, Local-gov, 35211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +19, Private, 214935, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 132130, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 222247, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 165799, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 257874, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +38, Private, 357173, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, State-gov, 305739, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 172047, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 110677, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, ?, 405684, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K +60, Private, 82388, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K +45, Private, 289230, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 48, United-States, >50K +26, Private, 101812, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 5721, 0, 40, United-States, <=50K +49, State-gov, 336509, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 383402, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +47, Private, 328216, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K +40, Private, 280362, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +34, Private, 212064, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 7443, 0, 35, United-States, <=50K +42, Private, 173704, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 433375, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K +63, Self-emp-not-inc, 106551, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 22418, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 54816, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 358199, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +43, Private, 190044, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 97698, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +56, Private, 53366, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 236136, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 326232, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +34, Private, 581071, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +40, Private, 220589, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Federal-gov, 161463, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +44, Private, 95255, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Federal-gov, 223267, Some-college, 10, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 72, United-States, <=50K +22, Private, 236769, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, England, <=50K +58, Self-emp-inc, 229498, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, >50K +43, Private, 177083, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 287681, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Columbia, <=50K +41, Private, 49797, Some-college, 10, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 174051, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +32, Private, 194901, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 252250, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K +47, Private, 191277, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 174907, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +39, Private, 167140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 236543, 12th, 8, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 54, Mexico, <=50K +40, Private, 214242, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 216864, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 3770, 45, United-States, <=50K +34, Private, 245211, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 2036, 0, 30, United-States, <=50K +57, Private, 437727, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K +71, Private, 200418, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Local-gov, 167334, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +54, Private, 146834, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +26, Private, 78424, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 54, United-States, <=50K +37, Private, 182675, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K +28, Self-emp-not-inc, 38079, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +42, Private, 115178, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +45, Private, 195949, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 167415, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Private, 223214, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 22245, Bachelors, 13, Married-civ-spouse, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +45, State-gov, 81853, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K +30, Private, 147921, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K +27, Private, 29261, HS-grad, 9, Married-AF-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 257758, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +44, State-gov, 136546, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +38, Private, 205493, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, >50K +19, Private, 71650, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 150217, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +55, Self-emp-inc, 258648, 10th, 6, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 114798, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +43, Private, 186188, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Local-gov, 175255, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K +45, Private, 249935, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, Private, 120277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K +26, Private, 193165, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K +32, Private, 185027, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, Ireland, >50K +21, Private, 221418, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 56063, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 153927, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, State-gov, 163110, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +40, Self-emp-inc, 175696, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 51, United-States, <=50K +46, Private, 143189, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K +20, ?, 114969, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, State-gov, 32778, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 150683, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 78104, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 335005, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3137, 0, 40, United-States, <=50K +50, Local-gov, 311551, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +42, Self-emp-not-inc, 201520, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 124111, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +60, Private, 166386, 11th, 7, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 30, Hong, <=50K +43, State-gov, 117471, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 361307, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 142038, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 45, United-States, <=50K +35, Private, 276552, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 50402, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 174090, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +27, Private, 277760, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 24243, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K +44, Self-emp-inc, 151089, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 70, United-States, >50K +52, Self-emp-not-inc, 165278, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 22, United-States, <=50K +49, Private, 182752, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +31, Private, 173002, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 261232, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 164607, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 129573, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +51, Federal-gov, 36186, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 325744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 329793, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +46, Private, 133616, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 83401, 5th-6th, 3, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +76, Private, 239880, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +25, Private, 201737, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 192182, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K +33, Private, 143540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 28334, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 245873, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +42, Local-gov, 199095, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 104461, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 8614, 0, 50, Italy, >50K +33, Local-gov, 183923, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K +30, Private, 129707, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K +41, Local-gov, 575442, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, State-gov, 184682, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 69251, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +31, Private, 225507, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 167515, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +35, Private, 407068, 1st-4th, 2, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +40, Private, 170019, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +46, Local-gov, 125892, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Local-gov, 35824, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +35, Private, 67083, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +23, Private, 107801, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +50, Self-emp-not-inc, 95577, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 12, ?, <=50K +43, Private, 118536, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +61, Private, 198078, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 78261, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 234108, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 241998, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1672, 50, United-States, <=50K +40, Private, 92717, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 257683, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +90, Private, 40388, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +24, Private, 55424, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 169600, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 2176, 0, 12, United-States, <=50K +40, Local-gov, 319271, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +37, Self-emp-not-inc, 75050, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +31, Private, 182896, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 188274, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 211497, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 113806, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, ?, >50K +47, Local-gov, 172246, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +48, Local-gov, 219962, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, ?, 186815, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, ?, 132749, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K +28, Private, 209801, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +20, State-gov, 178517, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 169364, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K +32, Federal-gov, 164707, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +55, Private, 144084, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 133692, Bachelors, 13, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 184169, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K +45, Self-emp-inc, 145290, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Local-gov, 24824, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 178319, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +22, Private, 235829, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, ?, 196280, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +42, Self-emp-not-inc, 54202, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 220237, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K +24, Private, 59146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +67, Private, 64148, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 41, United-States, <=50K +28, Private, 196621, HS-grad, 9, Married-spouse-absent, Tech-support, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +56, Private, 195668, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Cuba, >50K +31, State-gov, 263000, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K +33, Private, 554986, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, ?, 108211, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 217654, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Germany, >50K +53, Private, 139671, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +47, Private, 102771, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Portugal, <=50K +40, Private, 213019, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +35, Private, 228493, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 48, United-States, <=50K +65, Self-emp-not-inc, 22907, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 24364, Some-college, 10, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K +23, Federal-gov, 41432, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +39, Private, 235259, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 343476, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +37, Private, 326886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 248313, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 30290, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 188540, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 237943, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K +25, Private, 198870, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +30, Private, 233980, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 171090, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 48, United-States, <=50K +22, Private, 353039, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 36, Mexico, <=50K +46, Federal-gov, 213140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +54, Private, 188136, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 1408, 38, United-States, <=50K +33, Private, 130057, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +70, State-gov, 345339, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 182074, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +53, Local-gov, 176557, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +55, State-gov, 71630, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1617, 40, United-States, <=50K +17, Private, 159849, 11th, 7, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 183425, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 125933, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +40, Local-gov, 180123, HS-grad, 9, Married-spouse-absent, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 592930, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, >50K +28, Private, 183802, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +39, Private, 77005, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K +49, Private, 80914, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +63, Self-emp-inc, 165667, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 123991, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K +48, Self-emp-inc, 181307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +55, Private, 124137, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K +18, ?, 137363, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 4, United-States, <=50K +20, Private, 291979, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +49, Private, 91251, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +27, Federal-gov, 148153, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +37, Private, 131463, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K +32, State-gov, 127651, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-inc, 239018, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +47, Private, 276087, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 26, United-States, <=50K +34, Private, 386877, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +61, Private, 210464, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +25, Private, 632834, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 245465, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +18, Private, 198087, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +35, Private, 27408, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 242713, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +56, Private, 314727, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K +40, State-gov, 269733, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 177287, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K +66, Private, 167711, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +42, Private, 112181, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 339002, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K +39, State-gov, 24721, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +65, Self-emp-not-inc, 37092, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K +20, Private, 216563, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +52, Private, 204447, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K +24, ?, 151153, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 99999, 0, 50, South, >50K +39, Private, 187089, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 423052, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 169180, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Hong, <=50K +21, Private, 104981, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 48, United-States, <=50K +35, ?, 120074, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +38, Private, 269323, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 141549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 214858, 10th, 6, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 55, United-States, <=50K +34, Private, 173524, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +54, Local-gov, 365049, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +38, Private, 60355, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 86808, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +33, State-gov, 174171, Some-college, 10, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K +32, Federal-gov, 504951, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 294064, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, France, <=50K +46, Private, 120131, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, >50K +48, Private, 199058, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 152328, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Federal-gov, 88564, 7th-8th, 4, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 95113, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, >50K +36, Private, 247558, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 60, ?, >50K +25, Private, 178421, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +43, Private, 484861, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 38, United-States, <=50K +27, Local-gov, 225291, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 205735, 1st-4th, 2, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 58898, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 48, United-States, <=50K +39, Private, 355468, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 46, United-States, >50K +60, Self-emp-not-inc, 184362, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K +27, Private, 347513, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 138768, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 29810, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 126501, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 60783, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K +26, Private, 179772, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +45, Self-emp-inc, 281911, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +33, Private, 70447, HS-grad, 9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +55, ?, 449576, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, Mexico, <=50K +29, Private, 327964, 9th, 5, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +72, Private, 496538, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 6360, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 153066, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +53, State-gov, 77651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 119493, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 256240, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +69, Private, 177374, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 1848, 0, 12, United-States, <=50K +41, Local-gov, 37848, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +45, Private, 129336, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 183511, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 120131, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K +55, Private, 190508, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, United-States, <=50K +31, Private, 363130, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +45, Private, 240356, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +64, Private, 133166, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 5, United-States, <=50K +38, Private, 32916, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +17, Private, 117477, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 34748, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1887, 20, United-States, >50K +22, Private, 459463, 12th, 8, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K +23, Private, 95989, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +25, Private, 118088, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 150570, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 43, United-States, >50K +31, ?, 505438, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, Mexico, <=50K +37, Private, 179731, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +53, Private, 122109, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 1876, 38, United-States, <=50K +28, Local-gov, 163942, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 106670, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +41, Private, 123403, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-inc, 119986, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 66622, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +20, ?, 40060, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 56, United-States, <=50K +35, Private, 260578, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K +64, Local-gov, 96076, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 70604, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K +39, Self-emp-not-inc, 230329, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1564, 12, United-States, >50K +53, Private, 49715, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 116531, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Federal-gov, 214542, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +25, Local-gov, 335005, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, Italy, <=50K +19, Private, 258633, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +20, Private, 203240, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +27, Private, 104457, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +55, Local-gov, 99131, HS-grad, 9, Married-civ-spouse, Prof-specialty, Other-relative, White, Female, 0, 2246, 40, United-States, >50K +52, State-gov, 125796, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1848, 40, United-States, >50K +21, ?, 479482, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 167790, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 133758, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K +22, Private, 106843, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +24, Private, 117959, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 4386, 0, 40, United-States, >50K +26, Private, 174921, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 134152, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +57, Private, 99364, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +18, Local-gov, 155905, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K +30, Private, 467108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +34, Self-emp-not-inc, 304622, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +40, Private, 198692, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 60, United-States, >50K +60, Private, 178050, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +25, Private, 162687, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 113151, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +48, Private, 158924, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +27, Self-emp-not-inc, 141795, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K +33, Self-emp-not-inc, 33404, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, >50K +65, Self-emp-inc, 178771, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 168553, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 40, United-States, >50K +27, Private, 110648, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 151053, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 142871, Some-college, 10, Separated, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +18, ?, 343161, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K +27, Private, 183523, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +57, Self-emp-not-inc, 222216, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, <=50K +44, Private, 121874, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 55, United-States, >50K +30, Private, 467108, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K +26, Private, 34393, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Federal-gov, 42003, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +61, Private, 180418, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Self-emp-not-inc, 199590, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Mexico, <=50K +33, Private, 144949, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +50, Private, 155594, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +53, Self-emp-not-inc, 162576, 7th-8th, 4, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 99, United-States, <=50K +33, Private, 232475, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 269474, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K +45, Local-gov, 140644, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +26, ?, 39640, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +50, ?, 346014, 7th-8th, 4, Separated, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +47, Self-emp-not-inc, 159726, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Federal-gov, 290856, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 217886, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +21, ?, 199915, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +58, Private, 106546, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 2174, 0, 40, United-States, <=50K +50, Local-gov, 220640, Masters, 14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, >50K +33, Federal-gov, 88913, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 288486, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 227411, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +37, Local-gov, 99935, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 50, United-States, >50K +57, Private, 201112, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 123778, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +21, Private, 204596, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K +40, Private, 190290, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 196674, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 108435, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K +38, Private, 186359, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 137076, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +22, State-gov, 262819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 171655, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +42, Private, 183319, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +36, Private, 127306, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K +22, Private, 68678, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, State-gov, 140108, 9th, 5, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 263444, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, State-gov, 265554, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 410216, 11th, 7, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +46, State-gov, 20534, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +55, Private, 188917, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +76, Private, 98695, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +27, Private, 411950, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +50, Private, 237819, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +75, Private, 187424, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +42, Federal-gov, 198316, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Local-gov, 139703, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +51, Private, 152596, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 194726, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K +44, Private, 82601, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 229843, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +60, Private, 122276, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Italy, <=50K +47, State-gov, 188386, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +73, Private, 92298, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 15, United-States, <=50K +27, Private, 390657, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +50, Private, 89041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K +35, Private, 314897, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +31, Private, 166343, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 50, ?, <=50K +45, Private, 88781, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, >50K +57, Private, 41762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, >50K +34, Private, 849857, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K +19, Private, 307496, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +25, Private, 324372, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 99270, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, Germany, >50K +28, Private, 160731, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, >50K +48, State-gov, 148306, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 259019, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +53, Private, 224894, 5th-6th, 3, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 10, Haiti, <=50K +19, Private, 258470, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 197919, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K +23, Private, 213719, Assoc-acdm, 12, Never-married, Sales, Own-child, Black, Female, 0, 0, 36, United-States, <=50K +32, Private, 226535, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 146042, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +21, Private, 180339, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 1602, 30, United-States, <=50K +24, Private, 99970, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 300687, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Local-gov, 219906, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 25, United-States, >50K +24, Private, 122234, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, ?, <=50K +55, Private, 158641, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 239539, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +46, Local-gov, 102308, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 186934, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 234447, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 125933, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Private, 142760, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +41, State-gov, 309056, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Self-emp-not-inc, 48859, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K +30, Private, 110594, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +72, Private, 426562, 11th, 7, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +17, Private, 169037, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 123075, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K +38, Private, 195744, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +36, Private, 81896, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +24, Self-emp-not-inc, 172047, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 253814, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +28, Private, 66473, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, ?, 56248, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1485, 70, United-States, >50K +42, Local-gov, 271521, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Other, Male, 0, 0, 40, United-States, >50K +48, Private, 265295, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Self-emp-not-inc, 174308, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 196342, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +55, Private, 223594, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 40, Puerto-Rico, >50K +30, Private, 149787, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 124686, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +45, Private, 50163, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +26, Private, 175789, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 218215, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 166371, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 169469, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +52, Private, 145081, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +68, Private, 214521, Prof-school, 15, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 16, United-States, <=50K +26, Local-gov, 287233, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K +52, Private, 201310, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +46, Self-emp-not-inc, 197836, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 50, United-States, <=50K +53, Private, 158294, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +17, Private, 127366, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K +29, Private, 203697, Bachelors, 13, Married-civ-spouse, Prof-specialty, Own-child, White, Male, 0, 0, 75, United-States, <=50K +41, Private, 168730, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Private, 165232, Some-college, 10, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K +57, Private, 175942, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +30, Federal-gov, 356689, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, Japan, <=50K +46, Private, 132912, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +45, Private, 187226, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, ?, 254765, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 202565, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K +38, State-gov, 103925, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 2036, 0, 20, United-States, <=50K +22, Private, 112164, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, ?, <=50K +59, Self-emp-not-inc, 70623, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 85, United-States, <=50K +36, Private, 102729, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 558944, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 256967, 10th, 6, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +62, ?, 144583, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 102412, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 159788, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K +27, Private, 55743, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 45, United-States, >50K +47, State-gov, 148171, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 50, France, >50K +20, Local-gov, 271354, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 98524, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 272913, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, Mexico, <=50K +22, Private, 324445, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 155469, Assoc-acdm, 12, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +36, Private, 102945, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 291904, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +41, Federal-gov, 186601, HS-grad, 9, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 172401, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 193285, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +34, Private, 176244, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 117779, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 35, United-States, <=50K +22, ?, 34616, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +52, Private, 169182, 9th, 5, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, Puerto-Rico, <=50K +27, Private, 180758, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Local-gov, 141637, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 169023, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K +34, Self-emp-not-inc, 101266, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 62, United-States, <=50K +30, Private, 164190, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 142282, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +39, Federal-gov, 103984, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +64, Private, 187601, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Self-emp-not-inc, 36218, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +29, State-gov, 106334, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +37, Local-gov, 249392, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Self-emp-not-inc, 110355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Self-emp-not-inc, 117944, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K +17, Private, 163836, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K +29, Private, 145592, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +24, Private, 108495, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, India, <=50K +27, Self-emp-not-inc, 212041, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +69, Self-emp-inc, 182451, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 124020, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 199116, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +17, ?, 144114, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 107438, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 1651, 40, United-States, <=50K +70, Private, 405362, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +32, Private, 175856, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, United-States, >50K +21, ?, 262241, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 420054, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 9562, 0, 50, United-States, >50K +27, Private, 86681, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 187161, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +44, State-gov, 691903, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K +36, Private, 219483, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 199058, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +29, Private, 192010, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, Poland, <=50K +34, Federal-gov, 419691, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 54, United-States, >50K +28, Local-gov, 356089, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 684015, 5th-6th, 3, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K +18, Private, 36882, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +39, Private, 203180, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +34, Private, 183811, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 103966, Masters, 14, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 41, United-States, <=50K +24, Private, 304602, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 57233, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K +50, State-gov, 289207, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, >50K +68, Private, 224019, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 267966, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 214800, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 241528, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 197365, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 296724, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K +26, Private, 136226, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 40623, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 264874, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 112847, HS-grad, 9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +18, ?, 236090, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 89028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +71, State-gov, 210673, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 28, United-States, <=50K +55, Private, 60193, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 216137, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K +36, Private, 139743, Some-college, 10, Widowed, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, ?, 32276, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 423605, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1848, 40, Nicaragua, >50K +27, Private, 298871, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +42, Private, 318255, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 347867, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 1719, 40, United-States, <=50K +57, Private, 279636, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +34, Private, 405386, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 28, United-States, <=50K +31, Private, 297188, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +24, Private, 182342, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 229148, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 60, Jamaica, <=50K +30, Private, 189620, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 6849, 0, 40, England, <=50K +17, Private, 413557, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 32, United-States, <=50K +26, Self-emp-inc, 246025, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 20, Honduras, <=50K +32, Private, 390997, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 50, Mexico, <=50K +55, Private, 102058, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 247298, 12th, 8, Married-spouse-absent, Other-service, Own-child, Other, Female, 0, 0, 20, United-States, <=50K +28, Private, 140108, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +55, ?, 216941, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 2885, 0, 40, United-States, <=50K +49, Private, 81654, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 177526, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 64631, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 110028, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 203761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 163870, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +59, Federal-gov, 117299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K +20, Private, 50648, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 166517, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, ?, 173800, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, Taiwan, <=50K +44, Self-emp-inc, 181762, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, Self-emp-not-inc, 340880, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +50, Self-emp-not-inc, 114758, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 4416, 0, 45, United-States, <=50K +54, Private, 138847, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 215014, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 183778, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 273629, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Self-emp-inc, 113870, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 213955, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 2001, 40, United-States, <=50K +29, Private, 114982, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 205338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 57924, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 50, United-States, >50K +90, ?, 225063, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 10, South, <=50K +35, Self-emp-not-inc, 202027, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K +20, Private, 281356, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, United-States, <=50K +42, Private, 30824, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 2354, 0, 16, United-States, <=50K +56, Private, 98809, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 5013, 0, 45, United-States, <=50K +31, Private, 38223, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 172232, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 140544, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 221366, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 180799, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +36, Private, 111499, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K +44, Self-emp-not-inc, 155930, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 201122, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +27, Private, 101709, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +49, Private, 140121, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 172709, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 120131, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 117444, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +27, Private, 256764, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 176185, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4064, 0, 40, ?, <=50K +24, Private, 223811, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 201603, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +25, Private, 138765, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 133974, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Federal-gov, 137953, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +57, Private, 103403, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 461678, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +41, State-gov, 70884, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, State-gov, 466498, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K +19, Private, 148644, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 190739, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 32, United-States, <=50K +34, Private, 299507, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 211424, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, State-gov, 106721, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 192017, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 530099, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 55, United-States, >50K +34, Private, 119153, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 202450, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K +21, Private, 50341, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +24, Private, 140001, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Italy, <=50K +19, ?, 220517, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K +82, ?, 52921, Some-college, 10, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 3, United-States, <=50K +35, Private, 31964, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +32, Private, 148207, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 151627, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +30, Private, 402539, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 188278, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +28, Self-emp-not-inc, 96219, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 5, United-States, <=50K +29, Private, 340534, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +60, Private, 160339, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K +28, Private, 120135, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Federal-gov, 303817, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 181091, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 200515, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, >50K +42, Private, 160893, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 23, United-States, <=50K +40, Local-gov, 183096, 9th, 5, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Yugoslavia, >50K +24, Private, 241367, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-inc, 342084, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +36, Private, 193855, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 80410, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 554317, 9th, 5, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K +46, Private, 85109, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1628, 40, United-States, <=50K +28, Private, 108569, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, <=50K +34, Private, 120959, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 222011, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +43, Private, 238530, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 48404, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 88055, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3781, 0, 16, United-States, <=50K +33, Private, 238381, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 8614, 0, 40, United-States, >50K +22, Private, 243923, HS-grad, 9, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 80, United-States, <=50K +39, Private, 305597, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 141841, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 5178, 0, 40, United-States, >50K +39, Private, 129764, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 150993, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +63, Self-emp-not-inc, 147140, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +46, State-gov, 30219, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 38, United-States, >50K +48, Private, 167967, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 133278, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +65, Private, 172510, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 1848, 0, 20, Hungary, <=50K +39, Private, 192251, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, >50K +43, Private, 210844, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K +28, Private, 263015, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 155118, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 99999, 0, 35, United-States, >50K +24, State-gov, 232918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +48, Private, 143542, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 45607, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 29828, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 104118, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 191446, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K +50, Private, 27484, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Private, 205987, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K +39, Local-gov, 143385, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, ?, 200508, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 186995, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 54159, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K +39, Private, 113481, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +30, Local-gov, 235271, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 349365, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 65, United-States, <=50K +18, Private, 283637, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 70282, Assoc-acdm, 12, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +26, Private, 166051, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 193720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K +35, ?, 124836, Some-college, 10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 36, United-States, <=50K +33, Private, 236379, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 122026, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K +40, Private, 114537, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 191834, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +29, Private, 420054, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 160045, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +34, Private, 303187, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K +45, Private, 190088, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +53, Private, 126977, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +52, Self-emp-not-inc, 63004, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +64, Private, 391121, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 211450, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +44, Private, 156413, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 44, United-States, >50K +41, Private, 116797, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K +53, Local-gov, 204447, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K +25, Private, 66935, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +20, Private, 344278, 11th, 7, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 108574, Assoc-voc, 11, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 244605, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 363677, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 30, United-States, >50K +56, Private, 219762, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K +38, Self-emp-inc, 269318, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +62, Private, 77884, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +28, Self-emp-not-inc, 70100, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 213643, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 40, United-States, <=50K +24, Private, 69640, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 170012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 34, United-States, <=50K +40, Private, 329924, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +31, Private, 193285, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 261241, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1741, 60, United-States, <=50K +42, Federal-gov, 108183, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, South, >50K +20, Private, 296618, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +30, Local-gov, 257796, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 155320, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 151888, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +65, ?, 143118, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 2206, 10, United-States, <=50K +31, Private, 66278, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3908, 0, 40, United-States, <=50K +56, Private, 92444, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K +51, Private, 229272, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Male, 0, 0, 32, Haiti, <=50K +36, Self-emp-not-inc, 207202, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, State-gov, 154176, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 1590, 40, United-States, <=50K +49, Private, 180899, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 1755, 45, United-States, >50K +28, Private, 205337, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 180779, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +33, Self-emp-not-inc, 343021, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +49, Private, 176814, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K +74, State-gov, 88638, Doctorate, 16, Never-married, Prof-specialty, Other-relative, White, Female, 0, 3683, 20, United-States, >50K +48, Private, 248059, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 45, United-States, <=50K +38, Private, 409604, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +39, Private, 185053, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 332884, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 65, United-States, >50K +56, Private, 212864, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 66473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 285169, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 175431, 9th, 5, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +18, ?, 152641, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 339346, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +39, Private, 287306, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 70604, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3464, 0, 40, United-States, <=50K +21, Private, 88926, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K +36, Private, 91275, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +56, Private, 244554, 10th, 6, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Private, 232586, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-inc, 127678, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K +44, Private, 162184, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 408229, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, El-Salvador, <=50K +43, State-gov, 139734, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +62, Private, 197286, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, Germany, <=50K +52, Private, 229983, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 30, United-States, >50K +25, Private, 252803, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +63, Self-emp-inc, 110890, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +51, Private, 160724, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 99, South, <=50K +25, Private, 89625, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +62, ?, 266037, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 126730, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Federal-gov, 96854, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +32, Private, 186788, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 28996, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Self-emp-not-inc, 347166, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, State-gov, 110311, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 310850, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 220694, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +61, Private, 149405, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +70, Self-emp-inc, 131699, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +55, Private, 49996, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 187112, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +36, Private, 180859, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K +29, Private, 185647, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 316606, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 274657, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +39, Federal-gov, 193583, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 60, United-States, <=50K +18, Private, 338836, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +28, Private, 216814, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 106935, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 223433, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 174789, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 135603, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +25, ?, 344719, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K +38, Private, 372484, 11th, 7, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 181820, Some-college, 10, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 235371, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-inc, 216711, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, ?, >50K +20, Private, 299399, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 202508, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +44, Private, 172025, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +49, Self-emp-inc, 246891, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 450920, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +26, Private, 53598, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 103757, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 76017, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +28, Self-emp-inc, 80158, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Federal-gov, 90881, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 8614, 0, 55, United-States, >50K +44, Private, 427952, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 230955, 12th, 8, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +53, Private, 177916, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +36, Private, 342642, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +77, Private, 253642, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 30, United-States, <=50K +21, Private, 219086, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +24, Private, 162593, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +30, Private, 87561, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 142411, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +22, Private, 154422, Some-college, 10, Divorced, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, Philippines, <=50K +23, Private, 169104, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 25, United-States, <=50K +47, Private, 193047, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +17, Private, 151141, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +48, Private, 267912, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, Mexico, >50K +43, Private, 137126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 152453, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +19, Private, 357059, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +42, State-gov, 202011, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 98283, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 176965, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +63, Private, 187919, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +65, Private, 274916, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 105813, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +41, Local-gov, 193524, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 152734, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, ?, <=50K +21, Private, 263641, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +48, Local-gov, 102076, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +51, State-gov, 155594, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K +43, Private, 33331, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +22, State-gov, 156773, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, ?, <=50K +56, Self-emp-not-inc, 115439, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +47, Private, 181652, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 120268, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K +39, Private, 196308, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K +45, Self-emp-not-inc, 40690, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 75, United-States, <=50K +49, Private, 228583, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, Columbia, <=50K +23, Private, 695136, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +69, Private, 209236, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K +41, Federal-gov, 214838, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +40, Self-emp-not-inc, 188436, HS-grad, 9, Separated, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 177625, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 124591, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 230856, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 3325, 0, 50, United-States, <=50K +50, Federal-gov, 221532, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 232577, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 30, United-States, <=50K +48, Private, 168216, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 214702, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K +63, Private, 237620, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +47, State-gov, 54887, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Self-emp-not-inc, 164526, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K +28, Private, 224506, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, ?, <=50K +58, Private, 183870, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 208330, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, United-States, <=50K +67, Self-emp-inc, 168370, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 320376, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 48, United-States, <=50K +28, Private, 192384, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 167350, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 103538, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K +29, Private, 58522, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 191342, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +25, Private, 193820, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K +20, Private, 258490, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +21, Private, 56520, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 102476, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +44, Self-emp-inc, 311357, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 166497, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K +50, Private, 160724, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K +29, Private, 338270, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 282394, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 21, United-States, <=50K +32, Private, 383269, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 119386, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +50, Private, 196975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 334221, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K +58, Private, 27385, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +29, State-gov, 133846, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 361888, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +21, Private, 230429, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +49, Private, 328776, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 243829, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +39, Private, 306646, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 50, United-States, >50K +50, Private, 138179, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +30, Private, 280069, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +55, Private, 305759, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +64, Local-gov, 164876, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +29, Self-emp-inc, 138597, Assoc-acdm, 12, Never-married, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 111483, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +42, Private, 144778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 171015, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 112494, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +28, Private, 408473, 12th, 8, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +46, State-gov, 27802, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K +34, Private, 236318, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 121836, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 38, United-States, >50K +43, Self-emp-not-inc, 315971, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 698418, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +21, Private, 329530, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +65, Private, 194456, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, >50K +20, Private, 282579, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, State-gov, 26401, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +38, State-gov, 364958, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3464, 0, 40, United-States, <=50K +22, Private, 83998, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 94364, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 20, United-States, <=50K +44, Private, 174189, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, Local-gov, 101967, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 146908, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +38, Private, 126675, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2205, 40, United-States, <=50K +21, Private, 31606, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, Germany, <=50K +24, Private, 132327, Some-college, 10, Married-spouse-absent, Sales, Unmarried, Other, Female, 0, 0, 30, Ecuador, <=50K +24, Private, 112459, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +28, Private, 48894, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 181943, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +48, Private, 247685, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +24, Local-gov, 195808, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 172052, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 35, South, >50K +50, Local-gov, 50178, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 55, United-States, <=50K +68, Private, 351711, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, State-gov, 190305, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 464103, 1st-4th, 2, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +18, ?, 36348, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 48, United-States, <=50K +25, Private, 120238, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K +28, Private, 354095, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Local-gov, 308901, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +24, State-gov, 208826, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, England, <=50K +20, Private, 369677, 10th, 6, Separated, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +45, Federal-gov, 98524, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 239723, Some-college, 10, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 1506, 0, 45, United-States, <=50K +57, Private, 231232, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 236396, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K +24, ?, 119156, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 320451, Some-college, 10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Male, 0, 0, 24, India, <=50K +41, Private, 38397, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Self-emp-inc, 189183, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 199281, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 286342, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +50, Private, 152810, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Self-emp-inc, 176981, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K +17, Private, 117549, 10th, 6, Never-married, Sales, Other-relative, Black, Female, 0, 0, 12, United-States, <=50K +64, Private, 254797, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 133336, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Self-emp-not-inc, 182826, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +51, Private, 136224, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 134475, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1762, 40, United-States, <=50K +48, Private, 272778, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +44, Private, 279183, Some-college, 10, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 40, United-States, >50K +47, Private, 110243, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 202071, HS-grad, 9, Widowed, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 197642, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K +19, Private, 125591, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 197462, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 238831, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 182177, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K +40, Local-gov, 240504, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Self-emp-inc, 125892, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K +46, Private, 154430, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +32, Private, 207685, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 3908, 0, 40, United-States, <=50K +50, Private, 222020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 243240, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +26, Private, 158734, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 257691, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 144483, Assoc-voc, 11, Divorced, Sales, Own-child, White, Female, 594, 0, 35, United-States, <=50K +19, Private, 209826, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +53, Private, 30244, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +54, Private, 133050, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 41, United-States, <=50K +29, Private, 138332, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 6, United-States, <=50K +81, Private, 201398, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 60, ?, <=50K +37, Private, 526968, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, >50K +40, Private, 79036, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +36, Private, 240323, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 270544, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +44, State-gov, 199551, 11th, 7, Separated, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 231052, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +69, State-gov, 203072, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 126771, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 7, United-States, <=50K +38, Private, 31848, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 328981, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 159670, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 450695, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +57, Private, 182028, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 349620, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 161066, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K +46, Private, 213611, 7th-8th, 4, Married-spouse-absent, Priv-house-serv, Unmarried, White, Female, 0, 1594, 24, Guatemala, <=50K +21, Private, 548303, HS-grad, 9, Married-civ-spouse, Prof-specialty, Own-child, White, Male, 0, 0, 40, Mexico, >50K +29, Private, 150861, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Japan, <=50K +33, ?, 335625, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 133766, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +28, Private, 200511, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +26, Private, 50103, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +37, ?, 148266, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, Mexico, <=50K +49, Private, 177211, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 132686, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +57, Federal-gov, 21626, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 52900, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 150084, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +38, Private, 248886, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, <=50K +51, Self-emp-not-inc, 118259, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 60, United-States, <=50K +60, Private, 145493, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 219546, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 3411, 0, 47, United-States, <=50K +44, Federal-gov, 399155, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +19, Self-emp-not-inc, 227310, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +59, Private, 333270, Masters, 14, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K +50, Private, 231495, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Federal-gov, 133935, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Federal-gov, 55237, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 183034, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +32, Private, 245487, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K +32, Private, 185480, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 114251, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 181814, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 340917, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +37, Private, 241998, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K +38, Self-emp-inc, 125324, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K +36, Private, 34744, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +56, Private, 131608, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Federal-gov, 226916, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +56, Private, 124137, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K +17, Private, 96282, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, United-States, <=50K +46, Private, 337050, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K +56, Private, 229335, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, State-gov, 199495, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 111675, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, <=50K +27, Private, 139209, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 32372, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +33, Self-emp-not-inc, 203784, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 62, United-States, <=50K +33, Private, 164190, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +38, Private, 64875, Some-college, 10, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +51, Private, 41806, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 208725, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +49, Local-gov, 79019, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 16, United-States, <=50K +26, Private, 136951, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +42, Private, 203554, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +37, Private, 252947, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 1719, 32, United-States, <=50K +38, Private, 170861, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 199590, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, >50K +41, Private, 529216, Bachelors, 13, Divorced, Tech-support, Unmarried, Black, Male, 7430, 0, 45, ?, >50K +33, Private, 195576, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 60, United-States, <=50K +30, Private, 182177, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K +25, State-gov, 183678, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +50, Private, 209320, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Self-emp-inc, 206862, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, >50K +37, Private, 168941, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 201263, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 55, United-States, >50K +17, Private, 75333, 10th, 6, Never-married, Sales, Own-child, Black, Female, 0, 0, 24, United-States, <=50K +65, ?, 299494, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 1797, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 163212, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 99999, 0, 40, United-States, >50K +57, Private, 139290, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +33, Private, 400416, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +41, Self-emp-not-inc, 223763, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K +45, Private, 77927, Bachelors, 13, Widowed, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +50, Private, 175804, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +18, Private, 91525, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +19, Private, 279968, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 77698, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +61, ?, 198686, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K +67, ?, 190340, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 113491, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 202878, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 108431, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 194490, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +37, Private, 48093, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 90, United-States, >50K +22, Private, 136824, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 143280, 10th, 6, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 24, United-States, <=50K +26, Private, 150062, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Local-gov, 298510, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 177147, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 6849, 0, 65, United-States, <=50K +51, Private, 115025, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 350440, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +60, Private, 83850, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 62669, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +24, Private, 229773, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Local-gov, 196234, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K +69, ?, 163595, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +44, Private, 157249, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1977, 50, United-States, >50K +65, Private, 80174, HS-grad, 9, Divorced, Exec-managerial, Other-relative, White, Female, 1848, 0, 50, United-States, <=50K +52, Self-emp-inc, 49069, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +38, Private, 122952, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +18, Private, 123856, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 49, United-States, <=50K +24, Private, 216181, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 180062, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +21, Private, 188535, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +67, Self-emp-not-inc, 106143, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K +64, Self-emp-not-inc, 170421, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +25, Private, 283087, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +34, Federal-gov, 341051, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Self-emp-not-inc, 34378, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 380674, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 52, United-States, <=50K +19, Private, 304469, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K +35, Private, 99146, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 205109, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 99156, HS-grad, 9, Separated, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +45, Private, 97842, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, <=50K +18, Private, 100875, 11th, 7, Never-married, Other-service, Unmarried, White, Female, 0, 0, 28, United-States, <=50K +51, Private, 200576, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 63, United-States, <=50K +36, Private, 355053, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K +18, Private, 118376, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, ?, <=50K +37, Local-gov, 117760, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +37, Private, 117567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +39, Federal-gov, 189632, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +21, Private, 170108, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, State-gov, 27243, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K +33, Private, 192663, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +23, Private, 526164, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 146579, HS-grad, 9, Divorced, Sales, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 60288, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, State-gov, 241951, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 213140, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 218124, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +22, Self-emp-not-inc, 279802, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 3, United-States, <=50K +26, Private, 153078, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 80, ?, >50K +40, Private, 167919, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +90, Private, 250832, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 193158, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 172032, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 39484, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 7298, 0, 42, United-States, >50K +45, Private, 84298, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +43, Private, 269015, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Germany, >50K +17, ?, 262196, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 8, United-States, <=50K +49, Federal-gov, 125892, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 134890, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K +60, Self-emp-not-inc, 261119, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 119409, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Columbia, <=50K +53, Self-emp-not-inc, 118793, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +19, Private, 184207, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 191027, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 207782, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +48, Self-emp-not-inc, 209146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +76, ?, 79445, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 1173, 0, 40, United-States, <=50K +19, Private, 187724, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +28, Private, 66777, Assoc-voc, 11, Married-civ-spouse, Other-service, Other-relative, White, Female, 3137, 0, 40, United-States, <=50K +58, Private, 158002, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K +19, Self-emp-not-inc, 305834, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 25, United-States, <=50K +37, ?, 122265, HS-grad, 9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 42, ?, <=50K +22, Private, 211798, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 123011, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 36302, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Self-emp-not-inc, 176867, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3781, 0, 40, United-States, <=50K +62, Private, 169204, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 38232, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +64, State-gov, 277657, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +38, Private, 32271, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 116825, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 80, United-States, >50K +28, Self-emp-not-inc, 226198, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 28145, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 52, United-States, <=50K +39, Private, 140477, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +50, Private, 165050, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Self-emp-inc, 202937, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Private, 316298, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 203070, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 49, United-States, <=50K +51, Self-emp-inc, 103995, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +28, Private, 176137, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K +57, Self-emp-not-inc, 103948, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K +40, Local-gov, 39581, Prof-school, 15, Separated, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 506436, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, Peru, <=50K +32, Private, 226975, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 1876, 60, United-States, <=50K +49, State-gov, 154493, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +34, Self-emp-not-inc, 137223, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 102323, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 257765, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +52, Private, 42924, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +43, Private, 167599, 11th, 7, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 25, United-States, <=50K +84, ?, 368925, 5th-6th, 3, Widowed, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +79, ?, 100881, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 2, United-States, >50K +35, Private, 52738, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K +56, Private, 98418, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +30, Private, 381153, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 103700, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 298635, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K +32, Private, 127895, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 212760, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Private, 281384, HS-grad, 9, Married-AF-spouse, Other-service, Other-relative, White, Female, 0, 0, 10, United-States, <=50K +60, Private, 181200, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 257364, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +50, Private, 283281, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +58, Private, 214502, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Private, 69333, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 190060, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 95864, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +71, ?, 144872, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 6514, 0, 40, United-States, >50K +17, ?, 275778, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 25, Mexico, <=50K +45, Private, 27332, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 24395, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K +25, Private, 330695, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Self-emp-not-inc, 171615, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, >50K +28, Private, 116372, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +27, Private, 38599, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Local-gov, 202184, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K +24, Private, 315303, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +38, Private, 103456, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, State-gov, 163480, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 317425, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 7, United-States, <=50K +58, Private, 216941, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 116541, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 44, United-States, >50K +43, Private, 186396, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +45, Private, 273194, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 3137, 0, 35, United-States, <=50K +24, Private, 385540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K +63, Private, 201631, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 439919, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +21, Private, 182117, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +20, State-gov, 334113, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 184837, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 7298, 0, 40, United-States, >50K +49, ?, 228372, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K +47, Federal-gov, 211123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 38819, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K +61, Private, 162391, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1651, 40, United-States, <=50K +23, ?, 302836, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +35, State-gov, 89040, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 264210, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 20, United-States, <=50K +18, Private, 87157, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +28, Self-emp-not-inc, 398918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +62, ?, 123612, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K +20, Private, 155818, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +28, Private, 243660, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 134195, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 238638, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 159929, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 198668, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 215504, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 158002, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 55, Ecuador, <=50K +53, Local-gov, 35305, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 57, United-States, <=50K +25, Private, 195994, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K +44, State-gov, 321824, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K +22, Private, 180449, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 28, United-States, <=50K +40, Private, 201764, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 250038, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +30, Self-emp-not-inc, 226535, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +51, Private, 136121, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +17, Private, 47199, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 24, United-States, <=50K +46, Local-gov, 215895, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +50, State-gov, 24647, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 734193, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +42, ?, 321086, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Federal-gov, 192589, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 326283, Bachelors, 13, Never-married, Other-service, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K +32, Private, 207284, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 109089, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K +50, Private, 274528, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +77, Private, 142646, 7th-8th, 4, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 23, United-States, <=50K +33, Private, 180859, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-inc, 188610, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +64, Private, 169604, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 260560, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Local-gov, 188245, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +67, Local-gov, 103315, Masters, 14, Never-married, Exec-managerial, Other-relative, White, Female, 15831, 0, 72, United-States, >50K +37, Local-gov, 52465, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 737315, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +22, ?, 195143, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 29, United-States, <=50K +50, Self-emp-not-inc, 219420, Doctorate, 16, Divorced, Sales, Not-in-family, White, Male, 0, 0, 64, United-States, <=50K +60, Private, 198170, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +46, Local-gov, 183168, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +44, Private, 196545, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +43, Private, 168412, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 44, Poland, <=50K +48, Private, 174386, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, El-Salvador, >50K +36, Private, 544686, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 2907, 0, 40, Nicaragua, <=50K +48, Private, 95661, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +37, Private, 468713, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 169112, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 74024, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 110622, 5th-6th, 3, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, Vietnam, <=50K +43, Local-gov, 33331, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 181557, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +66, Private, 142624, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5556, 0, 40, Yugoslavia, >50K +37, Self-emp-not-inc, 192251, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 2635, 0, 40, United-States, <=50K +35, Private, 146091, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Local-gov, 174575, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K +49, Private, 200949, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 38, Peru, <=50K +51, Local-gov, 201560, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +71, Federal-gov, 149386, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 9, United-States, <=50K +50, Local-gov, 168672, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 40, United-States, >50K +63, Private, 38352, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, State-gov, 180272, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K +24, State-gov, 275421, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Local-gov, 173051, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +33, Local-gov, 167474, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 267138, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 135138, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +49, Private, 218357, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +28, Self-emp-not-inc, 107236, 12th, 8, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 138416, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 56, Mexico, <=50K +28, Private, 154863, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +37, Private, 194004, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K +19, Private, 339123, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 548361, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 26, United-States, <=50K +25, Private, 101812, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 41, United-States, <=50K +49, Self-emp-inc, 127111, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 171807, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +48, Local-gov, 40666, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 340682, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 175052, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, ?, 321629, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 16, United-States, <=50K +46, Private, 154405, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +17, Private, 108402, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +34, Private, 346275, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +44, Private, 42476, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 161708, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +35, Private, 70447, Some-college, 10, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male, 4650, 0, 20, United-States, <=50K +30, Private, 189759, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 4865, 0, 40, United-States, <=50K +65, ?, 137354, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K +34, Private, 250724, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Jamaica, <=50K +34, Federal-gov, 149368, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 154641, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 38309, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2407, 0, 40, United-States, <=50K +53, Local-gov, 202733, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 70, United-States, >50K +34, Private, 56150, 11th, 7, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 260254, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 108083, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +54, Self-emp-not-inc, 71344, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +32, Private, 174215, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, State-gov, 114366, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +39, Private, 158962, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 179498, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Germany, <=50K +29, Private, 31935, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 149909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K +20, ?, 58740, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K +39, Private, 216552, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 255348, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 176050, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +71, ?, 125101, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +62, ?, 197286, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 337469, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 594, 0, 20, Mexico, <=50K +31, Private, 159737, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 58, United-States, <=50K +39, Private, 316211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Private, 127610, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 32, United-States, >50K +45, Local-gov, 556652, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +19, Private, 265576, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 347653, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K +32, Private, 62374, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 170230, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +34, Private, 203051, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 27, United-States, <=50K +66, Self-emp-inc, 115880, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 167735, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K +46, Self-emp-inc, 181413, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 185554, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 350387, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +63, Private, 225102, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, ?, <=50K +55, Private, 105582, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3103, 0, 40, United-States, >50K +35, Self-emp-not-inc, 350247, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 150025, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, ?, >50K +37, Private, 107737, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +63, ?, 334741, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +43, Private, 115562, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K +30, Self-emp-not-inc, 131584, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K +36, Local-gov, 95855, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K +54, Private, 391016, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Federal-gov, 51089, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +78, Self-emp-inc, 188044, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 40, United-States, >50K +77, Private, 117898, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 70240, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +39, Self-emp-not-inc, 187693, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, >50K +37, Private, 341672, Bachelors, 13, Separated, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +34, Private, 208043, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K +22, Local-gov, 289982, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K +54, Private, 76344, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +21, Private, 200973, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +36, Private, 111377, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 136684, HS-grad, 9, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +40, Private, 176716, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Self-emp-not-inc, 166894, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 243872, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +28, Private, 155621, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K +46, Private, 102597, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 60331, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K +37, Private, 75024, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, Canada, <=50K +69, Private, 174474, 10th, 6, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 28, Peru, <=50K +43, Private, 145441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +53, Private, 83434, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 21, Japan, >50K +20, Private, 691830, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +22, Private, 189203, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 115784, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +40, Federal-gov, 280167, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +68, ?, 407338, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +39, Private, 52978, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 1721, 55, United-States, <=50K +57, Private, 169329, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 1887, 40, Trinadad&Tobago, >50K +23, Private, 315065, 10th, 6, Never-married, Other-service, Unmarried, White, Male, 0, 0, 60, Mexico, <=50K +25, Local-gov, 167835, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, >50K +22, Private, 63105, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 520775, 12th, 8, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K +41, Local-gov, 47902, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 145434, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +58, Private, 56392, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 162312, HS-grad, 9, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, Japan, <=50K +28, Private, 204074, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K +19, Private, 99246, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 102085, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +68, Private, 168794, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +33, State-gov, 332379, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 233419, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 57233, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 192337, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +31, Private, 442429, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +29, Private, 369114, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 261334, 9th, 5, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 160303, HS-grad, 9, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 50474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 321577, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 29591, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +33, Self-emp-not-inc, 334744, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Self-emp-not-inc, 269474, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 287306, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +66, Private, 33619, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 4, United-States, <=50K +38, Private, 149347, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +43, Private, 96249, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, >50K +40, Local-gov, 370502, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +32, Private, 188246, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 167558, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, Mexico, <=50K +35, Private, 292185, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 101593, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +33, Local-gov, 70164, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +36, Private, 269722, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +33, Self-emp-not-inc, 175502, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +53, Private, 233165, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +27, Private, 177351, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 212114, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 15, United-States, <=50K +26, Private, 288959, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 36, United-States, <=50K +64, Private, 231619, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 21, United-States, <=50K +48, Private, 146919, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +23, Private, 388811, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 243560, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, ?, <=50K +35, Self-emp-not-inc, 98360, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 369538, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Self-emp-not-inc, 31740, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +53, Private, 223660, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K +18, Private, 333611, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 54, Mexico, <=50K +34, Self-emp-not-inc, 108247, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +28, Private, 76129, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Guatemala, <=50K +37, Private, 91711, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +61, ?, 166855, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K +59, Private, 182062, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K +32, Private, 252752, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 13550, 0, 60, United-States, >50K +31, Private, 43953, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K +25, Local-gov, 84224, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +81, Private, 100675, 1st-4th, 2, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, Poland, <=50K +47, Private, 155509, HS-grad, 9, Separated, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +39, Private, 29814, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 241805, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 30, United-States, <=50K +44, Private, 214838, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +37, Private, 240810, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 154076, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +27, ?, 175552, 5th-6th, 3, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K +55, Private, 170287, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Poland, >50K +60, Private, 145995, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 433669, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 36, ?, <=50K +23, Private, 233626, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +19, Private, 607799, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +45, Private, 88500, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K +36, Private, 127809, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +46, Private, 243743, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 177211, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 231180, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 253856, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +39, Private, 177075, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 152855, HS-grad, 9, Never-married, Exec-managerial, Own-child, Other, Female, 0, 0, 40, Mexico, <=50K +37, Private, 191137, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 25, United-States, <=50K +49, Private, 255559, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +27, Private, 169815, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 221215, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +35, Private, 270059, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +54, ?, 31588, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2635, 0, 40, United-States, <=50K +17, Private, 345403, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 194897, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +33, Private, 388741, Some-college, 10, Never-married, Adm-clerical, Unmarried, Other, Female, 0, 0, 38, United-States, <=50K +33, Private, 355856, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K +51, Private, 122109, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K +49, Private, 75673, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 141058, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2339, 50, United-States, <=50K +41, Private, 47902, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K +64, Private, 221343, 1st-4th, 2, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +40, Private, 255675, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Federal-gov, 203505, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 125106, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 139890, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 76878, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +47, Self-emp-not-inc, 28035, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 86, United-States, <=50K +30, Private, 43953, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 1974, 40, United-States, <=50K +36, Private, 163237, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Local-gov, 55890, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 255934, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K +61, Private, 168654, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K +47, Self-emp-not-inc, 39986, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 208451, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 206681, 12th, 8, Never-married, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +33, Private, 117779, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 46, United-States, >50K +36, Self-emp-not-inc, 129150, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +38, ?, 177273, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 35, United-States, <=50K +34, Local-gov, 226443, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 146326, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 187901, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K +26, Private, 97153, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K +49, Private, 188694, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +71, Private, 187493, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 212468, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +20, Private, 84726, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 137907, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +51, Private, 34361, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, >50K +38, Private, 254114, Some-college, 10, Married-spouse-absent, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 170174, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Self-emp-not-inc, 190895, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +24, Local-gov, 317443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 375603, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 203076, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +49, Private, 53893, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 171748, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 24, United-States, <=50K +54, Private, 167770, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K +52, Private, 204584, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +27, Private, 660870, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +20, Private, 105686, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, ?, 70282, Masters, 14, Married-civ-spouse, ?, Wife, Black, Female, 15024, 0, 2, United-States, >50K +31, Private, 148607, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 255849, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Federal-gov, 255921, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, England, <=50K +33, Private, 113326, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 440456, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 105493, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 259757, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 653, 50, United-States, >50K +37, Local-gov, 89491, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 171818, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 51151, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 188957, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 97933, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 195447, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +63, ?, 46907, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K +54, Self-emp-inc, 383365, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +32, Self-emp-not-inc, 203408, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +29, Local-gov, 148182, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +26, Local-gov, 211497, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 48063, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +57, Private, 211804, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 50, United-States, >50K +54, Private, 185407, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 225927, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Federal-gov, 314525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 208577, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +42, Private, 222884, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +31, Private, 209538, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Local-gov, 177114, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +50, Private, 173754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 121370, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +37, Private, 67125, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +26, Private, 67240, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 198346, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 141003, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K +24, Self-emp-inc, 60668, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 104256, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K +47, Private, 131002, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Self-emp-not-inc, 155151, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 50, United-States, <=50K +26, Private, 177720, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +20, Private, 39615, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 203871, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 40, United-States, >50K +57, State-gov, 25045, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 2174, 0, 37, United-States, <=50K +36, Private, 112264, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 169100, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 155659, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Germany, >50K +39, Private, 291665, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4508, 0, 24, United-States, <=50K +29, Private, 224215, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 270502, 11th, 7, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K +46, Private, 125487, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 51385, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Private, 112763, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 108926, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 366957, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 99999, 0, 50, India, >50K +36, Local-gov, 109766, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +38, Private, 226106, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +75, Self-emp-not-inc, 92792, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +26, Private, 186950, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +44, Private, 230478, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 231638, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 120461, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 33673, 12th, 8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K +34, Private, 191385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +31, Self-emp-not-inc, 229946, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Columbia, <=50K +47, Self-emp-not-inc, 160131, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 190895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +18, Private, 126021, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 20, United-States, <=50K +47, Private, 27815, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 1719, 30, United-States, <=50K +42, Private, 203542, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 144592, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 223004, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K +22, Private, 183257, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +32, Private, 172714, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 131611, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 48, United-States, <=50K +41, Private, 253060, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 471990, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 46, United-States, >50K +44, Private, 138966, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K +35, Private, 385412, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, ?, 184101, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +60, Private, 103344, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K +36, Local-gov, 135786, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K +30, Private, 227359, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +40, State-gov, 86912, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +21, Private, 83033, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 2176, 0, 20, United-States, <=50K +25, Private, 172581, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, State-gov, 274111, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1669, 40, United-States, <=50K +42, Private, 187795, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K +26, Private, 483822, 7th-8th, 4, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Guatemala, <=50K +66, Self-emp-inc, 220543, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +48, Private, 152953, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, Dominican-Republic, <=50K +35, Private, 239755, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 177905, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +19, Private, 200136, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +55, Self-emp-not-inc, 111625, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 336513, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 60, United-States, >50K +45, Private, 162915, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 116662, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 24763, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +65, Private, 225580, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +30, Private, 169104, Assoc-acdm, 12, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +43, Private, 212894, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 93997, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, <=50K +22, Private, 189924, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 274424, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 188246, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 284211, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +21, Private, 198259, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +31, Private, 368517, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +34, Private, 168768, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +33, Federal-gov, 122220, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K +32, Private, 136204, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 2824, 55, United-States, >50K +44, Private, 175641, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +21, State-gov, 173324, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +75, Local-gov, 31195, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +55, Federal-gov, 88876, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, >50K +43, Self-emp-not-inc, 176069, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 16, United-States, <=50K +31, Private, 215297, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 198425, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +26, Local-gov, 180957, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 206129, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +42, Federal-gov, 65950, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 197618, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 185357, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 134890, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +64, ?, 193043, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Federal-gov, 153633, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +65, Private, 115890, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +34, Private, 394447, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 2463, 0, 50, France, <=50K +58, Private, 343957, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +63, ?, 247986, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K +50, Private, 238959, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, ?, >50K +59, Private, 159048, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 423222, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +30, Private, 89735, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 31778, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, ?, 157327, 5th-6th, 3, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 8, United-States, <=50K +47, Private, 233511, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K +30, Private, 327112, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K +34, Private, 236543, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, State-gov, 194475, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 303510, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 171242, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Self-emp-not-inc, 39388, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +62, Local-gov, 197218, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K +22, State-gov, 151991, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K +38, Private, 374524, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +34, ?, 267352, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +45, Local-gov, 364563, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 186035, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +21, Private, 47541, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 151107, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +24, Private, 500509, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +47, Private, 138107, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2258, 40, United-States, >50K +20, Federal-gov, 225515, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K +27, Private, 153291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +40, Private, 169885, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, ?, 112780, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +31, Local-gov, 175778, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 55213, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1977, 52, United-States, >50K +48, Private, 38950, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +64, Self-emp-not-inc, 65991, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 45, United-States, >50K +39, Private, 174330, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 35224, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 175622, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 164678, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K +50, ?, 87263, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, >50K +54, Private, 163671, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 65, United-States, >50K +17, Self-emp-not-inc, 181317, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K +33, Federal-gov, 177945, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 47168, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 190023, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 168782, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 175290, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 32, United-States, <=50K +74, Private, 145463, 1st-4th, 2, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K +54, Private, 159755, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 113364, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K +31, Private, 487742, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 304710, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K +54, Local-gov, 185846, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K +42, Private, 212894, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2407, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 315460, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, <=50K +49, Private, 135643, HS-grad, 9, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K +40, Private, 220977, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, India, >50K +19, ?, 117444, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +38, Private, 202683, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 164866, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, >50K +43, Private, 191814, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +32, ?, 227160, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 158077, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 191103, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, United-States, >50K +25, Private, 193701, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +40, Private, 143046, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +34, Private, 206297, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +35, Self-emp-not-inc, 188563, HS-grad, 9, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K +53, Private, 35102, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K +21, Private, 203055, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 309932, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 243432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 177107, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +64, Self-emp-not-inc, 113929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +19, ?, 291509, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 28, United-States, <=50K +40, Private, 222011, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K +34, Private, 186824, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 70, United-States, <=50K +46, Private, 192768, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 234962, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +32, Private, 83253, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +26, Private, 248990, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 346159, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 272656, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 55, United-States, >50K +22, Private, 60552, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, State-gov, 33798, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +38, Self-emp-not-inc, 112158, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, <=50K +55, Private, 200992, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +26, Private, 98155, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-inc, 79586, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Male, 0, 0, 60, United-States, <=50K +25, State-gov, 143062, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 101146, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K +18, ?, 284450, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +58, State-gov, 159021, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 353270, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 162312, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 45, South, <=50K +49, State-gov, 231961, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, >50K +38, Private, 181943, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +21, Private, 163595, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +28, Private, 130856, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 208875, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, El-Salvador, >50K +29, Self-emp-not-inc, 58744, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K +48, Private, 116641, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +40, Private, 69333, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 320811, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 197886, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +57, Self-emp-not-inc, 253914, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, Mexico, <=50K +24, Private, 89154, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K +32, Private, 372317, 9th, 5, Separated, Other-service, Unmarried, White, Female, 0, 0, 23, Mexico, <=50K +18, Self-emp-not-inc, 296090, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 48, ?, <=50K +39, Private, 192614, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, <=50K +39, Private, 403489, 11th, 7, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 169652, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K +20, Private, 217467, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, ?, 162104, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 175912, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 179533, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, >50K +27, Private, 149624, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 289147, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 347720, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 406978, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 193199, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 12, Poland, <=50K +37, Self-emp-inc, 163998, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Private, 173115, 10th, 6, Separated, Exec-managerial, Not-in-family, Black, Male, 4416, 0, 99, United-States, <=50K +33, Private, 333701, Assoc-voc, 11, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +21, State-gov, 48121, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 1602, 10, United-States, <=50K +45, Private, 186256, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 104525, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 104097, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 60, United-States, <=50K +71, Private, 212806, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K +23, Local-gov, 203353, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 45, United-States, <=50K +41, Private, 130126, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K +21, ?, 270043, 10th, 6, Never-married, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +47, Private, 218435, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 20, Cuba, <=50K +30, Private, 154120, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +40, Private, 193537, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Dominican-Republic, <=50K +44, Private, 84535, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +50, Private, 150999, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K +31, State-gov, 157673, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 217424, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 24, United-States, <=50K +45, Private, 358886, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2407, 0, 50, United-States, <=50K +38, Private, 186191, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +78, Self-emp-inc, 212660, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K +31, Self-emp-inc, 31740, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +39, Private, 498785, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 35945, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 45, United-States, >50K +46, Local-gov, 162566, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, Canada, <=50K +30, Private, 118861, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K +34, Private, 206609, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +30, Federal-gov, 423064, HS-grad, 9, Separated, Adm-clerical, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K +47, Private, 191957, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K +40, Private, 223934, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 17, United-States, >50K +62, ?, 129246, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 195486, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 70, Jamaica, <=50K +40, Private, 114580, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Female, 0, 0, 40, Vietnam, <=50K +20, Private, 119215, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 240554, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 199067, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 42, United-States, >50K +51, Private, 144084, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 358682, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Local-gov, 59612, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +49, State-gov, 391585, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +30, Local-gov, 101345, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 26, United-States, <=50K +20, Private, 117618, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 231238, 9th, 5, Separated, Farming-fishing, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 143046, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 326857, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 65, United-States, >50K +43, Private, 203642, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +62, Private, 88579, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +21, Private, 240517, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 70, United-States, <=50K +58, Local-gov, 156649, 1st-4th, 2, Widowed, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 143392, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 365465, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 70, Philippines, <=50K +22, State-gov, 264710, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +64, State-gov, 223830, 9th, 5, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +42, Private, 154374, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +43, State-gov, 242521, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 124569, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 209230, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K +21, Private, 162228, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Federal-gov, 60267, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 76901, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +24, Private, 137876, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +70, Self-emp-not-inc, 347910, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +27, Local-gov, 138917, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +34, Private, 532379, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 31532, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 30973, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 117295, 1st-4th, 2, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +32, Private, 295282, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +42, Private, 190786, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 246207, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +50, Private, 130780, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 186212, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +42, Private, 175526, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 207025, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 6849, 0, 38, United-States, <=50K +39, Federal-gov, 82622, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +51, Private, 199688, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, ?, >50K +38, State-gov, 318886, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 52, United-States, <=50K +18, Private, 256005, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +63, Self-emp-not-inc, 217715, 5th-6th, 3, Never-married, Sales, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K +50, Private, 205803, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +82, Self-emp-not-inc, 240491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, <=50K +33, Private, 154120, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 69251, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +24, Private, 333505, HS-grad, 9, Married-spouse-absent, Transport-moving, Own-child, White, Male, 0, 0, 40, Peru, <=50K +31, Private, 168521, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +59, Private, 193568, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 426895, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K +47, Self-emp-not-inc, 131826, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 79646, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 167031, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Other, Female, 0, 0, 33, United-States, <=50K +34, Private, 73199, 11th, 7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +50, Private, 114056, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 84, United-States, <=50K +57, Self-emp-not-inc, 110417, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K +60, Private, 33266, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 154410, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +56, ?, 154537, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 50, United-States, >50K +18, Private, 27780, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +26, Private, 142914, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 75, United-States, <=50K +37, Private, 190987, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 7298, 0, 40, United-States, >50K +20, Private, 314422, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +29, Local-gov, 273771, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 175083, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +21, Private, 63665, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +24, Local-gov, 193416, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 74275, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 122609, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 225456, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K +36, Local-gov, 116892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 196971, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 72, United-States, <=50K +20, Private, 105312, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +46, Private, 108699, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +44, Private, 171615, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 388023, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +39, Private, 181553, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +45, Private, 170850, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K +28, Private, 187479, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +44, Private, 277720, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K +48, Local-gov, 493862, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 7298, 0, 38, United-States, >50K +27, Private, 220754, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +34, Self-emp-not-inc, 209768, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 93225, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Federal-gov, 341709, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 236242, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +21, Private, 121889, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +18, Private, 318190, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +63, Self-emp-not-inc, 111306, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +18, Private, 198614, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 8, United-States, <=50K +32, Private, 193231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, ?, 104614, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 172368, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K +23, Private, 60331, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +38, Private, 154568, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +36, Private, 192939, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K +43, Private, 138184, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 1762, 35, United-States, <=50K +45, Private, 238567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K +30, Private, 208068, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +46, Private, 181810, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 4064, 0, 40, United-States, <=50K +24, Federal-gov, 283918, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +42, Private, 107276, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2444, 40, United-States, >50K +23, Private, 37783, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 263552, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 255439, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-inc, 344275, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +31, Private, 70568, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, El-Salvador, <=50K +18, Private, 127827, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +36, Private, 185203, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 123436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +51, Self-emp-not-inc, 136322, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1579, 40, United-States, <=50K +22, Private, 187052, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +72, Private, 177769, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K +61, Private, 68268, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +42, Private, 424855, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3908, 0, 40, United-States, <=50K +37, Federal-gov, 81853, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K +30, Self-emp-inc, 153549, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Private, 271393, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 198148, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 469602, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K +36, Private, 163290, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 295949, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 125279, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +64, Local-gov, 182866, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 111563, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, >50K +38, Private, 34173, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +27, Private, 183627, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +24, Private, 197757, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +39, Private, 98941, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +44, Private, 205474, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 206659, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +73, ?, 191394, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 244661, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +53, Private, 47396, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +43, State-gov, 270721, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +57, State-gov, 32694, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 171256, Assoc-acdm, 12, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 45, United-States, <=50K +59, Private, 169982, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2002, 50, United-States, <=50K +52, Self-emp-not-inc, 217210, HS-grad, 9, Widowed, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 218329, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 386643, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Federal-gov, 125933, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 155767, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Federal-gov, 432555, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1628, 40, United-States, <=50K +30, Private, 54929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +59, Private, 162136, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +22, Private, 256504, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 162098, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +39, Self-emp-not-inc, 103110, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 227610, 10th, 6, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 58, United-States, <=50K +63, Private, 176696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Private, 220019, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-inc, 242984, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 187847, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 132636, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +20, Private, 108887, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +42, Self-emp-not-inc, 195897, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 112181, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 12, United-States, >50K +56, Local-gov, 391926, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 195505, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 5, United-States, <=50K +31, Private, 43819, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 43, United-States, >50K +23, Private, 145389, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +33, ?, 186824, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 101833, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 82283, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +52, Private, 99602, HS-grad, 9, Separated, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 213276, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +59, Private, 424468, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +30, Private, 176123, 10th, 6, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +32, Private, 38797, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 101859, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +53, Private, 87158, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 205066, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K +26, Private, 56929, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, ?, <=50K +34, Private, 25322, Bachelors, 13, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 2339, 40, ?, <=50K +31, Private, 87950, Assoc-voc, 11, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +34, Private, 150154, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 142076, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 4787, 0, 39, United-States, >50K +30, State-gov, 112139, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 149217, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +27, Private, 189974, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 109199, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +24, Private, 190290, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +36, Private, 189404, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 35, United-States, >50K +33, Federal-gov, 428271, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +22, State-gov, 134192, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K +47, Private, 168211, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +34, Private, 277314, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Black, Male, 0, 1902, 50, United-States, >50K +44, Federal-gov, 316120, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, >50K +41, Private, 107276, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +45, ?, 112453, HS-grad, 9, Separated, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 4, United-States, <=50K +24, Private, 346909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, Mexico, <=50K +65, ?, 105017, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 317360, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 189017, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +54, Private, 138179, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 299813, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 37, Dominican-Republic, <=50K +45, Private, 265083, 5th-6th, 3, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 35, Mexico, <=50K +50, Private, 185846, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 184655, Assoc-acdm, 12, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +24, Private, 200295, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 117319, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K +50, Private, 63000, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +58, Self-emp-not-inc, 106942, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 52795, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K +37, Private, 51264, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, France, >50K +37, Self-emp-not-inc, 410919, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +22, Private, 105592, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +29, Self-emp-not-inc, 183151, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +45, Private, 209912, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +49, Self-emp-not-inc, 275845, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, Local-gov, 241851, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 4386, 0, 40, United-States, >50K +72, Private, 89299, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +63, Self-emp-not-inc, 106648, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 12, United-States, <=50K +26, Private, 58426, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +58, Self-emp-not-inc, 121912, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K +40, Private, 170730, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +56, Private, 257555, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 51499, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K +28, Private, 195000, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 45, United-States, <=50K +57, Private, 108741, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 184964, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +44, Private, 156815, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 49325, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 121718, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Germany, <=50K +18, Private, 172076, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +57, Self-emp-not-inc, 327901, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Local-gov, 215990, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K +38, Private, 210866, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K +33, Private, 322873, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +42, Private, 265698, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +70, ?, 26990, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K +50, Private, 177896, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 189107, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 306830, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K +72, Federal-gov, 39110, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, Canada, <=50K +33, Private, 155475, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 135803, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K +48, Private, 117849, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +64, Self-emp-not-inc, 339321, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, >50K +19, Private, 318822, 11th, 7, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +48, Private, 174794, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 204277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1848, 48, United-States, >50K +55, Private, 182460, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 35, United-States, >50K +24, Private, 193920, Masters, 14, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, ?, <=50K +42, Federal-gov, 91468, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 106760, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, Canada, >50K +34, Private, 375680, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-inc, 222615, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 190968, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 76767, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +50, Self-emp-not-inc, 203098, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +47, Local-gov, 162187, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K +25, Private, 242729, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +52, Private, 253784, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +30, Private, 206051, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 181553, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +73, Self-emp-inc, 80986, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K +50, Private, 200783, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 42596, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +24, Private, 464502, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +66, Private, 205724, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, >50K +22, Private, 446140, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K +69, Local-gov, 32287, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, <=50K +23, Private, 56774, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 308118, Bachelors, 13, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, ?, <=50K +35, Private, 176279, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +20, Private, 103277, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +70, Self-emp-inc, 225780, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K +54, Private, 154728, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, United-States, >50K +34, Private, 149943, HS-grad, 9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K +38, State-gov, 22245, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Private, 93056, 7th-8th, 4, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 270522, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K +60, Self-emp-inc, 123218, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +81, Self-emp-not-inc, 123959, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 1668, 3, Hungary, <=50K +32, Self-emp-not-inc, 103642, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +34, Private, 157747, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Self-emp-not-inc, 154083, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +30, State-gov, 23037, Some-college, 10, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 84, United-States, <=50K +23, ?, 226891, HS-grad, 9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K +29, Private, 50028, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 138251, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 369825, 7th-8th, 4, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +36, Federal-gov, 44364, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 36, United-States, <=50K +23, Private, 230704, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 22, United-States, <=50K +35, Private, 42044, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K +28, Local-gov, 56340, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, State-gov, 156015, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 163434, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 85251, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Self-emp-inc, 187411, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 155124, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K +25, Private, 396633, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 56, United-States, >50K +45, Private, 182313, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +38, Private, 52596, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +66, ?, 260111, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Local-gov, 143570, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 160634, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K +54, Private, 29909, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 43, United-States, <=50K +49, Private, 94215, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 151990, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, United-States, >50K +48, Federal-gov, 188081, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 218445, 5th-6th, 3, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 12, Mexico, <=50K +77, Private, 235775, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, Cuba, <=50K +19, Private, 98605, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +30, Private, 188398, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +41, Self-emp-inc, 140365, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K +35, Private, 202950, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, Iran, >50K +20, Private, 218215, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +66, Self-emp-inc, 197816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 40, United-States, >50K +49, Private, 147002, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K +52, Private, 138497, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Private, 57711, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K +50, Private, 169925, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K +22, Private, 72310, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +19, Private, 170800, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +39, Private, 215095, 11th, 7, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 30, Puerto-Rico, <=50K +45, Private, 480717, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 38, ?, <=50K +61, Local-gov, 34632, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +45, Private, 140664, Assoc-acdm, 12, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +36, Local-gov, 177858, Bachelors, 13, Married-civ-spouse, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 160369, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 45, United-States, >50K +38, Private, 129102, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +52, Local-gov, 278522, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Federal-gov, 124953, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K +33, Private, 63184, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 165815, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 248584, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +46, Local-gov, 226871, Bachelors, 13, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K +44, Private, 267717, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K +19, Private, 60367, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 13, United-States, <=50K +44, Private, 134120, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +40, Private, 95639, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +20, Private, 132053, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 2, United-States, <=50K +24, Private, 138768, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +76, Private, 203910, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 17, United-States, <=50K +20, Private, 109952, HS-grad, 9, Married-civ-spouse, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 155781, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +31, Private, 49398, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 159303, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 248339, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 190539, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 50, United-States, <=50K +30, Private, 183620, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +48, Private, 25468, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K +42, Private, 201495, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 52221, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-inc, 96460, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K +42, Private, 325353, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 42, United-States, >50K +28, Self-emp-not-inc, 176027, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +42, Local-gov, 266135, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K +60, State-gov, 194252, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 3103, 0, 40, United-States, >50K +76, ?, 164835, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +21, Private, 363192, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 31360, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 63503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 157614, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 38, United-States, <=50K +45, Private, 160647, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 4687, 0, 35, United-States, >50K +38, Private, 363395, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 338376, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Private, 87523, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 280714, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 119565, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Local-gov, 171482, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K +40, Self-emp-inc, 49249, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 331552, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +45, Private, 174426, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 184105, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 28, United-States, <=50K +29, Private, 37933, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 291529, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 13, United-States, >50K +23, Private, 376416, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 263612, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, Haiti, <=50K +23, Private, 227471, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K +39, Private, 191103, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 35644, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Self-emp-not-inc, 227298, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +25, State-gov, 187508, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 184378, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Puerto-Rico, <=50K +52, Self-emp-not-inc, 190333, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +48, Private, 155372, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +37, Private, 259882, Assoc-voc, 11, Never-married, Sales, Unmarried, Black, Female, 0, 0, 6, United-States, <=50K +36, Private, 217077, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 103596, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 188236, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +24, Private, 353010, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +42, Local-gov, 70655, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-inc, 64874, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Federal-gov, 219240, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 22, United-States, <=50K +50, Self-emp-inc, 104849, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +40, Private, 173590, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 412316, HS-grad, 9, Never-married, Sales, Other-relative, Black, Male, 0, 0, 40, ?, <=50K +57, Self-emp-inc, 195835, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 170579, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +61, Federal-gov, 230545, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K +71, Private, 162297, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +47, Private, 169549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 117528, Bachelors, 13, Never-married, Other-service, Other-relative, White, Female, 0, 0, 45, United-States, <=50K +25, Private, 273876, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +33, Private, 529104, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, State-gov, 456110, 11th, 7, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 52, United-States, <=50K +39, ?, 180868, 11th, 7, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 170301, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 2829, 0, 40, United-States, <=50K +33, Private, 55717, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 166181, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 36, United-States, <=50K +24, Private, 52242, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +28, Private, 224629, Masters, 14, Never-married, Exec-managerial, Not-in-family, Other, Male, 0, 0, 30, Cuba, <=50K +20, Private, 197997, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 46144, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, State-gov, 180871, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, <=50K +25, Private, 212311, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 232874, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 175999, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 177121, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 58, United-States, <=50K +57, Private, 299358, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 1719, 25, United-States, <=50K +20, ?, 326624, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 129836, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 10, United-States, <=50K +24, Private, 225515, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 145664, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +37, Private, 151764, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 183523, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 257869, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 0, 28, Columbia, <=50K +40, Private, 73025, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, China, <=50K +18, Private, 165532, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +51, Federal-gov, 140035, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 325159, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +64, Federal-gov, 161926, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 8, United-States, <=50K +24, Private, 163665, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K +33, Private, 106938, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 38, United-States, <=50K +31, Private, 97453, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Local-gov, 242464, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 3103, 0, 40, United-States, >50K +54, Private, 155233, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K +31, Private, 248653, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 37, Mexico, <=50K +39, Private, 59313, 12th, 8, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 45, ?, <=50K +22, Private, 141297, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 227325, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 123653, 5th-6th, 3, Separated, Other-service, Not-in-family, White, Male, 0, 0, 12, Italy, <=50K +59, Federal-gov, 176317, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +35, Self-emp-not-inc, 77146, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 45, United-States, <=50K +25, Private, 169124, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 179413, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 180137, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +17, State-gov, 179319, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 45766, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 152810, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K +59, Private, 214052, 5th-6th, 3, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 201141, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K +74, Self-emp-not-inc, 43599, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +28, Private, 292536, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 82161, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 180656, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +20, Private, 181370, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +80, Private, 148623, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +51, Private, 84399, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +17, Private, 143331, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +37, Federal-gov, 48779, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 175495, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 24, United-States, <=50K +58, Private, 83542, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 214619, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 160035, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Federal-gov, 39603, Some-college, 10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +36, Private, 181589, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, Columbia, <=50K +33, Private, 261511, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 29522, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 36340, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +41, Private, 320984, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K +57, ?, 403625, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, >50K +23, Private, 122346, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 105794, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K +53, Private, 152883, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +31, State-gov, 123037, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K +41, ?, 339682, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K +36, Private, 182074, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 248588, 12th, 8, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 187584, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Canada, <=50K +36, Private, 46706, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 190290, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Self-emp-not-inc, 247294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Peru, <=50K +22, Private, 117779, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 121602, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 451744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 107793, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 2174, 0, 40, United-States, <=50K +35, Private, 339772, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 185582, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 43, United-States, <=50K +26, Private, 260614, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Local-gov, 53220, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 213844, HS-grad, 9, Married-AF-spouse, Craft-repair, Wife, Black, Female, 0, 0, 42, United-States, >50K +33, Private, 213226, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 58582, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K +52, Private, 193116, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Local-gov, 201410, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 190525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K +57, Self-emp-not-inc, 138285, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Iran, <=50K +51, Private, 111939, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Private, 109277, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +32, Private, 331539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, China, >50K +32, Private, 396745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 48, United-States, >50K +37, Private, 126675, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +69, Self-emp-not-inc, 349022, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 33, United-States, <=50K +33, ?, 98145, Some-college, 10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K +37, Private, 234901, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, >50K +36, Private, 100681, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 2463, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 265097, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +63, Private, 237379, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 44793, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +17, Private, 270942, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K +56, Private, 193622, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +90, Local-gov, 187749, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K +27, Private, 160178, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +38, Private, 680390, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +33, Private, 96245, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 34803, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 170091, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +42, Private, 231813, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 23789, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, State-gov, 438711, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K +66, Private, 169804, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K +66, Local-gov, 376506, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 3273, 0, 40, United-States, <=50K +49, Private, 28791, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 162814, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K +38, Private, 58108, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Self-emp-inc, 102226, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Federal-gov, 209131, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +46, Self-emp-not-inc, 157117, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 172865, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 29798, 12th, 8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K +71, ?, 229424, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Local-gov, 80680, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 1151, 0, 35, United-States, <=50K +52, Local-gov, 238959, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 32, United-States, >50K +27, Private, 189462, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K +52, Private, 139347, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 188108, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 4101, 0, 40, United-States, <=50K +37, Self-emp-inc, 111128, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 81540, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 257562, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +31, Private, 59496, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 29974, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 102597, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +69, Private, 41419, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +50, Private, 118565, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +54, State-gov, 312897, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, England, >50K +17, Private, 166290, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +34, Private, 160261, HS-grad, 9, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male, 14084, 0, 35, China, >50K +32, Self-emp-not-inc, 116834, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 5, ?, <=50K +23, Private, 203076, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 201197, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +61, Private, 273803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 156797, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 283896, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 149368, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 1151, 0, 30, United-States, <=50K +49, Private, 156926, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +21, ?, 163911, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 3, United-States, <=50K +56, Self-emp-inc, 165881, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 86872, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 167523, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 154950, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Federal-gov, 171231, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K +62, Private, 244933, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +54, Private, 256908, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, United-States, >50K +34, Self-emp-not-inc, 33442, Assoc-voc, 11, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 126142, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K +28, ?, 268222, 11th, 7, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +32, Private, 167106, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K +22, Local-gov, 50065, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +34, State-gov, 252529, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +53, ?, 199665, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K +47, Private, 343579, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +19, Private, 190817, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 151089, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 55, United-States, >50K +46, Private, 186820, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 5013, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 210731, 7th-8th, 4, Divorced, Sales, Other-relative, White, Male, 0, 0, 20, Mexico, <=50K +42, Private, 123816, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 77071, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 2339, 35, United-States, <=50K +42, Private, 115085, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 170525, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K +17, Private, 209949, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 1602, 12, United-States, <=50K +57, Self-emp-not-inc, 34297, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 180985, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +62, Local-gov, 33365, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K +20, Private, 197752, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 16, United-States, <=50K +47, Private, 180551, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 77975, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 159297, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, ?, >50K +48, Private, 94342, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +39, Self-emp-inc, 34180, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +46, Local-gov, 367251, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +72, Self-emp-inc, 172407, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +53, Private, 303462, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K +47, Federal-gov, 220269, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 45093, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Canada, <=50K +34, Private, 101709, HS-grad, 9, Separated, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +41, Private, 219591, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 76625, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 342599, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +42, Self-emp-inc, 125846, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, ?, <=50K +54, Local-gov, 238257, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +39, Self-emp-inc, 206253, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 172571, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 95165, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +69, Private, 141181, 5th-6th, 3, Married-civ-spouse, Adm-clerical, Husband, White, Male, 1797, 0, 40, United-States, <=50K +24, Private, 267843, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +36, Private, 181382, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K +21, ?, 207782, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +68, ?, 103161, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +20, Private, 132320, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Self-emp-not-inc, 201138, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +48, Private, 239058, 12th, 8, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +39, Self-emp-inc, 239755, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K +21, Private, 176262, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 18, United-States, <=50K +22, Private, 264738, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 42, Germany, <=50K +34, Private, 182218, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 318982, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +46, Private, 216666, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +47, Private, 274200, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +65, Private, 150095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 192978, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 68021, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +34, Self-emp-not-inc, 28568, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +20, Private, 115057, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 139568, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-inc, 138497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +40, State-gov, 182460, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 38, China, >50K +22, Private, 253310, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 7, United-States, <=50K +29, Self-emp-inc, 130856, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Self-emp-not-inc, 389765, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +42, Federal-gov, 52781, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +38, Private, 146178, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +22, Private, 231053, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, >50K +21, ?, 145964, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 483450, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, <=50K +43, Self-emp-inc, 198316, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 160614, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Self-emp-inc, 325171, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +54, Self-emp-not-inc, 172898, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 50, United-States, >50K +45, Private, 186473, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Local-gov, 286967, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +51, Self-emp-not-inc, 111939, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, >50K +65, Federal-gov, 325089, 10th, 6, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 143582, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 45, United-States, <=50K +40, Private, 308027, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +58, Private, 105060, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K +53, Federal-gov, 39643, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 58, United-States, <=50K +39, Private, 186191, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 50, United-States, >50K +56, Local-gov, 267763, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 124293, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 36271, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 143459, 9th, 5, Separated, Handlers-cleaners, Own-child, White, Male, 0, 0, 38, United-States, <=50K +36, Private, 186376, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K +59, Self-emp-inc, 52822, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 104509, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 184456, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K +26, Private, 192302, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K +22, Private, 156822, 10th, 6, Never-married, Sales, Not-in-family, White, Female, 0, 1762, 25, United-States, <=50K +25, Private, 214413, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 108574, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 15, United-States, <=50K +41, Private, 223934, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +45, Private, 200559, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +43, Private, 137722, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 261677, 9th, 5, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 136331, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 329993, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 91819, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +31, Private, 201122, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K +48, Private, 315423, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 103277, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +47, Private, 236805, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +27, Private, 74883, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +18, Private, 115443, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +43, Private, 150528, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 43701, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +37, Federal-gov, 419053, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 183594, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 390348, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 36989, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 3908, 0, 70, United-States, <=50K +48, Private, 247895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +75, Private, 191446, 1st-4th, 2, Married-civ-spouse, Other-service, Other-relative, Black, Female, 0, 0, 16, United-States, <=50K +43, Self-emp-not-inc, 33521, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +64, Private, 46087, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +67, ?, 129188, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 20051, 0, 5, United-States, >50K +36, Private, 356824, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 158746, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 153323, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K +73, Self-emp-not-inc, 130391, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +46, Private, 173613, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 362883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +43, Private, 182757, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 50397, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +43, Federal-gov, 101709, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +21, Private, 202570, 12th, 8, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 48, ?, <=50K +40, Private, 145649, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +36, Private, 136343, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +64, Self-emp-inc, 142166, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +19, ?, 242001, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 127089, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 38, United-States, >50K +46, Local-gov, 124071, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 65, United-States, >50K +41, Local-gov, 190368, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +29, ?, 19793, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 8, United-States, <=50K +28, Private, 67661, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 62278, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Federal-gov, 295010, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 60, United-States, >50K +44, Private, 203897, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K +27, Private, 265314, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 159603, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 34, United-States, <=50K +29, Private, 134331, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 123011, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, >50K +27, Private, 274964, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +34, Private, 66309, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +38, Private, 73471, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, ?, 26671, HS-grad, 9, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +56, Private, 357118, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +35, Self-emp-inc, 184655, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 62, United-States, <=50K +23, ?, 55492, Assoc-voc, 11, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 30, United-States, <=50K +23, Private, 175266, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 188008, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +42, Private, 87284, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 35, United-States, >50K +46, Private, 330087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K +48, Self-emp-inc, 56975, HS-grad, 9, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 84, ?, <=50K +27, Private, 150025, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K +22, ?, 189203, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Male, 0, 0, 15, United-States, <=50K +49, Self-emp-inc, 330874, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +23, Private, 136824, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 201179, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 324654, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +25, Federal-gov, 366207, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 103860, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 106700, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 27, United-States, <=50K +54, Local-gov, 163557, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +39, Self-emp-inc, 286261, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 123083, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +75, Self-emp-inc, 125197, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 26, United-States, <=50K +28, Self-emp-not-inc, 278073, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K +50, Private, 133963, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +62, Self-emp-not-inc, 71467, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +40, Private, 76487, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Local-gov, 215245, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +24, Federal-gov, 127185, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 179720, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +40, Private, 88909, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +45, Private, 341995, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 42, United-States, >50K +48, Private, 173938, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 344275, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +23, Private, 150463, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, Other, Female, 0, 0, 40, Guatemala, <=50K +43, Local-gov, 209544, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K +42, Local-gov, 201723, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 343476, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, Japan, >50K +52, Self-emp-inc, 77392, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +21, ?, 171156, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +56, Self-emp-not-inc, 357118, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +48, Federal-gov, 167749, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +37, Self-emp-not-inc, 352882, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 70, South, >50K +25, Private, 51201, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +40, Private, 365986, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, >50K +34, Private, 400416, 11th, 7, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 45, United-States, <=50K +52, Private, 31533, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 106900, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 42, United-States, >50K +36, Local-gov, 192337, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 118712, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 1504, 40, United-States, <=50K +28, Private, 301654, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 145162, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, ?, >50K +20, Private, 88126, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 9, England, <=50K +68, Private, 165017, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Italy, >50K +35, Private, 238342, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 857532, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +64, Private, 134378, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 260797, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 23, United-States, <=50K +25, Private, 138765, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +74, ?, 256674, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +31, Private, 247444, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Columbia, <=50K +51, State-gov, 454063, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +67, Private, 180539, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 10, United-States, <=50K +42, Private, 397346, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +29, Private, 107160, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 262024, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 131230, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K +67, Private, 274451, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K +41, State-gov, 365986, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +27, Private, 204515, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +51, Private, 99316, 12th, 8, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +21, ?, 206681, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 268726, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K +21, Private, 275395, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 383322, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 126822, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K +39, Self-emp-inc, 168355, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +21, Private, 162667, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K +43, Private, 373403, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 274562, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K +28, Private, 249362, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 111567, 9th, 5, Never-married, Sales, Not-in-family, White, Male, 0, 0, 43, United-States, >50K +18, ?, 216508, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 145784, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K +34, State-gov, 209317, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 259505, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 345360, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, England, <=50K +43, Local-gov, 198096, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +40, Self-emp-inc, 33126, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 206354, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +25, Private, 1484705, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +21, Private, 26410, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Self-emp-not-inc, 220901, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K +49, Self-emp-inc, 44671, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 38620, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +36, Private, 89040, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 47, United-States, <=50K +32, Private, 370160, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 208946, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 32, United-States, <=50K +21, Private, 131230, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K +25, Private, 60358, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 350853, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +24, Private, 209782, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 351952, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 142081, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Mexico, <=50K +22, Private, 164775, 9th, 5, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Guatemala, <=50K +41, Local-gov, 47858, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 404085, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 218678, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 184655, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 48, United-States, <=50K +36, Private, 321760, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K +45, Local-gov, 185399, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 55, United-States, <=50K +38, Local-gov, 409200, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 40077, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Self-emp-not-inc, 31740, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Local-gov, 233722, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 192039, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +17, Private, 222618, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 30, United-States, <=50K +45, State-gov, 213646, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +31, Local-gov, 194141, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K +47, State-gov, 80282, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 166350, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +61, Federal-gov, 60641, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K +33, Private, 124827, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 105438, HS-grad, 9, Separated, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 85244, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 120535, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Local-gov, 269604, 5th-6th, 3, Never-married, Other-service, Unmarried, Other, Female, 0, 0, 40, El-Salvador, <=50K +27, Private, 247711, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 380922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +24, Private, 281221, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, <=50K +23, Private, 269687, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 181758, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +61, Federal-gov, 136787, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 107882, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +34, Private, 172579, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 29933, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K +35, Federal-gov, 38905, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +36, Private, 168826, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 424034, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 117509, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, ?, 196971, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +64, Private, 69525, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +22, Private, 374116, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +27, Private, 283913, 5th-6th, 3, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 65, England, <=50K +36, State-gov, 147258, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 139903, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +52, Private, 112959, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 264148, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 256211, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 24, Vietnam, <=50K +29, Self-emp-not-inc, 142519, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 281852, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 80, United-States, <=50K +38, Private, 380543, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +50, Self-emp-not-inc, 204402, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, >50K +50, Private, 192203, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 199005, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +17, Self-emp-inc, 61838, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 210095, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +19, Private, 187352, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 32451, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 140569, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 14084, 0, 60, United-States, >50K +39, Private, 87556, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K +18, Private, 79443, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +27, Private, 212622, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 32650, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +44, Private, 125461, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 219867, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +32, Local-gov, 206609, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 101299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 29437, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +65, Private, 87164, 11th, 7, Widowed, Sales, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +57, Self-emp-inc, 146103, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +48, Private, 169324, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, Haiti, <=50K +46, Private, 138370, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 1651, 40, China, <=50K +27, Private, 29523, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Local-gov, 383745, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1485, 40, United-States, >50K +21, ?, 247075, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +20, ?, 200967, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K +51, ?, 175985, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-inc, 189404, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 40, United-States, <=50K +29, Self-emp-not-inc, 267661, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +30, Local-gov, 182926, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 40, United-States, >50K +65, Private, 243858, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +20, ?, 43587, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +47, Federal-gov, 31339, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 204682, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 2174, 0, 40, Japan, <=50K +17, Private, 73145, 9th, 5, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 16, United-States, <=50K +38, Local-gov, 218184, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +38, Local-gov, 223237, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Self-emp-not-inc, 93319, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 4, United-States, <=50K +24, ?, 212300, HS-grad, 9, Separated, ?, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +52, Private, 187356, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 41, United-States, <=50K +46, Self-emp-not-inc, 220832, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 58, United-States, >50K +22, Private, 211361, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +56, Private, 134195, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +37, Self-emp-not-inc, 218249, 11th, 7, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +59, Private, 70720, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +19, Self-emp-not-inc, 342384, 11th, 7, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 2129, 55, United-States, <=50K +31, Private, 237317, 9th, 5, Never-married, Craft-repair, Not-in-family, Other, Male, 0, 0, 45, United-States, <=50K +22, Private, 359759, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K +48, Self-emp-not-inc, 181758, Doctorate, 16, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, >50K +63, Self-emp-inc, 267101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 222221, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K +53, Private, 55139, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +38, Private, 220237, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K +39, Private, 101073, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K +59, Private, 69884, Prof-school, 15, Married-spouse-absent, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 201127, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 164733, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +60, State-gov, 129447, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +38, Private, 32837, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 56, United-States, <=50K +31, Private, 200117, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 219183, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +66, ?, 188842, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K +26, Private, 272669, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, South, <=50K +60, Self-emp-inc, 336188, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 80, United-States, >50K +68, ?, 191288, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +32, Private, 176185, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Male, 0, 0, 60, United-States, <=50K +25, Local-gov, 197728, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +43, Local-gov, 144778, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K +26, ?, 133373, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 44, United-States, <=50K +55, Private, 197399, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K +66, Private, 86010, 10th, 6, Widowed, Transport-moving, Not-in-family, White, Female, 0, 0, 11, United-States, <=50K +31, Private, 228873, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 187415, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, <=50K +58, Self-emp-inc, 112945, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K +56, Private, 98361, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +22, Private, 129172, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +46, Local-gov, 316205, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +33, Private, 226629, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K +26, State-gov, 180886, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +42, Self-emp-not-inc, 69333, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 213620, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 197397, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Other, Female, 0, 0, 6, Puerto-Rico, <=50K +19, Private, 223648, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, ?, <=50K +27, Private, 179915, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 99, United-States, <=50K +51, Private, 339905, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +42, Private, 112956, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 421837, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, Mexico, >50K +38, Private, 187999, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +44, Private, 77313, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 231948, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 64, United-States, >50K +37, Private, 37109, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 60, Philippines, <=50K +29, Private, 79387, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +53, ?, 133963, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 177937, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, Poland, <=50K +80, Private, 173488, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +61, Private, 183355, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 147989, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 52, United-States, <=50K +20, Private, 289944, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +23, Private, 62278, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +48, Federal-gov, 110457, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 295763, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, <=50K +71, State-gov, 100063, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +49, Private, 194962, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 6, United-States, <=50K +39, Federal-gov, 227597, HS-grad, 9, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 117606, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +67, Federal-gov, 44774, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 177648, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +38, Private, 172571, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 54, United-States, >50K +38, ?, 203482, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K +50, Private, 153931, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 84774, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 157127, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 170786, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 281030, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 203761, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 10520, 0, 40, United-States, >50K +27, Private, 167405, HS-grad, 9, Married-spouse-absent, Farming-fishing, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +40, Local-gov, 188436, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 40, United-States, >50K +43, Private, 388849, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, State-gov, 176998, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K +57, Private, 200316, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 160300, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +22, Private, 236684, Assoc-voc, 11, Never-married, Other-service, Own-child, Black, Female, 0, 0, 36, United-States, <=50K +20, Local-gov, 247794, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +27, Private, 267325, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 3464, 0, 40, United-States, <=50K +39, Private, 279490, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +27, State-gov, 280618, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 248406, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 226494, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 220460, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K +25, Private, 108317, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, State-gov, 147256, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K +22, Private, 110371, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K +62, Private, 114060, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 91, United-States, <=50K +29, Federal-gov, 31161, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K +44, Private, 105862, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 70, United-States, >50K +32, Private, 402089, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 2, United-States, <=50K +19, ?, 425447, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 137300, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +65, State-gov, 326691, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K +24, Private, 275093, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +37, Self-emp-not-inc, 112497, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +43, Local-gov, 174491, HS-grad, 9, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 114835, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, United-States, >50K +28, Private, 137898, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 153151, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 4416, 0, 40, United-States, <=50K +32, Private, 134886, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +38, Private, 193815, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Private, 237833, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 101593, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +27, Private, 164924, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 174201, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +47, Local-gov, 36169, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +55, Private, 144071, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Self-emp-not-inc, 180859, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 8, United-States, <=50K +54, Private, 221915, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +40, Private, 26892, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 351084, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 97306, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +30, Private, 185027, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 182539, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +22, Private, 215395, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +37, Private, 186434, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, >50K +41, ?, 217921, 9th, 5, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K +52, Local-gov, 346668, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-inc, 412952, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 167009, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +58, Private, 316000, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Self-emp-not-inc, 216256, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 341835, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +30, Private, 169841, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +26, Self-emp-not-inc, 200681, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K +46, Self-emp-not-inc, 456956, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +26, Federal-gov, 276075, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +50, Federal-gov, 96657, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +22, Private, 374313, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Private, 110998, Masters, 14, Widowed, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K +30, Private, 53285, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K +58, Private, 104613, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +17, ?, 303317, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +72, Private, 298070, Assoc-voc, 11, Separated, Other-service, Unmarried, White, Female, 6723, 0, 25, United-States, <=50K +19, Private, 318822, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 375078, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Mexico, <=50K +20, ?, 232799, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +30, Private, 210851, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 213745, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +51, Private, 204447, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Private, 318934, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 237386, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +44, Private, 182629, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 24, Iran, <=50K +43, Private, 144778, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +35, Private, 117166, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 237630, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 50, United-States, >50K +41, Private, 171550, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 165302, Some-college, 10, Divorced, Adm-clerical, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K +39, State-gov, 42186, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 3464, 0, 20, United-States, <=50K +54, Private, 284952, 10th, 6, Separated, Sales, Unmarried, White, Female, 0, 0, 43, Italy, <=50K +62, Private, 96099, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 198759, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 227886, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 35, Jamaica, <=50K +32, Private, 391874, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Self-emp-not-inc, 184370, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +84, Local-gov, 135839, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K +46, Private, 194698, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K +67, Local-gov, 342175, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 2009, 0, 40, United-States, <=50K +29, Private, 67218, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 205152, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +23, Private, 434467, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, <=50K +63, ?, 110150, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, >50K +55, ?, 123382, HS-grad, 9, Separated, ?, Not-in-family, Black, Female, 0, 2001, 40, United-States, <=50K +42, State-gov, 404573, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 99462, 11th, 7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K +60, Private, 170310, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 199883, 12th, 8, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 70034, 7th-8th, 4, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, Portugal, <=50K +31, Private, 393357, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 48, United-States, <=50K +65, ?, 249043, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 10605, 0, 40, United-States, >50K +31, Private, 72630, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K +61, Private, 223133, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +43, State-gov, 345969, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +40, State-gov, 195520, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 49, United-States, <=50K +39, Private, 257942, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 269300, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 27, United-States, <=50K +47, Private, 137354, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +45, Federal-gov, 232997, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K +30, Private, 77266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +30, Self-emp-not-inc, 164190, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 153536, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 44, United-States, >50K +51, Local-gov, 26832, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 188096, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 72, United-States, >50K +48, Self-emp-inc, 369522, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, >50K +20, Private, 110998, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K +32, Private, 205152, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K +31, ?, 163890, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 358631, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +50, Private, 185354, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 336061, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, ?, 47011, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +49, Private, 149949, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K +30, Private, 59496, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 32950, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 109912, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 32, United-States, >50K +24, Private, 199555, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Male, 0, 0, 5, United-States, <=50K +28, Private, 91299, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, United-States, <=50K +56, Private, 99359, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1617, 40, United-States, <=50K +38, Private, 242559, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +20, Private, 286391, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 2176, 0, 20, United-States, <=50K +82, Private, 132870, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 4356, 18, United-States, <=50K +52, Federal-gov, 22428, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Private, 239150, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +37, Private, 170563, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +36, Private, 173542, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 286026, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 72887, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male, 3411, 0, 40, United-States, <=50K +49, Local-gov, 163229, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K +40, Local-gov, 165726, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 70055, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 184655, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 139906, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 81, United-States, <=50K +32, Local-gov, 198211, Assoc-voc, 11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 146540, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +53, Local-gov, 132304, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 190916, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Never-worked, 237272, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 755858, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K +52, Private, 127315, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +42, State-gov, 304302, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +34, Private, 184942, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 267989, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 188377, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 221059, Masters, 14, Married-civ-spouse, Prof-specialty, Other-relative, Other, Female, 7688, 0, 38, United-States, >50K +26, Private, 340787, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 140782, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 38, United-States, >50K +57, Private, 169071, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 28, United-States, <=50K +36, Self-emp-not-inc, 151094, Assoc-voc, 11, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +27, Private, 122922, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 151141, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +30, Private, 136651, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +37, Private, 177285, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 48, United-States, >50K +31, Local-gov, 128016, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 200318, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 250354, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +58, Private, 191069, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 27856, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 8, United-States, <=50K +44, Private, 523484, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +39, Federal-gov, 257175, Bachelors, 13, Divorced, Tech-support, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K +59, Private, 174864, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 45, United-States, >50K +42, Private, 196029, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K +45, Private, 200471, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K +20, Private, 353195, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +35, Private, 222868, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 221791, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, <=50K +56, Private, 197114, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K +48, Private, 160220, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Self-emp-not-inc, 274917, Masters, 14, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +32, Private, 348460, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 112683, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K +48, Private, 345831, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 105370, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +48, Private, 345006, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K +55, Private, 195329, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 2202, 0, 35, Italy, <=50K +40, Local-gov, 108765, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +50, Private, 138022, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 175029, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +19, Private, 189574, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +55, Self-emp-not-inc, 141409, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +36, Self-emp-not-inc, 186035, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K +39, Private, 165235, Bachelors, 13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K +22, Private, 105043, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 230684, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +34, Private, 345705, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1408, 38, United-States, <=50K +33, Private, 248584, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 436861, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K +35, Private, 200153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +50, Private, 398625, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 114043, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 169544, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 343849, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 162572, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K +24, Private, 291578, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 136162, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, Self-emp-inc, 376133, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 15024, 0, 15, United-States, >50K +48, Self-emp-inc, 302612, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +65, Local-gov, 240166, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 193152, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K +42, Private, 248094, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 43, United-States, <=50K +44, Private, 119281, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +73, Self-emp-not-inc, 300404, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 6, United-States, >50K +21, Private, 82847, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +32, Self-emp-inc, 161153, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 55, United-States, >50K +43, Federal-gov, 287008, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, United-States, >50K +21, Private, 654141, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K +30, Private, 252646, Some-college, 10, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +54, Private, 171924, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, <=50K +19, Private, 219742, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +55, State-gov, 153788, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K +20, Private, 60639, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K +53, Private, 96062, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Greece, <=50K +51, Private, 165614, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +33, Private, 159888, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 110586, Some-college, 10, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Self-emp-not-inc, 143062, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +17, Self-emp-inc, 413557, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 137658, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +36, Private, 398931, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 311764, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, <=50K +58, Private, 98725, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Private, 140854, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +72, Private, 97304, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 2346, 0, 40, ?, <=50K +26, Federal-gov, 352768, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, ?, 27184, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +72, ?, 237229, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +60, Private, 142494, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +27, Private, 210313, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Guatemala, <=50K +38, Private, 194538, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K +37, Self-emp-inc, 26698, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1485, 44, United-States, >50K +28, Private, 211032, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-inc, 107909, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 136077, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +19, Private, 184737, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 1721, 40, United-States, <=50K +28, Private, 214689, Bachelors, 13, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +70, ?, 147558, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K +40, Self-emp-not-inc, 93793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 247025, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 284403, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, <=50K +29, Private, 221977, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +25, Federal-gov, 339956, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 161097, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K +60, Private, 223696, 1st-4th, 2, Divorced, Craft-repair, Not-in-family, Other, Male, 0, 0, 38, Dominican-Republic, <=50K +31, Private, 234500, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 97005, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 242615, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +36, Private, 174938, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +35, Private, 160120, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +48, Private, 193775, Bachelors, 13, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, >50K +78, Self-emp-not-inc, 59583, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K +72, Private, 157913, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 17, United-States, <=50K +24, Private, 308205, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, ?, 158506, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K +36, Private, 201769, 11th, 7, Never-married, Protective-serv, Not-in-family, Black, Male, 13550, 0, 40, United-States, >50K +48, Private, 330470, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 184078, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 123384, Masters, 14, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 330132, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +47, Private, 274720, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K +50, Private, 129673, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +35, Federal-gov, 205584, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +17, Private, 327127, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 225892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +37, Private, 224886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, United-States, <=50K +35, Local-gov, 27763, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +56, Private, 73684, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K +23, Private, 107452, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 23871, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +79, Self-emp-inc, 309272, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 469864, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +55, Private, 286230, 11th, 7, Divorced, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +59, State-gov, 186308, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 113062, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 86150, 11th, 7, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 19, Philippines, <=50K +41, Private, 262038, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K +32, Private, 279231, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, <=50K +67, ?, 188903, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 2414, 0, 40, United-States, <=50K +45, Private, 183786, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +61, Private, 339358, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Other-relative, White, Female, 0, 0, 45, Mexico, <=50K +34, Private, 287737, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 99203, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 297449, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 50, United-States, >50K +35, Private, 113481, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +65, Private, 204042, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 43387, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, England, >50K +37, Private, 99233, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 313729, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +42, Private, 99679, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +18, Private, 169745, 7th-8th, 4, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 19914, Some-college, 10, Widowed, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 15, United-States, <=50K +31, Private, 113543, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 224241, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +40, Self-emp-inc, 137367, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, China, <=50K +32, Private, 263908, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 280798, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Local-gov, 203849, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 62546, Doctorate, 16, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +40, Private, 197344, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +36, Private, 93225, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +33, Private, 187560, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K +23, State-gov, 61743, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 186648, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 173321, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 32, United-States, <=50K +53, State-gov, 246820, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +20, ?, 424034, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K +53, Self-emp-not-inc, 291755, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, <=50K +58, Private, 104945, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 60, United-States, <=50K +51, Private, 85423, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +31, Private, 214235, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 65, United-States, <=50K +35, Self-emp-not-inc, 278632, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 27415, 11th, 7, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 143392, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +21, Private, 277408, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +39, Self-emp-not-inc, 336793, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +36, Private, 184112, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 45, United-States, >50K +51, Private, 74660, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 395026, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +32, Private, 171215, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +56, Private, 121362, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +35, Private, 409200, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 268965, 12th, 8, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 136262, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 141323, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 108083, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +19, Private, 82210, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +33, State-gov, 400943, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +35, Private, 308489, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 50, United-States, <=50K +35, Private, 187053, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 60, United-States, >50K +38, Private, 75826, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 413345, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +22, Private, 356567, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +20, Private, 223811, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 159313, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 250170, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K +59, Private, 135617, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 187346, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 108103, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 255476, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +24, Private, 68577, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 155961, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 35, Jamaica, <=50K +22, State-gov, 264102, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 39, Haiti, <=50K +37, Private, 167777, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, <=50K +36, Private, 225399, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +28, Private, 199998, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +55, Private, 199856, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K +29, ?, 189765, 5th-6th, 3, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 193042, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +66, ?, 222810, Some-college, 10, Divorced, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +47, Local-gov, 162595, Some-college, 10, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 208826, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Local-gov, 120190, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +40, Self-emp-not-inc, 27242, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K +51, Private, 348099, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K +34, Private, 185041, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 45, United-States, <=50K +28, Private, 309196, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, State-gov, 254285, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 70, Germany, >50K +39, Self-emp-inc, 336226, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 60, United-States, >50K +43, Private, 240698, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 411797, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, >50K +25, Private, 178843, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K +42, Private, 136177, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +35, Private, 243409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Germany, <=50K +43, Private, 258049, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 53, United-States, >50K +34, Private, 164748, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, State-gov, 24185, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K +30, Private, 167476, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, Private, 106900, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K +52, Private, 53497, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 335704, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 211022, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +30, Private, 163003, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 52, Taiwan, <=50K +36, Self-emp-inc, 77146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K +39, Private, 67433, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 458549, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 96, Mexico, <=50K +26, Private, 190469, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 195411, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +20, Private, 216889, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +70, ?, 336007, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 167350, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 241857, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +48, Private, 125892, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Private, 272209, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 99, United-States, <=50K +48, Private, 175221, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 180195, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 38090, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +58, Private, 310085, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Federal-gov, 118686, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +29, ?, 112963, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-inc, 120131, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, ?, <=50K +19, Private, 43937, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 210438, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 176724, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +31, Self-emp-not-inc, 113364, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +64, Self-emp-not-inc, 73986, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +28, Local-gov, 197932, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K +32, Private, 193285, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Local-gov, 223342, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +35, Private, 49749, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +19, ?, 211553, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +45, Private, 201865, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Private, 322143, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 70, United-States, >50K +55, Private, 158702, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 2339, 45, ?, <=50K +46, Self-emp-not-inc, 275625, Bachelors, 13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 60, South, >50K +19, Private, 206599, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K +29, Private, 89813, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Scotland, <=50K +25, State-gov, 156848, HS-grad, 9, Married-civ-spouse, Protective-serv, Own-child, White, Male, 0, 0, 35, United-States, <=50K +37, Private, 162494, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 205407, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 375313, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +36, Federal-gov, 930948, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 6497, 0, 56, United-States, <=50K +32, Private, 127895, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +34, Private, 248754, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 188096, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +20, Private, 216811, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Self-emp-inc, 113870, Masters, 14, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Federal-gov, 343052, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 280966, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 42044, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +32, Private, 309513, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 163604, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +52, Private, 224198, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +50, Private, 338283, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 242375, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +25, Private, 81286, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +21, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K +31, Private, 217803, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +31, Self-emp-not-inc, 323020, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K +41, Private, 34278, Assoc-voc, 11, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 184579, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, <=50K +20, ?, 210781, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K +20, Private, 142673, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +29, Private, 131714, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K +51, Local-gov, 74784, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Local-gov, 181372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 33, United-States, >50K +23, ?, 62507, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +48, Private, 155664, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K +39, Private, 174924, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K +62, Private, 113440, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +22, Private, 147227, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +46, Federal-gov, 207022, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +51, Local-gov, 123011, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 35, United-States, >50K +20, Private, 184678, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +40, Self-emp-inc, 182437, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +31, Private, 98639, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 174201, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 123780, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K +20, Private, 374116, HS-grad, 9, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +37, Local-gov, 212005, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Private, 123965, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 242619, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +60, Local-gov, 138502, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 48, United-States, >50K +27, Private, 113635, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Ireland, <=50K +62, Private, 664366, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +53, Private, 218311, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +38, Private, 278557, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Private, 314773, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 194861, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 400616, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 208117, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 184498, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 117674, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +19, Private, 162621, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 14, United-States, <=50K +23, Private, 368739, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +63, Self-emp-not-inc, 196994, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K +63, Self-emp-not-inc, 420629, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K +62, Self-emp-inc, 245491, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 99999, 0, 40, United-States, >50K +51, Self-emp-not-inc, 276456, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 30, United-States, >50K +76, Local-gov, 169133, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +50, Private, 99307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 45, United-States, <=50K +45, Self-emp-inc, 120131, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Self-emp-inc, 456236, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 45, United-States, >50K +51, Private, 107123, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 125461, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 4650, 0, 35, United-States, <=50K +43, Local-gov, 36924, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 167065, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 53642, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 154668, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Federal-gov, 102238, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 54595, 10th, 6, Widowed, Other-service, Not-in-family, Black, Female, 0, 1980, 40, United-States, <=50K +27, Private, 152951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 257042, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 74243, Assoc-voc, 11, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 149049, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 14344, 0, 45, United-States, >50K +33, Private, 117186, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 178322, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +31, State-gov, 286911, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K +54, Private, 203635, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 60, United-States, >50K +57, Self-emp-not-inc, 177271, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +30, Private, 149427, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K +45, Private, 101656, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +41, Private, 274363, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 42, United-States, >50K +25, Private, 241025, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K +51, Self-emp-inc, 338836, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 210534, 5th-6th, 3, Separated, Adm-clerical, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K +28, Private, 95725, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +47, ?, 178013, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, Cuba, <=50K +53, Federal-gov, 167410, Bachelors, 13, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +31, Private, 158162, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 13550, 0, 50, United-States, >50K +46, Private, 241935, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 7688, 0, 40, United-States, >50K +25, Federal-gov, 406955, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 341762, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 239303, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, <=50K +30, Private, 38848, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 54744, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 332194, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 154950, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +33, Self-emp-not-inc, 196342, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +31, Private, 201292, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 339767, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, England, >50K +26, Private, 250066, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 318886, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 124076, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +30, State-gov, 242122, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +17, Private, 34019, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +35, Local-gov, 230754, Masters, 14, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 213842, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Federal-gov, 196386, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4064, 0, 40, El-Salvador, <=50K +32, Self-emp-not-inc, 62165, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K +34, Private, 134737, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, >50K +32, Private, 515629, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Federal-gov, 119199, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 90222, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 28443, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 159442, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K +54, Private, 315804, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 135840, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +38, Private, 81232, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K +43, Private, 118001, 7th-8th, 4, Separated, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 207875, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +39, Private, 164898, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Local-gov, 170066, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, >50K +47, Private, 111994, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 34, United-States, <=50K +45, Private, 166636, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +24, State-gov, 61737, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 241885, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 234190, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +57, Private, 230899, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 114158, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 24, United-States, >50K +28, Private, 222442, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, Cuba, <=50K +27, Private, 157612, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +28, Private, 199903, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +74, ?, 292627, 1st-4th, 2, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 156687, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 42, Japan, <=50K +27, Private, 369522, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K +61, Private, 226297, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 356017, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K +28, Private, 189257, 9th, 5, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 24, United-States, <=50K +20, Private, 157541, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 69251, Assoc-voc, 11, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +38, State-gov, 272944, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 113667, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +40, Private, 222011, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +43, Private, 191196, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +38, Private, 169104, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +19, Private, 146679, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +56, Private, 226985, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 153066, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +30, ?, 159303, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K +22, Private, 200109, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 4508, 0, 40, United-States, <=50K +18, State-gov, 109445, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +68, Private, 99491, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +35, Private, 172571, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +42, Private, 143582, 7th-8th, 4, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 48, ?, <=50K +32, Private, 207113, 10th, 6, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +43, Federal-gov, 192712, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +30, Private, 154297, 10th, 6, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +62, Private, 238913, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 2829, 0, 24, United-States, <=50K +38, Private, 110402, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 207213, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 606111, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, Germany, >50K +26, Private, 34112, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 119156, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K +19, Private, 249787, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 153516, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +25, State-gov, 260754, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 155621, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, Columbia, <=50K +36, Private, 33983, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, >50K +23, Private, 306601, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K +24, Private, 270075, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 109430, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 187115, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +25, Self-emp-not-inc, 463667, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K +24, Private, 52262, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 144064, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 62, United-States, <=50K +26, Private, 147821, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 45, ?, <=50K +62, ?, 232719, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 268620, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 33, United-States, <=50K +45, Private, 81132, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +31, Private, 323069, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 880, 45, United-States, <=50K +34, Private, 242984, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +65, Self-emp-inc, 172684, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, Mexico, >50K +42, Private, 103932, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, State-gov, 431637, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +40, Private, 188942, Some-college, 10, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, Puerto-Rico, <=50K +53, Federal-gov, 170354, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 28518, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +30, State-gov, 193380, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +59, Private, 175942, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +42, Self-emp-not-inc, 53956, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +23, Private, 120773, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 96219, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K +20, Private, 104164, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 190429, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +73, ?, 243030, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +47, Self-emp-not-inc, 228660, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 40, United-States, >50K +44, Private, 368757, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 220563, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 233571, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 37, United-States, >50K +39, Private, 187847, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 84298, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +44, Self-emp-not-inc, 254303, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 109611, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 37, Portugal, <=50K +50, Private, 189183, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 206951, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 282882, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +55, Private, 377061, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 209906, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, Puerto-Rico, <=50K +53, Local-gov, 176059, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +31, Private, 279015, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 70, Taiwan, >50K +21, Private, 347292, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 277314, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +74, ?, 29887, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +53, Private, 341439, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, >50K +47, Private, 209460, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 47, United-States, <=50K +60, Private, 114263, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Hungary, >50K +59, Private, 230899, 9th, 5, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +37, Private, 271767, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +47, Federal-gov, 20956, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +49, Private, 39986, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +73, Local-gov, 45784, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 11, United-States, <=50K +58, Private, 126991, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +18, ?, 234648, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 15, United-States, <=50K +35, Private, 207676, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +24, State-gov, 413345, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, <=50K +62, Private, 122033, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +58, Private, 169611, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 90363, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 40, United-States, >50K +21, Private, 372636, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 340917, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 34273, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 36, Canada, <=50K +25, Private, 161027, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 5178, 0, 40, United-States, >50K +31, Private, 99844, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K +31, Private, 207685, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 34, United-States, <=50K +44, Private, 74680, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 50, United-States, >50K +52, Self-emp-inc, 334273, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K +30, Private, 36069, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 100563, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 174308, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 109413, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +59, Local-gov, 212600, Some-college, 10, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +55, Private, 271710, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +70, ?, 230816, Assoc-voc, 11, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +22, Private, 103277, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +42, Private, 318947, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 187167, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 204742, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 282062, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, ?, 283510, HS-grad, 9, Never-married, ?, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K +25, Private, 280093, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +31, Private, 202729, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 205950, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 392286, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Self-emp-not-inc, 119207, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +49, Private, 195554, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K +30, Private, 173005, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, <=50K +54, Private, 192862, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +39, Private, 164712, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 195808, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 199444, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 44, United-States, <=50K +23, Private, 126346, 9th, 5, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +54, Private, 177675, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +23, Private, 50341, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +39, Private, 237943, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 1726, 40, United-States, <=50K +23, Private, 126945, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +67, ?, 92061, HS-grad, 9, Widowed, ?, Other-relative, White, Female, 0, 0, 8, United-States, <=50K +19, ?, 109938, 11th, 7, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K +41, Private, 267252, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1902, 40, United-States, >50K +32, Private, 174704, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +57, Private, 124771, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 200603, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +60, State-gov, 165827, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K +21, Private, 301199, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 215790, Some-college, 10, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 22, United-States, <=50K +38, Private, 87556, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K +21, Private, 111467, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 82646, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K +24, Private, 162282, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Federal-gov, 239074, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 214925, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K +23, Private, 194247, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 211531, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Local-gov, 223267, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K +25, Private, 201635, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +41, Self-emp-not-inc, 188738, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 27, United-States, <=50K +18, Private, 133055, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +57, Private, 61761, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 45, United-States, <=50K +62, Private, 103344, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K +29, Private, 109814, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 225294, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 97277, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K +52, Private, 146711, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 286452, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 20308, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 224203, Some-college, 10, Widowed, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 225978, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 237720, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +31, Private, 156743, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 76, United-States, >50K +31, Private, 509364, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K +46, Private, 144351, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 375515, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +57, Self-emp-not-inc, 103529, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K +25, Private, 199472, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +32, Private, 348152, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 221166, 9th, 5, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Federal-gov, 341762, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K +17, ?, 634226, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 17, United-States, <=50K +43, State-gov, 159449, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 110238, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +19, Private, 458558, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K +20, Federal-gov, 340217, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 155106, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +90, Private, 90523, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 99, United-States, <=50K +25, Private, 122756, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +27, Private, 293828, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K +48, Private, 299291, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K +48, Federal-gov, 483261, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 122038, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +46, Private, 160647, Bachelors, 13, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +32, Private, 106541, 5th-6th, 3, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 126945, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 188505, Bachelors, 13, Married-AF-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +31, Private, 377850, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K +20, Private, 193586, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K +28, Self-emp-not-inc, 315417, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 2176, 0, 40, United-States, <=50K +40, Self-emp-inc, 57233, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +39, Private, 195253, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Local-gov, 172991, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Local-gov, 223215, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K +17, Private, 95799, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K +25, Self-emp-not-inc, 213385, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 80, United-States, <=50K +49, Local-gov, 202467, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 145574, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 34095, 0, 60, United-States, <=50K +39, Private, 147548, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 105216, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +28, Private, 77760, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 167990, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Canada, <=50K +44, Private, 167005, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K +51, Private, 108435, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 47, United-States, >50K +55, Private, 56645, Bachelors, 13, Widowed, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +45, Local-gov, 304973, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 78, United-States, >50K +32, Private, 42596, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +45, Private, 220641, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 101452, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, England, >50K +35, Private, 188888, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +55, Local-gov, 168790, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K +59, Private, 98361, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 401762, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +46, Local-gov, 160187, Masters, 14, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +23, Private, 203715, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 144351, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +34, Private, 420749, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Germany, <=50K +51, Private, 106151, 11th, 7, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 362482, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, State-gov, 38151, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K +20, Private, 42706, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K +44, Private, 126199, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 1831, 0, 50, United-States, <=50K +26, Private, 165510, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 216068, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +23, Private, 215624, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +40, Private, 239708, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +49, Local-gov, 199378, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 230420, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +28, Private, 395022, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 338620, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +62, Private, 210142, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 446358, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +47, Local-gov, 352614, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 293528, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K +44, State-gov, 55395, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 128538, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +46, Private, 428405, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 126838, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 136836, Assoc-acdm, 12, Divorced, Transport-moving, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +48, Private, 105838, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 139903, Bachelors, 13, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-inc, 106103, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K +33, Private, 186824, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 350387, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +17, Private, 142912, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +63, ?, 321403, 9th, 5, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-inc, 114937, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +34, ?, 286689, Masters, 14, Never-married, ?, Not-in-family, White, Male, 4650, 0, 30, United-States, <=50K +35, Private, 147258, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K +20, Private, 451996, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 149833, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 211968, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +33, Private, 287908, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, >50K +36, Private, 166549, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 25216, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 286452, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 3418, 0, 40, United-States, <=50K +47, Private, 162034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +30, Private, 186932, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 75, United-States, >50K +34, Private, 82938, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 122048, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 118710, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 243226, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +67, Self-emp-not-inc, 268514, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 365289, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 165365, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 2885, 0, 40, Laos, <=50K +20, Private, 219266, HS-grad, 9, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 0, 0, 36, ?, <=50K +24, Private, 283757, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 39, United-States, <=50K +44, Federal-gov, 206553, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 113364, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 328949, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 83930, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +31, Self-emp-not-inc, 325355, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K +20, Private, 131852, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +64, Private, 119506, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +47, State-gov, 100818, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Private, 162302, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +48, Private, 182211, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K +19, Self-emp-not-inc, 194205, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +22, Private, 141040, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +56, Private, 346033, 9th, 5, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 177125, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 241174, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, United-States, >50K +57, Local-gov, 130532, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +38, Private, 168496, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 362787, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +22, ?, 244771, 11th, 7, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, Federal-gov, 48123, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-inc, 173858, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, South, >50K +32, Private, 207201, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +29, Private, 37933, 12th, 8, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +56, Private, 33323, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 175943, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 35, United-States, >50K +66, ?, 306178, 10th, 6, Divorced, ?, Not-in-family, White, Male, 2050, 0, 40, United-States, <=50K +71, Local-gov, 229110, HS-grad, 9, Widowed, Exec-managerial, Other-relative, White, Female, 0, 0, 33, United-States, <=50K +20, Private, 113511, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 333677, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 36, United-States, <=50K +42, Private, 236021, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K +20, ?, 371089, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 115023, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +24, State-gov, 133586, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 91137, 9th, 5, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 105598, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 352812, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K +31, Private, 204829, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 247733, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K +36, ?, 370585, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 103257, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 178915, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 54260, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 55395, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 233511, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K +49, Private, 318331, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 195985, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 38876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Self-emp-inc, 81413, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 172618, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +36, Private, 174717, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +67, Private, 224984, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 15831, 0, 16, Germany, >50K +61, Private, 423297, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Local-gov, 88856, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, ?, 169104, Assoc-acdm, 12, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 16, Philippines, <=50K +35, Federal-gov, 39207, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 340018, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +20, State-gov, 30796, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +51, Private, 155403, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 238092, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 225605, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, United-States, <=50K +36, Private, 289148, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 339863, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 178778, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, >50K +29, Private, 568490, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, State-gov, 129345, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 447882, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +24, Private, 314165, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 20, United-States, <=50K +39, Federal-gov, 382859, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +51, State-gov, 82504, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 149700, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K +62, Private, 209844, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 62546, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 228686, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 326587, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 202091, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 310774, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 450246, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 84375, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 45, United-States, <=50K +43, Private, 142444, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 55, United-States, >50K +26, Private, 82246, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 38, United-States, <=50K +24, Private, 192766, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 53109, 11th, 7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K +45, Self-emp-inc, 121836, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, ?, >50K +45, Self-emp-not-inc, 298130, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K +26, Private, 135645, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 265275, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, ?, 410114, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Without-pay, 232719, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 167716, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, <=50K +68, Private, 107627, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K +21, Private, 129674, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 48, Mexico, <=50K +28, Self-emp-inc, 114053, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +46, Private, 202560, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +35, Private, 219902, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K +50, Self-emp-not-inc, 192654, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +48, Self-emp-inc, 238966, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, ?, 112942, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 153484, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K +23, Private, 161874, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +53, Private, 260106, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +50, Self-emp-inc, 240374, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +32, ?, 251612, 5th-6th, 3, Never-married, ?, Unmarried, White, Female, 0, 0, 45, Mexico, <=50K +53, Private, 223696, 12th, 8, Married-spouse-absent, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 56, Dominican-Republic, <=50K +52, Private, 176134, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K +38, Private, 186959, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 456236, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +35, Private, 98948, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 32, United-States, <=50K +41, Private, 166662, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 448626, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 167482, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K +45, Private, 189792, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 399052, 9th, 5, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 42, United-States, <=50K +40, Private, 104196, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +47, Self-emp-not-inc, 152752, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +53, Private, 268545, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K +53, Self-emp-inc, 148532, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +33, Local-gov, 281784, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 1564, 52, United-States, >50K +24, Private, 225724, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +34, Private, 200192, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 170850, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Federal-gov, 224858, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K +61, State-gov, 159908, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, >50K +31, Private, 115488, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 1268339, HS-grad, 9, Married-spouse-absent, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +42, Private, 195755, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +50, Federal-gov, 186272, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 181388, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 177181, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +74, Private, 91488, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 20, United-States, <=50K +40, Private, 230961, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +75, Self-emp-not-inc, 309955, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2174, 50, United-States, >50K +40, Local-gov, 63042, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Private, 29814, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, ?, 116230, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +42, ?, 167678, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 22, Ecuador, <=50K +28, Private, 191088, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +19, Private, 63814, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K +36, Private, 285865, Assoc-acdm, 12, Separated, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +33, ?, 160776, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, France, <=50K +50, Federal-gov, 299831, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 880, 40, United-States, <=50K +47, Private, 162741, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 15024, 0, 40, United-States, >50K +48, Private, 204990, HS-grad, 9, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 33, Jamaica, <=50K +60, Self-emp-inc, 171315, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 296462, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +32, Private, 103860, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Local-gov, 159816, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 35, United-States, >50K +51, Private, 96586, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 202720, 9th, 5, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 75, Haiti, <=50K +34, Private, 202822, Masters, 14, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +48, Self-emp-not-inc, 379883, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, >50K +68, ?, 123464, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 294121, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +63, ?, 179981, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K +31, Private, 234387, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 154537, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 125856, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Private, 156015, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 116632, Bachelors, 13, Divorced, Sales, Own-child, White, Male, 0, 0, 80, United-States, <=50K +50, Private, 124963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K +38, Self-emp-not-inc, 115215, 10th, 6, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 254905, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 195532, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 190067, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 1564, 40, United-States, >50K +63, Private, 181828, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, ?, <=50K +32, Private, 203674, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 880, 36, United-States, <=50K +25, Private, 322585, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +59, Private, 246262, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Local-gov, 211129, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, ?, <=50K +49, Private, 139268, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 188540, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, ?, 251167, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, Mexico, <=50K +46, Private, 94809, Some-college, 10, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +37, Local-gov, 265038, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +48, Private, 182566, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K +43, Private, 220109, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 44, United-States, <=50K +41, Private, 208470, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 28683, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 40, United-States, <=50K +36, Private, 233571, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +29, Private, 24562, Bachelors, 13, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K +66, Local-gov, 36364, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2267, 40, United-States, <=50K +59, Private, 168569, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +62, Private, 167098, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 271579, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +28, Private, 191355, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 31659, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 60, United-States, >50K +42, State-gov, 83411, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Private, 40856, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K +58, Private, 115605, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 132326, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 220213, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 172511, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 156745, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 218916, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 306114, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 196675, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 70, United-States, <=50K +59, Self-emp-not-inc, 73411, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +36, Private, 184659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +72, ?, 75890, Some-college, 10, Widowed, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 4, United-States, <=50K +35, Private, 320451, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 65, Hong, >50K +33, Private, 172498, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 131588, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K +40, Private, 124520, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, >50K +26, Self-emp-not-inc, 93806, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +37, Federal-gov, 173192, Assoc-voc, 11, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +68, Self-emp-not-inc, 198554, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +45, Private, 26502, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, >50K +56, Private, 225267, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 150042, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 211319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +38, Private, 208358, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 58115, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 41, United-States, <=50K +28, Private, 219267, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 28, United-States, <=50K +39, Federal-gov, 129573, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Local-gov, 27834, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-inc, 415037, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K +52, Private, 191529, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +84, Private, 132806, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 13, United-States, <=50K +33, Federal-gov, 137059, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +46, Federal-gov, 102308, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +30, Private, 164309, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +38, Private, 40955, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, England, >50K +66, Private, 141085, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +62, Federal-gov, 258124, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, >50K +31, Private, 467579, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 40, United-States, >50K +31, Private, 145139, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 231141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2829, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 146674, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 50, ?, <=50K +27, Private, 242207, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, ?, 102541, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +38, Private, 135416, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 267284, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 130812, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 183765, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, ?, <=50K +45, Local-gov, 188823, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 200593, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 124094, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K +21, Private, 50411, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Local-gov, 101689, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 73091, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 1876, 50, United-States, <=50K +21, ?, 107801, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 6, United-States, <=50K +51, Private, 176969, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +30, Private, 342709, HS-grad, 9, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 368561, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 26915, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +57, Private, 157974, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K +48, Private, 109832, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +39, Self-emp-inc, 116358, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, ?, >50K +68, Self-emp-not-inc, 195881, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2414, 0, 40, United-States, <=50K +33, Private, 183000, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +22, Without-pay, 302347, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 4416, 0, 40, United-States, <=50K +18, ?, 151463, 11th, 7, Never-married, ?, Other-relative, White, Male, 0, 0, 7, United-States, <=50K +28, Private, 217200, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 31740, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +56, Private, 35520, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +36, Private, 369843, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 199227, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +18, Private, 144711, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 1721, 40, United-States, <=50K +39, Private, 382802, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, Black, Male, 0, 1590, 40, United-States, <=50K +25, Private, 254781, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 70657, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +56, Self-emp-not-inc, 50791, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 1876, 60, United-States, <=50K +33, Self-emp-not-inc, 222162, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 94606, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K +44, Self-emp-not-inc, 104196, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 84, United-States, <=50K +30, Self-emp-not-inc, 455995, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +27, Private, 166210, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 198986, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +30, Self-emp-inc, 292465, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 99388, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +38, Private, 698363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 154940, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 401998, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +62, Private, 162825, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 271795, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 134671, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 87583, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 14, United-States, <=50K +50, Private, 248619, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 130200, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 178922, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 51985, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +37, Private, 125933, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +38, State-gov, 104280, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +27, Private, 617860, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 122112, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K +45, Local-gov, 181758, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 223671, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K +38, Self-emp-not-inc, 140117, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +27, Private, 107458, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Federal-gov, 215948, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, ?, <=50K +44, Federal-gov, 306440, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Federal-gov, 615893, Masters, 14, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Nicaragua, <=50K +28, Self-emp-inc, 201186, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 99999, 0, 40, United-States, >50K +32, Private, 37210, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +43, Private, 196084, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +45, Local-gov, 166181, HS-grad, 9, Divorced, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +52, Federal-gov, 291096, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 7298, 0, 40, United-States, >50K +24, Private, 232841, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +19, ?, 131982, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 408788, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Self-emp-inc, 42924, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K +31, Private, 181091, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 200246, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 282023, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Federal-gov, 128990, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 106838, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 144750, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 18, United-States, <=50K +39, Private, 108140, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 103323, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 268022, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K +58, Private, 197114, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 191628, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 2174, 0, 40, United-States, <=50K +59, Local-gov, 176118, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +24, Private, 42401, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K +42, Private, 322385, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2407, 0, 40, United-States, <=50K +53, State-gov, 123011, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 210945, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Local-gov, 130620, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K +26, Private, 248990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +33, Private, 132705, 9th, 5, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +29, Private, 94892, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 141858, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 81232, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +48, Private, 114561, Bachelors, 13, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 36, Philippines, >50K +45, Local-gov, 191776, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 128354, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 37088, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +21, Private, 414812, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +63, ?, 156799, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +39, Private, 33983, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 40, United-States, >50K +52, Self-emp-not-inc, 194995, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 55, United-States, >50K +41, Self-emp-inc, 73431, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 155664, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 70, United-States, >50K +27, ?, 182386, 11th, 7, Divorced, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +53, State-gov, 281074, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1092, 40, United-States, <=50K +33, Local-gov, 248346, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 167482, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +18, ?, 171088, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 211763, Doctorate, 16, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 24, United-States, >50K +20, Private, 122166, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 370119, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Self-emp-not-inc, 138940, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +41, Private, 174575, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 45, United-States, >50K +67, Private, 101132, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 1797, 0, 40, United-States, <=50K +38, Private, 292307, Bachelors, 13, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, Dominican-Republic, <=50K +47, Self-emp-not-inc, 248776, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K +39, Private, 314007, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 213226, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 35, ?, <=50K +36, Private, 76845, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +24, Private, 148320, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 54261, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K +21, Private, 223352, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 1055, 0, 30, United-States, <=50K +21, Private, 211013, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, Mexico, <=50K +40, Private, 209833, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 356272, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +38, Private, 143538, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 242960, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Local-gov, 263871, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 151105, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 207685, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1564, 55, England, >50K +49, Local-gov, 46537, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 594, 0, 10, United-States, <=50K +45, Self-emp-inc, 84324, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 224716, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 186269, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 143731, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K +39, Private, 236391, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 54560, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 266325, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K +32, Federal-gov, 42900, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +45, State-gov, 183710, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +23, Private, 278254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 45, United-States, <=50K +35, Private, 119992, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +52, Private, 284329, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +55, Private, 368727, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 353696, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 31387, Bachelors, 13, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 2885, 0, 25, United-States, <=50K +27, Private, 110931, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 169532, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +21, Private, 285522, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 198774, Bachelors, 13, Divorced, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +32, Private, 123291, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 146110, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +37, Self-emp-not-inc, 29814, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +61, Private, 195595, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +44, Private, 92649, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K +53, Private, 290688, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K +43, Private, 427382, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +60, State-gov, 234854, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +23, Private, 276568, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 250038, Masters, 14, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +29, Private, 150861, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 87205, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, England, <=50K +47, Private, 343579, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 12, Mexico, <=50K +20, Private, 94401, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 120238, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, Poland, >50K +27, Private, 205440, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 198996, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 294253, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K +23, Private, 256628, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 32, United-States, <=50K +59, Self-emp-not-inc, 223131, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +46, Private, 207301, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +66, ?, 270460, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 125457, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 38, United-States, >50K +36, Local-gov, 212856, 11th, 7, Never-married, Other-service, Unmarried, White, Female, 0, 0, 23, United-States, <=50K +44, Private, 197389, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 73338, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 68037, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 185027, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 107123, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 109482, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 98, United-States, <=50K +30, Private, 174543, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 208407, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 30, United-States, <=50K +68, Self-emp-not-inc, 211584, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 108540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 202416, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +62, ?, 160155, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 6418, 0, 40, United-States, >50K +20, Private, 176178, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +21, Private, 265148, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 38, Jamaica, <=50K +34, Private, 220631, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, ?, <=50K +30, Self-emp-not-inc, 303692, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, <=50K +25, Private, 135845, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, State-gov, 199915, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 21, United-States, <=50K +40, State-gov, 150533, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +26, Federal-gov, 85482, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 24473, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 272944, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +43, ?, 82077, Some-college, 10, Divorced, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +49, State-gov, 194895, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 314153, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 176253, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +59, Private, 113959, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +42, State-gov, 167581, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 79586, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Iran, <=50K +40, Private, 166662, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K +47, Private, 72896, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 345730, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +30, Private, 302473, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 42346, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +21, Private, 243921, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 131620, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K +47, Private, 158924, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K +22, Self-emp-not-inc, 32921, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +35, Private, 252897, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K +41, Private, 155657, 11th, 7, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 155106, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 53, United-States, <=50K +60, Private, 82775, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +73, Private, 26248, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K +90, Private, 88991, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, England, >50K +62, Federal-gov, 125155, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K +28, Private, 218039, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 53524, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 259352, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 296453, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +19, Private, 278915, 12th, 8, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 52, United-States, <=50K +23, Private, 565313, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 2202, 0, 80, United-States, <=50K +22, Federal-gov, 274103, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K +19, Private, 271118, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 28, United-States, <=50K +45, Federal-gov, 207107, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Male, 0, 2080, 40, Philippines, <=50K +26, Local-gov, 138597, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +42, Local-gov, 180985, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 99999, 0, 40, United-States, >50K +62, Self-emp-not-inc, 159939, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +61, Private, 110920, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 34862, Bachelors, 13, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 0, 1564, 60, United-States, >50K +22, Local-gov, 163205, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 53, United-States, <=50K +56, Private, 110003, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 229051, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, ?, 144898, Some-college, 10, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 211596, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 48458, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 1669, 45, United-States, <=50K +58, Private, 201393, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K +25, Self-emp-not-inc, 136450, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +23, Private, 193586, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +23, Private, 91189, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 227832, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 271936, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +35, Private, 61343, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 157778, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K +23, Private, 201680, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 228320, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +72, Private, 33404, 10th, 6, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 103205, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 279029, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 213092, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 126104, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1980, 45, United-States, <=50K +32, Private, 119124, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 31924, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +22, Private, 253799, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, ?, <=50K +52, Private, 266138, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K +65, Private, 185001, 10th, 6, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +33, Self-emp-not-inc, 34102, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +35, Private, 115214, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 6497, 0, 65, United-States, <=50K +27, Private, 289484, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, State-gov, 287908, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 42, United-States, <=50K +53, Self-emp-not-inc, 158284, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K +23, Private, 60668, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K +43, State-gov, 222978, Doctorate, 16, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K +58, Private, 244605, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3908, 0, 40, United-States, <=50K +38, Private, 150601, 10th, 6, Separated, Adm-clerical, Unmarried, White, Male, 0, 3770, 40, United-States, <=50K +26, Private, 199143, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 131681, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 346406, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1672, 50, United-States, <=50K +33, Federal-gov, 391122, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +29, Local-gov, 280344, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, State-gov, 188809, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +41, Private, 277488, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 36, United-States, <=50K +63, Self-emp-not-inc, 181561, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 158545, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 27, United-States, <=50K +23, Private, 313573, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +31, Private, 591711, Some-college, 10, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +41, Private, 268183, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +51, Private, 392286, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Private, 233312, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 520231, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +24, Self-emp-not-inc, 186831, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K +67, Self-emp-not-inc, 141085, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +65, ?, 198019, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +47, Local-gov, 198660, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 409230, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +38, Private, 376025, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 80167, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 99357, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 1506, 0, 40, United-States, <=50K +24, Private, 82847, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, Portugal, >50K +24, Private, 22201, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K +38, Private, 275223, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K +19, Private, 117595, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K +32, Private, 207668, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +63, Self-emp-not-inc, 179981, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +18, Private, 192583, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 66304, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 200671, Bachelors, 13, Divorced, Transport-moving, Own-child, Black, Male, 6497, 0, 40, United-States, <=50K +57, Private, 32365, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 28497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 222978, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 1504, 40, United-States, <=50K +25, Private, 160261, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +48, Private, 120724, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 91733, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K +74, Self-emp-not-inc, 146929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +44, Private, 205706, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 181666, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +54, Local-gov, 279452, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 207568, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K +38, Private, 22494, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 7443, 0, 40, United-States, <=50K +18, Private, 210026, 10th, 6, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +32, Local-gov, 190889, Masters, 14, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 40, ?, <=50K +24, Private, 109869, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Self-emp-not-inc, 285263, 9th, 5, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K +28, Private, 192588, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 232945, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 30, United-States, <=50K +49, Local-gov, 31339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 305147, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 188914, HS-grad, 9, Widowed, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 40, Haiti, <=50K +58, Self-emp-not-inc, 141165, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +68, Self-emp-inc, 136218, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +41, Federal-gov, 371382, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +21, ?, 199177, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 221366, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 50, United-States, >50K +24, Private, 403671, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 193871, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 306183, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 44, United-States, <=50K +64, ?, 159938, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +54, Private, 124194, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 69847, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K +26, State-gov, 169323, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, State-gov, 172327, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +48, Private, 118889, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 15, United-States, <=50K +50, Private, 166220, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 3942, 0, 40, United-States, <=50K +39, Private, 186420, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 192779, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +41, Private, 105616, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K +24, Private, 141113, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 2580, 0, 40, United-States, <=50K +57, Private, 160275, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 164507, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K +41, Private, 207578, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, India, >50K +55, Private, 314592, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +41, ?, 254630, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +69, Private, 159522, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, Black, Female, 2964, 0, 40, United-States, <=50K +22, Private, 112130, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +45, Private, 192835, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 3942, 0, 40, United-States, <=50K +33, Private, 206280, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +57, Private, 308861, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 93206, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1902, 65, United-States, >50K +40, Private, 206066, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +48, Self-emp-not-inc, 309895, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Local-gov, 216129, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +26, State-gov, 287420, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +24, Private, 163595, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 170092, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +37, Private, 287031, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 75, United-States, >50K +42, Private, 59474, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 99151, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +37, Private, 206888, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +28, Private, 177119, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 80, ?, <=50K +22, Private, 173736, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 182163, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K +45, Local-gov, 311080, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Self-emp-not-inc, 389857, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +23, Private, 297152, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +24, Federal-gov, 130534, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 137301, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 316235, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 32, United-States, <=50K +28, Self-emp-inc, 32922, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +58, Private, 118303, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, >50K +18, Private, 188241, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +59, Private, 236731, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +39, Private, 209397, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +53, Self-emp-inc, 290640, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +54, Private, 221915, Prof-school, 15, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 65, United-States, <=50K +51, Private, 175246, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +59, Private, 159724, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 55, United-States, >50K +42, State-gov, 160369, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +36, Private, 461337, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 187311, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +32, Private, 29312, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 197365, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 301747, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +55, Local-gov, 135439, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +30, Private, 340917, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 155057, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +65, ?, 200749, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +44, Private, 323627, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K +23, ?, 154921, 5th-6th, 3, Never-married, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 131425, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 184242, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +28, Private, 149769, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K +44, Private, 124924, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, <=50K +29, Private, 253003, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K +57, State-gov, 250976, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 104196, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +34, Self-emp-not-inc, 250182, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, Private, 188331, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +44, Private, 187322, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 130714, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 22, United-States, <=50K +37, Private, 40955, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 107125, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, >50K +51, Private, 145714, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, ?, >50K +27, Private, 133937, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +41, State-gov, 293485, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3103, 0, 40, United-States, >50K +28, ?, 203260, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K +37, Self-emp-not-inc, 143368, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +18, Private, 51789, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K +24, State-gov, 211049, 7th-8th, 4, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +53, Private, 81794, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 139193, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1980, 48, United-States, <=50K +54, Private, 150999, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 332657, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 240043, 10th, 6, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +43, Private, 186188, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, Iran, <=50K +58, State-gov, 223400, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K +59, Local-gov, 102442, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +31, Private, 236599, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +35, Private, 283237, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 150106, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +45, Private, 102076, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +40, Private, 374764, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 32528, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Federal-gov, 50053, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +58, Private, 212864, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 30673, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +69, ?, 248248, 1st-4th, 2, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 34, Philippines, <=50K +23, Private, 419554, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, <=50K +32, State-gov, 177216, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 118158, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K +41, Private, 116391, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Germany, <=50K +74, Private, 194312, 9th, 5, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 10, ?, <=50K +43, Private, 111895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +18, Private, 193290, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1721, 20, United-States, <=50K +24, Federal-gov, 287988, Bachelors, 13, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 147653, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 32, United-States, <=50K +54, Private, 117674, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Private, 187458, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 410351, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 207578, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +62, ?, 55621, Some-college, 10, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 35, United-States, >50K +27, State-gov, 271243, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, Jamaica, <=50K +30, Private, 188798, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +63, Local-gov, 168656, Bachelors, 13, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 35, Outlying-US(Guam-USVI-etc), <=50K +33, Private, 460408, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K +34, Private, 241885, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +20, ?, 133061, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 194097, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 219137, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +50, Private, 31621, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 207685, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 57052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K +19, Private, 109854, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 369678, HS-grad, 9, Never-married, ?, Not-in-family, Other, Male, 0, 0, 43, United-States, <=50K +17, Private, 53611, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K +47, Private, 344916, Assoc-acdm, 12, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 198813, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +71, Private, 180733, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 188073, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +69, ?, 159077, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K +48, Private, 174829, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 142791, 7th-8th, 4, Widowed, Sales, Other-relative, White, Female, 0, 1602, 3, United-States, <=50K +58, Self-emp-not-inc, 43221, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2415, 40, United-States, >50K +34, Private, 188736, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Female, 0, 0, 20, Columbia, <=50K +33, Local-gov, 222654, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 66, ?, <=50K +56, Private, 251836, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K +40, Federal-gov, 112388, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 209641, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +42, Private, 313945, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Ecuador, <=50K +19, ?, 134974, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 152742, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K +28, Self-emp-inc, 153291, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +40, Private, 353432, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +23, Private, 96635, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K +46, ?, 202560, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K +39, Private, 150057, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +39, Private, 114844, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K +45, Private, 132847, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, ?, 41356, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +50, Self-emp-not-inc, 93705, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 309350, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 123084, 11th, 7, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 174662, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 32, United-States, <=50K +62, Federal-gov, 177295, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 211880, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 454915, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 232475, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Self-emp-inc, 244605, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Private, 150876, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 55, United-States, >50K +51, Private, 257337, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 329144, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K +37, Private, 116960, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +58, Private, 267663, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K +39, Private, 47871, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, >50K +34, Private, 295922, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, England, >50K +45, Private, 175625, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +19, ?, 129586, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 190179, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K +40, Private, 168071, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 202027, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +36, Private, 202662, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 101436, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K +19, ?, 119234, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 15, United-States, <=50K +37, Private, 360743, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, >50K +60, Local-gov, 93272, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 145574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Private, 101722, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 3908, 0, 47, United-States, <=50K +34, Private, 135785, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +23, ?, 218415, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K +19, Private, 127709, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +37, Federal-gov, 448337, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +58, Private, 310320, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 251521, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +39, Private, 255503, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +36, Private, 116608, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K +26, Private, 71009, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +22, Private, 174975, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 36, United-States, <=50K +32, Private, 108023, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 204018, 11th, 7, Never-married, Sales, Unmarried, White, Male, 0, 0, 15, United-States, <=50K +57, ?, 366563, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +68, Private, 121846, 7th-8th, 4, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K +70, Private, 278139, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3432, 0, 40, United-States, <=50K +30, Private, 114691, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, State-gov, 536725, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 15, Japan, <=50K +51, Private, 94432, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 286002, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 30, Nicaragua, <=50K +47, Private, 101684, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 352834, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K +36, Private, 99146, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K +30, Private, 231413, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 158846, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Local-gov, 190786, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +25, Private, 306513, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +62, Private, 152148, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 309580, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, ?, 130832, Bachelors, 13, Never-married, ?, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +25, Private, 194897, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male, 6849, 0, 40, United-States, <=50K +30, Private, 130078, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +48, Private, 39986, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 379198, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K +51, Private, 189762, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 15, United-States, >50K +19, Private, 178147, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K +31, Private, 332379, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 175759, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +21, ?, 262062, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 275446, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 278522, 11th, 7, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 54683, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K +57, Private, 136107, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +18, Private, 205894, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +54, Private, 210736, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 166634, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 185283, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 180553, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 199058, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, ?, <=50K +18, Private, 145005, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +37, Self-emp-not-inc, 184655, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +52, Private, 358554, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K +59, Private, 307423, 9th, 5, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +27, Private, 472070, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Federal-gov, 115562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 32446, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Self-emp-not-inc, 33121, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K +37, Private, 183345, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +28, Private, 119793, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K +48, Self-emp-not-inc, 97883, HS-grad, 9, Separated, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +58, Self-emp-not-inc, 31732, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 206250, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 103323, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-inc, 135436, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Private, 376455, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +52, Private, 160703, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K +30, Private, 131699, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 243842, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 349910, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +61, Private, 170262, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 38, United-States, >50K +33, Private, 184306, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K +46, Private, 224202, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +64, Private, 151540, 11th, 7, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 16, United-States, <=50K +28, Private, 231197, 10th, 6, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +19, Private, 279968, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +36, Private, 162651, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K +43, Self-emp-not-inc, 130126, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Self-emp-not-inc, 160120, Doctorate, 16, Divorced, Adm-clerical, Other-relative, Other, Male, 0, 0, 40, ?, <=50K +56, Private, 161662, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +24, Local-gov, 201664, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 137142, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +45, Self-emp-inc, 122206, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +56, Local-gov, 183169, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 126513, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +35, Federal-gov, 185053, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 408427, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +50, Self-emp-not-inc, 198581, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +61, Private, 199198, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 21, United-States, <=50K +31, Private, 184306, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 1980, 60, United-States, <=50K +63, Private, 172740, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 205153, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 164964, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 162606, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 179627, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 103408, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, Germany, >50K +27, Private, 36440, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 57512, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K +27, Private, 187981, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 393768, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 108726, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 180551, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +51, Self-emp-not-inc, 176240, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 70720, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 35890, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 283676, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Local-gov, 105540, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2051, 40, United-States, <=50K +44, Private, 408717, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 3674, 0, 50, United-States, <=50K +21, Private, 57916, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 177974, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, <=50K +34, ?, 177304, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K +18, Private, 115839, 12th, 8, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +34, ?, 205256, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2885, 0, 80, United-States, <=50K +38, Private, 117802, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, >50K +19, Private, 211355, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K +46, Private, 173243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 343200, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +22, Private, 401690, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, Mexico, <=50K +38, Private, 196123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 168981, Masters, 14, Divorced, Exec-managerial, Own-child, White, Female, 14084, 0, 50, United-States, >50K +83, Self-emp-not-inc, 213866, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K +34, Private, 55176, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 153976, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 119176, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 169117, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 1887, 40, United-States, >50K +38, Private, 156550, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 109609, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +38, Private, 26698, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 236497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +33, State-gov, 306309, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 242773, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +28, Private, 124680, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 6849, 0, 60, United-States, <=50K +52, Local-gov, 43909, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 112820, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 2463, 0, 40, United-States, <=50K +25, Private, 148300, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K +17, Private, 133449, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 26, United-States, <=50K +22, Private, 263670, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 80, United-States, <=50K +22, Private, 276494, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +46, Private, 190115, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K +58, Private, 317479, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +39, Private, 151248, Some-college, 10, Divorced, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +59, Local-gov, 130532, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, Poland, <=50K +61, Private, 160062, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 299635, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +50, Private, 171225, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +51, Private, 33304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 95634, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 45, ?, <=50K +20, Private, 243878, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 181721, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K +44, Federal-gov, 201435, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +28, Private, 334032, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 220019, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 71772, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +42, Self-emp-not-inc, 27661, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 191411, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, India, <=50K +39, Private, 123945, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +38, Self-emp-not-inc, 37778, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +34, State-gov, 171216, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 93955, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +63, Private, 163809, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +53, Private, 346754, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +43, Private, 188436, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +28, Private, 72443, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1669, 60, United-States, <=50K +68, Private, 186350, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 10, United-States, >50K +22, ?, 214238, 7th-8th, 4, Never-married, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +46, State-gov, 394860, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K +57, Private, 262642, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 125550, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +66, Private, 192504, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 131310, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 249322, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +38, Private, 172755, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 209993, 11th, 7, Separated, Priv-house-serv, Unmarried, White, Female, 0, 0, 8, Mexico, <=50K +30, Private, 166961, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 37, United-States, <=50K +39, Private, 315291, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 284703, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +50, Private, 166565, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Self-emp-not-inc, 173854, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 189219, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 210781, Bachelors, 13, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, France, <=50K +59, Local-gov, 171328, HS-grad, 9, Separated, Protective-serv, Other-relative, Black, Female, 0, 2339, 40, United-States, <=50K +45, Private, 199832, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K +64, Private, 251292, 5th-6th, 3, Separated, Other-service, Other-relative, White, Female, 0, 0, 20, Cuba, <=50K +61, Private, 122246, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 190767, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 278736, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +53, Private, 124963, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 167476, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 7, United-States, <=50K +34, Local-gov, 246104, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 171615, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K +67, Private, 264095, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 9386, 0, 24, Cuba, >50K +46, Private, 177114, Assoc-acdm, 12, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 27, United-States, <=50K +32, Private, 146154, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 198196, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 79712, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 154785, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 182423, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +20, ?, 347292, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 32, United-States, <=50K +34, Private, 118584, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 219835, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, ?, <=50K +17, ?, 148769, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +45, Private, 197418, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +21, Private, 253190, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 192273, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 129573, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K +17, Private, 173807, 11th, 7, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 15, United-States, <=50K +35, Private, 217893, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +38, Private, 102938, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Local-gov, 407495, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K +25, Private, 50053, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Japan, <=50K +57, Private, 233382, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K +32, Private, 270968, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +39, Local-gov, 272166, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +23, Private, 199915, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +21, Private, 305781, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 107682, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +25, Private, 188507, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Dominican-Republic, <=50K +18, ?, 28311, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +41, Federal-gov, 197069, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male, 4650, 0, 40, United-States, <=50K +19, Private, 177839, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +24, Private, 77665, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +57, Private, 127728, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +51, ?, 172175, Doctorate, 16, Never-married, ?, Not-in-family, White, Male, 0, 2824, 40, United-States, >50K +32, Private, 106742, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 192838, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 79531, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, >50K +21, State-gov, 337766, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +45, Self-emp-not-inc, 33234, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +17, ?, 34088, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +55, Private, 176904, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +42, Private, 172148, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +49, Private, 199058, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K +38, Private, 48093, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 143664, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 168337, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K +43, Private, 195212, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, ?, <=50K +39, Private, 230329, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Canada, >50K +42, Private, 376072, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +32, Private, 430175, HS-grad, 9, Divorced, Craft-repair, Other-relative, Black, Female, 0, 0, 50, United-States, <=50K +44, Federal-gov, 240628, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K +50, Self-emp-inc, 158294, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 80, United-States, >50K +55, Private, 28735, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K +37, Private, 167482, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 113203, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 103948, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 310525, 12th, 8, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K +35, Private, 105138, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 153489, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +57, State-gov, 254949, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 118149, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 267965, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +43, Private, 50646, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +33, Private, 147700, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K +18, Private, 446771, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K +47, Private, 168262, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 117058, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 140957, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, >50K +35, Private, 186126, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, ?, <=50K +49, Private, 268234, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 485117, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 31350, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, England, <=50K +36, State-gov, 210830, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K +29, Private, 196420, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +52, Private, 172165, 10th, 6, Divorced, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +50, Self-emp-not-inc, 186565, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 119359, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 109684, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 169589, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 125421, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +31, Private, 500002, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K +33, Private, 224141, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 113290, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K +62, ?, 123992, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 58098, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K +46, ?, 37672, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +55, Private, 198145, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +49, Federal-gov, 35406, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +22, Private, 199419, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 145441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K +58, Private, 238438, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K +48, State-gov, 212954, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +21, Private, 56582, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K +67, Local-gov, 176931, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +39, Self-emp-not-inc, 188571, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Federal-gov, 312500, Assoc-voc, 11, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 278404, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 114225, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +18, Private, 184016, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Local-gov, 183009, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K +59, Private, 205759, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 462294, Assoc-acdm, 12, Never-married, Other-service, Own-child, Black, Male, 0, 0, 44, United-States, <=50K +42, Private, 102085, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +54, Self-emp-not-inc, 83311, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K +39, Private, 248694, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +57, Local-gov, 190747, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 162988, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +31, Self-emp-not-inc, 156890, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 310380, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female, 0, 0, 45, United-States, <=50K +35, Private, 172186, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 311497, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-inc, 443508, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Private, 152156, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 155890, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +38, State-gov, 312528, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, <=50K +51, Private, 282744, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Canada, <=50K +27, Private, 205145, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, ?, 119918, Bachelors, 13, Never-married, ?, Not-in-family, Black, Male, 0, 0, 45, ?, <=50K +22, Private, 401451, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K +72, ?, 173427, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Cuba, <=50K +25, Private, 189027, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 35551, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +23, Private, 42706, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +63, Private, 106910, 5th-6th, 3, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 19, Philippines, <=50K +23, Private, 53245, 9th, 5, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 221672, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +75, Private, 71898, Preschool, 1, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 48, Philippines, <=50K +52, Private, 222107, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +69, Private, 277588, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 10, United-States, <=50K +52, Private, 178983, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +40, Federal-gov, 391744, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 418020, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +21, State-gov, 39236, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +30, Private, 86808, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 147640, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 1902, 40, United-States, <=50K +21, Private, 184756, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K +44, Private, 191256, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, State-gov, 105943, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3908, 0, 40, United-States, <=50K +40, Private, 101272, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +33, State-gov, 175023, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 37, United-States, <=50K +22, Self-emp-not-inc, 357612, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +23, Private, 82777, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K +75, Self-emp-not-inc, 218521, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +55, Private, 179534, 11th, 7, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, ?, 33339, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +45, Private, 148549, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 27828, 0, 56, United-States, >50K +31, Private, 198069, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K +49, Private, 236586, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Local-gov, 167261, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 160942, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 50, United-States, <=50K +44, Private, 107584, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3908, 0, 50, United-States, <=50K +28, Local-gov, 251854, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +79, ?, 163140, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Private, 302579, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K +44, Self-emp-inc, 64632, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 83141, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 326048, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 83471, HS-grad, 9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K +23, Private, 170070, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +25, Private, 207875, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +48, Private, 119722, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 8, United-States, <=50K +18, Private, 335665, 11th, 7, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 24, United-States, <=50K +25, Private, 212522, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 42069, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 2176, 0, 45, United-States, <=50K +26, ?, 131777, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2002, 40, United-States, <=50K +33, Private, 236396, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K +42, Private, 159911, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 133833, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 226947, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 174201, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 49707, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +33, Private, 201988, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +62, Self-emp-not-inc, 162347, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, >50K +30, Private, 182833, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +22, Private, 383603, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 70466, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 184846, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +25, Private, 176756, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 112512, HS-grad, 9, Widowed, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 137296, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 37821, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +25, Private, 295108, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +40, Private, 408717, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 255635, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +48, Self-emp-not-inc, 177783, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +63, Self-emp-not-inc, 179400, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 20, United-States, <=50K +31, Private, 240283, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Private, 410034, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 180667, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 196332, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +32, Local-gov, 159187, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +46, Private, 225065, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Mexico, <=50K +19, Private, 178147, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +30, Private, 272669, Some-college, 10, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +35, Private, 347491, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 146399, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +33, Private, 75167, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +25, Private, 133373, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +64, Local-gov, 84737, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 35, United-States, >50K +18, Private, 96483, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K +59, Private, 368005, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, State-gov, 36032, HS-grad, 9, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 174215, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +24, Private, 228772, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +22, Private, 242912, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +49, Self-emp-inc, 86701, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 56, United-States, >50K +35, Private, 166549, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Local-gov, 121622, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K +18, Private, 201613, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +35, Private, 29874, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 168138, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 162404, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K +21, ?, 162160, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K +26, Private, 139116, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 50, United-States, <=50K +44, Private, 192381, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, United-States, >50K +39, Private, 370585, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +40, State-gov, 151038, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +70, Self-emp-not-inc, 36311, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 35, United-States, >50K +34, Private, 271933, Masters, 14, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +34, Private, 182401, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +66, Private, 234743, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 182140, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 215591, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +59, Self-emp-not-inc, 96459, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, ?, 205562, Masters, 14, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 188081, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +33, State-gov, 121245, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +18, Private, 127273, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +25, Private, 114345, 9th, 5, Never-married, Craft-repair, Unmarried, White, Male, 914, 0, 40, United-States, <=50K +22, Private, 341227, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +40, Local-gov, 166893, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K +68, ?, 65730, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +30, Private, 145231, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, White, Female, 0, 1762, 40, United-States, <=50K +73, Self-emp-not-inc, 102510, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6418, 0, 99, United-States, >50K +45, Self-emp-not-inc, 285335, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K +23, Private, 177087, 11th, 7, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K +40, Private, 240504, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Private, 218490, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +23, Private, 384651, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 189551, HS-grad, 9, Divorced, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +53, Private, 194791, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +24, Private, 194630, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +53, Private, 177647, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 51620, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 251421, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 180477, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K +40, State-gov, 391736, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, State-gov, 170091, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 6, United-States, <=50K +36, Private, 175360, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K +35, Private, 276153, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 4650, 0, 40, United-States, <=50K +53, Federal-gov, 105788, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, United-States, >50K +42, Local-gov, 248476, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, >50K +32, Private, 168443, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 120201, HS-grad, 9, Divorced, Adm-clerical, Own-child, Other, Female, 0, 0, 65, United-States, <=50K +59, Private, 114678, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K +36, Private, 167440, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K +37, Self-emp-not-inc, 265266, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K +31, Private, 212235, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 44671, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, State-gov, 87282, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 38, United-States, <=50K +27, Private, 112754, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 60, United-States, >50K +29, Self-emp-not-inc, 322238, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 65382, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 115176, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K +48, Self-emp-not-inc, 162236, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, ?, >50K +42, Private, 409902, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +60, Local-gov, 204062, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K +35, Private, 283305, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 435638, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-inc, 114733, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 36, United-States, <=50K +22, Private, 162343, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 22, United-States, <=50K +18, ?, 195981, HS-grad, 9, Widowed, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 79531, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +44, State-gov, 395078, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Local-gov, 159641, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 625, 40, United-States, <=50K +21, Private, 159567, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 133917, Assoc-voc, 11, Never-married, Sales, Other-relative, Black, Male, 0, 0, 40, ?, <=50K +52, Private, 196894, 11th, 7, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 132879, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +23, Private, 190290, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 102828, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, <=50K +31, Private, 128493, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +30, State-gov, 290677, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +21, Private, 283757, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 169104, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +51, Private, 171409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Self-emp-not-inc, 319165, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 203182, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +20, ?, 211968, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K +26, Private, 215384, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1974, 55, United-States, <=50K +26, Private, 166666, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +41, Private, 156566, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 140564, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Local-gov, 322208, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 420277, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 123430, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, Mexico, <=50K +45, Self-emp-inc, 151584, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +37, Self-emp-not-inc, 348960, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +47, Private, 168232, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 45, United-States, >50K +47, Self-emp-inc, 201699, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 511517, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 118001, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 193961, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +21, Private, 32732, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 223548, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K +33, Private, 389932, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K +29, Private, 102345, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +41, Private, 107584, Some-college, 10, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +20, ?, 34321, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +20, State-gov, 39478, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 54, United-States, <=50K +34, Self-emp-not-inc, 276221, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +78, Self-emp-inc, 385242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 45, United-States, >50K +46, Private, 235646, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 123306, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Private, 38573, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 216889, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 386705, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K +47, Self-emp-not-inc, 249585, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +31, Local-gov, 47276, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 38, United-States, >50K +42, Self-emp-not-inc, 162758, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 56, United-States, >50K +46, Local-gov, 146497, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 190765, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +21, Private, 186314, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 213615, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 162322, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, State-gov, 115932, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 392694, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +38, State-gov, 143517, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-inc, 123429, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Italy, >50K +53, Private, 254285, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 238311, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 36, United-States, >50K +49, Private, 281647, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +30, Private, 75167, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 252862, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 199240, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, England, <=50K +43, Private, 145762, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Local-gov, 142443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +49, Private, 99361, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +36, Private, 105138, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 183171, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 1055, 0, 32, United-States, <=50K +18, Private, 151866, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +60, Private, 297261, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +43, Private, 148998, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 143046, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 183850, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +55, Self-emp-not-inc, 248841, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K +31, Private, 198452, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 161092, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 112497, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Self-emp-not-inc, 155963, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +28, Private, 147560, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K +24, Private, 376393, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, State-gov, 151790, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +21, Private, 438139, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +20, ?, 163911, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 214896, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +30, Private, 102821, Some-college, 10, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +44, Self-emp-not-inc, 90021, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +45, Private, 77085, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K +42, Private, 158555, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, ?, 28160, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 462255, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 144949, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 116207, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K +17, Private, 187308, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +45, Local-gov, 189890, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 185267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 63434, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +45, Private, 1366120, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +41, Self-emp-inc, 495061, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K +34, Local-gov, 134886, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1740, 35, United-States, <=50K +33, Private, 129707, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +17, ?, 181337, 10th, 6, Never-married, ?, Own-child, Other, Female, 0, 0, 20, United-States, <=50K +51, Private, 74784, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +33, Private, 44392, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +23, Private, 406641, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 18, United-States, <=50K +52, Private, 89041, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, >50K +36, ?, 139770, Some-college, 10, Divorced, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K +25, Private, 180212, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, ?, 338212, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K +64, Self-emp-not-inc, 178472, 9th, 5, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +42, Private, 384236, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +29, Private, 168470, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Local-gov, 80485, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +38, ?, 181705, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K +24, Private, 216867, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K +43, Federal-gov, 214541, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 383239, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K +28, Private, 70034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +18, ?, 266287, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 128485, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +81, ?, 89015, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K +55, Private, 106740, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 167527, 11th, 7, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 19302, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 210150, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 179824, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K +27, Private, 420351, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, State-gov, 215443, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +26, Private, 116044, 11th, 7, Separated, Craft-repair, Other-relative, White, Male, 2907, 0, 50, United-States, <=50K +33, Private, 215306, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K +39, Private, 108069, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 260046, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 31053, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 362302, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +54, Private, 87205, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +45, Private, 191703, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 242968, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +23, Local-gov, 185575, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 177858, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 73585, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 301802, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +32, Self-emp-inc, 108467, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +47, Private, 431245, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 157217, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 204935, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 277112, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +64, Self-emp-inc, 59145, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K +30, Local-gov, 159773, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K +51, Private, 118793, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K +26, State-gov, 152457, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 187901, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 1504, 40, United-States, <=50K +50, Private, 266529, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 256179, Some-college, 10, Never-married, ?, Own-child, White, Male, 594, 0, 10, United-States, <=50K +63, Private, 113756, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 83444, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K +37, Self-emp-inc, 30529, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 50, United-States, >50K +51, ?, 146325, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 28, United-States, <=50K +29, Private, 198825, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +69, Private, 71489, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K +56, Private, 111218, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +26, ?, 221626, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +39, Local-gov, 203482, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +42, Self-emp-not-inc, 352196, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K +41, Federal-gov, 355918, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 168262, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K +23, Private, 182615, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 211482, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +34, Private, 386370, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, ?, 85077, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 1902, 20, United-States, >50K +46, Local-gov, 180010, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +46, Without-pay, 142210, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 25, United-States, <=50K +33, Private, 415706, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +46, Private, 237731, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 343506, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +49, Local-gov, 116163, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, France, <=50K +66, ?, 206560, HS-grad, 9, Widowed, ?, Not-in-family, Other, Female, 0, 0, 35, Puerto-Rico, <=50K +55, State-gov, 153451, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1887, 40, United-States, >50K +35, Private, 301862, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 33429, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 169583, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 146497, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 16, Germany, <=50K +48, Self-emp-not-inc, 383384, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 240809, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K +38, Private, 203763, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 218785, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +23, ?, 381741, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 1721, 20, United-States, <=50K +17, Private, 244602, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +44, State-gov, 175696, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 101027, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +37, Private, 99270, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 224393, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +42, Private, 192381, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 131686, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +73, ?, 84390, Assoc-voc, 11, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +44, Private, 277533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 72880, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, ?, 149646, Some-college, 10, Divorced, ?, Own-child, White, Female, 0, 0, 20, ?, <=50K +49, Private, 209057, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 108909, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +42, Private, 74949, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 235639, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 137421, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 37, Hong, <=50K +53, Private, 122412, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 434894, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 379959, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 95885, 11th, 7, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 13550, 0, 60, United-States, >50K +39, Private, 225330, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 50, Poland, >50K +40, Private, 32627, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 65171, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 193380, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 184823, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 81259, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +35, Private, 301369, 12th, 8, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 190968, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +71, Private, 196610, 7th-8th, 4, Widowed, Exec-managerial, Not-in-family, White, Male, 6097, 0, 40, United-States, >50K +31, Private, 330715, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 77698, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 139770, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 6849, 0, 40, United-States, <=50K +24, Private, 109053, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +69, Private, 312653, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K +35, Self-emp-not-inc, 193260, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K +35, Private, 331831, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 54202, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K +51, Private, 163948, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 36228, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +49, Private, 160167, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 178356, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2407, 0, 99, United-States, <=50K +43, Private, 104196, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 288353, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 187693, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 114988, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Local-gov, 117392, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 121124, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 195638, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 245053, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 1504, 40, United-States, <=50K +49, State-gov, 216734, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, ?, 197827, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 49156, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 126133, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 304463, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K +34, Private, 214288, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 274969, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +23, Private, 189072, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K +46, Private, 128047, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +20, Private, 210338, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +63, Private, 122442, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 167081, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 50, United-States, <=50K +33, Private, 251421, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +24, Federal-gov, 219519, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 33355, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 441210, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Local-gov, 178356, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 231196, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +58, State-gov, 40925, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 270587, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, England, <=50K +40, Private, 219266, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +27, Private, 114967, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 344492, HS-grad, 9, Separated, Sales, Own-child, White, Female, 0, 0, 26, United-States, <=50K +22, Private, 369387, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +80, Self-emp-not-inc, 101771, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K +52, Private, 137428, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +40, Federal-gov, 121012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 48, United-States, >50K +48, Private, 139290, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Female, 0, 0, 48, United-States, <=50K +62, Private, 199193, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K +32, Private, 286689, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K +21, ?, 123727, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +58, Federal-gov, 208640, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Self-emp-not-inc, 120130, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +29, Self-emp-inc, 241431, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +25, Private, 120450, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 152240, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 200960, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Federal-gov, 314310, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Local-gov, 44566, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K +59, Private, 21792, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +36, Private, 182074, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 221850, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Ecuador, >50K +42, Private, 240628, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +34, Private, 318641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K +27, Self-emp-not-inc, 140863, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 129150, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Private, 143003, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 7298, 0, 60, India, >50K +34, Self-emp-not-inc, 198664, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 15024, 0, 70, South, >50K +41, Private, 244945, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 138514, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 92008, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 28, United-States, <=50K +23, Private, 207415, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 15, United-States, <=50K +26, Private, 188626, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +38, Private, 257250, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K +27, Private, 133696, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 88, United-States, <=50K +21, Private, 195919, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 40, Dominican-Republic, <=50K +41, Private, 119266, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 140474, Assoc-acdm, 12, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K +25, Private, 69739, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 293176, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 217961, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +40, Local-gov, 163725, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +23, Private, 419394, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 9, United-States, <=50K +18, Private, 220836, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 334291, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +58, Private, 298601, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 3781, 0, 40, United-States, <=50K +36, Private, 200360, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 203482, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 99126, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K +62, Private, 109190, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +34, Private, 34848, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 4064, 0, 40, United-States, <=50K +27, Private, 29732, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 36, United-States, <=50K +23, Private, 87867, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +55, Private, 123515, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 175935, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 229456, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 38, United-States, <=50K +44, Private, 184105, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 40, United-States, >50K +42, Local-gov, 99554, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 190227, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 29020, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K +31, Private, 306459, 1st-4th, 2, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, Honduras, <=50K +42, Private, 193995, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +26, Private, 105059, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +62, Private, 71751, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 98, United-States, >50K +28, Private, 176683, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 50, United-States, >50K +34, Private, 342709, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 53838, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Local-gov, 209482, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +44, Private, 214242, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +47, ?, 34458, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K +35, Private, 100375, Some-college, 10, Married-spouse-absent, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 149949, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 189762, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +46, Private, 79874, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 53, United-States, >50K +66, Self-emp-not-inc, 104576, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 8, United-States, >50K +34, State-gov, 355700, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 213625, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 204984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 144593, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +23, Private, 217169, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 184883, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +44, ?, 136419, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 57758, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K +54, Self-emp-not-inc, 30908, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +71, Private, 217971, 9th, 5, Widowed, Sales, Unmarried, White, Female, 0, 0, 13, United-States, <=50K +51, Private, 160703, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 142675, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +75, ?, 248833, HS-grad, 9, Married-AF-spouse, ?, Wife, White, Female, 2653, 0, 14, United-States, <=50K +57, Private, 171242, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +34, Private, 376979, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 175935, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K +21, Private, 277530, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 104501, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 94041, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, Ireland, <=50K +37, Local-gov, 593246, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +19, Private, 121074, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, <=50K +64, Private, 192596, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +17, Private, 142457, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +37, Private, 136028, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 216145, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 4650, 0, 45, United-States, <=50K +20, Private, 157894, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +39, Self-emp-not-inc, 164593, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K +18, Private, 252993, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Columbia, <=50K +42, Private, 145711, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K +43, Private, 358199, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K +42, Private, 219591, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K +53, Local-gov, 205005, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K +52, Private, 221936, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 120914, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +77, Self-emp-inc, 155761, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K +25, Private, 195914, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 3418, 0, 30, United-States, <=50K +38, Local-gov, 236687, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 318036, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 53306, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 174645, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 321817, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 206948, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Federal-gov, 402975, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K +72, ?, 289930, Bachelors, 13, Separated, ?, Not-in-family, White, Female, 991, 0, 7, United-States, <=50K +42, Private, 367049, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K +36, Private, 143486, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Self-emp-inc, 27187, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +24, Private, 187717, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 378104, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 113870, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K +42, Private, 252518, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +24, Private, 326334, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 279914, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Private, 320451, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +36, Private, 207853, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +78, Self-emp-inc, 237294, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +43, Private, 112181, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1902, 32, United-States, >50K +34, State-gov, 259705, Some-college, 10, Separated, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 117789, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 449432, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Federal-gov, 89083, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 59612, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +21, Private, 129980, 9th, 5, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 108233, Assoc-acdm, 12, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 342709, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 126675, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 141118, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 273701, Some-college, 10, Never-married, ?, Other-relative, Black, Male, 34095, 0, 10, United-States, <=50K +46, Private, 173243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Local-gov, 161092, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 209691, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K +36, Private, 89508, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 399522, 11th, 7, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, State-gov, 136939, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Local-gov, 264436, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 199572, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Federal-gov, 28291, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 215990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Self-emp-not-inc, 179594, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +61, Self-emp-inc, 139391, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 35, United-States, >50K +45, Private, 187370, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 7430, 0, 70, United-States, >50K +31, Private, 473133, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K +60, Self-emp-not-inc, 205246, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 2559, 50, United-States, >50K +26, Private, 182308, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 51662, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 289468, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 201954, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K +45, Self-emp-not-inc, 26781, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +58, Private, 100960, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 203761, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K +23, Private, 213811, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 124672, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 219300, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +22, Private, 270436, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 212619, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 193586, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3908, 0, 40, United-States, <=50K +40, Private, 84136, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K +55, Federal-gov, 264834, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, State-gov, 98995, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 278254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 167987, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 72887, Bachelors, 13, Married-spouse-absent, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +17, Private, 176467, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +51, Self-emp-not-inc, 85902, 10th, 6, Widowed, Transport-moving, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 223433, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Self-emp-inc, 108435, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 172496, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 241998, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 245948, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 2174, 0, 40, United-States, <=50K +23, Private, 187513, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 440138, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, England, <=50K +24, Private, 218215, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +50, Private, 158948, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K +34, Private, 94413, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 183598, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 192664, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 392812, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +21, Private, 155818, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 195000, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 308205, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +53, Private, 104879, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 152307, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 145964, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 97419, HS-grad, 9, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 40, United-States, <=50K +25, ?, 12285, Some-college, 10, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K +30, Private, 263150, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +49, ?, 189885, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 151888, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 254167, 10th, 6, Separated, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K +45, Local-gov, 331482, Assoc-acdm, 12, Divorced, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, Local-gov, 177189, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K +35, Private, 186886, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +20, Private, 33221, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +27, Private, 188171, 10th, 6, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 60, United-States, <=50K +23, Private, 209770, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 164488, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K +65, Local-gov, 180869, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +25, Private, 190350, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Private, 137192, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1977, 50, South, >50K +45, Private, 204057, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K +46, Private, 198774, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 323, 45, United-States, <=50K +67, Private, 134906, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +40, Private, 174515, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 259363, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +44, Self-emp-not-inc, 201742, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K +35, Private, 209609, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 185127, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 462838, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +37, Private, 176967, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +54, Private, 284129, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Federal-gov, 37546, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +46, Private, 116666, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 120724, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 40, United-States, <=50K +27, Private, 314240, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +49, Private, 423222, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +51, Private, 201127, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 202239, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 209629, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 165922, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +24, Private, 133520, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +66, ?, 99888, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 176410, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K +35, Federal-gov, 103214, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 60, United-States, >50K +34, Private, 122612, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 7688, 0, 50, Philippines, >50K +50, Private, 226735, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 70, United-States, >50K +43, Self-emp-inc, 151089, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 244312, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, El-Salvador, <=50K +33, Private, 209317, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, El-Salvador, <=50K +48, Private, 99096, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1590, 38, United-States, <=50K +22, Private, 374116, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 36, United-States, <=50K +29, Private, 205249, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K +42, Self-emp-not-inc, 326083, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 183523, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Hungary, <=50K +36, Private, 350783, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +66, Local-gov, 140849, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 175943, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, <=50K +45, Local-gov, 125933, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Private, 225124, HS-grad, 9, Divorced, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 272090, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, El-Salvador, <=50K +48, Private, 40666, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 35245, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 167482, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 204662, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +32, Private, 291147, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 179869, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Self-emp-not-inc, 205100, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 352139, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 29, United-States, <=50K +39, Private, 111268, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 247111, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 271446, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +29, Local-gov, 132412, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-inc, 74712, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +22, Private, 94662, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +44, Self-emp-inc, 33126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K +43, Private, 133584, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 103759, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3942, 0, 40, United-States, <=50K +63, ?, 64448, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 374367, Assoc-voc, 11, Separated, Sales, Not-in-family, Black, Male, 0, 0, 44, United-States, <=50K +40, Private, 179666, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, Canada, <=50K +18, Private, 99219, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +57, Self-emp-inc, 180211, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, >50K +54, Local-gov, 219276, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +44, Private, 150011, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 231231, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +40, Private, 182217, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Scotland, <=50K +29, Private, 277342, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 140001, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 99651, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K +45, Private, 223319, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K +52, Private, 235307, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 206343, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 40, Cuba, <=50K +51, Local-gov, 156003, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 529223, Bachelors, 13, Never-married, Sales, Own-child, Black, Male, 0, 0, 10, United-States, <=50K +22, Private, 202871, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, United-States, <=50K +37, Private, 58337, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +58, Federal-gov, 298643, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +61, Private, 191188, 10th, 6, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +30, Private, 96287, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +23, Private, 104443, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 323054, 10th, 6, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +18, Private, 95917, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, Canada, <=50K +34, Private, 238305, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1628, 12, ?, <=50K +23, Private, 49296, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 50953, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 10, United-States, <=50K +57, Private, 124507, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +58, Private, 239523, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +59, Self-emp-not-inc, 309124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 240172, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 105010, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K +44, Local-gov, 135056, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 16, ?, <=50K +25, Private, 178478, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 23871, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +22, Private, 362309, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 257781, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 1719, 30, United-States, <=50K +44, Private, 175669, 11th, 7, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5178, 0, 36, United-States, >50K +50, Private, 297906, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K +44, Private, 230684, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, ?, 123011, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 170866, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +54, Local-gov, 182543, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +60, Self-emp-not-inc, 236470, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 33725, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 188941, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 3908, 0, 40, United-States, <=50K +43, Private, 206878, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +33, Local-gov, 173806, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 190709, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +41, Private, 149102, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K +21, Private, 25265, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 100669, Some-college, 10, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-inc, 114158, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 228057, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 54012, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Federal-gov, 219967, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 239865, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, State-gov, 119421, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K +56, Self-emp-not-inc, 220187, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Local-gov, 33068, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K +41, Self-emp-not-inc, 277783, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2001, 50, United-States, <=50K +42, Private, 175515, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Local-gov, 271795, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 70055, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 352806, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +57, Private, 266189, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +49, Private, 102945, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 173851, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 144092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 198681, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K +33, Private, 351810, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K +52, Private, 180142, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Self-emp-inc, 175360, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Self-emp-inc, 224498, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Self-emp-inc, 154641, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +54, Local-gov, 152540, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 42, United-States, <=50K +52, Private, 217663, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +22, Local-gov, 138575, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 56, United-States, <=50K +19, ?, 32477, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +65, Private, 101104, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 10, United-States, >50K +32, Private, 44677, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 456618, 7th-8th, 4, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K +34, Private, 227282, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 27624, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +24, Private, 281403, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 98, United-States, <=50K +63, Federal-gov, 39181, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2559, 60, United-States, >50K +48, Private, 377140, 5th-6th, 3, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 35, Nicaragua, <=50K +26, Private, 299810, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +28, Private, 181916, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 237044, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 12, United-States, <=50K +57, Self-emp-inc, 123053, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 50, India, >50K +64, State-gov, 269512, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 44767, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, >50K +28, Private, 67218, 7th-8th, 4, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 176992, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 43712, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K +44, Private, 379919, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +34, Private, 104509, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 1639, 0, 20, United-States, <=50K +18, Private, 212370, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K +36, Private, 179666, 12th, 8, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K +73, Self-emp-not-inc, 233882, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 2457, 40, Vietnam, <=50K +24, Private, 197387, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +29, Local-gov, 220656, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +33, Private, 181091, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Federal-gov, 135028, HS-grad, 9, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +41, Private, 185057, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, ?, <=50K +55, Private, 106498, 10th, 6, Widowed, Transport-moving, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +21, Private, 203003, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 223789, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Private, 184026, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Other, Male, 0, 0, 50, United-States, <=50K +32, ?, 335427, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K +40, Private, 65866, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 213, 40, United-States, <=50K +32, Private, 372692, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 45607, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, State-gov, 303176, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2179, 40, United-States, <=50K +29, Private, 138190, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 1138, 40, United-States, <=50K +29, Self-emp-not-inc, 212895, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +59, Self-emp-inc, 31359, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 80, United-States, >50K +58, Private, 147989, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 145290, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +44, Private, 262684, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1504, 45, United-States, <=50K +31, Private, 132601, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 30759, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +19, Private, 319889, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +66, Private, 29431, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 111483, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 184756, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +31, Private, 651396, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 1594, 30, United-States, <=50K +30, Private, 187560, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 84848, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +75, ?, 36243, Doctorate, 16, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, State-gov, 88913, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 36, United-States, <=50K +19, Private, 73190, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +60, Private, 132529, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 214542, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 217006, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 169785, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +30, Private, 75573, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, Germany, <=50K +37, Private, 239171, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 53566, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +20, Private, 117109, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 24, United-States, <=50K +32, Private, 398019, 7th-8th, 4, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 15, Mexico, <=50K +18, Private, 114008, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +24, Private, 204653, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Local-gov, 254935, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K +76, ?, 84755, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +57, Local-gov, 198145, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 14, United-States, >50K +53, Private, 174020, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1876, 38, United-States, <=50K +19, Private, 451951, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Local-gov, 172175, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 209472, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 336707, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +26, ?, 431861, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-inc, 156728, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +39, Federal-gov, 290321, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +49, State-gov, 206577, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 149324, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 7, United-States, <=50K +33, ?, 49593, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 30, United-States, <=50K +50, Private, 98975, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +28, Private, 181659, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 174789, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 102308, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +39, Private, 184801, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 176014, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 256861, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K +37, Private, 239397, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +26, Private, 233777, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 236520, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 70754, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 245378, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +26, Private, 176729, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +32, Private, 154120, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K +43, Private, 88913, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female, 1055, 0, 40, United-States, <=50K +19, Private, 517036, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K +38, Private, 436361, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K +38, Private, 231037, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K +65, Private, 209831, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +70, Self-emp-not-inc, 143833, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 40, United-States, >50K +48, ?, 167381, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 215468, Bachelors, 13, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 7, United-States, <=50K +32, Private, 200700, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Local-gov, 191777, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +49, Federal-gov, 195437, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 149396, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 104746, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 16, United-States, <=50K +19, Private, 108147, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +27, Private, 238859, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 23157, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +38, Private, 497788, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +42, Private, 141558, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Federal-gov, 117963, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K +30, Private, 232356, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 157941, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 103642, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 169727, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 274731, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 161572, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K +38, Private, 48779, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 141511, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 314153, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K +30, Private, 168334, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K +42, Local-gov, 267252, Masters, 14, Separated, Exec-managerial, Unmarried, Black, Male, 0, 0, 45, United-States, >50K +31, Self-emp-not-inc, 312055, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +32, Private, 207937, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 232653, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 246841, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 154087, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 199011, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +51, Self-emp-not-inc, 205100, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K +36, Private, 177907, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 2176, 0, 20, ?, <=50K +24, Private, 50400, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 97064, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +21, Private, 65038, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 292472, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 1876, 45, Cambodia, <=50K +17, Private, 225211, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +45, Private, 320192, 1st-4th, 2, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +39, State-gov, 119421, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 625, 35, United-States, <=50K +21, Private, 83580, Some-college, 10, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 4, United-States, <=50K +29, Private, 133696, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K +39, Private, 141584, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K +42, Private, 529216, HS-grad, 9, Separated, Transport-moving, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 390817, 5th-6th, 3, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +21, ?, 85733, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 155976, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 221172, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +45, Private, 270842, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 82622, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +58, Private, 371064, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K +45, Private, 54744, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K +29, Private, 22641, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K +21, Private, 218957, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K +51, Private, 441637, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 143699, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 183096, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +45, Private, 97176, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 16, United-States, <=50K +38, Self-emp-not-inc, 122493, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K +22, Private, 311376, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 78928, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 3137, 0, 40, United-States, <=50K +62, Private, 123582, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Federal-gov, 174215, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +36, Private, 183902, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 4, United-States, >50K +43, Private, 247880, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 256636, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, ?, 152875, Bachelors, 13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K +28, Private, 22422, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +49, ?, 178215, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 28, United-States, <=50K +47, Local-gov, 194360, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 7, United-States, >50K +59, Private, 247187, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 63921, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 224889, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 178564, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 47619, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 92775, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +37, Private, 50837, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +20, Local-gov, 235894, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 244974, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +20, Local-gov, 526734, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +38, Self-emp-not-inc, 243484, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 28, United-States, >50K +23, Private, 201664, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 234640, HS-grad, 9, Married-spouse-absent, Sales, Own-child, White, Female, 0, 0, 36, United-States, <=50K +46, Private, 268022, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Local-gov, 223267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Self-emp-not-inc, 99199, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 137076, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 115411, Some-college, 10, Divorced, Sales, Own-child, White, Male, 2174, 0, 45, United-States, <=50K +51, Private, 313146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +69, Self-emp-not-inc, 29980, 7th-8th, 4, Never-married, Farming-fishing, Other-relative, White, Male, 1848, 0, 10, United-States, <=50K +39, Self-emp-inc, 543042, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 50, United-States, >50K +43, Private, 271807, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Federal-gov, 97934, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 5178, 0, 40, United-States, >50K +43, Private, 191196, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 264627, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 84, United-States, <=50K +32, Private, 183801, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 209227, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 21, United-States, <=50K +64, Private, 216208, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 377095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 317535, 1st-4th, 2, Married-civ-spouse, Protective-serv, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +40, Private, 247880, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 152246, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +23, Private, 428299, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 161708, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 167859, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +61, Private, 85194, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, United-States, <=50K +47, Self-emp-inc, 119471, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, Other, Male, 0, 0, 40, ?, <=50K +39, Private, 117683, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +51, Private, 139347, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K +25, Private, 427744, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 122116, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +34, State-gov, 227931, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +54, Self-emp-not-inc, 226497, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 83783, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 197113, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Other, Male, 0, 0, 50, Puerto-Rico, <=50K +33, Private, 204742, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +63, ?, 331527, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 14, United-States, <=50K +31, Private, 213179, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +70, Self-emp-inc, 188260, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K +43, Private, 298161, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Nicaragua, <=50K +36, Private, 143774, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 12, United-States, >50K +50, Local-gov, 139296, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 152389, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +31, Private, 309974, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +19, ?, 37085, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +39, Private, 270059, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +29, Private, 130045, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 188038, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 168203, 7th-8th, 4, Never-married, Farming-fishing, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K +46, Private, 171807, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +62, Private, 186696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 177531, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 23, United-States, <=50K +28, Private, 115464, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 501144, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +61, Local-gov, 180079, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4064, 0, 40, United-States, <=50K +18, Private, 205894, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, ?, <=50K +39, Self-emp-not-inc, 218490, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 50, ?, >50K +24, Local-gov, 203924, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 91857, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K +38, Private, 229700, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +17, Private, 158704, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +28, Private, 190911, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 139176, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K +61, Private, 119684, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 20, United-States, >50K +69, Private, 124930, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2267, 40, United-States, <=50K +19, Private, 168693, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +26, Private, 250038, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Self-emp-inc, 353927, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +70, Private, 216390, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 2653, 0, 40, United-States, <=50K +21, Private, 230248, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +43, Private, 117728, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +52, Private, 115851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 193335, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 203894, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +53, Self-emp-not-inc, 100109, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +55, State-gov, 157639, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Self-emp-inc, 235320, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +36, Private, 127686, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +39, Private, 28572, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 48, United-States, <=50K +78, ?, 91534, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K +30, Private, 184687, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K +22, Private, 267945, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K +43, Private, 131899, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 192614, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +36, Private, 186808, Bachelors, 13, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K +50, Private, 44116, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Federal-gov, 46442, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +46, Federal-gov, 78022, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 417668, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 223763, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 223851, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 24, United-States, <=50K +38, Local-gov, 115634, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 114459, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 197093, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K +31, Self-emp-not-inc, 357145, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 48, United-States, <=50K +29, Private, 59231, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K +26, Private, 292303, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 122288, Some-college, 10, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +26, Federal-gov, 52322, Bachelors, 13, Never-married, Tech-support, Not-in-family, Other, Male, 0, 0, 60, United-States, <=50K +27, Local-gov, 105830, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +36, Private, 107125, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Federal-gov, 281860, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 283320, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, State-gov, 26598, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 220783, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +21, ?, 121694, 7th-8th, 4, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 208302, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 34, United-States, <=50K +34, Local-gov, 172664, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 54611, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +64, Private, 631947, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 394484, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, ?, 239120, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K +38, Federal-gov, 37683, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 99999, 0, 57, Canada, >50K +47, Local-gov, 193012, Masters, 14, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K +48, Private, 143098, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, China, >50K +57, Private, 84888, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 188503, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +37, Private, 337778, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 94432, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, >50K +32, Private, 168906, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 116143, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 128272, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 14, United-States, <=50K +64, Federal-gov, 301383, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 45, United-States, >50K +46, Private, 174995, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +24, State-gov, 289909, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 154641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +23, Private, 209034, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 3942, 0, 40, United-States, <=50K +30, Private, 203488, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +34, Private, 141118, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, >50K +30, Private, 169589, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 137645, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +58, Local-gov, 489085, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 36302, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 253420, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +35, Private, 269300, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 282609, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, Honduras, <=50K +46, Private, 346978, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +71, Private, 182395, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 11678, 0, 45, United-States, >50K +44, Private, 205051, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 128736, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 236110, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K +38, Private, 312271, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 126978, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K +47, Private, 204692, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 195956, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +59, State-gov, 202682, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 231912, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K +44, Local-gov, 24982, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +76, Private, 278938, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +50, Local-gov, 36489, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Local-gov, 154874, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 74581, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +27, Private, 311446, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 5178, 0, 40, United-States, >50K +37, Self-emp-inc, 162164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 239708, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +49, Self-emp-not-inc, 162856, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 85109, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +49, Private, 169042, HS-grad, 9, Separated, Prof-specialty, Unmarried, White, Female, 0, 625, 40, Puerto-Rico, <=50K +22, Private, 436798, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 345363, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, England, <=50K +36, Private, 49837, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, ?, 296516, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, State-gov, 180283, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +40, Local-gov, 95639, HS-grad, 9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +42, Private, 33155, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +56, Private, 329059, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, >50K +55, Private, 24694, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 443855, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +52, ?, 294691, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 301867, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K +55, Private, 226875, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K +47, Private, 362835, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 180339, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 65, United-States, <=50K +55, Self-emp-inc, 207489, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, Germany, <=50K +43, Private, 336643, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +31, Private, 143653, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +62, State-gov, 101475, Assoc-acdm, 12, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Local-gov, 263871, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 8, United-States, <=50K +38, Self-emp-not-inc, 77820, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 95465, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +26, Private, 257910, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +26, Private, 244372, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 52, United-States, >50K +37, Self-emp-not-inc, 126738, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K +79, Self-emp-inc, 97082, 12th, 8, Widowed, Sales, Not-in-family, White, Male, 18481, 0, 45, United-States, >50K +61, Private, 133164, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +28, Self-emp-not-inc, 104617, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Female, 0, 0, 99, Mexico, <=50K +60, Self-emp-inc, 105339, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K +51, Self-emp-inc, 258735, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 81, United-States, <=50K +34, Private, 182926, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K +35, Private, 166193, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Local-gov, 206125, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, Private, 346594, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 108301, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 73498, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 129150, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, >50K +27, Private, 181280, Masters, 14, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K +40, Private, 146908, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +43, Private, 183765, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, ?, >50K +25, Private, 164488, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 307468, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 93884, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Private, 279833, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2258, 45, United-States, >50K +52, Private, 137658, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K +32, Private, 101562, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +33, Private, 136331, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 259846, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +48, Private, 98719, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +62, Self-emp-not-inc, 168682, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 5, United-States, <=50K +40, Self-emp-not-inc, 198953, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 2, United-States, <=50K +41, ?, 29115, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +28, Private, 173673, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +23, Private, 67958, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +50, Federal-gov, 98980, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +51, State-gov, 94174, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +63, Self-emp-not-inc, 122442, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K +63, Federal-gov, 154675, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 116632, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +20, ?, 238685, 11th, 7, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, ?, 139391, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 99999, 0, 30, United-States, >50K +40, Private, 169031, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 237452, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, Cuba, >50K +41, Private, 216968, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +27, ?, 216479, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 24, United-States, >50K +20, State-gov, 126822, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K +28, Private, 51461, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K +35, Private, 54953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 222654, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 37676, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +57, Private, 159319, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 125321, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 209609, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 224947, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 438427, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +26, Self-emp-not-inc, 384276, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 196805, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 65, United-States, <=50K +27, Private, 242097, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 184306, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +45, Private, 161954, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K +65, Private, 258561, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +57, Self-emp-not-inc, 95280, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 45, United-States, >50K +59, Private, 212783, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +18, Private, 205004, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 26, United-States, <=50K +44, Local-gov, 387844, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 83880, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 161155, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 265698, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +59, Self-emp-inc, 146477, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 97261, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 437890, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Male, 0, 0, 90, United-States, <=50K +68, Self-emp-not-inc, 133736, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K +63, Private, 169983, 11th, 7, Widowed, Sales, Not-in-family, White, Female, 2176, 0, 30, United-States, <=50K +37, Private, 126675, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, <=50K +46, Local-gov, 175754, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 60, United-States, <=50K +31, Private, 121768, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Poland, <=50K +23, Private, 180052, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 124454, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +49, Private, 190115, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 44, United-States, <=50K +36, Private, 222584, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 22245, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +46, Local-gov, 114160, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K +24, Private, 228960, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 132572, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 103020, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Puerto-Rico, <=50K +40, Private, 187802, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1887, 40, United-States, >50K +31, Local-gov, 50649, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +42, Private, 137698, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K +48, Self-emp-inc, 30575, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K +56, Private, 202220, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +50, Private, 50178, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 207791, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +21, Private, 540712, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 1719, 25, United-States, <=50K +50, Private, 321770, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 202053, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +34, Private, 143699, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K +32, Self-emp-not-inc, 115066, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +28, Private, 223751, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Self-emp-inc, 354075, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 32732, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +24, State-gov, 390867, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 101697, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 279721, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 223400, Assoc-acdm, 12, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 35, Poland, <=50K +46, ?, 206357, 5th-6th, 3, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K +39, Private, 76417, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +48, ?, 184682, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 18, United-States, <=50K +21, Private, 78170, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +39, Private, 201410, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 189013, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 119913, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 549174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Local-gov, 214706, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, ?, 33811, Bachelors, 13, Married-civ-spouse, ?, Wife, Other, Female, 0, 0, 40, Taiwan, >50K +43, Private, 234220, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Cuba, <=50K +22, Private, 237720, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 185942, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K +69, Local-gov, 286983, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 140027, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +18, ?, 115258, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K +54, Private, 155408, HS-grad, 9, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +65, ?, 117963, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K +28, Private, 158737, 12th, 8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 40, Ecuador, <=50K +27, Local-gov, 199471, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 38, United-States, <=50K +35, Private, 287701, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, >50K +38, Private, 137707, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +33, State-gov, 108116, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 366900, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 187355, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, Canada, >50K +38, Private, 33105, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 70, United-States, >50K +51, Self-emp-not-inc, 268639, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 2057, 60, Canada, <=50K +26, Private, 358975, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, Hungary, <=50K +33, Private, 199227, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +44, Private, 248249, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 460437, 9th, 5, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 187294, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 115932, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 181762, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 55, United-States, >50K +21, Private, 27049, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 806552, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Private, 150755, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, Canada, >50K +62, Private, 69867, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K +27, Private, 160786, 11th, 7, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Germany, <=50K +38, Private, 219546, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Private, 24872, Some-college, 10, Separated, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 30, United-States, <=50K +24, Private, 110371, 12th, 8, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +24, ?, 376474, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 304602, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, ?, 143699, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 238917, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 24, Mexico, <=50K +51, Private, 200618, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 183043, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K +42, Local-gov, 209752, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +48, ?, 175653, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K +49, Private, 196707, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 43, United-States, >50K +37, Local-gov, 98725, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 42, United-States, <=50K +37, Self-emp-not-inc, 180150, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +66, Private, 151227, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +18, ?, 118847, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 24, United-States, <=50K +46, Private, 282538, Assoc-voc, 11, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 89534, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 291011, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 166187, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, >50K +19, Private, 188669, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +37, Private, 178948, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +42, Self-emp-inc, 188738, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, Italy, >50K +39, Self-emp-not-inc, 160808, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +54, Private, 93605, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K +46, Private, 318331, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, ?, 109921, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +33, Private, 87605, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +69, Self-emp-not-inc, 89477, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K +21, Private, 48301, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 220748, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 48, United-States, <=50K +39, Private, 387068, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 250743, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 78258, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +42, Private, 31387, Doctorate, 16, Married-spouse-absent, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +36, Private, 289190, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 604537, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +35, Private, 328466, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +42, Private, 403187, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 219546, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 44, United-States, >50K +41, Private, 220531, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 204648, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 201908, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +44, ?, 109912, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 16, United-States, >50K +18, Private, 365683, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K +41, Private, 175674, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 203488, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 106406, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 172756, 1st-4th, 2, Widowed, Machine-op-inspct, Not-in-family, White, Female, 2062, 0, 34, Ecuador, <=50K +37, Private, 125167, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +51, Private, 249339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 94652, Some-college, 10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +40, Private, 195394, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +25, Private, 130302, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 66686, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 336042, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 193586, Some-college, 10, Separated, Farming-fishing, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 325461, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +60, Local-gov, 313852, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +38, Local-gov, 30509, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 55, United-States, <=50K +21, Local-gov, 32639, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +18, Private, 234953, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +49, Private, 120629, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 27828, 0, 60, United-States, >50K +43, Private, 350379, 5th-6th, 3, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +26, ?, 176967, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +36, Private, 36423, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, >50K +31, Private, 123397, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 5178, 0, 35, United-States, >50K +38, Private, 130813, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 35236, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K +58, Private, 33350, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +55, Private, 177380, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 29, United-States, <=50K +39, Private, 216129, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, Jamaica, <=50K +38, Private, 335104, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +54, Self-emp-not-inc, 199741, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 2001, 35, United-States, <=50K +57, Self-emp-inc, 165881, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 387777, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K +44, Self-emp-not-inc, 149943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Taiwan, >50K +36, Private, 188834, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 290661, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 155603, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 2205, 40, United-States, <=50K +25, Private, 114838, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, Italy, <=50K +54, Local-gov, 168553, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 103064, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 123833, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +60, Federal-gov, 55621, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +66, Local-gov, 189834, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +36, Private, 217926, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 50, United-States, <=50K +29, Self-emp-not-inc, 341672, HS-grad, 9, Married-spouse-absent, Transport-moving, Other-relative, Asian-Pac-Islander, Male, 0, 1564, 50, India, >50K +29, Private, 163003, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 2202, 0, 40, Taiwan, <=50K +25, Private, 194352, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +62, ?, 54878, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +23, Private, 393248, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 279315, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 392812, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Self-emp-inc, 34998, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +57, Self-emp-inc, 51016, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +57, Local-gov, 132717, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 186078, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +37, Self-emp-inc, 196123, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +43, Self-emp-inc, 304906, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Private, 41521, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +40, Private, 346847, Assoc-voc, 11, Separated, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 107233, HS-grad, 9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +39, Private, 150125, Assoc-acdm, 12, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 400535, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 409622, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 36, Mexico, <=50K +27, Private, 136448, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 202950, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Iran, <=50K +40, Local-gov, 197012, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 8614, 0, 40, England, >50K +57, Private, 237691, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +24, Private, 170277, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 160784, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +28, Private, 33798, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 197838, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 223212, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 125762, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K +20, Private, 283969, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 15, United-States, <=50K +25, Private, 374163, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 60, Mexico, <=50K +49, State-gov, 118567, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 147655, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +45, Private, 82797, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +36, Local-gov, 142573, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Private, 235167, 5th-6th, 3, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female, 0, 0, 32, Mexico, <=50K +23, Private, 53245, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1602, 12, United-States, <=50K +47, Private, 28035, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Private, 247082, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 123397, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Local-gov, 133327, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 102270, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +64, ?, 45817, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 240988, 9th, 5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +19, Private, 386378, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +31, State-gov, 350651, 12th, 8, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +18, State-gov, 76142, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K +68, Private, 73773, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +50, ?, 281504, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 293358, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K +44, Private, 146906, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +58, Self-emp-not-inc, 331474, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +20, Private, 213719, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +18, Private, 101795, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 228265, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K +49, Self-emp-not-inc, 130206, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 324254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 223019, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 189666, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 139086, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 359327, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, <=50K +44, Self-emp-not-inc, 75065, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Vietnam, <=50K +55, Private, 139843, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +21, Private, 34310, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2603, 40, United-States, <=50K +54, Private, 346014, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K +39, Local-gov, 163278, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 2202, 0, 44, United-States, <=50K +52, Private, 31460, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +57, Self-emp-inc, 33725, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +67, ?, 63552, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +58, State-gov, 300623, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Local-gov, 177072, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 16, United-States, <=50K +66, ?, 37331, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K +41, Private, 167725, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 131180, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 16, United-States, <=50K +58, Private, 275859, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 8614, 0, 52, Mexico, >50K +50, Private, 275181, 5th-6th, 3, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 37, Cuba, <=50K +31, Private, 398988, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 222654, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 111129, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +26, Self-emp-not-inc, 137795, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +33, Local-gov, 242150, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, State-gov, 237873, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 367749, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K +26, Private, 206600, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +48, Federal-gov, 247043, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 187702, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 41718, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +37, Private, 151835, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +18, Private, 118938, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K +48, Private, 224870, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, Other, Female, 0, 0, 38, Ecuador, <=50K +45, Private, 178341, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 61343, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 36989, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 226296, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 51, United-States, <=50K +29, Private, 186624, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Cuba, <=50K +19, Private, 172582, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +53, State-gov, 227392, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K +49, Private, 187563, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +71, Private, 137499, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 16, United-States, <=50K +38, Private, 239397, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, Mexico, <=50K +39, Local-gov, 327164, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 140798, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Self-emp-inc, 187450, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 194580, 5th-6th, 3, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 372682, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +20, Private, 235442, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +30, Private, 128065, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K +56, Private, 91545, 10th, 6, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K +26, Private, 154604, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Federal-gov, 192150, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Local-gov, 216522, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 42, United-States, <=50K +58, Private, 156040, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1848, 40, United-States, >50K +24, Private, 206861, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 97632, Some-college, 10, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 32, United-States, <=50K +27, Private, 189530, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +28, State-gov, 381789, Some-college, 10, Separated, Exec-managerial, Own-child, White, Male, 0, 2339, 40, United-States, <=50K +57, Self-emp-inc, 368797, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, State-gov, 41183, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +50, Private, 191062, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 132963, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +58, Private, 153551, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +27, Self-emp-not-inc, 66473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 240323, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 17, United-States, <=50K +68, Local-gov, 242095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 40, United-States, >50K +33, Self-emp-inc, 128016, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 29526, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 18, United-States, <=50K +26, Private, 342953, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 215476, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +53, Private, 231919, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 52537, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K +18, Private, 27920, 11th, 7, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 25, United-States, <=50K +53, Private, 153052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 199303, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 233369, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 345789, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K +60, Private, 238913, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 46, United-States, >50K +28, Self-emp-not-inc, 195607, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 245173, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 1669, 45, United-States, <=50K +37, Private, 138441, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 67467, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 102569, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K +21, Private, 213341, 11th, 7, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male, 0, 1762, 40, Dominican-Republic, <=50K +26, Private, 37202, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +47, Private, 140219, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 298860, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +22, Private, 51362, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +36, Private, 199947, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K +59, Self-emp-not-inc, 32552, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +33, Private, 183845, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, El-Salvador, <=50K +33, Private, 181091, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, England, <=50K +53, Self-emp-inc, 135643, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K +44, State-gov, 96249, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 40, United-States, <=50K +55, Private, 181220, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +56, Private, 133025, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +54, Self-emp-not-inc, 124865, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +51, Private, 45599, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 194293, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 2463, 0, 38, United-States, <=50K +43, Private, 102180, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Private, 121130, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 138768, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K +43, State-gov, 98989, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +26, State-gov, 126327, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 113364, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K +30, Private, 326199, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2580, 0, 40, United-States, <=50K +46, Private, 376789, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +27, Private, 137063, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 279145, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 178815, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +25, Self-emp-not-inc, 245369, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +30, Federal-gov, 49593, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +46, State-gov, 238648, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 7298, 0, 40, United-States, >50K +47, Private, 166181, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 48, United-States, >50K +66, Self-emp-inc, 249043, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 5556, 0, 26, United-States, >50K +43, Private, 156403, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +71, ?, 128529, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +36, Federal-gov, 186934, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1848, 55, United-States, >50K +46, ?, 148489, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +44, Local-gov, 387770, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +42, Private, 115511, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 201410, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1977, 45, Philippines, >50K +36, Private, 220585, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +60, Self-emp-not-inc, 282066, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K +37, Private, 280966, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 291586, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 142227, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +17, ?, 104025, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 18, United-States, <=50K +45, Local-gov, 148254, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +54, Private, 170562, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +22, Private, 222490, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +63, Local-gov, 57674, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K +22, Private, 233624, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K +27, Private, 42734, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +33, Private, 233107, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 33, Mexico, <=50K +64, Private, 143110, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +50, Private, 195844, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Self-emp-not-inc, 115896, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 303851, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 172475, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +53, Self-emp-not-inc, 30008, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +33, Local-gov, 147921, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Federal-gov, 172716, 12th, 8, Married-civ-spouse, Armed-Forces, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 155057, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +43, ?, 152569, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 2339, 36, United-States, <=50K +80, Self-emp-not-inc, 132728, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 195136, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +40, Private, 377322, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +53, Local-gov, 293941, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 182123, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K +38, Private, 32528, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 140206, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Local-gov, 378221, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Mexico, >50K +23, Private, 211601, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 119411, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +52, Self-emp-not-inc, 240013, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K +24, Private, 95552, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 183710, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 189382, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +52, Private, 380633, 5th-6th, 3, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +54, Private, 53407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 150480, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +40, Private, 175674, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 375313, HS-grad, 9, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K +21, ?, 278391, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K +23, Private, 212888, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-inc, 487085, 7th-8th, 4, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 174461, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +55, Local-gov, 133201, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +71, Private, 77253, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 17, United-States, <=50K +47, Private, 141511, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +17, Self-emp-inc, 181608, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 12, United-States, <=50K +31, Private, 127610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +32, Private, 154571, Some-college, 10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +46, Private, 33842, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 40, United-States, >50K +27, Private, 150080, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Federal-gov, 30916, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +40, Private, 151294, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +30, Private, 48829, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 1602, 30, United-States, <=50K +17, Private, 193769, 9th, 5, Never-married, Other-service, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +33, Private, 277455, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +72, Private, 225780, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +34, Federal-gov, 436341, Some-college, 10, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +65, Private, 255386, HS-grad, 9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K +36, Private, 174938, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K +32, Private, 174789, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 245628, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +22, Private, 228752, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 354148, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 48, United-States, >50K +31, Private, 192900, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 190391, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 353263, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, Italy, >50K +34, Private, 113198, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 28, United-States, <=50K +44, Private, 207578, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +27, Private, 93206, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 163998, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, >50K +47, Private, 111961, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K +20, Private, 219122, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 111445, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +29, Federal-gov, 309778, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Local-gov, 223020, Assoc-voc, 11, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +42, Private, 303155, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 41035, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +68, Private, 159191, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Local-gov, 244408, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +72, Self-emp-not-inc, 473748, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +45, Federal-gov, 71823, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 20, United-States, <=50K +30, Local-gov, 83066, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 150154, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 190786, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 178033, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 4416, 0, 60, United-States, <=50K +25, Self-emp-not-inc, 159909, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 190885, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K +25, Private, 243786, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +31, State-gov, 124020, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 159016, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K +37, Private, 183800, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Self-emp-not-inc, 193434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 245029, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +55, Private, 98746, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, Canada, >50K +46, Federal-gov, 140664, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +44, Private, 344920, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1617, 20, United-States, <=50K +44, Private, 169980, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 60, United-States, <=50K +28, State-gov, 155397, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +42, Private, 245317, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 74182, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 280570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +64, Self-emp-not-inc, 30664, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 109952, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +45, Local-gov, 192793, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 243442, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Federal-gov, 106297, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 328060, 9th, 5, Separated, Other-service, Unmarried, Other, Female, 0, 0, 40, Mexico, <=50K +33, Self-emp-not-inc, 48702, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K +51, Self-emp-not-inc, 111283, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 99999, 0, 35, United-States, >50K +36, Private, 484024, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 208470, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 172032, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 51, United-States, >50K +40, Private, 29927, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, England, <=50K +46, Private, 98012, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 108468, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +30, Private, 207301, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K +26, Private, 168403, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 66935, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 42044, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 184806, Prof-school, 15, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 1455435, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 445382, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 278576, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K +79, Self-emp-not-inc, 84979, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K +36, Private, 659504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K +44, Private, 136986, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 278107, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1573, 30, United-States, <=50K +27, Private, 96219, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +46, Self-emp-not-inc, 131091, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +58, Private, 205410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 416745, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +36, Private, 180667, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 60, United-States, >50K +21, Private, 72119, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +41, State-gov, 108945, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K +49, Federal-gov, 195949, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 101345, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +29, Private, 439263, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, Peru, <=50K +63, Private, 213095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Federal-gov, 59932, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 172815, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 40915, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +42, Private, 139012, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K +44, Private, 121781, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 37, United-States, <=50K +51, ?, 130667, HS-grad, 9, Separated, ?, Not-in-family, Black, Male, 0, 0, 6, United-States, <=50K +41, Self-emp-not-inc, 147110, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 25, United-States, <=50K +22, Local-gov, 237811, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, Haiti, <=50K +36, ?, 128640, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K +18, Private, 111476, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Local-gov, 289716, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 141944, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +49, Private, 323773, 11th, 7, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +41, State-gov, 176663, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 155233, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 143327, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Federal-gov, 177212, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 123088, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Local-gov, 47085, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 102106, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 235894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +71, Self-emp-not-inc, 172046, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, Self-emp-not-inc, 197207, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +26, Private, 152452, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 172928, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K +36, ?, 214896, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +49, Private, 116338, HS-grad, 9, Separated, Prof-specialty, Unmarried, White, Female, 0, 653, 60, United-States, <=50K +48, Private, 276664, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K +22, Private, 59924, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 194141, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1617, 40, United-States, <=50K +51, Private, 95128, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 292504, Some-college, 10, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 45796, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +42, Private, 119359, Prof-school, 15, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female, 15024, 0, 40, South, >50K +52, State-gov, 104280, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Private, 172291, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 180988, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 39, United-States, <=50K +52, Private, 110748, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +59, ?, 556688, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +36, Private, 22494, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 267859, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, >50K +67, Local-gov, 256821, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K +31, Self-emp-not-inc, 117346, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +31, Private, 62374, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 314659, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +72, ?, 114761, 7th-8th, 4, Widowed, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +36, Private, 93225, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 165315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K +56, Private, 124771, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 27408, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 198841, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 271792, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 64289, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 183390, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 240771, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 50, United-States, >50K +30, Private, 234919, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K +20, Private, 88231, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 154422, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +37, Private, 119098, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +53, State-gov, 151580, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 40, United-States, >50K +54, Private, 118793, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, ?, 30499, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +34, ?, 166545, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 7688, 0, 6, United-States, >50K +30, Private, 271710, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K +43, State-gov, 308498, HS-grad, 9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 172695, Assoc-voc, 11, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 29962, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +62, Private, 200332, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 291702, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 67234, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 168038, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 32, United-States, <=50K +34, Private, 137814, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +64, Private, 126233, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +42, Self-emp-not-inc, 79036, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K +60, Self-emp-not-inc, 327474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K +44, Private, 145160, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 58, United-States, <=50K +67, ?, 37092, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K +45, Private, 129387, Assoc-acdm, 12, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, ?, <=50K +53, Self-emp-not-inc, 33304, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +37, Private, 359001, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 50, United-States, >50K +32, ?, 143162, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 133515, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +28, Private, 168901, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K +55, Private, 750972, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K +58, Private, 142924, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, >50K +74, Self-emp-inc, 228075, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 25, United-States, >50K +27, Private, 91189, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 290609, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +22, ?, 31102, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 4, South, <=50K +44, Self-emp-not-inc, 216921, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 70, United-States, <=50K +23, Private, 120046, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 324629, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K +45, Private, 81132, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 55, United-States, >50K +29, Private, 160279, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 229732, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +61, Local-gov, 144723, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K +29, Private, 148431, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, Other, Female, 7688, 0, 45, United-States, >50K +22, Private, 160398, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 38, United-States, <=50K +28, Private, 129460, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K +30, Private, 252752, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 58222, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +28, ?, 424884, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +45, Private, 114459, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +19, ?, 46400, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +42, Private, 223934, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 84119, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 159123, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 195532, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 191299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 198316, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 162301, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +35, Private, 143152, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3908, 0, 27, United-States, <=50K +24, Private, 92609, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 247819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +27, Local-gov, 229223, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, >50K +45, Self-emp-inc, 142719, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +80, Private, 86111, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +23, State-gov, 35633, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 164749, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 607848, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 173630, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +90, Private, 311184, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, ?, <=50K +55, Private, 49737, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +72, Private, 183616, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, England, <=50K +65, Private, 129426, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 454915, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 55568, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 29874, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 393715, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +50, Private, 143953, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +54, Private, 90363, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 53727, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +30, Private, 130021, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K +50, Private, 173630, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +28, Private, 410351, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +34, Private, 399386, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 53, United-States, <=50K +55, Private, 157932, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 133061, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 46400, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +21, Private, 107895, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +39, Private, 63021, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +43, Private, 186144, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Local-gov, 27959, HS-grad, 9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +26, Private, 179569, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, State-gov, 101299, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +31, State-gov, 113129, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 65, United-States, <=50K +32, Private, 316470, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, Mexico, <=50K +60, Self-emp-not-inc, 89884, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 32121, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 315303, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +27, Private, 254500, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K +33, Private, 419895, 5th-6th, 3, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +43, Private, 159549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 160786, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +18, Self-emp-not-inc, 258474, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 370119, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 50837, 7th-8th, 4, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +58, Private, 137506, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 548256, 12th, 8, Married-civ-spouse, Transport-moving, Husband, Black, Male, 7688, 0, 40, United-States, >50K +42, Local-gov, 175642, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 99999, 0, 40, United-States, >50K +24, Private, 183594, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 341353, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 15, United-States, <=50K +43, Self-emp-inc, 247981, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 5455, 0, 50, United-States, <=50K +34, Private, 193565, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 39606, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 127149, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K +31, ?, 233371, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 45, United-States, <=50K +49, Self-emp-not-inc, 182752, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K +26, Private, 269060, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 179949, HS-grad, 9, Divorced, Transport-moving, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +22, Federal-gov, 32950, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 37, United-States, <=50K +26, Private, 160445, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 223999, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1848, 40, United-States, >50K +39, Private, 81487, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 625, 40, United-States, <=50K +23, Private, 314539, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, ?, 337721, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +42, Local-gov, 100793, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +39, Federal-gov, 255407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Federal-gov, 92775, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 33308, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +68, State-gov, 493363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +30, ?, 159589, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 46, United-States, >50K +32, Private, 107218, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +25, Private, 123586, Some-college, 10, Never-married, Adm-clerical, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K +53, Private, 158352, 5th-6th, 3, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 24, Italy, <=50K +38, Private, 76317, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +62, ?, 176753, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 122346, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 463194, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 162228, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 115005, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, State-gov, 183285, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K +34, Private, 169605, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +24, Private, 450695, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +44, Local-gov, 124692, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +19, Private, 63918, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 102569, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 289309, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +45, Private, 101825, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +43, Private, 206833, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K +22, ?, 77873, 9th, 5, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +50, Private, 145333, Doctorate, 16, Divorced, Prof-specialty, Other-relative, White, Male, 10520, 0, 50, United-States, >50K +72, ?, 194548, Some-college, 10, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K +29, Private, 206351, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 198200, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 140001, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, El-Salvador, <=50K +22, ?, 287988, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +21, Private, 143604, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 146161, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K +37, Private, 196529, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 2354, 0, 40, ?, <=50K +74, Self-emp-not-inc, 192413, Prof-school, 15, Divorced, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +70, Self-emp-not-inc, 139889, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2653, 0, 70, United-States, <=50K +27, Private, 104917, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Local-gov, 161478, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 46, United-States, <=50K +30, Private, 35644, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Local-gov, 116751, Assoc-voc, 11, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 56, United-States, <=50K +18, Private, 238867, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1602, 40, United-States, <=50K +31, Private, 265706, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +39, State-gov, 179668, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K +21, Private, 57951, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +31, Private, 176711, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K +33, Local-gov, 368675, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 216149, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +29, Private, 173851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 90705, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1485, 40, United-States, <=50K +52, State-gov, 216342, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +35, Private, 140752, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +33, Private, 116508, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, ?, 224361, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 5, Cuba, <=50K +43, Private, 180303, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K +66, ?, 196736, 1st-4th, 2, Never-married, ?, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +51, Local-gov, 110327, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 185607, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +17, Local-gov, 244856, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 198068, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 97136, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +19, Self-emp-inc, 164658, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K +54, Private, 235693, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +45, Private, 197038, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +47, Local-gov, 97419, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 208872, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 98, United-States, <=50K +32, Private, 205528, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-inc, 146042, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Self-emp-inc, 222641, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-inc, 376936, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +42, Local-gov, 138077, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, >50K +24, Private, 155913, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, <=50K +45, Private, 36006, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +19, Private, 214678, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +46, Private, 369538, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 166565, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 257043, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +47, Self-emp-inc, 181130, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +69, ?, 254834, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 10605, 0, 10, United-States, >50K +43, Self-emp-not-inc, 38876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 187073, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Federal-gov, 156996, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2415, 55, ?, >50K +90, Private, 313749, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K +41, Private, 331651, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, Japan, >50K +24, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K +24, Private, 32921, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 117167, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 53, United-States, <=50K +35, Private, 401930, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1887, 42, United-States, >50K +30, Private, 114691, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 99385, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Local-gov, 210308, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1721, 30, United-States, <=50K +39, Private, 252327, 9th, 5, Separated, Craft-repair, Own-child, White, Male, 0, 0, 35, Mexico, <=50K +43, Private, 90582, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 190194, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 264188, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +34, Private, 243776, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 67065, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Self-emp-not-inc, 204209, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 226668, HS-grad, 9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K +34, Self-emp-inc, 174215, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 4787, 0, 45, France, >50K +33, Private, 315143, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Cuba, >50K +37, Private, 118681, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 38, Puerto-Rico, <=50K +39, Self-emp-not-inc, 208109, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +58, Private, 116901, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +36, Self-emp-not-inc, 405644, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K +33, Federal-gov, 293550, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 4064, 0, 40, United-States, <=50K +42, Local-gov, 328581, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +31, Private, 217962, Some-college, 10, Never-married, Protective-serv, Other-relative, Black, Male, 0, 0, 40, ?, <=50K +57, Private, 158827, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +67, Federal-gov, 65475, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 159709, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 140474, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +43, Private, 144778, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, Italy, >50K +39, Self-emp-not-inc, 83242, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 143385, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Local-gov, 167544, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 13, United-States, <=50K +25, Private, 122175, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 378747, 10th, 6, Separated, Transport-moving, Unmarried, Black, Male, 0, 0, 45, United-States, >50K +24, Private, 230475, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +50, Self-emp-inc, 120781, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, >50K +70, Private, 206232, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +61, Private, 298400, Bachelors, 13, Divorced, Sales, Not-in-family, Black, Male, 4787, 0, 48, United-States, >50K +51, Federal-gov, 163671, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, <=50K +38, Self-emp-not-inc, 140583, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +51, Private, 137253, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K +28, Private, 246974, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 182470, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K +57, Self-emp-inc, 107617, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +44, Self-emp-inc, 116358, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, >50K +29, Private, 250819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 196508, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +42, Private, 367533, 10th, 6, Married-civ-spouse, Craft-repair, Own-child, Other, Male, 0, 0, 43, United-States, >50K +74, Private, 188709, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +50, Private, 271160, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 173674, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 14, United-States, <=50K +64, ?, 257790, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +44, Private, 322391, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +34, Private, 209691, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 50, United-States, >50K +17, Private, 104232, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +17, ?, 86786, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 88233, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 240888, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 169719, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K +20, Private, 129240, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 160968, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K +34, Private, 236861, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 109282, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +32, Private, 215047, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 115932, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Ireland, >50K +28, Private, 55360, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +44, Private, 224658, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Local-gov, 376302, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 35, Nicaragua, >50K +28, Private, 183597, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 594, 0, 50, Germany, <=50K +37, Private, 115289, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 258883, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 69132, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 207301, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 179671, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 140456, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 327397, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K +60, Private, 200235, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 108435, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 2829, 0, 30, United-States, <=50K +47, Private, 195978, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 329144, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +48, Self-emp-inc, 250674, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +57, ?, 176897, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K +50, Self-emp-inc, 132716, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K +62, Private, 174201, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +45, Private, 167617, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Local-gov, 254949, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 319582, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +25, Private, 248990, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +49, Private, 144396, 11th, 7, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +32, State-gov, 200469, Some-college, 10, Never-married, Protective-serv, Unmarried, Black, Female, 3887, 0, 40, United-States, <=50K +25, Federal-gov, 55636, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +39, Private, 185624, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Local-gov, 125442, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 160943, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, >50K +30, Private, 243841, HS-grad, 9, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K +21, Private, 34616, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +33, Private, 235847, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +33, Private, 174789, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 280111, 11th, 7, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +70, Private, 236055, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +25, Private, 237865, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 42, United-States, <=50K +17, Private, 194612, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +20, Private, 173851, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 372483, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K +71, Federal-gov, 422149, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 40, United-States, >50K +31, Private, 174201, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 272618, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +52, Private, 74660, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 201481, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 175232, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 336440, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 46645, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K +48, State-gov, 31141, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, United-States, >50K +53, Private, 281425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Self-emp-not-inc, 31510, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 310255, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Federal-gov, 82393, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 56, United-States, >50K +59, Self-emp-not-inc, 190514, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +49, Private, 165513, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +65, ?, 178931, HS-grad, 9, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 3818, 0, 40, United-States, <=50K +31, Private, 226696, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +53, Private, 195813, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Other, Male, 5178, 0, 40, Puerto-Rico, >50K +44, Private, 165815, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 123983, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 55, Japan, >50K +36, Private, 235371, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 147258, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +63, ?, 222289, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 7688, 0, 54, United-States, >50K +67, Self-emp-inc, 171564, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 20051, 0, 30, England, >50K +29, Private, 255949, Bachelors, 13, Never-married, Sales, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 186272, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 282872, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 40, United-States, <=50K +21, Private, 111676, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 199501, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +24, Private, 151443, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K +31, Private, 145935, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +54, Federal-gov, 230387, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +44, Private, 127592, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 210828, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Other, Male, 0, 0, 30, United-States, <=50K +41, Private, 297186, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-inc, 116554, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +30, Private, 144593, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +26, State-gov, 147719, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K +68, Self-emp-not-inc, 89011, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Canada, <=50K +31, Private, 38158, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 178686, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +80, ?, 172826, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +26, Private, 155752, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +63, Private, 100099, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 231688, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K +30, ?, 147215, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +42, Self-emp-inc, 50122, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +64, Federal-gov, 86837, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +32, Private, 113364, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 289390, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K +73, Private, 77884, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +32, Private, 390157, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 89587, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 45, United-States, >50K +58, Private, 234328, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 365430, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +24, Private, 410439, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K +53, Private, 129525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 166527, Some-college, 10, Never-married, Exec-managerial, Own-child, Other, Female, 0, 0, 40, United-States, <=50K +42, ?, 109912, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 210906, HS-grad, 9, Married-civ-spouse, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 405284, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +28, Private, 138269, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 25429, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +45, Private, 231672, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 258550, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 268147, 9th, 5, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 54411, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, ?, <=50K +54, Private, 37289, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K +23, Private, 157951, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +43, Self-emp-inc, 225165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +37, Private, 238049, 9th, 5, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, El-Salvador, <=50K +31, Private, 197252, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +56, Self-emp-inc, 216636, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1651, 40, United-States, <=50K +25, Private, 183575, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 19752, 11th, 7, Never-married, Other-service, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +37, Private, 103925, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 68, United-States, <=50K +60, Private, 31577, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Federal-gov, 61298, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +59, Federal-gov, 190541, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Self-emp-not-inc, 366089, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +28, ?, 389857, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Male, 0, 0, 16, United-States, <=50K +33, ?, 192644, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 216129, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 1408, 50, United-States, <=50K +29, Private, 51944, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 4386, 0, 40, United-States, >50K +33, Self-emp-not-inc, 67482, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, <=50K +29, ?, 108775, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K +23, State-gov, 279243, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 278391, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, Nicaragua, <=50K +60, Private, 349898, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +44, Private, 219441, 10th, 6, Never-married, Sales, Unmarried, Other, Female, 0, 0, 35, Dominican-Republic, <=50K +18, Private, 173255, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 1055, 0, 25, United-States, <=50K +52, Federal-gov, 29623, 12th, 8, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 217460, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 163604, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, >50K +33, Private, 163110, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3781, 0, 40, United-States, <=50K +20, Private, 238685, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +27, ?, 251854, Bachelors, 13, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, ?, >50K +33, Private, 213308, Assoc-voc, 11, Separated, Adm-clerical, Own-child, Black, Female, 0, 0, 50, United-States, <=50K +25, Private, 193773, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +63, Private, 114011, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +63, Self-emp-not-inc, 52144, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +43, Private, 347934, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +58, Private, 293399, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +70, ?, 118630, Assoc-voc, 11, Widowed, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +35, Private, 127306, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 14344, 0, 40, United-States, >50K +42, Private, 366180, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +20, Local-gov, 188950, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 25, United-States, <=50K +35, Private, 189382, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 24515, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 283116, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 1506, 0, 50, United-States, <=50K +43, Self-emp-not-inc, 182217, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K +19, Private, 552354, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 163021, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 61885, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +36, Self-emp-not-inc, 182898, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +45, Private, 183092, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 30289, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +29, Private, 77572, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +48, State-gov, 118330, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K +36, Private, 469056, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +58, Private, 145574, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 302041, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +59, Private, 32552, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, United-States, <=50K +42, Private, 185413, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Federal-gov, 26543, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Federal-gov, 163870, Some-college, 10, Never-married, Armed-Forces, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 240063, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +48, Private, 208748, 5th-6th, 3, Divorced, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Dominican-Republic, <=50K +32, Local-gov, 84119, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 84130, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +66, Local-gov, 261062, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Local-gov, 336010, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +52, Private, 389270, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +17, Private, 138293, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +35, Private, 240389, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, >50K +39, Private, 190297, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K +21, ?, 170070, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +24, Private, 149457, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 81534, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 84, Japan, >50K +25, Private, 378322, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2001, 50, United-States, <=50K +29, Federal-gov, 196912, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +56, Private, 116143, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 44, United-States, >50K +34, Self-emp-not-inc, 80933, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +64, Local-gov, 190660, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +27, Private, 120155, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 39, United-States, <=50K +47, Private, 167159, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +36, Private, 58343, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 42, United-States, >50K +44, Federal-gov, 161240, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 126402, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K +23, Private, 148709, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +45, Local-gov, 318280, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +31, Local-gov, 80058, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 64, United-States, <=50K +45, Private, 274689, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 157367, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, ?, <=50K +33, Private, 217460, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Local-gov, 33727, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 166961, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +25, Private, 146117, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +33, Private, 160216, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 32, ?, <=50K +70, Self-emp-not-inc, 124449, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 8, United-States, >50K +22, Private, 50163, 9th, 5, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 235271, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 121124, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +43, Self-emp-not-inc, 144218, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 94334, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 25, United-States, <=50K +59, Self-emp-inc, 169982, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +51, Self-emp-not-inc, 35295, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 133969, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 2885, 0, 65, Japan, <=50K +36, Private, 35429, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +73, Local-gov, 205580, 5th-6th, 3, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 6, United-States, <=50K +32, Local-gov, 177794, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 167474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Local-gov, 35211, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +20, Private, 117244, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +57, Private, 194850, Some-college, 10, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +19, Private, 144911, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +45, Private, 197240, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +55, Private, 101338, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 148522, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +19, Private, 97261, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 166606, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 229414, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K +34, Local-gov, 209213, Bachelors, 13, Never-married, Prof-specialty, Other-relative, Black, Male, 0, 0, 15, United-States, <=50K +26, Private, 291968, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K +73, Federal-gov, 127858, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 3273, 0, 40, United-States, <=50K +27, Private, 302406, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +37, Self-emp-not-inc, 29054, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 84, United-States, <=50K +73, Self-emp-not-inc, 336007, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Federal-gov, 349230, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1848, 40, United-States, >50K +36, Local-gov, 101481, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 46704, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +49, Private, 233639, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +68, Local-gov, 31725, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 54850, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 50, United-States, <=50K +30, Private, 293512, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 375655, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 105817, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Local-gov, 203408, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 162302, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +40, Private, 163455, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 55, United-States, >50K +32, Local-gov, 100135, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, ?, 41517, 11th, 7, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +18, Private, 102182, 12th, 8, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 414683, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 194352, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 194096, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 45, United-States, <=50K +90, Local-gov, 153602, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 6767, 0, 40, United-States, <=50K +20, Private, 215495, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +27, Private, 164607, Bachelors, 13, Separated, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K +58, Local-gov, 34878, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +37, Private, 126569, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +65, ?, 315728, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 2329, 0, 75, United-States, <=50K +28, Private, 22422, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 178222, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +45, Local-gov, 56841, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 300275, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +69, Local-gov, 197288, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +58, Self-emp-not-inc, 157786, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 110684, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +58, Self-emp-not-inc, 140729, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +53, Federal-gov, 90127, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K +44, Self-emp-inc, 37997, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 61308, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 171199, Bachelors, 13, Divorced, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Puerto-Rico, <=50K +48, Private, 128432, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Federal-gov, 195023, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 122473, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K +43, Private, 171888, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Self-emp-inc, 183784, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +20, Private, 219262, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 71379, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +19, ?, 234519, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K +35, Private, 96824, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 242597, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 127388, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 204536, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +54, Private, 143804, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 80680, Some-college, 10, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K +36, Private, 301227, 5th-6th, 3, Separated, Priv-house-serv, Unmarried, Other, Female, 0, 0, 35, Mexico, <=50K +26, Self-emp-not-inc, 201930, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Local-gov, 176616, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 353219, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 126076, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +31, Private, 156493, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Federal-gov, 435503, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Self-emp-inc, 561489, Masters, 14, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K +22, Federal-gov, 100345, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 43, United-States, <=50K +18, Private, 36275, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K +46, Private, 110794, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Local-gov, 143766, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Federal-gov, 76313, HS-grad, 9, Married-civ-spouse, Armed-Forces, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K +31, Private, 121308, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 216672, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 89942, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 3674, 0, 45, United-States, <=50K +45, State-gov, 103406, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K +30, State-gov, 158291, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 455361, 9th, 5, Never-married, Other-service, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K +44, Private, 225263, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 1408, 46, United-States, <=50K +54, Private, 225307, 11th, 7, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 50, United-States, >50K +36, Private, 286115, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 187830, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +26, Private, 142506, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +47, Local-gov, 148576, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +36, Private, 185325, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K +32, Self-emp-not-inc, 27939, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +21, Private, 383603, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 140790, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +34, Private, 226629, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +51, Private, 228516, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Columbia, <=50K +55, Self-emp-not-inc, 119762, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 299197, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 149297, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K +28, Local-gov, 202558, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 175232, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Self-emp-not-inc, 157473, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, ?, 409842, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 105787, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 36, United-States, <=50K +68, Private, 144056, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3818, 0, 40, United-States, <=50K +46, Private, 45363, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 2824, 40, United-States, >50K +21, Private, 205838, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K +23, Private, 115326, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +17, Private, 186890, 10th, 6, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +23, Local-gov, 304386, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 24529, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Male, 0, 0, 15, United-States, <=50K +33, Private, 183557, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 342730, Assoc-acdm, 12, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +31, ?, 182191, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 4064, 0, 30, Canada, <=50K +56, Self-emp-not-inc, 67841, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 351381, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 293691, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 1590, 40, Japan, <=50K +41, Self-emp-inc, 220821, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +26, Private, 190027, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +41, Private, 343944, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 110457, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +47, State-gov, 72333, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 193494, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 334999, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +44, Self-emp-not-inc, 274363, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +58, Self-emp-inc, 113806, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 30, United-States, >50K +25, Private, 52536, Assoc-acdm, 12, Divorced, Tech-support, Own-child, White, Female, 0, 1594, 25, United-States, <=50K +44, Private, 187720, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 104996, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +24, Private, 214555, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 52963, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +33, Private, 190511, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 2176, 0, 35, United-States, <=50K +25, Private, 75821, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 123291, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 84, United-States, >50K +50, Local-gov, 226497, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K +35, Private, 282979, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K +36, Private, 166549, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +27, Private, 187746, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 157145, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 227551, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +90, Private, 115306, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 169249, HS-grad, 9, Separated, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +34, State-gov, 221966, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 224566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +19, Private, 28119, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 4, United-States, <=50K +19, Private, 323810, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 210498, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 174995, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 30, Hungary, <=50K +38, Private, 161141, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K +44, Private, 210534, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +34, Self-emp-not-inc, 112650, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, State-gov, 318891, Assoc-acdm, 12, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Local-gov, 375655, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 228465, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, ?, 102130, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +73, Private, 183213, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Male, 25124, 0, 60, United-States, >50K +35, Local-gov, 177305, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 40, United-States, <=50K +41, Private, 34037, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 116613, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 50, United-States, <=50K +25, Private, 175540, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 150768, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 1564, 51, United-States, >50K +36, Private, 176634, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, >50K +36, Private, 209993, 1st-4th, 2, Widowed, Other-service, Other-relative, White, Female, 0, 0, 20, Mexico, <=50K +25, Local-gov, 206002, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 201259, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +26, Local-gov, 202286, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 96062, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 40, United-States, <=50K +36, Local-gov, 578377, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 509500, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 4787, 0, 45, United-States, >50K +53, Local-gov, 324021, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 107737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, State-gov, 129865, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 103586, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, United-States, <=50K +23, Private, 187513, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K +28, Private, 172891, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +53, Local-gov, 207449, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 209103, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, >50K +33, Private, 408813, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +27, Private, 209292, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 32, Dominican-Republic, <=50K +52, Private, 144361, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +31, Private, 209538, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, <=50K +27, Private, 244402, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +44, Private, 889965, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 3137, 0, 30, United-States, <=50K +37, Self-emp-not-inc, 298444, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 163237, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +18, Private, 311795, 12th, 8, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +42, Private, 155972, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 291783, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 153535, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K +43, Private, 249771, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 99, United-States, <=50K +43, Private, 462180, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K +31, Private, 308540, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 34701, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Federal-gov, 106252, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 138944, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +37, Private, 140713, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, Jamaica, >50K +53, Local-gov, 216931, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 4386, 0, 40, United-States, >50K +26, Private, 162312, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K +59, Self-emp-inc, 253062, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +36, Federal-gov, 359249, Some-college, 10, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 231413, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Local-gov, 197054, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 130931, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 30565, HS-grad, 9, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K +48, Private, 105138, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +30, Local-gov, 178383, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 241998, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +58, Self-emp-not-inc, 196403, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 10, United-States, >50K +44, Private, 232421, HS-grad, 9, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male, 0, 0, 32, Canada, <=50K +30, Private, 130369, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +68, Self-emp-not-inc, 336329, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K +26, Local-gov, 337867, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +26, Local-gov, 104614, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 223548, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +43, State-gov, 506329, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, ?, >50K +48, Private, 64479, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K +55, Private, 284095, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +50, Self-emp-not-inc, 221336, Some-college, 10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K +41, Private, 428499, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 50, United-States, >50K +52, Private, 208302, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K +24, ?, 412156, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K +31, Self-emp-not-inc, 182177, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +54, Local-gov, 129972, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, >50K +31, Self-emp-not-inc, 186420, Masters, 14, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +31, Self-emp-inc, 203488, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +47, Private, 128796, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 55395, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +46, State-gov, 314770, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +45, Private, 135044, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 319248, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, Mexico, <=50K +34, Local-gov, 236415, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 18, United-States, <=50K +48, ?, 151584, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 8614, 0, 60, United-States, >50K +19, ?, 133983, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +56, Private, 81220, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K +47, Private, 151087, HS-grad, 9, Separated, Prof-specialty, Other-relative, Other, Female, 0, 0, 40, Puerto-Rico, <=50K +35, Private, 322171, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K +25, Private, 190628, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K +43, Local-gov, 106982, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 227856, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 37, United-States, >50K +66, ?, 213477, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +63, Private, 266083, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Private, 257068, Some-college, 10, Married-spouse-absent, Transport-moving, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +58, ?, 37591, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 150533, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, >50K +27, Private, 211184, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K +21, Private, 136610, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, United-States, <=50K +44, Federal-gov, 244054, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K +40, Self-emp-not-inc, 240698, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +65, Private, 172906, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 238959, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +18, ?, 163085, HS-grad, 9, Separated, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +51, State-gov, 172022, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +44, Federal-gov, 218062, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 201799, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 13, United-States, <=50K +29, Private, 150717, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 94391, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Local-gov, 153064, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K +43, Private, 156771, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 216639, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 82161, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, ?, 159159, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K +58, Self-emp-not-inc, 310014, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K +50, State-gov, 133014, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 36214, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K +21, Private, 399022, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K +33, Private, 179758, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K +52, Private, 48947, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +47, Private, 201865, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 319122, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K +34, Private, 155151, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 24106, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Philippines, >50K +31, Private, 257863, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +19, ?, 28967, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 379393, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +45, Self-emp-not-inc, 152752, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 3, United-States, <=50K +34, Private, 154874, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 4416, 0, 30, United-States, <=50K +27, Private, 154210, 11th, 7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, India, <=50K +37, Private, 335716, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 94744, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +32, Private, 133861, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 48, United-States, >50K +24, Private, 240137, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K +39, Private, 80004, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 109702, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +62, Self-emp-not-inc, 39610, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K +24, Private, 90046, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 193855, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 206889, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 86298, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 149650, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 2559, 48, United-States, >50K +25, Private, 323139, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +44, Private, 237993, Prof-school, 15, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, ?, <=50K +24, Private, 36058, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +61, Private, 163393, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +45, Local-gov, 93535, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 112952, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K +48, Private, 182541, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K +26, Local-gov, 73392, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K +40, ?, 507086, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K +68, Private, 195868, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K +24, Private, 276851, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Female, 0, 1762, 40, United-States, <=50K +25, ?, 39901, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Local-gov, 33124, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +55, Private, 419732, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +46, Private, 171095, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +58, Private, 199278, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +56, Private, 235205, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Federal-gov, 168232, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +24, Private, 145964, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K +35, Local-gov, 72338, HS-grad, 9, Divorced, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 56, United-States, <=50K +51, Private, 153870, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 323798, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K +17, Private, 198830, 11th, 7, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 10, United-States, <=50K +21, Private, 267040, 10th, 6, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +45, Private, 167187, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +42, Private, 230684, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K +56, Private, 659558, 12th, 8, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +39, Private, 181661, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 186144, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, Other, Female, 0, 0, 40, Mexico, <=50K +20, Federal-gov, 178517, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +65, Self-emp-not-inc, 131417, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1797, 0, 21, United-States, <=50K +44, Private, 57233, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 379798, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 122175, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +38, Private, 107302, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, Local-gov, 127651, 10th, 6, Never-married, Transport-moving, Other-relative, White, Male, 0, 1741, 40, United-States, <=50K +33, Self-emp-not-inc, 102884, Bachelors, 13, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +49, Self-emp-not-inc, 241753, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 173611, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 232666, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 352207, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +37, Self-emp-not-inc, 241998, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 5, United-States, >50K +52, Private, 279129, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 37, United-States, >50K +27, Private, 177057, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 155659, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 55, United-States, >50K +21, Private, 251603, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Federal-gov, 19914, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K +61, Private, 115023, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 101709, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +21, Private, 313702, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 250068, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 227359, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K +21, State-gov, 196827, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 10, United-States, <=50K +44, Private, 118550, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K +26, Private, 285004, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, South, <=50K +36, Private, 280169, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Private, 144608, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, >50K +52, Private, 76860, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 8, Philippines, <=50K +44, Self-emp-not-inc, 167280, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 334783, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +60, ?, 141580, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 226443, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 366065, Some-college, 10, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 225724, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K +81, State-gov, 132204, 1st-4th, 2, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +39, Private, 258276, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 3137, 0, 40, ?, <=50K +38, Private, 197711, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Portugal, <=50K +21, Private, 30619, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +28, Local-gov, 335015, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 61272, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 106544, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 144169, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 40295, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K +56, Private, 266091, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2907, 0, 52, Cuba, <=50K +57, Private, 143030, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, ?, <=50K +42, State-gov, 192397, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K +43, Private, 114351, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +48, ?, 63466, HS-grad, 9, Married-spouse-absent, ?, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +53, Private, 132304, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Scotland, <=50K +58, Private, 128162, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +19, Private, 125938, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K +37, Private, 170174, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K +41, Self-emp-not-inc, 203451, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +31, Private, 109917, 7th-8th, 4, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 114937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +53, Local-gov, 231196, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 238474, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K +56, Private, 314149, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +55, Federal-gov, 31728, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +51, Private, 360131, 5th-6th, 3, Married-civ-spouse, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +62, Private, 141308, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 83411, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +45, ?, 119835, 7th-8th, 4, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K +28, Local-gov, 296537, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 193047, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +62, State-gov, 39630, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Local-gov, 213975, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +60, Local-gov, 259803, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +23, Federal-gov, 55465, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 181307, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K +21, Private, 211301, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K +51, Private, 200450, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K +61, Local-gov, 176731, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 140985, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 99999, 0, 30, United-States, >50K +76, Private, 125784, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 152176, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 39, United-States, <=50K +31, Self-emp-not-inc, 111423, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +43, Private, 130126, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +58, Federal-gov, 30111, Some-college, 10, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +18, ?, 214989, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 24, United-States, <=50K +19, Private, 272800, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 195881, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 45, United-States, <=50K +41, Local-gov, 170924, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 7, United-States, <=50K +21, Private, 131473, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, Vietnam, <=50K +40, Private, 149466, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +25, Private, 190418, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Canada, <=50K +62, Local-gov, 167889, Doctorate, 16, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Iran, <=50K +42, Private, 177989, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 186035, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 195805, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K +60, Private, 54800, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 100605, HS-grad, 9, Never-married, Sales, Own-child, Other, Male, 0, 0, 40, Puerto-Rico, <=50K +23, Private, 253190, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K +18, Private, 203301, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 175696, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +19, Private, 278304, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +51, Private, 93193, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Local-gov, 158688, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 327612, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 210844, Some-college, 10, Married-spouse-absent, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 147340, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +71, Self-emp-not-inc, 130436, 1st-4th, 2, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +25, Private, 206600, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +73, Private, 284680, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +45, Private, 127738, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 213412, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 287927, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 16, United-States, <=50K +44, Private, 249332, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Ecuador, <=50K +44, Local-gov, 290403, Assoc-voc, 11, Divorced, Protective-serv, Own-child, White, Female, 0, 0, 40, Cuba, <=50K +49, Private, 54772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K +44, Self-emp-inc, 56651, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K +42, Federal-gov, 178470, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 62865, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +66, Private, 107196, HS-grad, 9, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K +19, Private, 86860, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 15, United-States, <=50K +60, Private, 130684, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +46, Private, 164682, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 198316, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +59, Private, 261816, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 52, Outlying-US(Guam-USVI-etc), <=50K +58, Private, 280309, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 60, United-States, >50K +47, Private, 97176, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 95835, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 36, United-States, <=50K +69, ?, 323016, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 99999, 0, 40, United-States, >50K +17, ?, 280670, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 136306, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K +28, Private, 65171, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 70, United-States, <=50K +37, Private, 25864, HS-grad, 9, Separated, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +30, Private, 149531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 33887, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 172822, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 2824, 76, United-States, >50K +59, Private, 106748, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 99, United-States, <=50K +45, Private, 131826, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Local-gov, 216691, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K +37, Private, 133328, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 164737, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Local-gov, 99064, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, State-gov, 59460, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K +27, Private, 208725, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 138513, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 121055, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 149784, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 114495, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, ?, 133278, 12th, 8, Separated, ?, Unmarried, Black, Female, 0, 0, 53, United-States, <=50K +32, Private, 212276, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Private, 440129, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, Mexico, <=50K +47, Private, 98012, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K +27, Private, 145284, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 177147, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 141537, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 48093, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 92, United-States, <=50K +23, Local-gov, 314819, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 123572, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 170800, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 332401, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 193038, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K +41, Private, 351161, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 45, United-States, >50K +45, Federal-gov, 106910, HS-grad, 9, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +67, ?, 163726, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 49, United-States, <=50K +36, Self-emp-not-inc, 609935, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 48, ?, <=50K +52, State-gov, 314627, Masters, 14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +28, Private, 115945, Doctorate, 16, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 18, United-States, <=50K +83, Self-emp-inc, 272248, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +17, Private, 167878, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 176972, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 31095, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 130834, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 207415, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K +51, Local-gov, 264457, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +51, Private, 340588, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 54, Mexico, <=50K +82, ?, 42435, 10th, 6, Widowed, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +28, Private, 107411, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +53, Private, 290640, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Germany, >50K +29, Private, 106179, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K +19, Private, 247679, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 171598, Bachelors, 13, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 234460, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, Dominican-Republic, <=50K +66, Private, 196674, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, >50K +27, Private, 182540, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 172694, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +17, Private, 29571, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +27, Private, 130438, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 213421, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +44, Local-gov, 189956, Bachelors, 13, Married-civ-spouse, Protective-serv, Wife, Black, Female, 15024, 0, 40, United-States, >50K +64, Private, 133144, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K +62, Self-emp-inc, 24050, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +26, Private, 276967, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 184857, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 145160, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 192251, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 190650, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K +52, Local-gov, 255927, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +46, Private, 99086, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +30, Private, 216811, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +52, Private, 110563, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 120471, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K +17, Private, 183066, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +46, State-gov, 298786, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +45, Private, 297884, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +21, Private, 253612, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 1055, 0, 32, United-States, <=50K +18, Self-emp-not-inc, 207438, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 148522, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 1721, 15, United-States, <=50K +90, Private, 139660, Some-college, 10, Divorced, Sales, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +23, Private, 165474, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 120277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Self-emp-not-inc, 67929, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K +69, Private, 229418, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Federal-gov, 41356, Assoc-acdm, 12, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +28, Private, 185127, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K +37, Private, 109133, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K +57, Private, 148315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +30, Local-gov, 145692, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 1974, 40, United-States, <=50K +48, Private, 210424, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 914, 0, 40, United-States, <=50K +73, Private, 198526, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 32, United-States, <=50K +25, Private, 521400, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +33, Private, 100882, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +36, Private, 124818, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 190836, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K +57, Private, 71367, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 303032, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +35, ?, 98989, 9th, 5, Divorced, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 38, United-States, <=50K +40, State-gov, 390781, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K +32, Private, 54782, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, ?, 202683, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 213081, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K +27, Self-emp-inc, 89718, Some-college, 10, Separated, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 225106, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 1602, 18, United-States, <=50K +29, Private, 253262, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 78181, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +20, Private, 158206, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +69, ?, 337720, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K +18, State-gov, 391257, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 134756, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 183404, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 8, United-States, <=50K +46, Private, 192793, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 203943, 12th, 8, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, ?, <=50K +53, Private, 89400, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 237868, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 139187, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 126701, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +54, Self-emp-inc, 172175, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 164210, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Local-gov, 608184, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K +17, ?, 198797, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 20, Peru, <=50K +50, Local-gov, 425804, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +22, ?, 117618, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +30, Private, 119164, Bachelors, 13, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, ?, <=50K +40, Self-emp-inc, 92036, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 77146, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Self-emp-not-inc, 191803, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 54932, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 251694, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 268145, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 104842, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 50, Haiti, <=50K +60, Local-gov, 227332, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 212512, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 50, United-States, <=50K +53, Private, 133436, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, State-gov, 309055, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +18, Private, 59202, HS-grad, 9, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 10, United-States, <=50K +36, Private, 32709, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 3325, 0, 45, United-States, <=50K +67, Self-emp-inc, 73559, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 50, United-States, >50K +31, Private, 117963, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +26, Private, 169121, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K +18, Private, 308889, 11th, 7, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K +45, Local-gov, 144940, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +64, Private, 102041, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 335998, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +53, Private, 29557, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 210313, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 28, Guatemala, <=50K +32, Private, 190784, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 107597, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 14084, 0, 30, United-States, >50K +59, Private, 97168, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 155930, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K +61, Self-emp-not-inc, 181033, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +41, ?, 344572, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, State-gov, 170165, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +32, Private, 178835, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 118230, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +48, Private, 149640, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 30271, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +21, Private, 154165, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 35, United-States, <=50K +50, Self-emp-not-inc, 341797, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Local-gov, 145246, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K +51, Private, 280093, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 373469, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 199172, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K +70, Self-emp-not-inc, 177199, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 3, United-States, <=50K +33, Private, 258932, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Self-emp-not-inc, 139960, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 10605, 0, 60, United-States, >50K +39, Private, 258037, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +32, Private, 116677, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 59496, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 34218, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 200246, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +64, Federal-gov, 316246, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +37, Local-gov, 239161, Some-college, 10, Separated, Protective-serv, Own-child, Other, Male, 0, 0, 52, United-States, <=50K +49, Self-emp-not-inc, 173411, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 259226, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K +35, Local-gov, 195516, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 200598, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1740, 45, United-States, <=50K +42, State-gov, 160369, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +21, ?, 415913, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 147253, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 199674, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +29, State-gov, 198493, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 377121, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +21, Private, 400635, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, ?, <=50K +45, Private, 513660, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, ?, 175069, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 82552, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 594, 0, 50, United-States, <=50K +28, ?, 78388, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K +23, Private, 171705, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +39, Self-emp-not-inc, 315640, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 60, Iran, <=50K +45, Private, 266860, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +68, Private, 192829, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +60, Federal-gov, 237317, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 4934, 0, 40, United-States, >50K +38, State-gov, 110426, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, ?, >50K +41, Private, 327606, 12th, 8, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +48, Private, 34845, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 58582, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 155659, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Local-gov, 210029, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 381618, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +55, Self-emp-inc, 298449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K +35, State-gov, 226789, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, <=50K +52, Private, 210736, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 55, United-States, >50K +46, State-gov, 111163, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +72, ?, 76860, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 1, United-States, <=50K +18, Private, 92112, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +62, Local-gov, 136787, HS-grad, 9, Divorced, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 29810, Some-college, 10, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 30, United-States, <=50K +40, Private, 360884, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 40, United-States, >50K +26, Private, 266022, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 142874, Assoc-acdm, 12, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 36, United-States, <=50K +25, Self-emp-not-inc, 72338, HS-grad, 9, Never-married, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +46, ?, 177305, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, United-States, >50K +39, Private, 165106, Bachelors, 13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 1564, 50, ?, >50K +41, Private, 424478, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, >50K +59, Private, 189721, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, >50K +37, Private, 34180, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 183279, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K +33, Private, 35309, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +23, Private, 259109, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K +67, Self-emp-not-inc, 148690, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Male, 18481, 0, 2, United-States, >50K +60, Private, 125019, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 48, United-States, >50K +39, Self-emp-inc, 172538, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +32, Self-emp-not-inc, 410615, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 60, United-States, >50K +26, Private, 322547, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +39, Private, 300760, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +28, Private, 232782, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 174645, 11th, 7, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 52, United-States, <=50K +43, Private, 164693, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 206861, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 25, United-States, <=50K +32, Private, 195602, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K +33, Self-emp-not-inc, 422960, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K +45, Private, 116360, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +48, Private, 278530, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 188291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K +50, Self-emp-not-inc, 163948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +63, Private, 64544, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +55, Private, 101468, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K +22, Private, 107882, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K +32, Self-emp-not-inc, 182691, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 203776, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +22, Private, 201268, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +44, Private, 29762, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 68, United-States, <=50K +34, Private, 186346, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 196690, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 99604, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 24, United-States, >50K +45, Private, 194772, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +17, Private, 95446, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +53, Self-emp-not-inc, 257126, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +58, Private, 194733, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 98361, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +44, Local-gov, 124924, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +40, Self-emp-not-inc, 111971, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +58, Self-emp-not-inc, 130714, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 208358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Private, 147627, 9th, 5, Never-married, Priv-house-serv, Not-in-family, Black, Female, 1055, 0, 22, United-States, <=50K +31, Private, 149507, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3464, 0, 38, United-States, <=50K +31, Private, 164870, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 236861, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 45, United-States, <=50K +37, Private, 220314, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +38, Local-gov, 329980, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, Canada, <=50K +58, Local-gov, 318537, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 183284, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 334368, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K +46, Private, 109227, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 70, United-States, <=50K +34, Private, 118551, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Self-emp-inc, 163057, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K +61, Self-emp-inc, 253101, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +30, Self-emp-not-inc, 20098, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 196227, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 175374, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 234037, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 58, United-States, <=50K +47, Private, 341762, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K +20, Private, 174714, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 222835, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +46, Private, 251786, 1st-4th, 2, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +20, Private, 164219, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 251120, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +30, Private, 236993, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +43, Local-gov, 105896, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 211527, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 317809, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, ?, >50K +25, Private, 185287, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 31014, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +44, Private, 151985, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 24, United-States, >50K +26, Private, 89389, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 406051, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, >50K +48, Self-emp-not-inc, 171986, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +26, Private, 167848, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 213019, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 211424, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 168981, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +24, Private, 122348, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 139753, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Local-gov, 176178, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 2, United-States, <=50K +41, Private, 145220, 9th, 5, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K +38, Local-gov, 188612, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 445728, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 318002, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 235722, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, ?, 367984, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 212705, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +49, Private, 411273, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 103986, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 203761, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +58, ?, 266792, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 99999, 0, 40, United-States, >50K +22, Private, 116800, Assoc-acdm, 12, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 60, United-States, <=50K +21, State-gov, 99199, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 10, United-States, <=50K +50, Private, 162327, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Local-gov, 100479, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K +36, Local-gov, 32587, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +30, Federal-gov, 321990, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 48, Cuba, >50K +52, Private, 108914, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Self-emp-not-inc, 61343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 90, United-States, <=50K +48, Local-gov, 81154, Assoc-voc, 11, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 48, United-States, <=50K +23, Private, 162945, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2377, 40, United-States, <=50K +37, Private, 225504, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +44, Self-emp-inc, 191712, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 55, United-States, >50K +44, Private, 176063, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Private, 198587, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, State-gov, 34965, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K +31, Self-emp-inc, 467108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +23, ?, 263899, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 12, England, <=50K +29, Private, 204984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +53, Private, 217568, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 48343, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 193130, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1887, 40, United-States, >50K +31, Private, 253354, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 258026, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +64, ?, 211360, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +55, Private, 191367, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 148995, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +20, Private, 123901, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Local-gov, 117496, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 30, United-States, >50K +45, Self-emp-inc, 32356, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 51, United-States, <=50K +17, Private, 206506, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 10, El-Salvador, <=50K +38, Private, 218729, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +43, Private, 52498, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K +22, Private, 136767, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +63, Private, 219540, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 114059, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +56, Private, 247337, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +43, State-gov, 310969, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 171546, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Private, 217455, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 410489, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +59, Private, 146391, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +46, Local-gov, 165484, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K +23, Private, 184271, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +46, Self-emp-not-inc, 231347, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +53, Private, 95469, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, >50K +47, Private, 244025, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 56, Puerto-Rico, <=50K +46, Federal-gov, 46537, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 205730, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K +29, Private, 383745, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 30, United-States, >50K +32, Private, 328199, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +90, Private, 84553, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 221072, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, ?, <=50K +23, Private, 123983, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +76, ?, 191024, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +23, Private, 167868, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 225879, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Other, Female, 0, 0, 30, Mexico, >50K +81, Self-emp-inc, 247232, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 2936, 0, 28, United-States, <=50K +17, Private, 143791, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 12, United-States, <=50K +56, Private, 177271, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Federal-gov, 129786, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 31339, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 236267, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 130620, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, >50K +32, Private, 208180, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 24, United-States, >50K +25, Private, 292058, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +29, Federal-gov, 142712, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 119665, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +41, Private, 116825, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +48, State-gov, 201177, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +29, Private, 118337, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +27, ?, 173800, Masters, 14, Never-married, ?, Unmarried, Asian-Pac-Islander, Male, 0, 0, 20, Taiwan, <=50K +55, Private, 289257, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 190912, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 1651, 40, Vietnam, <=50K +45, Private, 140581, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +50, Private, 174102, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K +22, Private, 316509, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +80, Local-gov, 20101, HS-grad, 9, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 32, United-States, <=50K +30, Private, 187279, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, <=50K +20, Private, 259496, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +29, Self-emp-not-inc, 181466, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +56, Private, 178202, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 188976, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 203027, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, State-gov, 142022, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 119033, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 216181, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +47, Private, 178341, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, >50K +25, Local-gov, 244408, Bachelors, 13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +31, Private, 198953, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +28, Private, 173110, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 66326, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K +30, Local-gov, 181091, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-inc, 135500, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K +27, Private, 133929, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, ?, <=50K +26, Private, 86483, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 167787, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 208577, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2258, 50, United-States, <=50K +43, Private, 216697, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Other, Male, 0, 0, 32, United-States, <=50K +32, Local-gov, 118457, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +20, Private, 298635, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K +21, Local-gov, 212780, 12th, 8, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +32, Private, 159187, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 237995, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K +45, Private, 160724, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +37, Self-emp-inc, 183800, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K +54, ?, 185936, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +24, Private, 161198, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +28, ?, 113635, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +23, Private, 214542, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, ?, 172991, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 203761, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 161141, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +71, Private, 180117, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 317396, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 237868, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 5, United-States, <=50K +30, Private, 323069, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 181091, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +38, Private, 309122, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 105936, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 13550, 0, 40, United-States, >50K +43, Private, 40024, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +36, Federal-gov, 192443, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 13550, 0, 40, United-States, >50K +24, State-gov, 184216, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, ?, 256211, 1st-4th, 2, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +55, Private, 205422, 10th, 6, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K +51, Private, 22211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K +43, Local-gov, 196308, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +28, Private, 389713, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 82566, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 199058, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 160440, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +47, Private, 76034, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 57, United-States, >50K +38, Private, 188503, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 6497, 0, 35, United-States, <=50K +60, Self-emp-not-inc, 92845, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 29083, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K +22, Private, 234474, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +55, Local-gov, 107308, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 111891, Some-college, 10, Separated, Sales, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +53, Self-emp-not-inc, 145419, 1st-4th, 2, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 67, Italy, >50K +44, Local-gov, 193425, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 4386, 0, 40, United-States, >50K +28, Federal-gov, 188278, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Local-gov, 303485, Some-college, 10, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +39, Local-gov, 67187, HS-grad, 9, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +43, State-gov, 114508, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 204172, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +27, Local-gov, 162973, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +64, Self-emp-not-inc, 192695, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, Canada, <=50K +41, Local-gov, 89172, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 163320, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 128230, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 246440, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 50567, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +20, Private, 117476, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 315834, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K +28, Local-gov, 214881, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 195516, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 218653, Bachelors, 13, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 87205, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 20, United-States, >50K +40, Private, 164647, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +19, Private, 129151, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 319697, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 193374, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 167864, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 197932, Some-college, 10, Separated, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, Guatemala, <=50K +51, Private, 102904, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +44, Private, 216907, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +35, Local-gov, 331395, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K +40, Private, 171424, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 35406, 7th-8th, 4, Separated, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +25, Private, 238964, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +33, Private, 213002, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1408, 36, United-States, <=50K +32, Private, 27882, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 2205, 40, Holand-Netherlands, <=50K +22, Private, 340543, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 70240, Some-college, 10, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +18, Self-emp-not-inc, 87169, HS-grad, 9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +43, Private, 253759, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K +46, Private, 194431, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 137843, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 48, United-States, >50K +40, ?, 170649, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +59, Private, 182460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +40, Local-gov, 26929, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 399022, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +64, ?, 50171, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K +36, Private, 218490, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +48, Private, 164423, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 124436, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +18, Private, 60981, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +17, Private, 70868, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 16, United-States, <=50K +36, Private, 150601, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, <=50K +53, Private, 228500, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +36, State-gov, 76767, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K +20, Private, 218178, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 615367, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +34, Private, 150324, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 51264, 11th, 7, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 197642, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 229895, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 167415, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +51, Private, 166934, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 305597, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 301591, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +47, Federal-gov, 229646, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, Puerto-Rico, <=50K +28, Self-emp-not-inc, 51461, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 206600, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, Nicaragua, <=50K +25, Private, 176836, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +50, Private, 204447, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K +50, Private, 33304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 174051, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +27, Private, 38918, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1876, 75, United-States, <=50K +32, Private, 170017, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 98466, 10th, 6, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +19, Private, 188864, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +53, Self-emp-inc, 137815, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +21, Private, 43475, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 557236, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 32779, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 419, 12, United-States, <=50K +31, Private, 161765, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2051, 57, United-States, <=50K +32, Private, 207668, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 2444, 50, United-States, >50K +33, Private, 171215, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, ?, 52590, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +24, Private, 183751, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K +30, Private, 149507, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, <=50K +49, Private, 98092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 123714, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +30, State-gov, 190385, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +51, Private, 334273, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 343440, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 208302, HS-grad, 9, Divorced, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +23, Local-gov, 280164, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 32, United-States, <=50K +23, Self-emp-not-inc, 174714, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 184655, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +19, Private, 140459, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +53, Self-emp-not-inc, 108815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +17, Private, 152652, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +69, Private, 269499, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +46, Local-gov, 33373, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 243674, HS-grad, 9, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K +40, Private, 225432, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +56, Private, 215839, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, ?, <=50K +29, Local-gov, 195520, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 70092, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +22, Private, 189888, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +28, Private, 64307, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 94235, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K +35, Private, 62333, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 260997, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +17, Private, 146268, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +39, Private, 147258, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 207948, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +50, Private, 180607, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +56, Local-gov, 104996, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +80, Self-emp-not-inc, 562336, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K +38, Self-emp-not-inc, 334366, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 15, United-States, <=50K +52, State-gov, 142757, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K +26, Local-gov, 220656, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 38, England, <=50K +43, Private, 96483, HS-grad, 9, Divorced, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K +45, Private, 51744, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +41, Self-emp-inc, 114967, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +30, Private, 393965, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +24, Private, 41838, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K +43, Local-gov, 143046, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +44, Private, 209174, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +54, Private, 183248, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 102942, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 2258, 40, United-States, >50K +33, Self-emp-not-inc, 427474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +18, Private, 338632, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +38, Private, 89559, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Germany, <=50K +41, Self-emp-not-inc, 32533, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +22, ?, 255969, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +66, Self-emp-inc, 112376, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +70, ?, 346053, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 147653, 10th, 6, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 1977, 35, ?, >50K +60, Self-emp-not-inc, 44915, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +24, Local-gov, 111450, 10th, 6, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 65, Haiti, <=50K +61, Private, 171429, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +35, Local-gov, 190964, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 109005, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 404453, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 280169, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K +39, Self-emp-not-inc, 163204, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 192256, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +52, Private, 181755, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 183105, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 44, Cuba, <=50K +37, Private, 335168, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +38, Local-gov, 86643, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 180262, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 127865, Masters, 14, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 146042, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 3103, 0, 60, United-States, >50K +49, Self-emp-not-inc, 102110, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, >50K +38, Private, 152237, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, ?, >50K +22, Private, 202745, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 55, United-States, <=50K +40, Federal-gov, 199303, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 266467, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Federal-gov, 345259, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K +24, Private, 204935, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +58, Federal-gov, 244830, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K +24, Private, 190457, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 180138, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 166585, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 29962, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 191129, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 378707, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 116358, HS-grad, 9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 27828, 0, 48, United-States, >50K +48, Private, 240629, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +40, Private, 233320, 7th-8th, 4, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +50, Self-emp-inc, 302708, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 50, Japan, >50K +57, Private, 29375, HS-grad, 9, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K +36, Local-gov, 137314, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K +41, Private, 140886, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +90, Private, 226968, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 151793, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 10, United-States, <=50K +34, Self-emp-not-inc, 56460, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 2179, 12, United-States, <=50K +23, Private, 72887, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 1, Vietnam, <=50K +35, Private, 261646, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, <=50K +32, Private, 178615, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K +33, Private, 295589, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K +32, Self-emp-inc, 377836, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 56510, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 337696, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 183765, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 107846, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +34, Local-gov, 22641, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +35, Private, 204590, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, >50K +29, Private, 114801, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 190591, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +33, State-gov, 220066, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 48, United-States, >50K +22, ?, 228480, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +52, Private, 128378, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 157595, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Local-gov, 152171, 11th, 7, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 10, United-States, <=50K +63, Private, 339755, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K +49, Private, 240841, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +58, Private, 94345, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Self-emp-not-inc, 289116, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +59, Private, 176647, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Self-emp-not-inc, 79627, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Local-gov, 210781, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K +17, ?, 161981, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 493443, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 86459, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K +64, Private, 312242, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K +34, Private, 185408, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +63, Private, 101077, Assoc-acdm, 12, Married-spouse-absent, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +51, Private, 147200, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +40, State-gov, 166327, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +55, Private, 178644, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +35, Private, 126675, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 46, ?, <=50K +30, Private, 158420, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +47, ?, 83046, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K +29, Private, 46609, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +17, ?, 170320, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K +32, Self-emp-not-inc, 37232, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K +55, Private, 141877, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Local-gov, 81654, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 56, United-States, >50K +50, Private, 177705, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 124792, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 45, United-States, >50K +32, Self-emp-not-inc, 129497, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +60, Private, 114413, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +53, Private, 189511, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 111625, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Male, 8614, 0, 40, United-States, >50K +45, Private, 246431, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +31, Private, 147654, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 443546, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 281751, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +28, Private, 263128, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +26, Private, 292692, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +47, Self-emp-inc, 96798, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K +34, Private, 430554, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Private, 317078, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +48, Private, 108557, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 99999, 0, 40, United-States, >50K +32, Private, 207400, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 187089, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 42, United-States, >50K +46, Local-gov, 398986, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 52, United-States, >50K +38, Private, 238980, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, ?, 407495, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +35, Private, 183800, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +61, ?, 226989, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 4865, 0, 40, United-States, <=50K +45, Private, 287190, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K +31, Private, 111363, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-inc, 260938, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +20, Private, 183594, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +64, ?, 49194, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +20, ?, 117618, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 172496, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 389713, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 174413, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, State-gov, 189843, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 198546, Masters, 14, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +21, Private, 82497, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 193090, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +79, Private, 172220, 7th-8th, 4, Widowed, Priv-house-serv, Not-in-family, White, Female, 2964, 0, 30, United-States, <=50K +55, Private, 208451, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +42, ?, 234277, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +60, Private, 163729, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 2597, 0, 40, United-States, <=50K +37, Private, 434097, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +47, Private, 192053, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K +20, State-gov, 178628, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 96827, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +34, Private, 154667, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 160246, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +24, Self-emp-not-inc, 166036, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +23, Private, 186813, HS-grad, 9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +29, Private, 162312, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K +58, Private, 183893, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +55, ?, 270228, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, Black, Male, 7688, 0, 40, United-States, >50K +40, Private, 111829, Masters, 14, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 175669, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +25, State-gov, 104097, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Local-gov, 117618, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 24, United-States, <=50K +34, Self-emp-inc, 202450, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 109570, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +60, Private, 101096, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, >50K +39, Private, 236391, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +21, Private, 136975, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 167523, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2179, 45, United-States, <=50K +33, Private, 240979, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 248612, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +39, Private, 151023, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 114, 0, 45, United-States, <=50K +29, Private, 236436, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K +29, ?, 153167, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 61735, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 243165, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, >50K +24, Private, 388885, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +77, Self-emp-inc, 84979, Doctorate, 16, Married-civ-spouse, Farming-fishing, Husband, White, Male, 20051, 0, 40, United-States, >50K +34, Self-emp-not-inc, 87209, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +53, Self-emp-not-inc, 168539, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +31, Private, 179013, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +58, Private, 196643, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +50, Self-emp-not-inc, 68898, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, United-States, >50K +32, Private, 156464, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 35884, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 182714, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +77, Private, 344425, 9th, 5, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 10, United-States, <=50K +37, Self-emp-not-inc, 177277, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 70767, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 520078, Assoc-acdm, 12, Divorced, Sales, Unmarried, Black, Male, 0, 0, 60, United-States, <=50K +53, Local-gov, 321770, HS-grad, 9, Married-spouse-absent, Transport-moving, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +32, Private, 158416, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 312667, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 208656, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 594, 0, 20, United-States, <=50K +33, Private, 31481, Bachelors, 13, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +31, Private, 259531, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 186239, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 162954, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +27, Private, 249315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +21, Private, 308237, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +24, Private, 103064, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 185847, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K +31, Private, 168521, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 198170, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 353628, 10th, 6, Separated, Sales, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +38, ?, 273285, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +31, Private, 272069, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 22328, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 309212, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +25, Self-emp-inc, 148888, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Local-gov, 324637, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +53, Self-emp-inc, 55139, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +42, ?, 212206, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 1887, 48, United-States, >50K +29, Private, 119004, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2179, 40, United-States, <=50K +45, Private, 252079, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +70, Private, 315868, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-inc, 392325, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K +40, State-gov, 174283, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K +17, Private, 126832, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +18, Private, 126071, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 265706, Masters, 14, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, >50K +41, Private, 282964, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 328518, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, State-gov, 283499, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 286675, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 136472, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K +36, Private, 132879, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +26, Private, 314798, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +62, Private, 143943, Bachelors, 13, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 7, United-States, <=50K +35, Private, 134367, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Local-gov, 366796, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 195573, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 33616, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +31, Private, 164190, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 380281, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, Columbia, <=50K +58, Self-emp-inc, 190763, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Local-gov, 209535, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 156003, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 55699, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 40, United-States, <=50K +28, Private, 183151, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7688, 0, 40, United-States, >50K +40, Private, 198790, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K +33, Self-emp-not-inc, 272359, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 80, United-States, >50K +27, Private, 236481, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 10, India, <=50K +55, Private, 143266, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 25, United-States, <=50K +53, Private, 192386, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 99543, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K +66, Private, 169435, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K +34, Self-emp-not-inc, 34572, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +39, Private, 119272, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 211601, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +26, Private, 154785, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Other, Female, 0, 0, 35, United-States, <=50K +21, Private, 213041, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Cuba, <=50K +59, Private, 229939, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 175331, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 226443, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 46561, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 161311, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +50, Private, 98215, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 118363, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2206, 5, United-States, <=50K +59, Local-gov, 181242, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 356238, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 80, United-States, >50K +56, Self-emp-not-inc, 39380, Some-college, 10, Married-spouse-absent, Farming-fishing, Not-in-family, White, Female, 27828, 0, 20, United-States, >50K +28, Private, 315287, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, ?, <=50K +34, Private, 269723, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 2977, 0, 50, United-States, <=50K +63, Private, 34098, 10th, 6, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 56, United-States, <=50K +48, Private, 50880, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K +41, Federal-gov, 356934, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K +26, Private, 276309, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +47, Private, 175925, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 2179, 52, United-States, <=50K +29, Self-emp-not-inc, 164607, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 224462, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 92863, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 179565, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +59, Self-emp-not-inc, 31137, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +19, Private, 199495, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 175262, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +37, Private, 220585, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Local-gov, 231793, Doctorate, 16, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +34, Federal-gov, 191342, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 38, United-States, <=50K +30, Private, 186420, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 328242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, >50K +56, Private, 279340, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 174478, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 151771, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 145636, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 43, United-States, >50K +21, Private, 120326, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 246439, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 144133, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +44, Local-gov, 145522, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 312055, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 235847, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 50, United-States, <=50K +37, Private, 187748, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 396482, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +49, Private, 261688, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 60, United-States, <=50K +20, Private, 39477, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +37, Private, 143058, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 216867, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, Mexico, <=50K +44, Private, 230592, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +30, Local-gov, 40338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Local-gov, 115457, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 374983, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 285419, 12th, 8, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 385901, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 22, United-States, <=50K +45, State-gov, 187581, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-inc, 299036, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +42, Private, 68729, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +27, Private, 333990, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 117767, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K +43, Private, 184378, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 232591, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 143851, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 89622, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 80, United-States, >50K +34, Private, 202498, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K +72, Private, 268861, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 99, ?, <=50K +54, Private, 343242, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K +30, Private, 460408, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +63, Private, 205246, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 230329, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 197871, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +72, ?, 201375, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 194290, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 191814, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Private, 95168, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +20, ?, 137876, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 386136, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +71, ?, 108390, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 3432, 0, 20, United-States, <=50K +41, Private, 152529, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +35, Private, 214891, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K +18, Private, 133654, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 147548, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +57, Private, 73051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 60166, 1st-4th, 2, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K +25, Self-emp-inc, 454934, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +64, ?, 338355, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 15, United-States, <=50K +35, Self-emp-not-inc, 185621, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 101500, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 36397, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +18, Private, 276540, 12th, 8, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K +21, Private, 293968, Some-college, 10, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +43, ?, 35523, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +32, Local-gov, 186993, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 232132, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +48, Private, 176917, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +40, Private, 105936, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 105821, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K +22, ?, 34506, Some-college, 10, Separated, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +42, Private, 178074, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, ?, 116961, 7th-8th, 4, Widowed, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +34, Private, 191930, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 130807, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 94100, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +65, Self-emp-not-inc, 144822, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +61, Self-emp-inc, 102191, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 99, United-States, <=50K +18, Private, 90934, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 28, United-States, <=50K +49, ?, 296892, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +48, Private, 173243, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Private, 258768, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 2174, 0, 75, United-States, <=50K +30, Private, 189759, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +68, Self-emp-not-inc, 69249, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 133061, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K +65, Self-emp-not-inc, 175202, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K +32, Private, 27051, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, <=50K +44, Private, 60414, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Local-gov, 317360, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +24, Private, 258298, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +58, Private, 174040, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Local-gov, 177566, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, Germany, <=50K +54, Private, 162238, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +35, Private, 87556, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +35, Private, 144322, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +24, Private, 190015, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 183173, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K +38, Self-emp-not-inc, 151322, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Local-gov, 47392, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 107125, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +49, Private, 265295, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 189219, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 16, United-States, <=50K +56, Private, 147989, Some-college, 10, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 185732, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 153516, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 191910, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 216145, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 202872, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 12, United-States, <=50K +62, Self-emp-not-inc, 39630, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +24, ?, 114292, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Local-gov, 206721, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 358585, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K +33, Private, 377283, Bachelors, 13, Separated, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +65, ?, 76043, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 1, United-States, >50K +65, Without-pay, 172949, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2414, 0, 20, United-States, <=50K +46, Private, 110171, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +43, Local-gov, 223861, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 163455, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 183892, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 47022, HS-grad, 9, Widowed, Handlers-cleaners, Other-relative, White, Female, 0, 0, 48, United-States, <=50K +55, Federal-gov, 145401, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 387074, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 105363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4508, 0, 40, United-States, <=50K +59, Federal-gov, 195467, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Local-gov, 170217, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 156807, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 10, United-States, <=50K +26, Private, 255193, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 40, United-States, <=50K +38, Private, 273640, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 191177, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 184787, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +37, State-gov, 239409, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +63, Self-emp-not-inc, 404547, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +27, State-gov, 23740, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 38, United-States, >50K +20, Private, 382153, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K +26, Private, 164488, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +21, ?, 228424, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 168539, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 189530, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 89419, Assoc-voc, 11, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, Columbia, <=50K +35, Private, 224512, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +21, ?, 314645, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +65, Private, 85787, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Local-gov, 279881, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 194287, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 1602, 35, United-States, <=50K +24, Private, 141040, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 222294, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +70, ?, 410980, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K +52, Private, 38795, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +64, Private, 182979, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 223277, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 67065, Assoc-voc, 11, Never-married, Priv-house-serv, Not-in-family, White, Male, 594, 0, 25, United-States, <=50K +47, Federal-gov, 160647, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 45796, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 110597, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +33, Private, 166961, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +52, Private, 318975, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K +49, Private, 305657, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 120857, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 18, United-States, <=50K +62, Self-emp-not-inc, 158712, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 6, United-States, <=50K +44, Private, 304530, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +28, Local-gov, 327533, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K +68, Local-gov, 233954, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, >50K +40, Federal-gov, 26880, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 70754, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 184665, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 245372, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +62, Private, 252668, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +37, Private, 86551, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +35, Private, 241998, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K +44, Private, 106900, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, <=50K +41, Private, 204235, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Local-gov, 127772, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 117217, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +48, Federal-gov, 215389, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K +21, Private, 198050, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +39, Private, 173476, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +38, Private, 217349, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K +44, Private, 377018, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 99894, 10th, 6, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 30, Japan, >50K +25, Private, 170786, 9th, 5, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +32, Local-gov, 250585, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +47, Private, 198769, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +26, Private, 306513, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 178623, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 14084, 0, 60, United-States, >50K +23, Private, 109307, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Federal-gov, 106982, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 396878, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 25, United-States, <=50K +23, Private, 344278, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +45, Private, 203653, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 7298, 0, 40, United-States, >50K +42, Local-gov, 227890, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, <=50K +29, Private, 107812, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +48, Private, 185143, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 143068, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-inc, 114758, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +46, Private, 266337, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 321787, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, State-gov, 21306, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K +18, Private, 271935, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 148952, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +42, Private, 196626, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, ?, 108082, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 199439, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +20, ?, 304076, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +52, Self-emp-inc, 81436, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Self-emp-inc, 352971, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +53, Private, 375134, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +36, Private, 206521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +27, Private, 330466, Bachelors, 13, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +52, Private, 208302, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K +60, Self-emp-not-inc, 135285, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 171615, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +64, Self-emp-not-inc, 149698, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 71351, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, El-Salvador, <=50K +63, Private, 84737, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +54, Local-gov, 375134, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 207103, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 199314, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K +63, Self-emp-not-inc, 289741, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 41310, 0, 50, United-States, <=50K +37, Private, 240837, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +22, Private, 283499, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +54, Private, 97778, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 21698, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, Local-gov, 232618, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 175820, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +25, Local-gov, 63996, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 182985, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +47, Federal-gov, 380127, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 111483, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +18, ?, 31008, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +57, Private, 96346, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 57, United-States, <=50K +22, Private, 317528, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 34, United-States, <=50K +36, State-gov, 223020, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +33, ?, 173998, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 1485, 38, United-States, <=50K +39, Private, 115076, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 133969, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 50, United-States, >50K +41, Private, 173858, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +35, Private, 193241, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K +40, Self-emp-inc, 50644, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K +30, Private, 178841, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 177017, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 37, United-States, <=50K +25, Private, 253267, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1902, 36, United-States, >50K +37, Private, 202027, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 50, United-States, >50K +53, Self-emp-not-inc, 321865, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +34, Self-emp-not-inc, 321709, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +22, Private, 166371, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, ?, <=50K +18, Private, 210574, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +52, ?, 92968, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 15024, 0, 40, United-States, >50K +45, Private, 474617, HS-grad, 9, Divorced, Sales, Unmarried, Black, Male, 5455, 0, 40, United-States, <=50K +19, Private, 264390, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 2001, 40, United-States, <=50K +33, Self-emp-inc, 144949, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K +45, State-gov, 90803, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 126701, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +40, Private, 178417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +41, Self-emp-not-inc, 197176, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, >50K +25, Private, 182227, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K +22, Private, 117606, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 32, United-States, <=50K +52, Private, 349502, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +45, Federal-gov, 81487, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K +32, State-gov, 169583, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +26, Private, 485117, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 35603, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +37, Private, 175390, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Private, 184986, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Local-gov, 174395, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 187711, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 189878, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 224073, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +48, Private, 159726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K +40, ?, 65545, Masters, 14, Divorced, ?, Own-child, White, Female, 0, 0, 55, United-States, <=50K +26, Private, 456618, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 2597, 0, 40, United-States, <=50K +35, Private, 202397, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +21, Private, 206681, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +54, Private, 222020, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +40, Private, 137304, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +51, Private, 141645, Some-college, 10, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 218085, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 50, United-States, <=50K +22, Private, 52596, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 8, United-States, <=50K +20, Private, 197997, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 191444, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 40767, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 172577, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +36, Private, 241998, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +65, State-gov, 215908, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2174, 40, United-States, >50K +48, Private, 212120, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 109133, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, Iran, >50K +20, Private, 224424, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, State-gov, 214985, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 147098, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Local-gov, 149833, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Federal-gov, 253770, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 7298, 0, 40, United-States, >50K +80, Private, 252466, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K +59, State-gov, 132717, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 138944, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 280570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 50, United-States, >50K +56, Self-emp-not-inc, 144380, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +69, Local-gov, 660461, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +49, Private, 177211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 197424, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 40, United-States, <=50K +28, Self-emp-inc, 31717, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +49, Private, 296849, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Local-gov, 193720, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 106698, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +66, Private, 214469, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 13, United-States, <=50K +44, Private, 185798, Assoc-voc, 11, Separated, Craft-repair, Other-relative, White, Male, 0, 0, 48, United-States, >50K +26, Private, 333108, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 35210, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 140845, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 155, 40, United-States, <=50K +25, ?, 335376, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +17, Private, 170455, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K +52, Private, 298215, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +34, ?, 93834, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K +24, Private, 404416, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, ?, 206916, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +65, Private, 143175, Some-college, 10, Widowed, Sales, Other-relative, White, Female, 0, 0, 45, United-States, <=50K +36, Self-emp-not-inc, 409189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 285750, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +43, Private, 235556, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K +39, Local-gov, 170382, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, England, >50K +48, Private, 195437, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Local-gov, 191130, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 231160, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +36, Private, 47310, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 214635, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 36, Haiti, <=50K +50, Federal-gov, 65160, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, State-gov, 423222, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 80, United-States, >50K +34, Private, 263307, Bachelors, 13, Never-married, Sales, Unmarried, Black, Male, 0, 0, 45, ?, <=50K +70, Self-emp-inc, 272896, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 232854, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 442035, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 127875, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +40, Private, 283724, 9th, 5, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 49, United-States, <=50K +46, Private, 403911, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1902, 40, United-States, >50K +21, ?, 228649, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +40, Private, 177027, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 7688, 0, 52, Japan, >50K +47, Private, 249935, 11th, 7, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 8, United-States, <=50K +19, Private, 533147, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +22, Private, 137862, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 16, United-States, <=50K +20, Private, 249543, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 16, United-States, <=50K +46, Local-gov, 230979, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 4787, 0, 25, United-States, >50K +41, Private, 137126, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K +17, Private, 147339, 10th, 6, Never-married, Prof-specialty, Own-child, Other, Female, 0, 0, 15, United-States, <=50K +41, Private, 256647, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 111696, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K +20, ?, 150084, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +24, Private, 285457, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 303867, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Federal-gov, 113597, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +26, Self-emp-not-inc, 151626, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 26145, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 176189, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Federal-gov, 497253, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +41, Private, 41090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 60, United-States, <=50K +38, Self-emp-not-inc, 282461, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K +21, Private, 225541, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 203488, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K +23, ?, 296613, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K +40, Private, 99373, 10th, 6, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Local-gov, 109705, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 144947, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 617898, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 38310, 7th-8th, 4, Divorced, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 248993, HS-grad, 9, Married-spouse-absent, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +65, ?, 149131, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Italy, >50K +33, Private, 69311, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Federal-gov, 143766, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 213477, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 28, United-States, <=50K +24, Private, 275691, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 39, United-States, <=50K +26, Private, 59367, Bachelors, 13, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 35551, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 236784, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 8, Cuba, <=50K +43, Local-gov, 193755, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 315291, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +22, Private, 290504, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 256240, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +69, ?, 199591, Prof-school, 15, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, ?, <=50K +27, Private, 178709, Masters, 14, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 449354, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4386, 0, 45, United-States, >50K +24, Private, 187937, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, Never-worked, 157131, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K +53, Local-gov, 188772, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +26, Private, 157617, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K +60, Private, 96099, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 122322, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 60, United-States, <=50K +39, Private, 409189, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +45, Private, 175925, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +76, Self-emp-not-inc, 236878, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 216647, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +34, Private, 300681, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, Jamaica, >50K +54, Private, 327769, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 194723, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Local-gov, 31251, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 212506, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 23037, 12th, 8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 29054, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 92733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +21, State-gov, 184678, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +37, Federal-gov, 32528, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, England, >50K +63, Private, 125954, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K +35, Private, 73715, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 209212, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 56, ?, <=50K +41, Private, 287037, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 64667, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 60, Vietnam, <=50K +26, Self-emp-inc, 366662, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K +36, Local-gov, 113337, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K +47, Private, 387468, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Scotland, >50K +51, Private, 384248, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K +41, Private, 332703, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Other, Female, 0, 625, 40, United-States, <=50K +40, Private, 198873, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 30, United-States, >50K +32, Private, 317809, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4064, 0, 50, United-States, <=50K +37, Local-gov, 160910, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +40, Self-emp-inc, 182629, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 267652, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 410186, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 365411, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K +28, Private, 205337, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Self-emp-not-inc, 100999, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +44, Private, 197462, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 199143, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 7430, 0, 44, United-States, >50K +47, Private, 191978, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 50178, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 72442, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 248512, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 178140, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K +58, Private, 354024, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +35, Private, 143589, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +35, Private, 219902, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +29, Local-gov, 419722, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 3674, 0, 40, United-States, <=50K +40, Private, 154374, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +33, Private, 132601, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +38, Self-emp-not-inc, 29430, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 30731, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +66, Private, 210825, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Local-gov, 251091, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 219034, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Federal-gov, 35723, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +46, Private, 358886, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 248708, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, ?, 77937, 12th, 8, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K +30, Private, 30063, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +29, Private, 253799, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, England, <=50K +60, ?, 41553, Some-college, 10, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +24, Private, 59146, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +42, Self-emp-not-inc, 343609, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K +26, Private, 216010, HS-grad, 9, Separated, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 164526, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 150958, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 48, Guatemala, <=50K +26, Private, 244495, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +23, Private, 199336, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 151369, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +49, Federal-gov, 118701, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 219611, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 184568, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 246891, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +70, Self-emp-inc, 243436, 9th, 5, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +44, Local-gov, 68318, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 55, United-States, <=50K +58, Private, 56331, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 190591, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K +54, Private, 140359, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 3900, 40, United-States, <=50K +42, Self-emp-inc, 23510, Masters, 14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 2201, 60, India, >50K +28, Private, 122540, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 212562, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K +35, Self-emp-not-inc, 112497, HS-grad, 9, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 35, Ireland, <=50K +82, Private, 147729, 5th-6th, 3, Widowed, Other-service, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +48, Self-emp-not-inc, 296066, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Private, 148138, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, Japan, >50K +68, Private, 50351, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 6360, 0, 20, United-States, <=50K +42, Private, 306496, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 210029, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 2001, 37, United-States, <=50K +54, Private, 163894, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 113936, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 316820, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K +17, Private, 53367, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +46, Self-emp-not-inc, 95256, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +59, Private, 127728, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 66686, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +70, ?, 207627, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2228, 0, 24, United-States, <=50K +57, Self-emp-inc, 199768, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 30, United-States, >50K +47, ?, 186805, HS-grad, 9, Married-civ-spouse, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +31, Private, 154297, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K +23, Private, 103064, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 93235, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 1721, 25, United-States, <=50K +63, Private, 440607, Preschool, 1, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 30, Mexico, <=50K +44, Private, 212894, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +30, Private, 167990, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 378460, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +44, Private, 151089, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 60, United-States, >50K +24, Private, 153583, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 114639, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +37, Private, 344480, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K +24, Private, 188300, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 105938, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 217826, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 25, Jamaica, <=50K +20, Private, 379525, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +34, State-gov, 177331, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 4386, 0, 40, United-States, >50K +37, Private, 127918, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 20, Puerto-Rico, <=50K +47, Federal-gov, 27067, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 250038, 9th, 5, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 45, Mexico, <=50K +36, Self-emp-not-inc, 36270, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1977, 65, United-States, >50K +60, Private, 308608, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +64, Self-emp-inc, 213574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 10, United-States, <=50K +32, Local-gov, 235109, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +33, State-gov, 374905, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +71, Private, 118876, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K +55, Local-gov, 223716, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +85, Self-emp-not-inc, 166027, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +57, Self-emp-not-inc, 275943, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K +39, Private, 198654, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2415, 67, India, >50K +25, Private, 109080, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K +58, Private, 104333, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 195876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 390879, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +19, Private, 197748, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +40, Private, 442045, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 44216, HS-grad, 9, Never-married, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +43, Federal-gov, 114537, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, ?, 253370, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 35, United-States, >50K +19, Private, 274830, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +24, Private, 321763, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +34, Private, 213226, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, >50K +22, Private, 167787, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +64, Self-emp-not-inc, 352712, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +55, ?, 316027, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, <=50K +26, Private, 213412, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +80, Private, 202483, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +79, Local-gov, 146244, Doctorate, 16, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 450544, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 81243, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K +43, Private, 195258, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 57929, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +35, Private, 953588, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +51, Private, 99064, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +52, Local-gov, 194788, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 4787, 0, 60, United-States, >50K +43, Self-emp-inc, 155293, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +68, Private, 204082, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +34, State-gov, 216283, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +37, Private, 355856, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K +22, Private, 297380, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +32, Private, 425622, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +65, Self-emp-not-inc, 145628, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 115549, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 245482, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +40, Self-emp-inc, 142444, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +40, Private, 134026, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 177366, HS-grad, 9, Separated, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +35, Private, 38245, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +62, Self-emp-not-inc, 215944, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +49, Private, 115784, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +49, Private, 170165, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 55, United-States, <=50K +47, Private, 355320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +45, Private, 116163, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 405644, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 77, Mexico, <=50K +36, Local-gov, 223433, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 53, United-States, >50K +36, Private, 41624, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, Mexico, <=50K +44, Private, 151089, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K +51, State-gov, 285747, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K +25, State-gov, 108542, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 212318, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +57, Private, 173090, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +46, Private, 26781, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +59, Private, 31782, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 189241, 11th, 7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 164229, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 2597, 0, 40, United-States, <=50K +35, Private, 240467, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 263614, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Private, 74500, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Federal-gov, 263502, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Federal-gov, 47707, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +26, Private, 231638, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +55, ?, 389479, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Private, 111128, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 152307, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +23, ?, 280134, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 609789, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, ?, <=50K +41, Private, 184466, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, <=50K +44, Private, 216411, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Dominican-Republic, <=50K +48, Self-emp-not-inc, 324173, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +35, Local-gov, 300681, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 7298, 0, 35, United-States, >50K +43, Local-gov, 598995, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 42, United-States, <=50K +57, Federal-gov, 140711, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Local-gov, 262241, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 308136, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 148590, 10th, 6, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 195635, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2051, 38, United-States, <=50K +30, Private, 228406, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 136398, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Thailand, >50K +21, ?, 305466, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 70, United-States, <=50K +50, Self-emp-inc, 175070, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +43, Self-emp-not-inc, 34007, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K +33, Private, 121195, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 50, United-States, <=50K +23, Federal-gov, 216853, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K +35, Private, 81280, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, Yugoslavia, >50K +18, Private, 212936, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +21, ?, 213055, Some-college, 10, Never-married, ?, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K +33, Local-gov, 220430, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 70, United-States, >50K +30, Federal-gov, 73514, Bachelors, 13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 45, United-States, <=50K +21, Private, 307371, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 15, United-States, <=50K +36, Local-gov, 380614, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, Germany, >50K +38, Private, 119992, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 192002, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, Canada, >50K +24, Private, 327518, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +24, Private, 220323, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 421633, Some-college, 10, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +43, Private, 154210, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 2829, 0, 60, China, <=50K +43, Self-emp-not-inc, 35034, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 21, United-States, <=50K +62, ?, 378239, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K +30, State-gov, 270218, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 254933, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 61751, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K +22, Private, 137876, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +73, Private, 336007, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2246, 40, United-States, >50K +26, Private, 222539, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 233856, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K +18, Private, 198616, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 20, United-States, <=50K +35, Private, 202027, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7298, 0, 35, United-States, >50K +22, Private, 203182, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +28, Private, 221317, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +38, Private, 186934, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +68, ?, 351402, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K +40, Local-gov, 179580, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 26803, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 84, United-States, >50K +42, Private, 344624, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 50, United-States, >50K +31, State-gov, 59969, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 162930, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Italy, <=50K +54, Self-emp-not-inc, 192654, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +63, Private, 117681, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +67, Self-emp-not-inc, 179285, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 217161, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 14, United-States, <=50K +67, Self-emp-inc, 116517, Bachelors, 13, Widowed, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 170336, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Other, Female, 0, 0, 19, United-States, <=50K +33, Local-gov, 256529, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 80, United-States, <=50K +25, Local-gov, 227886, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 141706, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 361888, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 185407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +35, Self-emp-not-inc, 176101, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, >50K +18, Private, 216730, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +54, ?, 155755, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 4416, 0, 25, United-States, <=50K +30, Private, 609789, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, Mexico, <=50K +29, Private, 136017, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +41, Private, 58880, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 10, United-States, >50K +40, Private, 285787, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 173243, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 5178, 0, 40, United-States, >50K +39, Private, 160916, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 45, United-States, <=50K +42, Private, 227397, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +49, Self-emp-not-inc, 111066, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 189924, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 31740, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 120837, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2042, 48, United-States, <=50K +31, Private, 172304, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +72, ?, 166253, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 2, United-States, <=50K +31, Private, 86492, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, >50K +90, Private, 206667, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +27, Self-emp-not-inc, 153546, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +18, ?, 189041, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 115932, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K +27, Local-gov, 151626, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 37302, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 109001, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 195488, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K +43, Local-gov, 216116, Masters, 14, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +26, Private, 118497, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +48, Self-emp-not-inc, 101233, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K +41, Private, 349703, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +32, Private, 226883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K +23, Private, 214635, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 169672, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K +42, Private, 71458, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, State-gov, 142621, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K +34, Private, 125279, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 197303, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Local-gov, 148995, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 4787, 0, 45, United-States, >50K +34, Private, 69251, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +39, Private, 160123, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 137310, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, ?, <=50K +25, Private, 323229, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 138626, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 2174, 0, 50, United-States, <=50K +46, Private, 102359, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 151888, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 4650, 0, 50, Ireland, <=50K +37, Private, 404661, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 99146, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +38, Self-emp-not-inc, 185325, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Self-emp-not-inc, 230268, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 38819, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 380614, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 13, United-States, >50K +45, Private, 319637, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +71, Private, 149040, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 320984, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +19, ?, 117201, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 22, United-States, <=50K +38, Private, 81965, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Local-gov, 182302, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 53434, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +48, Private, 216214, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 24127, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, >50K +32, Federal-gov, 115066, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 120277, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +57, Self-emp-not-inc, 134286, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +55, Private, 26716, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +48, ?, 174533, 11th, 7, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 175958, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, ?, <=50K +36, Private, 218948, 9th, 5, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +66, Private, 117746, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 206199, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 89922, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +62, Private, 69867, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +31, Private, 109020, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K +77, ?, 158847, Assoc-voc, 11, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +25, Private, 130302, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 156728, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 56, United-States, <=50K +33, Private, 424719, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Federal-gov, 217647, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 33087, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Federal-gov, 241895, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 38455, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 81054, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 163215, 12th, 8, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 156728, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 127930, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +46, Federal-gov, 227310, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +24, Private, 96844, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K +18, Private, 245199, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 46385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 186385, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K +55, Private, 252714, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 154897, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +41, Private, 320744, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 138852, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +48, Private, 102092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, ?, 32533, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +45, Private, 278151, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 338290, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 34378, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +43, Private, 91959, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +36, Private, 265881, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 276009, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K +27, Private, 193898, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 139364, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +47, State-gov, 306473, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 37232, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +19, State-gov, 56424, 12th, 8, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +33, Private, 165235, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Thailand, <=50K +34, Private, 153326, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 106976, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 109015, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +59, Private, 154100, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 27828, 0, 45, United-States, >50K +36, Private, 183739, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Female, 0, 2002, 40, United-States, <=50K +60, Private, 367695, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Local-gov, 156015, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 185132, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +20, Self-emp-not-inc, 188274, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K +28, Local-gov, 50512, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2202, 0, 50, United-States, <=50K +24, State-gov, 147719, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K +31, Private, 414525, 12th, 8, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K +38, Private, 289148, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 176069, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +55, State-gov, 199713, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K +49, Private, 297884, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4064, 0, 50, United-States, <=50K +33, Private, 204829, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +52, Private, 155433, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, ?, <=50K +24, Local-gov, 32950, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +46, Private, 233511, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +20, Private, 210781, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +50, Private, 190762, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +22, Private, 83315, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 343872, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, Haiti, <=50K +46, Private, 185385, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +62, ?, 302142, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2961, 0, 30, United-States, <=50K +39, Private, 80324, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 62, United-States, >50K +26, Private, 357933, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +20, Private, 211293, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 14, United-States, <=50K +37, Self-emp-inc, 199265, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 202872, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +22, Private, 195075, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K +32, Private, 317378, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 10520, 0, 40, United-States, >50K +41, Private, 187802, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 97212, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 47902, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, State-gov, 76767, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 39, United-States, >50K +42, Private, 172297, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, >50K +56, Private, 274475, 9th, 5, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 105244, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +55, Local-gov, 165695, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 253801, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 305597, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 352448, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +26, Private, 242768, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +49, Self-emp-inc, 201080, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +18, Local-gov, 159032, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 149568, 9th, 5, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +24, Private, 229553, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 20, ?, <=50K +24, State-gov, 155775, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 120074, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 257588, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 177907, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, <=50K +40, Private, 309311, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 138975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +43, Self-emp-not-inc, 187778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +19, Private, 35865, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +50, Private, 234373, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, <=50K +17, ?, 151141, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +39, Private, 144688, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 50, United-States, <=50K +43, Private, 248094, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 248094, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 213821, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +31, State-gov, 55849, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 121712, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Federal-gov, 164552, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K +55, Private, 223127, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 190514, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 75, United-States, <=50K +29, Private, 203797, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 378460, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 10520, 0, 60, United-States, >50K +30, Private, 105908, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 232356, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 55, United-States, <=50K +23, Private, 210526, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +71, Private, 193530, 11th, 7, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K +22, ?, 22966, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K +21, Private, 43535, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +62, ?, 72486, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 24, China, <=50K +22, ?, 229997, Some-college, 10, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Private, 183013, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 113364, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 197380, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 298635, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, >50K +26, Private, 213385, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +30, ?, 108464, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 31007, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +26, Private, 35917, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 99385, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K +50, Private, 48358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +31, Private, 241885, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +51, Private, 24344, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 149686, 9th, 5, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, State-gov, 154432, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 331875, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K +26, Private, 259585, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +51, Private, 104748, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, Local-gov, 144949, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, State-gov, 199512, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 302438, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, ?, 129155, 11th, 7, Widowed, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +49, Federal-gov, 115784, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 96509, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K +62, Private, 226733, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Self-emp-inc, 244945, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +76, Private, 243768, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +40, ?, 351161, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 186934, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 89813, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +54, Self-emp-inc, 129432, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +55, Self-emp-not-inc, 184702, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 275291, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 12, United-States, <=50K +20, Private, 258298, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +39, Private, 139743, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 102476, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 10520, 0, 64, United-States, >50K +20, Private, 103840, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 42, United-States, <=50K +28, Private, 274579, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +56, Federal-gov, 156842, Some-college, 10, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 101020, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Federal-gov, 68729, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +55, Private, 141326, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Self-emp-not-inc, 168723, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 347166, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 13550, 0, 45, United-States, >50K +34, Local-gov, 213722, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 57, United-States, >50K +42, Private, 196797, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +50, Self-emp-inc, 207246, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 75, United-States, <=50K +34, Federal-gov, 199934, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +23, Private, 272185, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 33, United-States, <=50K +27, ?, 190650, Bachelors, 13, Never-married, ?, Unmarried, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K +81, ?, 147097, Bachelors, 13, Widowed, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K +47, Private, 266281, 11th, 7, Never-married, Machine-op-inspct, Unmarried, Black, Female, 6849, 0, 40, United-States, <=50K +57, Private, 96779, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +65, ?, 117162, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 56, United-States, >50K +33, Private, 188352, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +37, Private, 359131, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +53, Private, 198824, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, State-gov, 68393, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 115613, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Private, 45363, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 121590, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 4787, 0, 40, United-States, >50K +58, Local-gov, 292379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 482732, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 24, United-States, <=50K +19, Private, 198663, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 230329, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +51, Private, 29887, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +52, Private, 194259, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K +53, Private, 126368, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +50, Private, 108446, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 220696, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 32008, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 72, United-States, <=50K +30, Private, 191777, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +50, Private, 185846, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +76, Private, 127016, 7th-8th, 4, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 102308, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 40, United-States, >50K +24, Private, 157894, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 345405, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 94156, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +50, Private, 145409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +22, Private, 190968, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K +23, Local-gov, 212803, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +51, Private, 168660, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +58, Private, 234481, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 131461, 9th, 5, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 24, Haiti, <=50K +45, Private, 408773, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 126117, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 155489, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +42, Private, 296749, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +44, State-gov, 185832, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, >50K +60, Private, 43235, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 213152, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 334267, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +61, ?, 253101, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +43, Private, 64631, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +44, Local-gov, 193882, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K +63, Private, 71800, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K +46, Local-gov, 170092, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +47, Private, 198223, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 359796, Some-college, 10, Divorced, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 110556, HS-grad, 9, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 196858, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +48, ?, 112860, 10th, 6, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, United-States, <=50K +61, Self-emp-not-inc, 224784, Assoc-acdm, 12, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 90, United-States, <=50K +53, Federal-gov, 271544, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1977, 40, United-States, >50K +79, ?, 142171, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 1409, 0, 35, United-States, <=50K +44, Private, 221172, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +54, Private, 256916, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 157332, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Federal-gov, 192894, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, >50K +18, Private, 240183, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +25, Private, 204338, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +24, Private, 122166, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Iran, <=50K +37, Local-gov, 397877, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Private, 115066, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 2547, 40, United-States, >50K +35, Self-emp-not-inc, 170174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 60, United-States, >50K +59, Private, 171015, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 34, United-States, <=50K +46, Private, 91262, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +45, Local-gov, 127678, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K +19, Private, 263338, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +22, Private, 129508, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 28, United-States, <=50K +41, Private, 192107, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 93930, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Federal-gov, 207537, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +22, Private, 138542, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, <=50K +29, Self-emp-not-inc, 116207, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K +22, Private, 198244, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K +34, Private, 90614, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 2042, 10, United-States, <=50K +23, Private, 211160, 12th, 8, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 194630, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3781, 0, 50, United-States, <=50K +25, Private, 161478, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +59, Private, 144071, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 167005, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 55, United-States, <=50K +55, Private, 342121, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +77, Self-emp-not-inc, 71676, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 1944, 1, United-States, <=50K +42, Private, 124692, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 147236, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 145175, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 259323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 154978, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +60, ?, 163946, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 127768, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 98588, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 192894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 194848, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 34446, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +23, Local-gov, 177265, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 45, United-States, <=50K +30, Private, 142977, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +45, Private, 241350, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K +30, Private, 154882, Prof-school, 15, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +17, Private, 60562, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +22, Private, 142566, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 176162, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 186303, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, Canada, >50K +40, Private, 237671, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +18, ?, 184416, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +58, Private, 68624, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 229504, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +59, Private, 340591, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3942, 0, 40, United-States, <=50K +29, Private, 262208, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, Jamaica, <=50K +26, Private, 236008, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Local-gov, 214284, Bachelors, 13, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 10, Japan, <=50K +33, Private, 169496, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +21, ?, 205940, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 195179, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K +25, Private, 469697, Some-college, 10, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 140242, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +44, Private, 214415, Some-college, 10, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 452283, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 244172, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 231972, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 412296, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, >50K +32, Private, 30497, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 189216, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +36, Private, 268292, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K +38, Private, 69306, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +57, State-gov, 111224, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 39, United-States, <=50K +22, State-gov, 309348, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +80, ?, 174995, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, Canada, <=50K +20, Private, 210781, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +40, Private, 286750, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 36, United-States, <=50K +36, Self-emp-not-inc, 321274, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 192936, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 72743, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +43, Private, 187861, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +35, Private, 179579, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 663394, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 302422, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, ?, 154373, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K +49, Local-gov, 37353, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Self-emp-not-inc, 109609, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 184402, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +20, Private, 224640, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 405526, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 36385, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2258, 50, United-States, <=50K +20, Private, 147884, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 164231, 11th, 7, Separated, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K +25, Private, 383306, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 417668, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 36, United-States, <=50K +25, Private, 161007, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +63, State-gov, 99823, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 32, United-States, <=50K +25, Private, 37379, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +28, Private, 148645, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 180477, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +28, Private, 123147, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K +30, Private, 111415, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Local-gov, 107327, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Local-gov, 146565, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 4865, 0, 30, United-States, <=50K +36, Private, 267556, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 40, United-States, <=50K +47, Private, 284871, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +27, Private, 194690, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, Mexico, <=50K +32, Federal-gov, 145983, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 163998, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 45, United-States, >50K +50, Private, 128478, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K +21, Private, 250647, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 30, Nicaragua, <=50K +60, Private, 226949, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +47, Private, 157901, 11th, 7, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 36, United-States, <=50K +54, Self-emp-not-inc, 33863, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Local-gov, 40444, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +61, Private, 54373, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 52753, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K +29, Self-emp-not-inc, 104423, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 4386, 0, 45, United-States, >50K +36, Local-gov, 305714, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 70, United-States, <=50K +38, Local-gov, 167440, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +59, Private, 291529, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +43, Private, 243380, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 38619, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +42, Private, 230684, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K +33, Private, 132601, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 193285, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 5013, 0, 40, United-States, <=50K +51, Private, 279156, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +28, Private, 339372, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 101265, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +23, Private, 117789, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +31, Private, 312667, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 255503, 11th, 7, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +21, Private, 221955, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +22, Private, 139190, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 185556, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +53, Federal-gov, 84278, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +40, Private, 114580, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 24, United-States, >50K +36, Private, 185405, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Self-emp-not-inc, 199539, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +23, Private, 346480, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +51, Local-gov, 349431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K +31, Private, 219619, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 48, United-States, <=50K +28, Local-gov, 127491, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 5721, 0, 40, United-States, <=50K +26, Self-emp-not-inc, 253899, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 155232, Bachelors, 13, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 60, United-States, >50K +43, Private, 182437, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +19, Private, 530454, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +46, Private, 101430, 11th, 7, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +49, Local-gov, 358668, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Private, 90668, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 126141, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 238355, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +22, Private, 194031, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +25, Private, 117833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K +46, Private, 249686, Prof-school, 15, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +44, Self-emp-not-inc, 219591, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 221757, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 80625, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 185407, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +34, Private, 163110, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +34, ?, 24504, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 159187, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 55, United-States, >50K +21, Private, 100462, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 2174, 0, 60, United-States, <=50K +27, Private, 192936, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 145011, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-inc, 181196, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Self-emp-not-inc, 37778, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +27, Private, 60288, Masters, 14, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 84231, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K +24, Private, 52028, 1st-4th, 2, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 5, Vietnam, <=50K +63, Private, 318763, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 22, United-States, <=50K +29, Private, 168138, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 113530, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 321896, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 145791, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 131425, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 145214, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 4650, 0, 20, United-States, <=50K +64, Local-gov, 142166, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, <=50K +20, Private, 494784, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +44, Self-emp-not-inc, 172479, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 60, United-States, >50K +35, Private, 184655, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +41, Local-gov, 26669, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 191479, Some-college, 10, Divorced, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 86625, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, ?, <=50K +64, State-gov, 111795, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +42, Private, 242564, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 2205, 40, United-States, <=50K +31, Private, 364657, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K +42, Self-emp-not-inc, 436107, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 272476, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, >50K +36, Federal-gov, 47310, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, >50K +23, Private, 283796, 12th, 8, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K +20, Private, 161092, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 14, United-States, <=50K +26, Local-gov, 265230, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +56, Federal-gov, 61885, Bachelors, 13, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 2001, 65, United-States, <=50K +40, Private, 150471, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 183041, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K +33, Private, 176673, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +45, Federal-gov, 235891, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K +41, Private, 163287, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 43, United-States, >50K +29, Private, 164040, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 324561, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +48, Private, 99127, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 334999, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 543477, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 65876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Local-gov, 105866, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 30, United-States, <=50K +27, Private, 214858, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 154076, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +70, Private, 280307, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, Cuba, <=50K +30, Private, 97723, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K +24, Private, 233499, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +76, Local-gov, 259612, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 15, United-States, <=50K +25, Private, 236977, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +39, Private, 347814, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 56, United-States, <=50K +36, Local-gov, 197495, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 227594, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 165441, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 337488, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +54, Private, 167552, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Haiti, >50K +20, Private, 396722, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Federal-gov, 146538, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 51973, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 144778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 169672, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 240137, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K +54, State-gov, 103179, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +17, Private, 172050, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K +43, Private, 178976, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 176185, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2258, 42, United-States, <=50K +30, Private, 158200, Prof-school, 15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K +38, Federal-gov, 172571, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +54, Self-emp-not-inc, 226735, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 45, United-States, <=50K +39, Private, 148015, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 52, United-States, <=50K +32, Private, 199529, Some-college, 10, Separated, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male, 0, 1980, 40, United-States, <=50K +61, Local-gov, 35001, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2885, 0, 40, United-States, <=50K +24, ?, 67586, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, United-States, <=50K +22, Private, 88126, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 226296, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 452452, 10th, 6, Never-married, Priv-house-serv, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +20, Private, 378546, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K +53, Federal-gov, 186087, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 27856, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +68, Self-emp-not-inc, 234859, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 71733, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +28, Private, 207473, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +54, Private, 179291, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 56, Haiti, >50K +21, ?, 253190, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 48, United-States, <=50K +52, Private, 92968, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, ?, <=50K +25, Private, 209286, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 122889, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K +33, Private, 112358, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +49, Private, 176341, Bachelors, 13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K +58, Private, 247276, 7th-8th, 4, Widowed, Other-service, Not-in-family, Other, Female, 0, 0, 30, United-States, <=50K +45, Private, 276087, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, >50K +67, Private, 257557, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 10566, 0, 40, United-States, <=50K +42, Local-gov, 177937, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, ?, <=50K +69, Self-emp-inc, 106395, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +61, Private, 167138, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 213887, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 185647, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 143360, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 34, United-States, <=50K +31, Self-emp-not-inc, 176862, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Federal-gov, 97614, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +76, ?, 224680, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 1258, 20, United-States, <=50K +53, Private, 196763, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +46, Private, 306183, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +43, Self-emp-not-inc, 343061, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4508, 0, 40, Cuba, <=50K +48, ?, 193047, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 348521, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2415, 99, United-States, >50K +59, Private, 195835, 7th-8th, 4, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 106273, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K +40, Private, 222756, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +63, Self-emp-inc, 110610, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, ?, 191982, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 10, Poland, <=50K +46, Private, 247286, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 219042, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 224566, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1669, 45, United-States, <=50K +57, Private, 204751, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Private, 113398, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +25, ?, 170428, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 28, Taiwan, <=50K +59, Private, 258579, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 35, United-States, >50K +36, Private, 162424, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 263005, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Germany, <=50K +49, Self-emp-inc, 26502, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 6497, 0, 45, United-States, <=50K +42, Private, 369131, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +43, Local-gov, 114859, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 17, United-States, <=50K +46, Private, 405309, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 323627, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +40, Private, 106698, Assoc-acdm, 12, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 51506, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 117251, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +26, Private, 106705, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 28, United-States, <=50K +30, Private, 217296, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K +58, Private, 34788, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K +43, Private, 143368, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +53, Local-gov, 86600, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +74, State-gov, 117017, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K +64, ?, 104756, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 8, United-States, <=50K +45, Private, 55720, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +32, State-gov, 481096, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 10, United-States, <=50K +23, ?, 281668, 10th, 6, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 186145, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +42, Self-emp-not-inc, 96524, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Local-gov, 187397, Some-college, 10, Never-married, Protective-serv, Unmarried, Other, Male, 1151, 0, 40, United-States, <=50K +63, Private, 181153, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +25, Local-gov, 375170, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +37, Private, 360743, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 420054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K +31, Private, 137681, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 28419, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +44, Private, 101214, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 44, United-States, >50K +42, Local-gov, 213019, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +45, Private, 207540, Doctorate, 16, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K +52, Private, 145333, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 107306, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 195327, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 196126, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +17, Private, 175465, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 14, United-States, <=50K +27, Private, 197905, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +71, Self-emp-inc, 118119, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 50, United-States, >50K +35, Private, 172571, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 25051, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +26, Private, 210714, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K +22, Private, 183083, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +51, Private, 99185, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +33, Private, 283921, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 396467, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K +50, Private, 158680, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 202091, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 285127, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 218630, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Self-emp-inc, 99309, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 165505, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +22, Private, 122272, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +58, Private, 147707, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +47, Federal-gov, 44257, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +51, Self-emp-inc, 194995, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +42, State-gov, 345969, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +28, Private, 31842, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 143582, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Vietnam, <=50K +50, Private, 161438, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 317019, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +47, Self-emp-not-inc, 158451, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +60, Private, 225883, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 27, United-States, <=50K +46, Self-emp-not-inc, 176319, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Female, 7298, 0, 40, United-States, >50K +58, Self-emp-inc, 258883, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +62, Private, 26966, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 202812, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +59, Private, 35411, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 190885, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +31, Private, 182162, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K +18, Private, 352640, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +64, Self-emp-not-inc, 213945, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Self-emp-not-inc, 135102, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +47, Self-emp-not-inc, 102583, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +68, Private, 225612, Bachelors, 13, Widowed, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, >50K +32, Private, 241802, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Other, Female, 0, 0, 40, United-States, <=50K +39, Private, 347434, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 43, Mexico, <=50K +37, Private, 305259, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +29, Private, 140830, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 291568, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 40, United-States, <=50K +46, Private, 203067, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 155106, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +19, ?, 252752, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +65, ?, 404601, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2414, 0, 30, United-States, <=50K +52, Local-gov, 100226, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +40, Private, 63503, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +61, Private, 95929, 9th, 5, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 187618, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +61, Self-emp-not-inc, 92178, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 220362, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, >50K +32, Local-gov, 209900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K +32, Private, 272376, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 173854, Bachelors, 13, Divorced, Prof-specialty, Other-relative, White, Male, 0, 0, 35, United-States, >50K +37, Private, 278924, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 324568, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +51, Self-emp-inc, 124963, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 211299, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K +48, Private, 192791, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +69, Private, 182862, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 15831, 0, 40, United-States, >50K +28, Private, 46868, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Local-gov, 31365, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +45, Private, 148171, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K +18, Private, 142647, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +60, Private, 116230, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 108907, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, ?, <=50K +19, Private, 495982, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K +18, Private, 334026, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K +33, Private, 268571, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 213813, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 241667, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +37, Private, 160920, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +50, Private, 107265, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +19, ?, 41609, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K +28, Private, 129460, 10th, 6, Widowed, Adm-clerical, Unmarried, White, Female, 0, 2238, 35, United-States, <=50K +43, ?, 109912, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 7, United-States, >50K +23, Private, 167424, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +47, Private, 270079, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 325923, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 35, United-States, <=50K +19, Private, 194905, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K +47, Local-gov, 183486, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +36, Federal-gov, 153066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Self-emp-inc, 56248, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2415, 60, United-States, >50K +65, Private, 105252, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Self-emp-not-inc, 168195, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, >50K +35, Private, 167735, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 6849, 0, 40, United-States, <=50K +50, Private, 146310, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 256504, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 6, United-States, <=50K +17, Private, 121425, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K +33, Private, 146440, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +57, ?, 155259, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Self-emp-not-inc, 98829, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Self-emp-inc, 239321, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Self-emp-inc, 134768, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +35, Private, 556902, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 47907, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +23, Private, 114357, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 189462, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1504, 45, United-States, <=50K +39, Private, 90646, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 232914, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 38, United-States, <=50K +24, Private, 192201, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +23, Private, 27776, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 137476, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K +30, Private, 100734, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, <=50K +34, Private, 111746, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Portugal, <=50K +32, Private, 184833, 10th, 6, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 414721, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 1602, 23, United-States, <=50K +20, Private, 151780, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +38, State-gov, 203628, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +18, Private, 137363, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 172307, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 273403, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +36, State-gov, 37931, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K +61, Private, 97030, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +30, Private, 54608, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +26, Private, 108542, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 253814, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +45, Private, 421412, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +47, Private, 207140, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +19, Private, 138153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +29, Private, 46987, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +51, Self-emp-inc, 183173, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +34, Local-gov, 229531, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +42, Self-emp-not-inc, 320744, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 45, United-States, <=50K +26, Private, 257405, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, Mexico, <=50K +20, State-gov, 432052, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +43, Private, 397280, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +20, Private, 38001, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +27, Private, 101618, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Federal-gov, 332727, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 115215, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 178449, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K +42, Private, 185267, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 32, United-States, <=50K +23, Private, 410439, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K +29, Private, 85572, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 42, United-States, >50K +27, Private, 83517, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K +43, Self-emp-not-inc, 194726, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +23, Private, 322674, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Local-gov, 34540, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +35, Local-gov, 211073, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 61, United-States, >50K +30, Private, 194901, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 117059, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +65, Self-emp-not-inc, 78875, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2290, 0, 40, United-States, <=50K +28, Private, 51461, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +79, Private, 266119, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 92374, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 35, United-States, >50K +54, Private, 175262, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 208249, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 62, United-States, <=50K +30, Private, 196385, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K +22, ?, 110622, Bachelors, 13, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, Taiwan, <=50K +34, Private, 146980, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 65, United-States, <=50K +18, Private, 112974, 11th, 7, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 3, United-States, <=50K +40, Self-emp-not-inc, 175943, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 15, United-States, >50K +28, Private, 163265, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 4508, 0, 40, United-States, <=50K +18, Private, 210932, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 145290, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 198992, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +77, ?, 174887, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K +41, Federal-gov, 36651, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 40, United-States, >50K +48, Private, 190072, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +29, Private, 49087, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 126622, 11th, 7, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 174189, 9th, 5, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 118605, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +49, Self-emp-not-inc, 377622, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 157272, HS-grad, 9, Separated, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 78530, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 190391, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +62, State-gov, 162678, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 103980, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, <=50K +20, Private, 293726, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 98350, Preschool, 1, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +30, Private, 207668, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 60, Hungary, <=50K +29, Federal-gov, 41013, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +50, Private, 188186, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 1590, 45, United-States, <=50K +44, Federal-gov, 320071, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 306908, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +62, Private, 167652, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 173580, Some-college, 10, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 273612, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +26, Private, 195555, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 186446, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 418405, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Local-gov, 41793, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, ?, <=50K +26, Private, 183965, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 354784, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +44, Private, 198096, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +32, Private, 732102, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 97847, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 196678, Preschool, 1, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K +19, Private, 320014, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +54, Self-emp-inc, 298215, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 295127, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 368140, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Self-emp-not-inc, 187411, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, ?, <=50K +22, ?, 121070, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K +34, Private, 212163, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K +35, Self-emp-not-inc, 108198, HS-grad, 9, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 15, United-States, <=50K +42, Federal-gov, 294431, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Federal-gov, 202560, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +29, Self-emp-inc, 266070, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K +34, Private, 346122, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-inc, 308686, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K +62, Self-emp-inc, 236096, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 187711, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 238959, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 93557, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 329980, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 125010, Assoc-voc, 11, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +60, Self-emp-inc, 90915, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 289731, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +74, ?, 33114, 10th, 6, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 1797, 0, 30, United-States, <=50K +63, Private, 206052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 191385, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, ?, 268804, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K +40, Self-emp-inc, 191429, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +35, Self-emp-not-inc, 199753, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K +50, Local-gov, 92486, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 171088, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K +33, Private, 112820, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 32855, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +17, Private, 142964, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +47, Private, 89146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K +51, ?, 147015, Some-college, 10, Divorced, ?, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +26, Private, 291968, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Local-gov, 29235, Some-college, 10, Married-civ-spouse, Protective-serv, Wife, White, Female, 0, 0, 40, France, >50K +55, Private, 238216, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 323726, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +54, Private, 141663, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +19, ?, 218471, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 1602, 30, United-States, <=50K +32, Private, 118551, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +52, Local-gov, 35092, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 139703, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, Black, Female, 0, 0, 28, Jamaica, <=50K +39, Federal-gov, 206190, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +59, Self-emp-not-inc, 178353, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +55, Federal-gov, 169133, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 103179, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +31, Private, 354464, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 124651, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +30, Private, 60426, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +47, Federal-gov, 98726, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 133861, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 180303, Bachelors, 13, Divorced, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 47, Iran, <=50K +33, Private, 221324, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 325658, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 210562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 152249, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K +29, Private, 178649, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 20, France, <=50K +41, State-gov, 48997, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 243409, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +34, Private, 162442, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +23, Private, 203078, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 24, United-States, <=50K +53, Self-emp-inc, 155983, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +45, Self-emp-not-inc, 182677, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K +34, ?, 170276, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 10, United-States, >50K +47, Private, 105381, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, ?, 256240, 7th-8th, 4, Married-civ-spouse, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K +42, Private, 210275, Masters, 14, Divorced, Tech-support, Unmarried, Black, Female, 4687, 0, 35, United-States, >50K +53, Private, 150980, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 40, United-States, <=50K +38, Self-emp-inc, 141584, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +26, Private, 113571, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +18, Private, 154089, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +43, Private, 50197, 10th, 6, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +26, Private, 132572, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 32, United-States, <=50K +47, Private, 238185, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 112754, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K +21, ?, 357029, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 2105, 0, 20, United-States, <=50K +32, State-gov, 213389, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 1726, 38, United-States, <=50K +48, Self-emp-inc, 287647, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K +39, Private, 150061, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 15020, 0, 60, United-States, >50K +58, Self-emp-inc, 143266, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 68006, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Female, 0, 0, 60, United-States, <=50K +40, Private, 287079, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +33, Private, 223212, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +74, Self-emp-not-inc, 173929, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, >50K +49, Self-emp-not-inc, 182211, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +56, Self-emp-not-inc, 62539, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 65, Greece, >50K +29, Private, 157612, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K +25, Private, 305472, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 48, United-States, <=50K +57, Private, 548256, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 40295, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 112403, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 2354, 0, 40, United-States, <=50K +59, Private, 31137, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 116138, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K +28, ?, 127833, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 201743, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +40, Private, 240027, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K +28, Private, 129882, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, ?, 355890, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, >50K +20, Private, 107658, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, Canada, <=50K +58, Private, 136841, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 35, United-States, >50K +19, Private, 146679, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +75, ?, 35724, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +24, Federal-gov, 42251, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +31, Private, 113838, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +28, Self-emp-not-inc, 282398, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +41, Private, 33331, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Federal-gov, 41031, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +46, Private, 155489, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, >50K +33, Private, 53042, 12th, 8, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 174789, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Local-gov, 203067, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +81, Private, 177408, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 26, United-States, >50K +45, Private, 216626, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Other, Male, 0, 0, 40, Columbia, <=50K +35, Private, 93034, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K +59, Self-emp-not-inc, 188003, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +46, Local-gov, 65535, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +39, Private, 366757, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +23, Private, 414545, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 295919, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 34378, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 58359, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +25, Private, 476334, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +32, Private, 255424, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +34, Local-gov, 175856, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 124692, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 118551, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +78, ?, 292019, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 288566, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 43, United-States, >50K +61, Private, 137733, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +22, Private, 39432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 138537, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K +37, Private, 709445, HS-grad, 9, Separated, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 194809, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-inc, 89041, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +37, ?, 299090, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +18, Private, 159561, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K +37, Private, 236328, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +46, Private, 269045, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +25, ?, 196627, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Federal-gov, 323798, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 463072, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Private, 199655, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Other, Female, 0, 1740, 40, ?, <=50K +25, Self-emp-inc, 98756, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K +50, State-gov, 161075, HS-grad, 9, Widowed, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 192485, 12th, 8, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +25, Private, 201579, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +23, Private, 117606, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, ?, 177487, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 237731, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2829, 0, 65, United-States, <=50K +37, Private, 60313, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 270059, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 25236, 0, 25, United-States, >50K +27, Private, 169958, 5th-6th, 3, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, ?, <=50K +19, Private, 240686, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +52, Local-gov, 124793, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Self-emp-not-inc, 113948, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K +17, ?, 241021, 12th, 8, Never-married, ?, Own-child, Other, Female, 0, 0, 40, United-States, <=50K +21, Private, 147655, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 38876, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +55, Private, 117299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +20, ?, 114813, 10th, 6, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 136310, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Federal-gov, 153132, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +23, Private, 197552, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 69748, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 175738, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +50, State-gov, 78649, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-inc, 188774, 11th, 7, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 60, ?, <=50K +48, Private, 155659, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +19, Federal-gov, 215891, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +40, Private, 144928, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 33688, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Female, 0, 1669, 70, United-States, <=50K +65, Private, 262446, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +44, Federal-gov, 191295, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 48, United-States, <=50K +32, Private, 279173, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 153031, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +28, Private, 202239, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +44, Federal-gov, 469454, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 48, United-States, >50K +39, Local-gov, 164156, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +59, Private, 196482, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 176185, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, France, >50K +34, Private, 287315, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 117210, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 41610, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 160703, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K +31, Private, 80511, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +39, Private, 219155, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K +35, Private, 106347, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Self-emp-not-inc, 68899, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2129, 40, United-States, <=50K +44, Self-emp-not-inc, 163985, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, >50K +28, Private, 270887, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +17, Private, 205726, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +23, Private, 218899, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K +35, Private, 186183, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 80, United-States, >50K +19, Private, 248749, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +30, Private, 197558, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 176514, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, ?, 116820, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 128730, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 10520, 0, 65, Greece, >50K +37, Private, 215503, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 45, United-States, >50K +44, Private, 226129, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 175856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 55, United-States, >50K +43, Private, 281138, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 98061, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 260560, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 289909, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +51, Private, 59590, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K +24, Private, 236769, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 423616, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 24, United-States, >50K +24, Private, 291407, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +53, Self-emp-inc, 100029, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 204494, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 56, United-States, >50K +24, Private, 201680, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 154308, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +31, Private, 150324, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +38, Local-gov, 331609, Some-college, 10, Widowed, Transport-moving, Not-in-family, Black, Female, 0, 0, 47, United-States, <=50K +28, Private, 100829, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +38, Private, 203169, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 122075, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 178778, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 276345, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +48, Private, 233511, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 289448, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +31, Private, 173350, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 130589, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +62, Private, 94318, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 297531, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 129762, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 182614, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, Poland, <=50K +60, Private, 120067, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 182370, Assoc-acdm, 12, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 60949, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 190511, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 188195, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 89534, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 125831, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K +23, Private, 183358, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K +38, ?, 75024, 7th-8th, 4, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 251120, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, England, <=50K +35, Private, 108946, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 93223, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +61, Private, 147393, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +71, ?, 45801, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K +35, State-gov, 225385, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Federal-gov, 23892, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 179668, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Scotland, <=50K +27, Self-emp-not-inc, 404998, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 68882, 1st-4th, 2, Widowed, Other-service, Unmarried, White, Female, 0, 0, 35, Portugal, <=50K +55, Self-emp-not-inc, 194065, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 357540, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2002, 55, United-States, <=50K +33, Private, 185336, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +25, State-gov, 152503, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 167794, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K +46, Private, 96552, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 17, United-States, <=50K +34, Private, 169527, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 4386, 0, 20, United-States, <=50K +52, State-gov, 254285, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 32509, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 125492, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-inc, 186035, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +69, ?, 168794, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K +34, Private, 191856, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 40, United-States, >50K +36, Private, 215503, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +31, Private, 187560, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 252752, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 2415, 40, United-States, >50K +38, Local-gov, 210991, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +57, Local-gov, 190748, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 117767, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +37, Private, 301070, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +69, Self-emp-not-inc, 204645, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 9386, 0, 72, United-States, >50K +39, Private, 186183, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 131808, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +34, State-gov, 156292, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 124589, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 262819, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +61, Private, 95500, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 241306, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 238680, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 55, Outlying-US(Guam-USVI-etc), <=50K +18, ?, 42293, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +41, Local-gov, 168071, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K +42, Private, 337629, 12th, 8, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, ?, >50K +52, Private, 168001, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +38, Private, 97759, 12th, 8, Never-married, Other-service, Unmarried, White, Female, 0, 0, 17, United-States, <=50K +51, Self-emp-not-inc, 107096, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 76860, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +20, Private, 70076, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 312017, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 174138, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 125892, Bachelors, 13, Divorced, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 210474, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, State-gov, 157332, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +28, Private, 30771, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 319768, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, France, >50K +34, Private, 209101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 55, United-States, >50K +25, Private, 324609, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +48, Private, 268234, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Local-gov, 178109, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 43, United-States, <=50K +31, Private, 25955, 9th, 5, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K +65, ?, 123484, HS-grad, 9, Widowed, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +56, Local-gov, 129762, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +22, Self-emp-not-inc, 108506, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 75, United-States, <=50K +27, Private, 241607, Bachelors, 13, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +27, Federal-gov, 214385, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +30, Local-gov, 183000, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 290763, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 171924, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K +19, Private, 97189, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 22, United-States, <=50K +42, Private, 195096, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K +37, Federal-gov, 329088, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 58371, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, ?, 256371, 12th, 8, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 35824, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 173271, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 391349, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +24, Private, 86153, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 295855, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +33, Self-emp-not-inc, 327902, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 285102, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, >50K +57, Private, 178353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Private, 28119, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 7, United-States, <=50K +42, Private, 197522, Some-college, 10, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 108542, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 35, United-States, <=50K +56, Private, 179781, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 126974, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 180060, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K +35, Local-gov, 38948, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 271572, 9th, 5, Never-married, Other-service, Other-relative, White, Male, 0, 0, 52, United-States, <=50K +41, Private, 177305, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +26, Private, 238367, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 172232, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +22, Private, 153805, HS-grad, 9, Never-married, Other-service, Unmarried, Other, Male, 0, 0, 20, Puerto-Rico, <=50K +30, Private, 26543, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 109067, Bachelors, 13, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 213716, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 149809, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K +27, Private, 185670, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +43, Federal-gov, 233851, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +68, ?, 192052, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 2457, 40, United-States, <=50K +41, Private, 193524, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, <=50K +25, Private, 213385, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 38238, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 104438, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Ireland, >50K +17, Private, 202344, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +45, Self-emp-not-inc, 43434, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 102147, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +30, Private, 231826, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +49, State-gov, 247378, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +42, Private, 78765, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K +29, Private, 184078, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +21, Local-gov, 102942, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 2001, 40, United-States, <=50K +20, Private, 258430, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K +59, Private, 244554, 11th, 7, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +26, Private, 252565, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +25, Private, 262778, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +33, Private, 162572, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K +35, Private, 65706, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Federal-gov, 102569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +66, Private, 350498, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 28, United-States, <=50K +67, ?, 159542, 5th-6th, 3, Widowed, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 142383, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 36, United-States, <=50K +38, Private, 229236, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K +72, Private, 56559, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K +21, Private, 27049, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K +39, Private, 36376, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +41, Private, 194360, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K +22, Private, 246965, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K +49, Self-emp-inc, 191277, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +24, Private, 268525, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +25, Private, 456604, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 223464, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 341797, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 174461, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 392167, 10th, 6, Divorced, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +60, Private, 210064, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 233182, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K +77, Local-gov, 177550, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3818, 0, 14, United-States, <=50K +62, Private, 143312, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +22, Private, 326334, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +37, Private, 179088, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 207637, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K +52, Federal-gov, 37289, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +31, Private, 36069, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +23, Federal-gov, 53245, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-inc, 399904, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 50, Mexico, <=50K +38, Self-emp-inc, 199346, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K +23, Private, 343019, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, State-gov, 232742, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 390472, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 290124, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +23, Private, 242912, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 4650, 0, 40, United-States, <=50K +39, Private, 70240, 5th-6th, 3, Married-spouse-absent, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +38, Local-gov, 286405, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K +25, Private, 153841, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 137367, Bachelors, 13, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 44, Philippines, <=50K +66, Private, 313255, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K +30, Private, 100734, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 248584, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 60001, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 335065, 7th-8th, 4, Never-married, Sales, Own-child, White, Male, 0, 0, 30, Mexico, <=50K +20, Private, 219262, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +20, Private, 186830, HS-grad, 9, Never-married, Transport-moving, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K +34, Private, 226385, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 609789, Assoc-acdm, 12, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 307767, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 217460, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +30, Private, 104052, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1741, 42, United-States, <=50K +41, Local-gov, 160893, Preschool, 1, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K +20, Private, 68358, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K +40, Self-emp-not-inc, 243636, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Self-emp-not-inc, 71269, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 71898, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K +38, ?, 212048, Prof-school, 15, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +30, Local-gov, 115040, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +45, Private, 111994, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +25, Private, 210794, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, ?, 88126, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 570821, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, ?, 146196, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, State-gov, 169482, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 63577, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +22, Private, 208946, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 26598, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 189203, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 183892, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +82, ?, 194590, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +18, Private, 188616, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +60, Private, 116707, 11th, 7, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 99199, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +39, Local-gov, 183620, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K +34, Private, 110476, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 157043, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Female, 2202, 0, 30, ?, <=50K +53, Private, 150726, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 214695, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 60, United-States, <=50K +37, Private, 172694, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 50, United-States, <=50K +25, Private, 344804, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Mexico, <=50K +33, Private, 319422, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, Peru, <=50K +34, State-gov, 327902, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +35, Private, 438176, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +51, Private, 197656, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Private, 219838, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 35561, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +25, ?, 156848, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 190257, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 156464, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 85, England, >50K +36, Private, 65624, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 201699, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 349910, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K +88, Self-emp-not-inc, 187097, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 264314, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, Columbia, <=50K +40, Self-emp-not-inc, 282678, Masters, 14, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 188923, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 55, United-States, <=50K +46, Private, 114797, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 36, United-States, <=50K +56, Private, 245215, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Self-emp-not-inc, 36270, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +67, Self-emp-not-inc, 107138, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 77820, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +20, Private, 39477, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 58305, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1573, 40, United-States, <=50K +23, Private, 359759, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +19, ?, 249147, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 44797, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +25, Private, 164488, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 48413, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 261276, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 1602, 40, Cambodia, <=50K +31, Self-emp-not-inc, 36592, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 91, United-States, <=50K +33, Private, 280923, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +33, Federal-gov, 29617, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-inc, 208802, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 36, United-States, >50K +35, Private, 189240, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +20, ?, 37932, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 181705, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 147548, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 85, United-States, <=50K +51, Self-emp-not-inc, 306784, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K +45, ?, 260953, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, State-gov, 190406, Prof-school, 15, Divorced, Prof-specialty, Unmarried, Black, Male, 25236, 0, 36, United-States, >50K +24, Private, 230229, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +28, Private, 46987, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 2174, 0, 36, United-States, <=50K +63, Private, 301108, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 22, United-States, <=50K +35, Private, 263081, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K +25, Self-emp-not-inc, 37741, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 115834, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 55, United-States, >50K +44, Private, 150076, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +49, Self-emp-not-inc, 148254, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +52, Private, 183611, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 258768, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 287658, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +51, Private, 95946, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Private, 31267, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 302149, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K +28, Private, 250135, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 176073, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +65, Private, 23580, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 163665, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Federal-gov, 43953, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 144860, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K +58, Self-emp-not-inc, 61474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +57, Private, 141570, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 40, United-States, >50K +40, Private, 225660, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K +42, Private, 336891, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 210164, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 171080, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +42, Private, 143342, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 281627, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 409922, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +65, ?, 224472, Prof-school, 15, Never-married, ?, Not-in-family, White, Male, 25124, 0, 80, United-States, >50K +29, Private, 157262, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +31, Private, 144949, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +71, Local-gov, 303860, Masters, 14, Widowed, Exec-managerial, Not-in-family, White, Male, 2050, 0, 20, United-States, <=50K +34, Private, 104293, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 195481, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 193995, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +67, Private, 105216, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +40, Private, 147206, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 173585, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 18, United-States, <=50K +38, Private, 187870, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K +38, Private, 248919, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +42, Private, 280410, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Haiti, <=50K +36, State-gov, 170861, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K +23, Self-emp-not-inc, 409230, 1st-4th, 2, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 340171, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 41017, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K +22, Private, 416356, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 261504, 12th, 8, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, State-gov, 205555, Prof-school, 15, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +44, Private, 245317, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K +38, Private, 153685, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 52, United-States, <=50K +19, ?, 169758, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 99374, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +57, Local-gov, 139452, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +54, Private, 227832, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Self-emp-not-inc, 213024, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 30, United-States, <=50K +22, ?, 24008, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 72, United-States, <=50K +63, Self-emp-not-inc, 33487, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-inc, 187934, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, Poland, <=50K +26, Private, 421561, 11th, 7, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +40, Private, 109969, 11th, 7, Divorced, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +20, Private, 116830, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 117166, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2635, 0, 40, United-States, <=50K +28, Private, 106951, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +30, Private, 89625, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 5, United-States, >50K +42, Private, 194537, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 144002, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 202214, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 109762, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 292570, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +67, Private, 105252, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 7978, 0, 35, United-States, <=50K +65, Private, 94552, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Local-gov, 46401, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +18, Private, 151150, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 27, United-States, <=50K +31, Private, 197689, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +36, Self-emp-inc, 180477, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Private, 181761, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 381153, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 165474, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 39, United-States, <=50K +38, Federal-gov, 190174, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 295991, 10th, 6, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +52, Without-pay, 198262, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K +34, Private, 190385, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +30, ?, 411560, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +49, Private, 262116, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K +45, Private, 178922, 9th, 5, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +46, Private, 192963, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 2415, 35, Philippines, >50K +34, Self-emp-inc, 209538, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +21, Self-emp-not-inc, 103277, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4508, 0, 30, Portugal, <=50K +17, Private, 216086, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 636017, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 155781, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 136873, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, State-gov, 122066, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K +27, State-gov, 346406, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 117915, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 19914, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 50, Philippines, <=50K +55, Private, 255364, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +31, Private, 703107, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 62374, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +34, Private, 96245, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 348796, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 136873, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K +35, Private, 388252, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 47783, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +62, Private, 194167, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K +40, Federal-gov, 544792, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 434463, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K +32, Private, 317219, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K +70, Private, 221603, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K +23, Private, 233711, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 111567, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K +57, Private, 79830, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 192259, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +24, Private, 239663, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +41, Local-gov, 34987, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +38, Self-emp-not-inc, 409189, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K +48, Private, 135525, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 152159, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +18, Private, 141363, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 214816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 42907, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 48, United-States, <=50K +30, Private, 161815, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +42, Private, 127314, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +48, Private, 395368, Some-college, 10, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +70, Private, 184176, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +37, Private, 112660, 9th, 5, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +51, Private, 183709, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 434114, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +59, Self-emp-not-inc, 165315, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 43, United-States, >50K +57, Private, 190997, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 335533, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 176146, 5th-6th, 3, Separated, Craft-repair, Not-in-family, Other, Male, 0, 0, 35, Mexico, <=50K +19, Private, 272063, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +34, Private, 169564, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 188856, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 8614, 0, 55, United-States, >50K +25, Private, 69847, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 198759, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 80, United-States, >50K +22, Private, 175431, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +32, Private, 228357, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, ?, <=50K +72, Self-emp-not-inc, 284120, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 109133, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 167336, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K +76, ?, 42209, 9th, 5, Widowed, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +37, Private, 282951, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 303155, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Private, 261899, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K +33, Private, 168030, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 21, United-States, >50K +53, State-gov, 71417, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 239130, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +69, Private, 200560, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K +20, Private, 157541, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 27, United-States, <=50K +33, Private, 255004, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 230136, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 60, United-States, >50K +50, Local-gov, 124963, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 35, United-States, >50K +22, Private, 39615, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +20, Private, 47678, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 281315, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 176123, HS-grad, 9, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +24, ?, 165350, HS-grad, 9, Separated, ?, Not-in-family, Black, Male, 0, 0, 50, Germany, <=50K +32, Private, 235862, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +41, Private, 142579, Bachelors, 13, Widowed, Sales, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K +35, Private, 38294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 111483, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 189850, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +34, State-gov, 145874, Doctorate, 16, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K +23, Private, 139012, Assoc-voc, 11, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +30, Local-gov, 211654, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Local-gov, 173090, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +26, Private, 104834, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K +42, ?, 195124, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, Dominican-Republic, <=50K +39, Private, 32146, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +52, Private, 282674, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K +42, Private, 190403, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, Canada, <=50K +25, Private, 247025, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 48, United-States, <=50K +27, Private, 198258, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +30, Self-emp-not-inc, 172748, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, State-gov, 287988, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K +47, Self-emp-not-inc, 122307, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K +58, ?, 175017, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +18, Private, 170183, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +52, Private, 150812, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 241185, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +58, Self-emp-inc, 174864, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +35, Private, 30529, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 301637, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 423222, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 60, United-States, >50K +43, Private, 214781, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K +21, Private, 242912, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +52, Private, 191529, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 60, United-States, <=50K +24, Private, 117363, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +22, Private, 333158, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +39, Private, 193260, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 25, Mexico, <=50K +34, State-gov, 278378, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +58, Private, 111394, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 102476, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K +29, Private, 26451, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +67, ?, 209137, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 210945, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 35, Haiti, <=50K +62, Local-gov, 115023, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 53833, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 150057, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K +18, Private, 128086, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 18, United-States, <=50K +25, Private, 28473, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 155509, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +56, Private, 165315, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, ?, <=50K +30, Private, 171889, Prof-school, 15, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K +41, Local-gov, 185057, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 277034, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 60, United-States, >50K +36, Private, 166606, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 97453, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 54, United-States, <=50K +27, Private, 136094, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 61855, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +30, Private, 182771, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 15, China, <=50K +47, Private, 418961, Assoc-voc, 11, Divorced, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +39, Private, 106961, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 81846, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +44, Private, 105936, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 36425, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 595088, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 63, United-States, <=50K +38, Private, 149018, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 229613, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 33521, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 70539, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 50, United-States, <=50K +53, State-gov, 105728, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 28, United-States, >50K +31, Private, 193215, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 137363, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 104892, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 149427, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +19, State-gov, 176634, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 183279, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 225775, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 202091, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K +36, Private, 123151, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 168187, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +42, Federal-gov, 33521, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, State-gov, 243678, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 164898, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, ?, 262280, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 3781, 0, 40, United-States, <=50K +33, State-gov, 290614, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 199265, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 207668, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +18, State-gov, 30687, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K +24, State-gov, 27939, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 24, ?, <=50K +17, Private, 438996, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +48, Private, 152915, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, ?, 186030, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K +46, Local-gov, 297759, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 171242, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +28, Private, 206088, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 182792, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 167725, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K +43, Private, 160674, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 194710, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 255027, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 204641, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +20, State-gov, 177787, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +29, Private, 54932, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, >50K +54, Self-emp-not-inc, 91506, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K +34, Private, 198634, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 227146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Private, 135647, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 55508, 7th-8th, 4, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 174912, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 175925, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 157486, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +49, Local-gov, 329144, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, >50K +67, ?, 81761, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K +49, Self-emp-not-inc, 102318, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +30, Federal-gov, 266463, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Federal-gov, 107314, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 114158, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 124052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 144301, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 42, United-States, <=50K +28, Private, 176683, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 70, United-States, >50K +23, Private, 234663, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 178948, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 50, United-States, <=50K +37, Self-emp-not-inc, 607848, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 202937, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +32, Federal-gov, 83413, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K +26, Private, 212798, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +57, Federal-gov, 192258, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 112497, 9th, 5, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 50, United-States, >50K +30, Private, 97521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 160972, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 322931, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +22, Private, 403519, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 330174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 278155, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 39054, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +57, Private, 170287, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 336643, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 264166, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, Columbia, <=50K +44, Local-gov, 433705, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K +28, Private, 27044, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +42, Private, 165599, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 159759, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 385092, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K +42, Private, 188808, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 30, United-States, <=50K +30, Private, 167476, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +21, State-gov, 194096, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +59, Private, 182460, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K +21, ?, 102323, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +56, Private, 232139, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 341741, Preschool, 1, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +21, Private, 206008, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 50, United-States, <=50K +48, Private, 344415, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 37, United-States, >50K +35, State-gov, 372130, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 27766, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K +23, Private, 140764, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +17, ?, 161259, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 12, United-States, <=50K +41, Private, 22201, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K +35, Self-emp-inc, 187046, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 137591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +53, Private, 274276, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 341757, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 218542, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +44, Local-gov, 190020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 221436, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Cuba, >50K +39, Self-emp-not-inc, 52187, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 158776, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 51543, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +17, Private, 146329, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 23, United-States, <=50K +31, Private, 397467, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 105592, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K +39, Private, 78171, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +46, State-gov, 55377, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +31, Private, 258932, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 80, Italy, <=50K +27, Private, 38606, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 45, United-States, <=50K +18, Private, 219841, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +46, Private, 156926, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +55, Private, 160362, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 192161, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +53, Private, 208570, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 26, United-States, <=50K +44, Self-emp-not-inc, 182771, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 48, South, >50K +43, Private, 151089, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 163002, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 155657, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 20, Yugoslavia, <=50K +27, Private, 217530, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +20, Private, 244406, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +18, Local-gov, 152182, 10th, 6, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 6, United-States, <=50K +34, Private, 55717, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 50, United-States, >50K +38, Private, 201454, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Self-emp-inc, 144371, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K +55, Private, 277034, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 462832, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 40, United-States, >50K +26, Private, 200681, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, State-gov, 119565, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K +22, Private, 192017, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 84808, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 100154, 10th, 6, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 169383, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Without-pay, 43887, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K +45, Private, 54260, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 99, United-States, <=50K +53, Self-emp-not-inc, 159876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 3103, 0, 72, United-States, <=50K +46, Private, 160474, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1590, 43, United-States, <=50K +25, Private, 476334, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +90, Private, 52386, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +33, Private, 83671, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +45, Private, 172960, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +47, Private, 191957, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K +38, Local-gov, 40955, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +35, ?, 98080, Prof-school, 15, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 4787, 0, 45, Japan, >50K +37, Private, 175643, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +53, State-gov, 197184, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +56, Private, 187295, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 40822, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +44, Private, 228729, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, ?, <=50K +50, Private, 240496, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +26, Private, 51961, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K +36, Private, 174887, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 95855, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 362259, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 30916, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +62, Private, 153148, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 84, United-States, <=50K +46, Private, 167915, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 45156, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 41, United-States, <=50K +37, Private, 98776, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K +27, Private, 209801, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, ?, <=50K +38, Private, 183800, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 54595, 12th, 8, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 79637, Bachelors, 13, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +50, Private, 126566, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 233796, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 32, United-States, >50K +67, Local-gov, 191800, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Black, Female, 6360, 0, 35, United-States, <=50K +34, Self-emp-not-inc, 527162, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 139466, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +23, Private, 64520, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +50, Private, 97741, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +45, Local-gov, 160173, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +17, Private, 350995, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +59, ?, 182836, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K +25, Private, 143267, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +21, Private, 346341, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 172175, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 153035, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +63, Private, 200127, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Local-gov, 204470, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +45, Private, 353012, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 194342, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 57898, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 164707, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, ?, <=50K +42, Private, 269028, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, France, <=50K +56, Private, 83922, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 160647, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Female, 0, 0, 46, United-States, <=50K +69, Private, 125437, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +42, Private, 246011, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, <=50K +19, Private, 216937, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Other, Female, 0, 0, 60, Guatemala, <=50K +56, Self-emp-not-inc, 66356, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 154981, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 50, United-States, >50K +61, Federal-gov, 197311, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 301743, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +50, Self-emp-not-inc, 401118, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 50, United-States, >50K +39, Private, 98776, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +35, Self-emp-not-inc, 32528, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 177119, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +40, Self-emp-inc, 193524, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +59, State-gov, 192258, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, ?, 145917, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +42, Federal-gov, 214838, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, >50K +59, Private, 176011, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-inc, 147239, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +38, Private, 159179, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +53, Private, 155963, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 360457, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K +54, Federal-gov, 114674, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 95708, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K +33, Local-gov, 100734, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +35, Private, 188972, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +22, Private, 162667, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, Portugal, <=50K +45, Self-emp-not-inc, 28497, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1485, 70, United-States, >50K +29, Private, 180758, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 346635, Masters, 14, Divorced, Sales, Unmarried, White, Female, 0, 2339, 60, United-States, <=50K +23, Private, 46645, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +30, Private, 203258, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +17, Private, 134480, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 25, United-States, <=50K +35, Local-gov, 85548, Some-college, 10, Separated, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +25, Private, 195994, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K +42, State-gov, 148316, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 227466, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 68552, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +32, Private, 252257, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +44, Private, 30126, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 304353, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, >50K +47, Self-emp-not-inc, 171968, Bachelors, 13, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 60, Thailand, <=50K +24, Private, 205839, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, State-gov, 218640, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K +42, Private, 150568, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +19, Private, 382738, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 138940, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 37, United-States, <=50K +26, Self-emp-not-inc, 258306, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K +25, Local-gov, 190107, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 1719, 16, United-States, <=50K +52, Private, 152373, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 141875, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 79586, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, ?, >50K +32, Private, 157289, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 184498, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 109684, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1741, 35, United-States, <=50K +47, Private, 199832, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 23545, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 175710, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +27, Private, 52028, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K +61, Self-emp-not-inc, 315977, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +47, Private, 202322, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 251825, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +54, Private, 202115, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K +56, Local-gov, 216824, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +69, Private, 145656, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +30, Private, 137076, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 152621, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K +42, Self-emp-not-inc, 27242, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +45, Federal-gov, 358242, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Private, 184117, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 20, United-States, >50K +26, Private, 300290, 11th, 7, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Local-gov, 149991, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 42, United-States, >50K +31, Private, 189759, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 339482, 5th-6th, 3, Separated, Farming-fishing, Other-relative, White, Male, 0, 0, 60, Mexico, <=50K +51, Private, 100933, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 354558, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +38, Local-gov, 162613, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2258, 60, United-States, <=50K +64, Private, 285052, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +26, State-gov, 175044, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 45508, 5th-6th, 3, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K +32, Private, 173351, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +29, Private, 173611, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, ?, 182543, 1st-4th, 2, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +21, Private, 143062, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, ?, 137951, 10th, 6, Separated, ?, Other-relative, White, Female, 0, 0, 40, Puerto-Rico, <=50K +33, Local-gov, 293063, Bachelors, 13, Married-spouse-absent, Prof-specialty, Other-relative, Black, Male, 0, 0, 40, ?, <=50K +26, Private, 377754, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 152373, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2105, 0, 40, United-States, <=50K +31, Private, 193477, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +29, Local-gov, 277323, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 69182, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K +51, Private, 219599, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 129371, 9th, 5, Separated, Other-service, Unmarried, Other, Female, 0, 0, 40, Trinadad&Tobago, <=50K +20, Private, 470875, HS-grad, 9, Married-civ-spouse, Sales, Own-child, Black, Male, 0, 0, 32, United-States, <=50K +40, Private, 201734, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +43, Private, 58447, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K +52, Local-gov, 91689, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 166546, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +24, Private, 293324, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 219262, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +38, Self-emp-not-inc, 403391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, Private, 367749, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K +24, Private, 128487, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, State-gov, 111363, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K +49, Private, 240869, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +36, Private, 163278, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 416415, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +46, ?, 280030, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K +46, Private, 251243, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Local-gov, 167159, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, >50K +29, Private, 161857, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Other, Female, 0, 0, 40, Columbia, <=50K +37, Private, 160035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, ?, 190205, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +28, ?, 161290, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 112403, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 238726, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 164530, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +19, Private, 456572, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +31, Self-emp-not-inc, 177675, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 246739, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K +37, Private, 102953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, ?, 224238, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 2, United-States, <=50K +46, Private, 155489, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K +51, Self-emp-not-inc, 156802, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3103, 0, 60, United-States, >50K +50, Private, 168212, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 45, United-States, >50K +38, Private, 331395, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3942, 0, 84, Portugal, <=50K +40, Local-gov, 261497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 35, United-States, <=50K +58, Private, 365511, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K +36, Private, 187999, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Local-gov, 190350, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +17, ?, 166759, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 168262, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +39, State-gov, 122011, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5178, 0, 38, United-States, >50K +46, Private, 165953, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Private, 375980, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +40, Federal-gov, 406463, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, State-gov, 231472, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Self-emp-not-inc, 78913, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 69107, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +22, ?, 182387, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 12, Thailand, <=50K +31, Private, 169002, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, United-States, <=50K +45, Private, 229967, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K +34, Private, 422836, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +27, State-gov, 230922, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Scotland, <=50K +40, Private, 195892, Some-college, 10, Divorced, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +68, Private, 163346, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +51, Private, 82566, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 86505, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K +43, Private, 178780, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +23, State-gov, 173945, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 27, United-States, <=50K +48, Private, 176810, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-inc, 23813, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 2885, 0, 30, United-States, <=50K +51, Self-emp-inc, 210736, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K +32, Private, 343789, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 55, United-States, <=50K +34, Private, 113838, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Local-gov, 121055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K +71, ?, 52171, 7th-8th, 4, Divorced, ?, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +17, Private, 566049, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K +37, Private, 67433, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +26, Private, 39014, 12th, 8, Married-civ-spouse, Priv-house-serv, Wife, Other, Female, 0, 0, 40, Dominican-Republic, <=50K +17, Private, 51939, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +34, Private, 100669, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +46, Private, 155659, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +33, Private, 112847, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +41, Local-gov, 32185, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Private, 138370, 10th, 6, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +50, Self-emp-not-inc, 172281, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +46, Private, 180505, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +45, Private, 168262, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 85126, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 113838, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 197457, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 1471, 0, 38, United-States, <=50K +28, Private, 197905, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 316589, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 336367, Assoc-acdm, 12, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +39, Self-emp-inc, 143123, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2415, 40, United-States, >50K +23, Private, 209955, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 210013, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 224541, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 275653, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 2977, 0, 40, Puerto-Rico, <=50K +45, Private, 88061, 11th, 7, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K +43, Federal-gov, 195897, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 40, United-States, >50K +49, Private, 43206, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, >50K +37, Private, 202950, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 154093, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 112115, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 55, United-States, >50K +51, Private, 355954, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +24, Private, 379418, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +67, Self-emp-not-inc, 286372, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 48087, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K +32, Private, 387270, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +21, Private, 270043, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +39, Self-emp-not-inc, 65738, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, >50K +33, Private, 159888, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 278039, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +21, Private, 265434, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K +68, Self-emp-inc, 52052, Assoc-voc, 11, Widowed, Sales, Not-in-family, White, Female, 25124, 0, 50, United-States, >50K +24, Private, 208882, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +24, Private, 229393, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 2463, 0, 40, United-States, <=50K +23, Private, 53513, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K +40, Private, 225193, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 63, United-States, <=50K +48, Private, 166809, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +42, Self-emp-not-inc, 175674, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +45, Federal-gov, 368947, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 194901, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +53, Private, 203173, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 267431, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 55, United-States, <=50K +32, Private, 111836, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K +34, Private, 198613, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, ?, <=50K +41, Self-emp-inc, 149102, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +57, Local-gov, 121111, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 130397, 10th, 6, Never-married, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +40, Private, 212847, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2179, 40, United-States, <=50K +17, Private, 184198, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 13, United-States, <=50K +17, Private, 121287, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +82, Self-emp-inc, 120408, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +40, Private, 164678, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +26, Private, 388812, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +37, Private, 294919, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 101684, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 36209, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 22, United-States, >50K +39, Private, 123983, Bachelors, 13, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +36, Self-emp-not-inc, 340001, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 203828, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 183789, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 305619, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +63, Self-emp-not-inc, 174181, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K +59, Private, 131869, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +49, Self-emp-not-inc, 43479, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, ?, 203126, 9th, 5, Never-married, ?, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K +17, Private, 118792, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 9, United-States, <=50K +28, Private, 272913, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, Mexico, <=50K +45, Federal-gov, 222011, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-inc, 301007, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 197731, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 173736, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 182590, 10th, 6, Never-married, ?, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +59, Local-gov, 93211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 22, United-States, >50K +41, Private, 24763, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 7443, 0, 40, United-States, <=50K +49, Local-gov, 219021, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 48, United-States, >50K +37, Private, 137229, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +31, Self-emp-not-inc, 281030, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +21, Private, 234108, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 46868, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +20, ?, 162667, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K +51, Private, 173291, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 305160, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +48, Private, 212954, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +39, Local-gov, 112284, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 164198, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 15024, 0, 45, United-States, >50K +41, Private, 152958, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 145389, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +54, Self-emp-inc, 119570, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Private, 272343, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +44, Private, 187720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K +50, Private, 145409, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Private, 208726, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +34, Private, 203488, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 330416, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 25803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 171150, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 82576, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 36, United-States, >50K +30, Private, 329425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 185452, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 201179, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 182268, Preschool, 1, Married-spouse-absent, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 95763, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +48, Private, 125892, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, <=50K +21, Private, 121407, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 36, United-States, <=50K +52, Private, 373367, 11th, 7, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Local-gov, 165982, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Private, 165484, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +30, Private, 156890, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 156763, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 40, United-States, <=50K +43, Private, 244172, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, ?, <=50K +36, Private, 219814, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Guatemala, <=50K +42, Private, 171841, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Local-gov, 168524, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K +62, Private, 205643, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +65, ?, 174904, HS-grad, 9, Separated, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 102559, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K +47, Private, 60267, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K +43, Private, 388725, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 215712, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +44, Private, 171722, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 39, United-States, <=50K +25, Private, 193051, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K +21, Private, 305446, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 146949, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, <=50K +21, Private, 322144, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 75742, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, El-Salvador, >50K +64, ?, 380687, Bachelors, 13, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 8, United-States, <=50K +55, Self-emp-not-inc, 95149, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K +42, Private, 68469, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Self-emp-not-inc, 27653, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 410439, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K +28, Private, 37821, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 55, ?, <=50K +45, Private, 228570, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K +21, Private, 141453, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 88215, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K +53, Private, 48641, 12th, 8, Never-married, Other-service, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K +45, Private, 185385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 341471, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +41, Private, 163322, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +35, Private, 99357, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 30, United-States, >50K +43, Self-emp-inc, 602513, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +53, Local-gov, 287192, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, Mexico, <=50K +34, Private, 215047, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +46, Federal-gov, 97863, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K +59, Private, 308118, Assoc-acdm, 12, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +53, Private, 137192, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K +33, Private, 275369, 7th-8th, 4, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, Haiti, <=50K +45, Private, 99971, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +48, Self-emp-inc, 103713, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 253770, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 162205, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 72, United-States, >50K +46, Self-emp-not-inc, 31267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 198146, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K +23, Private, 178207, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K +21, Private, 317175, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +53, Federal-gov, 221791, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-inc, 187124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K +58, State-gov, 280519, HS-grad, 9, Divorced, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 207568, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +45, Local-gov, 192684, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +39, Private, 103260, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 30, United-States, >50K +39, Private, 191227, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 13550, 0, 50, United-States, >50K +48, Self-emp-inc, 382242, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +41, Private, 106900, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, <=50K +30, Private, 48520, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 40, United-States, <=50K +50, Private, 55527, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K +51, Self-emp-not-inc, 246820, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 48, United-States, >50K +23, Private, 33884, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 29762, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +47, Federal-gov, 168109, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 70, United-States, <=50K +51, Private, 207449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +60, Self-emp-inc, 189098, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 194259, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Local-gov, 194630, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Local-gov, 179681, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 37, United-States, <=50K +42, State-gov, 136996, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 48, United-States, <=50K +32, Private, 143604, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 16, United-States, <=50K +19, Private, 243373, 12th, 8, Never-married, Sales, Other-relative, White, Male, 1055, 0, 40, United-States, <=50K +34, Private, 261799, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 45, United-States, >50K +48, Private, 143281, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +38, Private, 185556, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K +38, Private, 111499, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +40, Self-emp-not-inc, 280433, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 37314, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +38, Private, 103408, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K +26, Private, 270151, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, State-gov, 96748, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K +20, Private, 164775, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K +49, Private, 190319, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Philippines, <=50K +23, Private, 213115, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 156926, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Canada, >50K +43, Private, 112967, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 35373, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +60, Self-emp-not-inc, 220342, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 163167, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 404951, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +39, Private, 122032, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 143582, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Other, Female, 4101, 0, 35, United-States, <=50K +38, Private, 108140, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 2202, 0, 45, United-States, <=50K +47, Private, 251508, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +50, Self-emp-not-inc, 197054, Prof-school, 15, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +64, Self-emp-not-inc, 36960, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 165930, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, ?, 178960, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 214503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K +51, Private, 110458, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 202125, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Self-emp-not-inc, 284329, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +29, Private, 192924, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 340917, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2829, 0, 50, ?, <=50K +37, Private, 340614, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Private, 196678, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 266489, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +57, Private, 61474, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K +47, ?, 99127, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 215955, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2829, 0, 40, United-States, <=50K +23, Self-emp-inc, 215395, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +36, Self-emp-inc, 183898, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +48, Private, 97176, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 145160, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K +51, Private, 357949, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +59, Private, 177120, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 288229, Some-college, 10, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Greece, <=50K +39, Private, 509060, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 47932, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 103925, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +44, State-gov, 183829, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +51, Private, 138852, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 188186, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, Hungary, <=50K +22, Private, 34616, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +19, Private, 220819, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Federal-gov, 281540, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 47396, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 141350, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 331433, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +40, Federal-gov, 346532, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +21, Private, 241367, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K +39, Private, 216256, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Italy, >50K +40, Local-gov, 153031, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 35, United-States, >50K +36, Private, 116138, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K +18, Private, 193166, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 42, United-States, <=50K +32, Self-emp-inc, 275094, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, Mexico, >50K +50, Private, 81548, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 167979, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +19, Private, 67759, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 43, United-States, <=50K +53, Private, 200190, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +49, Private, 403112, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +40, Private, 214891, Bachelors, 13, Married-spouse-absent, Transport-moving, Own-child, Other, Male, 0, 0, 45, ?, <=50K +31, Private, 142675, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 88500, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +35, Local-gov, 145308, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Local-gov, 204377, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +43, Self-emp-not-inc, 260696, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +51, Private, 231181, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K +54, Private, 260052, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +76, Local-gov, 178665, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +33, Private, 226267, 7th-8th, 4, Never-married, Sales, Not-in-family, White, Male, 0, 0, 43, Mexico, <=50K +19, Private, 111232, 12th, 8, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K +49, Private, 87928, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +26, Private, 212748, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 110677, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +49, Private, 139268, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +24, Private, 306779, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +48, Private, 318331, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 143385, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 288273, 12th, 8, Separated, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K +31, Private, 167725, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 48, Philippines, >50K +53, Private, 94081, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K +22, Private, 194723, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +43, Private, 163985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 189759, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, <=50K +53, State-gov, 195922, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Federal-gov, 54159, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +47, Local-gov, 166863, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 104501, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, >50K +39, Private, 210626, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 448026, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Local-gov, 170916, 10th, 6, Never-married, Protective-serv, Own-child, White, Female, 0, 1602, 40, United-States, <=50K +53, Local-gov, 283602, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K +21, Private, 189749, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 90934, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 64, Philippines, >50K +34, State-gov, 253121, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 181776, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 162397, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 70708, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K +47, State-gov, 103406, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 224658, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Local-gov, 213451, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 10, Jamaica, <=50K +53, Private, 139671, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 36201, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 237713, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 99, United-States, >50K +17, Local-gov, 173497, 11th, 7, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 15, United-States, <=50K +46, Private, 375606, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +34, Private, 203488, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +45, Self-emp-not-inc, 107231, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, France, <=50K +23, Private, 216811, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K +41, Private, 288679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 105516, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 282972, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +18, Self-emp-inc, 117372, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +38, Private, 112497, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +66, ?, 186032, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 2964, 0, 30, United-States, <=50K +28, Private, 192384, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 43348, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +29, Private, 181822, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 216070, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, >50K +34, State-gov, 112062, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 218551, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 404616, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 169460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 240081, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +22, Private, 147655, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 90277, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, ?, <=50K +49, Private, 60751, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 194636, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 50, United-States, <=50K +37, Self-emp-not-inc, 154641, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2105, 0, 50, United-States, <=50K +39, Private, 491000, Bachelors, 13, Never-married, Exec-managerial, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K +33, Private, 399088, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 186909, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 1902, 35, United-States, >50K +65, Private, 105491, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K +40, Private, 34987, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K +26, ?, 167835, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K +31, Private, 288983, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 266070, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +71, Private, 110380, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2467, 52, United-States, <=50K +25, Local-gov, 31873, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 294400, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +19, ?, 184308, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K +36, Self-emp-not-inc, 175769, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +56, Private, 182273, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 106541, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 138192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 196791, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +22, Private, 223019, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +44, Private, 109273, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +60, Self-emp-not-inc, 95490, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +65, Private, 149131, 11th, 7, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 219155, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, England, >50K +53, Local-gov, 82783, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 214858, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 170230, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +40, Self-emp-inc, 209344, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 15, ?, <=50K +35, Private, 90406, 11th, 7, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 299813, 9th, 5, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 70, Dominican-Republic, <=50K +28, Private, 188064, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Canada, <=50K +53, Private, 246117, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +26, Private, 132749, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 45, United-States, <=50K +28, Local-gov, 201099, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 97490, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 221252, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 8, United-States, <=50K +26, Private, 116991, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 161691, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +34, Private, 107793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, >50K +50, Self-emp-inc, 194514, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, Trinadad&Tobago, <=50K +30, Private, 278502, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 62, United-States, <=50K +47, Private, 343742, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +27, ?, 204074, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, Federal-gov, 31965, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 143604, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 29, ?, <=50K +35, Private, 174308, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 162551, 12th, 8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 50, ?, <=50K +39, Self-emp-inc, 372525, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +30, Private, 75167, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +39, Private, 176296, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 1887, 40, United-States, >50K +19, Private, 93518, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +25, ?, 126797, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 25124, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K +21, Private, 112137, Some-college, 10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K +30, ?, 58798, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +25, Self-emp-not-inc, 21472, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K +32, Private, 90969, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +26, Private, 149734, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 1594, 40, United-States, <=50K +42, Private, 52849, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 106347, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 47, United-States, <=50K +48, Private, 199735, Bachelors, 13, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 44, Germany, <=50K +24, Private, 488541, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +46, Private, 403911, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +53, Private, 172991, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K +36, Federal-gov, 210945, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 70, United-States, <=50K +34, Private, 157446, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 109390, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 70, United-States, <=50K +33, Private, 134886, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 99999, 0, 30, United-States, >50K +45, Private, 144579, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Federal-gov, 203488, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 202871, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K +33, Private, 175412, 9th, 5, Divorced, Craft-repair, Unmarried, White, Male, 114, 0, 55, United-States, <=50K +44, Private, 336906, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 177596, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, Puerto-Rico, >50K +30, Private, 79448, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +32, Local-gov, 191731, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, ?, 233014, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 133937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 219211, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +35, State-gov, 94529, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 247547, HS-grad, 9, Separated, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 29361, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +21, Private, 166851, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +43, Federal-gov, 197069, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Philippines, >50K +33, Private, 153588, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Federal-gov, 151369, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Private, 174112, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 520033, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +35, State-gov, 194828, Some-college, 10, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +32, ?, 216908, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K +22, Private, 126613, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +61, Private, 26254, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 54042, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 2463, 0, 35, United-States, <=50K +24, Private, 67804, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +58, Local-gov, 53481, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +42, Private, 412379, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 220187, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +26, ?, 256141, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 268222, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +59, Private, 99131, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +65, Self-emp-not-inc, 115498, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3818, 0, 10, United-States, <=50K +57, Private, 317847, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2824, 50, United-States, >50K +36, Private, 98389, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K +42, Private, 173704, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 50, United-States, >50K +18, ?, 211177, 12th, 8, Never-married, ?, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K +18, Private, 115443, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 65078, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 24896, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 184710, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 410450, Bachelors, 13, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, England, >50K +37, Private, 83893, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 113309, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 160625, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K +17, Local-gov, 340043, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K +37, Local-gov, 48976, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 45, United-States, <=50K +29, State-gov, 243875, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 554206, HS-grad, 9, Separated, Transport-moving, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K +36, Private, 361888, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K +37, Self-emp-not-inc, 205359, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 15, United-States, <=50K +47, State-gov, 167281, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 35663, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 357437, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 390856, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K +33, Federal-gov, 331615, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, United-States, >50K +54, Private, 202415, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 180032, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K +40, Private, 77247, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Local-gov, 101795, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +35, Private, 272019, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2057, 40, United-States, <=50K +32, Private, 198068, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 199326, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 178841, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 136951, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +26, Self-emp-inc, 109240, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +35, Self-emp-not-inc, 128876, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 103358, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, India, <=50K +43, Private, 354408, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 206051, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +45, Private, 155659, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +48, Private, 143299, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +31, Private, 252210, 5th-6th, 3, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +20, ?, 129240, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +28, Private, 398918, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 240612, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +22, Private, 429346, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 123718, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +38, Private, 455379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 63, United-States, >50K +23, Private, 376416, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Self-emp-inc, 234663, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 282142, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, State-gov, 208049, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +88, Private, 68539, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 126501, 11th, 7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 15, South, <=50K +24, Private, 186452, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +84, ?, 127184, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +48, Private, 165267, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K +46, Private, 124733, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +31, Self-emp-inc, 149726, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +58, Private, 41374, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 329759, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 212433, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 185099, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +47, Local-gov, 126754, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 122497, 9th, 5, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 52, ?, <=50K +30, Private, 118056, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +30, Local-gov, 200892, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 200790, 12th, 8, Married-civ-spouse, ?, Other-relative, White, Female, 15024, 0, 40, United-States, >50K +30, Self-emp-inc, 84119, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 43, United-States, <=50K +23, Local-gov, 197918, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 150533, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 443742, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 104423, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 169133, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +21, Private, 185551, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 36, United-States, <=50K +60, Private, 174486, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +69, State-gov, 50468, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 34, United-States, >50K +24, Private, 196943, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 120691, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +60, State-gov, 198815, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, Mexico, <=50K +64, Private, 22186, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +39, Self-emp-inc, 188069, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +51, Private, 233149, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +51, Private, 138358, 10th, 6, Divorced, Craft-repair, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +25, Private, 338013, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, ?, 332666, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 4, United-States, <=50K +37, Private, 166339, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +74, Self-emp-not-inc, 392886, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K +26, State-gov, 141838, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +23, Private, 520759, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +57, Self-emp-inc, 37345, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K +20, Private, 387779, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K +37, Private, 201531, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 123598, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 380614, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +40, Private, 83859, HS-grad, 9, Widowed, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K +50, State-gov, 24790, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 266820, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K +44, Private, 85440, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 421837, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 404062, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 15, United-States, >50K +38, Private, 224566, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +54, Private, 294991, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Federal-gov, 189610, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 52, United-States, <=50K +37, Private, 219141, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 7688, 0, 40, United-States, >50K +46, Federal-gov, 20956, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +38, Private, 70995, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +20, Private, 215232, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 10, United-States, <=50K +71, ?, 178295, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K +35, Private, 56201, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +62, Private, 98076, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 351810, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Cuba, <=50K +56, Self-emp-not-inc, 144351, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 90, United-States, <=50K +30, State-gov, 137613, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Taiwan, <=50K +17, Private, 54257, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +18, Self-emp-not-inc, 230373, 11th, 7, Never-married, Other-service, Own-child, White, Female, 594, 0, 4, United-States, <=50K +35, Private, 98389, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 184135, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 1, United-States, <=50K +46, Self-emp-not-inc, 140121, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +33, Self-emp-not-inc, 24504, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 129528, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 415578, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 97142, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 201328, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 256620, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Federal-gov, 96854, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +44, State-gov, 141858, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 75, United-States, >50K +51, Federal-gov, 20795, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 40, United-States, >50K +53, Private, 95519, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K +47, Private, 112791, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 291407, 11th, 7, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 239659, Some-college, 10, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 70, United-States, <=50K +28, Private, 183151, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +58, ?, 97634, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 143807, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 186934, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +30, Private, 170065, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 108328, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 6849, 0, 50, United-States, <=50K +56, State-gov, 83696, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, ?, <=50K +21, Private, 204596, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +56, ?, 32604, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +56, Private, 193453, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 65, United-States, >50K +45, Private, 148995, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K +20, Private, 85041, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K +62, Local-gov, 140851, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 196280, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +52, Federal-gov, 38973, Bachelors, 13, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 39182, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 198841, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 694812, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 247444, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K +41, Private, 294270, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +59, Private, 195820, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 329426, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +19, ?, 174871, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 23, United-States, <=50K +41, Private, 116103, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 206903, Bachelors, 13, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +50, Private, 217577, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 337693, 5th-6th, 3, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K +38, Private, 204501, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +30, Private, 169186, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K +48, Private, 109421, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +39, Local-gov, 267893, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7298, 0, 40, United-States, >50K +40, Private, 200479, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Local-gov, 221317, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +59, Self-emp-not-inc, 132925, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +31, ?, 283531, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +34, Private, 170769, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +47, Self-emp-inc, 186410, Prof-school, 15, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +64, Self-emp-inc, 307786, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K +29, Private, 380560, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +38, Local-gov, 147258, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 212894, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K +49, Private, 124356, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +53, Private, 98791, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 216473, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +70, ?, 135339, Bachelors, 13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +38, Private, 107303, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 152744, Bachelors, 13, Divorced, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K +34, Self-emp-not-inc, 100079, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 55, India, <=50K +24, Private, 117779, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, Hungary, <=50K +23, Private, 197613, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 411068, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +47, Private, 192984, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 66356, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, White, Male, 4865, 0, 40, United-States, <=50K +33, Federal-gov, 137184, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, >50K +63, Self-emp-not-inc, 231105, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, >50K +18, Local-gov, 146586, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 32406, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +33, Private, 578701, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K +19, Private, 206777, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +27, Local-gov, 133495, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 34722, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +38, Self-emp-not-inc, 133299, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 24967, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 47, United-States, <=50K +35, Self-emp-not-inc, 171968, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +22, Private, 412156, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 51290, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 198265, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K +23, Private, 293565, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 226288, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Self-emp-inc, 110445, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 160634, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 174242, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 390316, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +18, Private, 298860, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +65, Private, 171584, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 232664, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +64, Private, 63676, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +68, Private, 170376, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Self-emp-not-inc, 175964, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +68, Federal-gov, 422013, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 3683, 40, United-States, <=50K +35, Private, 105813, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K +50, Federal-gov, 306707, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K +45, Private, 177543, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 28, United-States, <=50K +43, Private, 320277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 129495, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 257042, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 1506, 0, 40, United-States, <=50K +45, Private, 275995, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +20, ?, 86318, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K +36, Private, 280440, Assoc-acdm, 12, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +26, Private, 371556, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 408229, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +47, Private, 149337, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 209297, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 2001, 40, United-States, <=50K +53, Private, 355802, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +32, Private, 165949, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 1590, 42, United-States, <=50K +44, Self-emp-not-inc, 112507, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 462869, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +35, Private, 413648, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 36, United-States, <=50K +34, Private, 29235, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 149823, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 39530, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +23, Private, 197387, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 37, Mexico, <=50K +56, Local-gov, 255406, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 43764, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +38, Private, 168322, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +46, Private, 278322, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 115813, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 57, United-States, <=50K +38, Self-emp-not-inc, 184456, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 3464, 0, 80, Italy, <=50K +42, Private, 289636, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 46, United-States, <=50K +48, Private, 101684, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 133425, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +40, Private, 349405, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, <=50K +53, Private, 124076, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 37, United-States, >50K +75, Self-emp-not-inc, 165968, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +39, Private, 185099, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K +46, Federal-gov, 268281, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 154949, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 176711, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 165064, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 213750, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +45, Self-emp-not-inc, 77132, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +21, Private, 109667, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 162164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +40, Private, 219591, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, ?, 327462, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +68, Private, 236943, 9th, 5, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K +40, Private, 89226, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 124751, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 24, United-States, <=50K +48, Local-gov, 144122, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +27, Private, 98769, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +57, Federal-gov, 170066, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-inc, 162439, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 98, United-States, >50K +47, Private, 22900, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Local-gov, 102130, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, ?, 215743, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 381583, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 45, United-States, >50K +56, Local-gov, 198277, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 243178, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K +38, Local-gov, 177305, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K +19, Private, 167149, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +24, Private, 270872, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 594, 0, 40, ?, <=50K +31, Private, 382368, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Germany, <=50K +44, Local-gov, 277144, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K +21, State-gov, 145651, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 1602, 12, United-States, <=50K +41, Private, 171351, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 265099, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +23, Private, 105617, 9th, 5, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 217689, Some-college, 10, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 32, United-States, <=50K +46, ?, 81136, Assoc-voc, 11, Divorced, ?, Unmarried, White, Male, 0, 0, 30, United-States, <=50K +43, Self-emp-not-inc, 73883, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 339482, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +40, Private, 326232, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, >50K +27, Private, 106316, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +64, Local-gov, 198728, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +31, Federal-gov, 126501, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 233802, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, <=50K +37, Self-emp-not-inc, 204501, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, Canada, >50K +28, Private, 208249, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +42, Private, 188693, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-inc, 93272, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +17, Private, 159299, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +21, ?, 303588, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +46, Private, 35136, 10th, 6, Divorced, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +18, Private, 139576, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 252355, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 27, United-States, <=50K +44, Self-emp-not-inc, 83812, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 89718, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +65, Private, 222810, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 456618, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +21, Private, 296158, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K +41, Private, 162140, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2339, 40, United-States, <=50K +28, Private, 36601, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +27, Private, 195337, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, State-gov, 282721, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 12, United-States, <=50K +40, Private, 206049, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 223392, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +40, Private, 27821, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 2829, 0, 40, United-States, <=50K +37, Private, 131827, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 549413, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +34, Private, 69491, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Local-gov, 193755, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 598802, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +72, Local-gov, 259762, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2290, 0, 10, United-States, <=50K +19, Private, 266255, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 32954, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +40, Private, 291808, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 190728, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 59184, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 196456, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 147989, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Private, 195784, 12th, 8, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 202214, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +40, Self-emp-inc, 225165, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 54825, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 188905, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +17, Private, 132636, 11th, 7, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 16, United-States, <=50K +42, Local-gov, 228320, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 415500, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K +19, Private, 254247, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, ?, <=50K +43, Private, 255635, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +46, Private, 96080, 9th, 5, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, ?, 78181, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +50, Local-gov, 339547, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, >50K +47, Self-emp-not-inc, 126500, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +31, Private, 511289, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 2907, 0, 99, United-States, <=50K +33, Private, 159574, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 224105, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K +59, Self-emp-not-inc, 128105, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +39, Local-gov, 89508, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 370242, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 67257, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +24, Private, 62952, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 111058, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K +30, Private, 29235, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +52, State-gov, 101119, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Federal-gov, 140516, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 159888, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +19, ?, 45643, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +23, Private, 166371, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 60, United-States, <=50K +37, State-gov, 160910, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, State-gov, 257064, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 38, United-States, <=50K +49, Self-emp-not-inc, 181307, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 65, United-States, >50K +30, Private, 83253, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +40, Private, 128700, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 243010, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 32, United-States, <=50K +35, Self-emp-not-inc, 37778, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3103, 0, 55, United-States, <=50K +24, Private, 132320, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 234755, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 142616, HS-grad, 9, Separated, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K +20, Private, 148509, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, State-gov, 240738, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 32276, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 28, United-States, <=50K +50, Local-gov, 163921, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 464103, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +49, ?, 271346, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 15024, 0, 60, United-States, >50K +30, Local-gov, 327825, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Female, 0, 0, 32, United-States, <=50K +37, Private, 267085, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 266945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 3137, 0, 40, El-Salvador, <=50K +20, Private, 234663, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +49, Self-emp-not-inc, 189123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 50, United-States, <=50K +55, Private, 104996, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +61, Private, 101265, 12th, 8, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Italy, <=50K +22, Private, 184975, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, White, Female, 0, 0, 3, United-States, <=50K +23, Private, 246965, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K +43, Private, 227065, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +39, Private, 301867, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 24, Philippines, <=50K +21, Private, 185948, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +52, Self-emp-inc, 134854, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 281030, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K +42, Private, 126701, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 9562, 0, 45, United-States, >50K +50, Self-emp-not-inc, 95949, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Self-emp-not-inc, 88528, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 99, United-States, <=50K +47, Private, 24723, 10th, 6, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K +49, ?, 171411, 9th, 5, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 184581, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Federal-gov, 100067, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 182863, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Never-worked, 462294, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +61, Private, 85434, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +72, Private, 158092, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 104844, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +54, Self-emp-inc, 304570, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, ?, >50K +47, ?, 89806, Some-college, 10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K +39, Private, 106183, HS-grad, 9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 6849, 0, 40, United-States, <=50K +24, Private, 89347, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 157236, Some-college, 10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Poland, <=50K +19, Private, 261259, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +20, Private, 286166, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +23, Private, 122272, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 248739, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 53, United-States, >50K +20, Private, 224238, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 138157, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K +25, Private, 148460, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 4416, 0, 40, Puerto-Rico, <=50K +67, Private, 236627, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 2, United-States, <=50K +37, Local-gov, 191364, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, France, >50K +36, Private, 353524, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Female, 1831, 0, 40, United-States, <=50K +38, Private, 391040, Assoc-voc, 11, Separated, Tech-support, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 134997, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 80, United-States, <=50K +28, Private, 392487, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 216724, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 174395, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K +63, Private, 383058, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K +60, Self-emp-not-inc, 96073, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +31, Self-emp-inc, 103435, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Self-emp-not-inc, 96718, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K +37, Private, 178948, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 45, United-States, >50K +51, Private, 173987, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 34419, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +27, Private, 224849, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 249857, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +34, Private, 340458, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 427422, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 2377, 25, United-States, >50K +19, ?, 440417, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K +36, Private, 175643, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +35, Private, 297485, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 232954, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 326330, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 1831, 0, 40, United-States, <=50K +25, Private, 109419, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 127768, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, >50K +41, Private, 252986, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +20, Private, 380544, Assoc-acdm, 12, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K +52, Private, 306108, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 232855, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +44, Private, 130126, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +50, Private, 194231, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +49, Self-emp-inc, 197038, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +36, ?, 168223, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +71, State-gov, 26109, Prof-school, 15, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 28, United-States, <=50K +20, Private, 285671, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 25, United-States, <=50K +20, Private, 153583, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, ?, <=50K +59, Self-emp-inc, 103948, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +41, Private, 439919, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3411, 0, 40, Mexico, <=50K +38, Private, 40319, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +55, Local-gov, 159028, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 98675, 9th, 5, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +45, Private, 90758, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +43, Self-emp-not-inc, 75435, HS-grad, 9, Divorced, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K +19, Private, 219189, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +33, Private, 203463, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +63, Private, 187635, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 154641, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K +34, Private, 27153, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 150324, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 83704, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 176262, Assoc-voc, 11, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 36, United-States, <=50K +20, Private, 179423, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 8, United-States, <=50K +45, Private, 168038, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +59, Private, 108765, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +58, Private, 146477, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, Greece, >50K +66, Local-gov, 188220, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, >50K +37, Private, 292855, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 35, United-States, >50K +29, Private, 114870, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, State-gov, 77723, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +39, Private, 284166, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K +57, Private, 133902, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +57, Private, 191318, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Self-emp-inc, 67794, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +44, Self-emp-inc, 357679, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 65, United-States, >50K +56, Private, 117872, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +26, Private, 55929, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +22, ?, 165065, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, Italy, <=50K +26, Self-emp-not-inc, 34307, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K +33, Private, 246038, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Self-emp-not-inc, 147258, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +45, Private, 329144, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Local-gov, 52953, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1669, 38, United-States, <=50K +23, Private, 216181, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 36, Iran, <=50K +23, Private, 391171, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K +35, Local-gov, 223242, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 103925, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 32, United-States, >50K +45, Private, 38240, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 148444, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +56, State-gov, 110257, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Federal-gov, 101345, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 268098, 12th, 8, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 36, United-States, <=50K +21, ?, 369084, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 10, United-States, <=50K +31, Private, 288825, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 40, United-States, <=50K +20, Private, 162688, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 38, United-States, <=50K +17, ?, 48751, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +44, Federal-gov, 184099, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 307496, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 23, United-States, <=50K +71, ?, 176986, HS-grad, 9, Widowed, ?, Unmarried, White, Male, 0, 0, 24, United-States, <=50K +23, Private, 267955, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 283969, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +29, State-gov, 204516, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K +33, Private, 167771, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +46, Private, 345073, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, >50K +21, ?, 380219, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-inc, 306156, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K +70, Self-emp-not-inc, 37203, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 9386, 0, 30, United-States, >50K +19, Private, 185097, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +29, Private, 144808, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 187203, Assoc-acdm, 12, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 125089, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 289458, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 144798, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, ?, 172152, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 25, Taiwan, <=50K +28, Private, 207513, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 48, United-States, <=50K +24, ?, 164574, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +76, Private, 199949, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 20051, 0, 50, United-States, >50K +19, Private, 213024, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 213140, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K +24, Self-emp-not-inc, 83374, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, United-States, >50K +37, Private, 192939, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 424494, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +24, Private, 215243, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +40, Private, 30682, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +20, Private, 306639, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +23, Local-gov, 218678, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 219130, Some-college, 10, Never-married, Other-service, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K +64, Private, 180624, Assoc-acdm, 12, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +53, Local-gov, 200190, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 55, United-States, >50K +28, Private, 194472, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +52, Local-gov, 205767, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +28, Private, 249870, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +31, Private, 211242, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +77, Private, 149912, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +22, Private, 85389, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, ?, 806316, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +38, Private, 329980, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +45, ?, 236612, 11th, 7, Divorced, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 249214, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +50, Private, 257126, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Local-gov, 204397, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 291979, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 138667, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +57, Federal-gov, 42298, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 15024, 0, 40, United-States, >50K +39, Private, 375452, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 48, United-States, >50K +30, Private, 94413, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +31, Federal-gov, 166626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +39, State-gov, 326566, Some-college, 10, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 165503, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 65, United-States, <=50K +48, Private, 102597, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +62, ?, 113234, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 177277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +34, Private, 198103, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 1980, 40, United-States, <=50K +45, Private, 260490, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +32, Private, 237478, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Federal-gov, 36885, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +17, Private, 166242, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +19, ?, 158603, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +25, Private, 274228, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 84, United-States, <=50K +42, Private, 185145, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 57, United-States, <=50K +66, Private, 28367, Bachelors, 13, Married-civ-spouse, Priv-house-serv, Other-relative, White, Male, 0, 0, 99, United-States, <=50K +63, Self-emp-not-inc, 28612, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +43, Private, 191429, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K +26, Private, 459548, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, Mexico, <=50K +23, Private, 65481, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K +39, Private, 186130, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +47, Self-emp-inc, 350759, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 359678, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K +35, Private, 220595, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 29599, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, State-gov, 299153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +46, Private, 75256, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 143583, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +31, State-gov, 207505, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 70, United-States, >50K +41, Private, 308550, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +50, Private, 145717, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +36, Private, 334366, 11th, 7, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +31, ?, 76198, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +45, Self-emp-not-inc, 155489, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +50, Private, 197322, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 194259, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K +40, Private, 346189, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 98361, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +64, ?, 178556, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 56, United-States, >50K +51, Self-emp-inc, 162943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 19302, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +56, State-gov, 67662, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K +35, Private, 126675, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +55, Self-emp-not-inc, 278228, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +30, Private, 169152, HS-grad, 9, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 204052, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 215392, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +43, Self-emp-inc, 83348, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Local-gov, 196816, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 541343, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Local-gov, 55921, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +32, Private, 251701, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +29, Federal-gov, 119848, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 160572, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 47, United-States, <=50K +18, Private, 25837, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 15, United-States, <=50K +20, Private, 236592, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +45, State-gov, 199326, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +22, Private, 341610, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, ?, <=50K +45, Private, 175958, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 198965, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 193537, 7th-8th, 4, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 35, Puerto-Rico, <=50K +24, Private, 438839, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 298227, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +28, Private, 271466, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +23, Private, 335570, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 206891, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 38, United-States, <=50K +23, Private, 162551, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K +45, Private, 145637, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +41, Private, 101290, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Federal-gov, 229376, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 439592, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 161141, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +70, Private, 304570, Bachelors, 13, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 32, Philippines, <=50K +24, Private, 103277, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 2597, 0, 40, United-States, <=50K +28, Local-gov, 407672, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 73928, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K +83, Self-emp-inc, 240150, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 20051, 0, 50, United-States, >50K +69, Private, 230417, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, China, >50K +37, Private, 260093, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 96020, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 104421, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +71, Private, 152307, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 45, United-States, >50K +56, State-gov, 93415, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +27, Local-gov, 282664, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 45, ?, <=50K +42, Self-emp-not-inc, 269733, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 80, United-States, >50K +21, Private, 202871, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 44, United-States, <=50K +29, Private, 169683, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 271603, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, ?, <=50K +32, Private, 340917, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +31, Private, 329874, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 43770, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 4650, 0, 72, United-States, <=50K +55, State-gov, 120781, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +48, Private, 138069, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +58, Self-emp-not-inc, 33309, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +23, Private, 76432, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, State-gov, 277635, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +49, Local-gov, 123088, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, <=50K +51, Private, 57698, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 181820, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 53, United-States, <=50K +40, Self-emp-not-inc, 98985, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +59, Private, 98350, HS-grad, 9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +47, Private, 125120, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +37, Private, 243409, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 58972, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 1506, 0, 40, United-States, <=50K +43, Private, 62857, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 283174, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +48, Private, 107373, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 201155, 9th, 5, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +48, Private, 187505, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 61778, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 223648, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 4101, 0, 48, United-States, <=50K +28, Private, 149652, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K +56, Private, 170324, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Trinadad&Tobago, <=50K +45, Private, 165937, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K +60, State-gov, 114060, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, State-gov, 58913, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +37, State-gov, 378916, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 241885, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 224421, Assoc-voc, 11, Married-AF-spouse, Farming-fishing, Husband, White, Male, 0, 0, 44, United-States, >50K +31, ?, 213771, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +39, Private, 315565, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Cuba, <=50K +31, Local-gov, 153005, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 98211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K +17, Private, 198606, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 16, United-States, <=50K +19, Private, 260333, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +24, Private, 219510, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 32, United-States, <=50K +62, Private, 266624, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6418, 0, 40, United-States, >50K +34, Private, 136862, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, Guatemala, <=50K +47, Self-emp-inc, 215620, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +58, Private, 187067, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 62, Canada, <=50K +23, Private, 325921, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +33, Private, 268127, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +76, Private, 142535, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K +40, Private, 177083, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +28, Private, 77009, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +41, Private, 306405, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K +46, Local-gov, 303918, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 96, United-States, >50K +22, Federal-gov, 262819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 49087, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 53833, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 1033222, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +22, Private, 81145, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +41, Private, 215479, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 43, United-States, <=50K +29, Private, 113464, HS-grad, 9, Never-married, Transport-moving, Other-relative, Other, Male, 0, 0, 40, Dominican-Republic, <=50K +60, Private, 109530, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K +72, Federal-gov, 217864, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-inc, 117721, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K +19, Private, 199484, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +25, Private, 248851, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 116968, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +59, Private, 366618, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +17, Private, 240143, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K +59, ?, 424468, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +69, ?, 320280, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 1848, 0, 1, United-States, <=50K +25, Private, 120238, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 43, United-States, <=50K +50, ?, 194186, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, Private, 247053, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 180599, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +29, Local-gov, 190330, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +29, State-gov, 199450, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +32, Local-gov, 199539, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +17, ?, 94366, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 6, United-States, <=50K +50, Self-emp-not-inc, 29231, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +43, Private, 33126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 102085, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 212064, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +54, State-gov, 166774, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +65, Private, 95303, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +18, ?, 379768, HS-grad, 9, Never-married, ?, Own-child, Other, Female, 0, 0, 40, United-States, <=50K +70, Self-emp-inc, 247383, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 229465, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +37, Private, 135436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K +21, Private, 180052, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 214387, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, State-gov, 149337, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 38, United-States, <=50K +26, Private, 208326, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3942, 0, 45, United-States, <=50K +31, Private, 34374, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +45, Self-emp-not-inc, 58683, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 403037, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 32365, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +49, Private, 155489, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Self-emp-inc, 289886, HS-grad, 9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +30, Federal-gov, 54684, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, ?, <=50K +19, Private, 101549, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +48, Self-emp-inc, 51579, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +41, Private, 40151, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +29, Private, 244721, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 35, United-States, >50K +47, Local-gov, 228372, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K +53, Local-gov, 236873, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +19, Private, 250249, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +71, Private, 93202, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +29, Private, 176723, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +43, Local-gov, 175526, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 91842, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +52, Private, 71768, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 181220, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 204516, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 89172, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K +37, Federal-gov, 143547, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 310889, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Local-gov, 150324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 216472, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +64, Private, 212838, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +45, Private, 168283, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 187702, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +19, Private, 60661, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 52, United-States, <=50K +54, Private, 115284, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, >50K +61, Self-emp-inc, 98350, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K +18, Private, 195372, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +62, ?, 81578, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 111567, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 244572, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K +54, Private, 230919, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 282604, Some-college, 10, Married-civ-spouse, Protective-serv, Other-relative, White, Male, 0, 0, 24, United-States, <=50K +54, Private, 320196, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Germany, <=50K +42, Private, 201466, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +51, Federal-gov, 254211, Masters, 14, Widowed, Sales, Unmarried, White, Male, 0, 0, 50, El-Salvador, >50K +41, Private, 599629, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K +47, Local-gov, 219632, Assoc-acdm, 12, Separated, Exec-managerial, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K +31, State-gov, 161631, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 202373, Assoc-voc, 11, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 169549, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 127185, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K +18, Private, 184277, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +58, Private, 119751, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, Asian-Pac-Islander, Female, 0, 0, 60, Philippines, <=50K +23, Private, 294701, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 26842, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +43, State-gov, 114537, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 126386, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 163787, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 98211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 175509, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 159854, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-inc, 120920, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 187551, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +41, State-gov, 27305, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 216711, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Local-gov, 218596, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 280292, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, <=50K +40, Private, 200496, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 78090, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +23, Private, 118693, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 203488, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +27, Local-gov, 172091, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 113364, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +72, Self-emp-not-inc, 139889, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 74, United-States, <=50K +43, Local-gov, 301638, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 40, United-States, <=50K +32, Private, 110279, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +53, Private, 242859, Some-college, 10, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 40, Cuba, <=50K +18, Private, 132986, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +38, Private, 254439, 10th, 6, Widowed, Transport-moving, Unmarried, Black, Male, 114, 0, 40, United-States, <=50K +41, Federal-gov, 187462, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 264961, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K +70, ?, 148065, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, >50K +46, Self-emp-inc, 200949, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, ?, <=50K +47, Private, 47247, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +56, Local-gov, 571017, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 15, United-States, <=50K +28, Private, 416577, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 2829, 0, 40, United-States, <=50K +55, State-gov, 296991, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +50, State-gov, 45961, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K +47, Private, 302711, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-inc, 50356, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 199336, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K +42, Private, 341178, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, Mexico, <=50K +42, Federal-gov, 70240, Some-college, 10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +46, Private, 229394, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 390368, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 15024, 0, 99, United-States, >50K +55, Private, 82098, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K +57, Private, 170411, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 109532, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 142682, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, Dominican-Republic, <=50K +34, Self-emp-inc, 127651, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +27, Local-gov, 236472, Bachelors, 13, Divorced, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 176047, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 2176, 0, 40, United-States, <=50K +37, Private, 111499, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 425199, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 229009, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K +17, Private, 232713, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 594, 0, 30, United-States, <=50K +70, Private, 141742, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 9386, 0, 50, United-States, >50K +37, Private, 234807, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +45, Private, 738812, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K +56, Private, 204816, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +64, Private, 342494, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 226311, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K +23, Private, 143062, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 125155, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 90, United-States, <=50K +23, Private, 329925, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +26, ?, 208994, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K +56, Local-gov, 212864, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 214242, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +47, Self-emp-not-inc, 191175, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 2179, 50, Mexico, <=50K +21, Private, 118693, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 253593, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +32, State-gov, 206051, Some-college, 10, Married-spouse-absent, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K +72, Private, 497280, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +69, Self-emp-not-inc, 240562, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K +19, Private, 140985, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +25, Local-gov, 191921, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K +56, Private, 204049, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 50, United-States, >50K +42, Private, 331651, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 50, United-States, >50K +58, Private, 142158, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 249046, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 213019, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 38, United-States, >50K +40, Private, 199599, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 186191, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, ?, <=50K +25, Private, 28008, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 82488, Bachelors, 13, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K +36, Private, 117073, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 325786, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 37546, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 204226, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 133299, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 29702, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 307812, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 174545, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 46, United-States, <=50K +23, Private, 233472, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 184147, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +27, Private, 198188, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2580, 0, 45, United-States, <=50K +32, Private, 447066, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 15024, 0, 50, United-States, >50K +33, Private, 200246, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 166585, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +21, Private, 335570, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, ?, <=50K +39, Private, 53569, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 167065, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 113364, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +40, Federal-gov, 219266, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Federal-gov, 200042, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +20, Private, 205975, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +63, ?, 234083, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 2205, 40, United-States, <=50K +56, Private, 65325, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Local-gov, 194740, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 99065, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 39, United-States, <=50K +25, Private, 212793, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +33, Private, 112941, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +41, State-gov, 187322, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 283676, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 173682, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 168470, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 186454, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 13550, 0, 40, United-States, >50K +58, Private, 141807, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, <=50K +25, Private, 245628, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 15, Mexico, <=50K +31, Private, 264864, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +39, Private, 262841, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +55, Private, 37438, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 170800, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K +44, Private, 152150, Assoc-acdm, 12, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, ?, 211873, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 1628, 5, ?, <=50K +44, Private, 159580, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 477209, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, United-States, <=50K +32, Private, 70985, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 241998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 249541, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 135339, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +32, Private, 44675, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K +46, State-gov, 247992, 7th-8th, 4, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +26, Self-emp-not-inc, 221626, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1579, 20, United-States, <=50K +43, Self-emp-inc, 48087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Local-gov, 114045, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +60, State-gov, 69251, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 38, China, >50K +67, Private, 192670, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 268392, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +55, ?, 170994, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 431513, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K +19, State-gov, 37332, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 35865, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +43, Private, 183891, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 150309, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 90, United-States, <=50K +65, Private, 93318, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K +32, Private, 171814, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, State-gov, 183735, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 353541, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +33, Local-gov, 152351, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K +72, ?, 271352, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K +34, Private, 345705, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K +27, Private, 223751, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +75, Self-emp-inc, 164570, 11th, 7, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +39, ?, 281363, 10th, 6, Widowed, ?, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +51, Private, 110747, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K +47, Private, 34458, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 254293, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 270147, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +48, Private, 195491, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +36, Local-gov, 255454, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +18, Private, 126125, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +33, Private, 618191, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 163110, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 145409, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 48, United-States, >50K +39, State-gov, 235379, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 55465, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +67, Local-gov, 181220, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +42, Private, 26672, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +59, Private, 98361, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 219883, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 376683, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 2036, 0, 30, United-States, <=50K +47, Private, 33865, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +68, Private, 168794, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +30, Private, 94245, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 34572, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +49, Private, 348751, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 65382, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Private, 116707, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K +51, Private, 178054, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, >50K +24, Private, 140001, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 166889, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 1602, 35, United-States, <=50K +24, Private, 117789, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 238917, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +48, Local-gov, 242923, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1848, 40, United-States, >50K +52, Local-gov, 330799, 9th, 5, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 209460, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Federal-gov, 75313, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 66, United-States, >50K +29, ?, 339100, 11th, 7, Divorced, ?, Not-in-family, White, Female, 3418, 0, 48, United-States, <=50K +20, Private, 184779, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K +31, Private, 139000, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +30, Private, 361742, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 260782, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, ?, <=50K +51, Private, 203435, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 100579, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 356067, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K +46, Private, 87250, Bachelors, 13, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 264663, Some-college, 10, Separated, Prof-specialty, Own-child, White, Female, 0, 3900, 40, United-States, <=50K +29, Private, 255817, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, El-Salvador, <=50K +48, Self-emp-not-inc, 243631, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 30, South, <=50K +34, Self-emp-inc, 544268, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +42, Self-emp-not-inc, 98061, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 95691, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, Columbia, <=50K +47, Private, 145868, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 65038, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 227734, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 22, United-States, <=50K +19, Local-gov, 176831, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +22, Private, 211678, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Local-gov, 157240, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 70, United-States, <=50K +41, Self-emp-not-inc, 145441, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K +71, Self-emp-inc, 66624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 60, United-States, >50K +42, Private, 76487, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, State-gov, 557853, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K +69, ?, 262352, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K +58, Self-emp-not-inc, 118253, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +36, Private, 146625, 11th, 7, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K +31, Private, 174201, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +20, ?, 66695, Some-college, 10, Never-married, ?, Own-child, Other, Female, 594, 0, 35, United-States, <=50K +41, Private, 121130, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 385847, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, ?, 83439, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 114158, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K +27, Private, 381789, 12th, 8, Married-civ-spouse, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K +17, Private, 82041, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Canada, <=50K +35, Self-emp-not-inc, 115618, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +45, Self-emp-not-inc, 106110, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 99, United-States, <=50K +44, Private, 267521, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 90692, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +51, Private, 57101, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 236913, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +64, Self-emp-not-inc, 388625, 10th, 6, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, >50K +54, Self-emp-not-inc, 261207, 7th-8th, 4, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, Cuba, <=50K +43, Private, 245487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +32, Private, 262153, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +36, Private, 225516, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 10520, 0, 43, United-States, >50K +26, Self-emp-not-inc, 68729, HS-grad, 9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K +37, Private, 126954, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Private, 85074, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 383306, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 128143, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 50, United-States, >50K +47, Private, 185041, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +42, Private, 99373, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, Local-gov, 157942, HS-grad, 9, Widowed, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +43, Private, 241928, HS-grad, 9, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K +37, Private, 348739, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +37, Private, 95654, 10th, 6, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +25, Private, 367306, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 270421, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +63, ?, 221592, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Self-emp-not-inc, 156951, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K +42, State-gov, 39239, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +32, Private, 72744, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, State-gov, 367292, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 408498, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 361493, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +65, Self-emp-inc, 157403, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 231263, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 244147, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 10, United-States, <=50K +24, Private, 220944, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +51, Federal-gov, 314007, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +67, ?, 200862, 10th, 6, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +28, Private, 33374, 11th, 7, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +32, Self-emp-inc, 345489, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +77, Private, 83601, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 162302, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 112847, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 147344, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +57, State-gov, 183657, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, >50K +40, Private, 130760, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +50, Private, 163948, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 316797, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, Mexico, <=50K +54, Federal-gov, 332243, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 195844, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Local-gov, 387250, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +38, State-gov, 188303, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 40, United-States, >50K +68, ?, 40956, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +17, Private, 178953, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 398988, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 535978, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +42, Private, 296982, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 231991, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 295799, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, State-gov, 201569, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +58, Private, 193568, 11th, 7, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 97128, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +42, Private, 203393, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 35, United-States, >50K +49, Private, 138370, Masters, 14, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +41, Self-emp-inc, 120277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K +43, Private, 91949, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 228372, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, >50K +28, Private, 132191, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Self-emp-not-inc, 274683, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +50, Local-gov, 196307, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +57, Private, 195835, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 185399, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, United-States, <=50K +79, Self-emp-not-inc, 103684, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 140559, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 45, United-States, <=50K +35, Federal-gov, 110188, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +35, Local-gov, 668319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 80, United-States, <=50K +30, Private, 112358, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K +26, Private, 151810, 10th, 6, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +49, Private, 48120, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 1506, 0, 40, United-States, <=50K +48, Private, 144844, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 205839, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 113760, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +50, Private, 138358, 10th, 6, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 47, Jamaica, <=50K +47, Self-emp-not-inc, 216657, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 278576, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 174373, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +73, Private, 220019, 9th, 5, Widowed, Other-service, Unmarried, White, Female, 0, 0, 9, United-States, <=50K +24, ?, 311949, HS-grad, 9, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, ?, <=50K +34, Private, 303867, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 154210, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K +28, ?, 131310, 12th, 8, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, Germany, <=50K +46, Private, 202560, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +20, ?, 358783, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +29, Private, 423024, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +24, Private, 206671, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, State-gov, 245310, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +18, Private, 31983, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 124956, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 90, United-States, >50K +59, Private, 118358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 491421, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 151580, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 248990, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 24, Mexico, <=50K +42, Private, 157425, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +36, Private, 221650, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Japan, <=50K +62, Private, 88055, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, >50K +71, Private, 216608, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 682947, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +44, Private, 228124, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +19, ?, 217194, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +49, Self-emp-not-inc, 171540, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +60, Self-emp-inc, 210827, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +28, Self-emp-not-inc, 410351, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Poland, <=50K +26, Private, 163747, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +18, Private, 108892, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +43, Private, 180096, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +65, Local-gov, 153890, 12th, 8, Widowed, Exec-managerial, Not-in-family, White, Male, 2009, 0, 44, United-States, <=50K +23, Private, 117480, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 44, United-States, <=50K +21, Private, 163333, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +20, Self-emp-not-inc, 306710, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 150553, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 18, Philippines, <=50K +77, Private, 123959, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +32, Private, 24961, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 327120, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +29, Self-emp-not-inc, 33798, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +59, Private, 81929, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 45, United-States, >50K +22, Private, 298489, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, ?, 101697, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K +31, Private, 144064, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +59, Self-emp-not-inc, 195835, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, Federal-gov, 184723, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +56, Private, 265086, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +19, Private, 235909, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 42645, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, State-gov, 279878, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 104892, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 137063, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 38, United-States, <=50K +38, Self-emp-not-inc, 58972, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 126675, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +19, Private, 286435, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 40, United-States, <=50K +46, Private, 191389, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 28, United-States, >50K +42, Private, 183241, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +29, Private, 91547, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 52781, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +29, Private, 210959, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 365516, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 112271, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 269455, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 164379, Bachelors, 13, Divorced, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, >50K +28, Private, 109621, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 104858, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, >50K +39, Private, 99270, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 193524, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +70, ?, 149040, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2964, 0, 12, United-States, <=50K +60, State-gov, 313946, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 162358, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +59, Private, 200700, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 48, United-States, >50K +21, Private, 116489, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K +22, Private, 118310, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 16, United-States, <=50K +31, Private, 352465, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +40, Private, 107433, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +33, Private, 296538, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Local-gov, 195897, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Self-emp-not-inc, 216283, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, >50K +62, Private, 345780, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 216685, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K +28, Local-gov, 210945, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K +43, Private, 184321, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1887, 40, United-States, >50K +55, Self-emp-not-inc, 322691, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 55, United-States, >50K +42, Private, 192712, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +23, Private, 178272, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Federal-gov, 321333, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Self-emp-inc, 120277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 45, United-States, >50K +19, Private, 294029, 11th, 7, Never-married, Sales, Own-child, Other, Female, 0, 0, 32, Nicaragua, <=50K +23, Private, 112819, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 152636, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +63, ?, 301611, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +51, Private, 134808, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 64216, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K +29, State-gov, 214284, Masters, 14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, Taiwan, <=50K +25, Private, 469572, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +44, Self-emp-not-inc, 282722, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +17, Private, 231439, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +42, Self-emp-inc, 120277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 364685, 11th, 7, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K +26, Private, 18827, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 169129, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 202051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +58, ?, 353244, Bachelors, 13, Widowed, ?, Unmarried, White, Female, 27828, 0, 50, United-States, >50K +19, Private, 574271, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K +65, State-gov, 29276, 7th-8th, 4, Widowed, Other-service, Other-relative, White, Female, 0, 0, 24, United-States, <=50K +52, Self-emp-not-inc, 104501, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K +17, Private, 394176, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 85625, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 22, United-States, <=50K +53, Private, 340723, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 149342, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 73715, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 143083, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 18, United-States, <=50K +40, Local-gov, 290660, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K +49, Local-gov, 98738, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +86, Private, 149912, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 309033, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 60, United-States, >50K +43, Self-emp-not-inc, 96129, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K +47, Private, 216096, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K +32, Private, 171091, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +30, Self-emp-not-inc, 79303, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Local-gov, 182380, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 36271, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Private, 118197, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K +46, Private, 269652, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 38, United-States, >50K +39, Local-gov, 193815, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 141957, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 70, United-States, >50K +26, Private, 222637, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, Puerto-Rico, <=50K +27, Private, 118230, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 174040, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +64, State-gov, 105748, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +90, Self-emp-not-inc, 82628, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 2964, 0, 12, United-States, <=50K +51, Private, 205100, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +36, Private, 107916, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 40, United-States, <=50K +39, Private, 130620, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Dominican-Republic, <=50K +30, ?, 361817, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +47, Self-emp-not-inc, 235646, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 53277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +24, Private, 456460, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 293091, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +62, Private, 210935, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +48, ?, 199763, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K +62, ?, 223447, 12th, 8, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +35, Self-emp-not-inc, 233533, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +27, Private, 95647, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +49, Private, 199763, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +18, Private, 74539, 10th, 6, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +19, Private, 84610, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +63, Self-emp-inc, 96930, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 115602, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K +24, Private, 237341, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +61, Private, 143800, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Self-emp-inc, 163921, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K +36, Private, 68273, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 113163, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K +38, Self-emp-inc, 478829, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K +30, Private, 345705, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 385077, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 2907, 0, 40, United-States, <=50K +33, Private, 192286, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 52, United-States, <=50K +39, Local-gov, 236391, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, >50K +42, Private, 106679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +47, ?, 308242, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 46094, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K +29, Private, 194940, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 341643, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +23, Private, 210474, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +28, Private, 76313, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +34, Private, 115858, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 55191, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +67, Self-emp-not-inc, 364862, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 334787, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 205733, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, ?, 120163, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 333677, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 2463, 0, 35, United-States, <=50K +25, Private, 208591, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 341204, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 1831, 0, 30, United-States, <=50K +56, Self-emp-not-inc, 115422, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-inc, 111319, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 45, United-States, >50K +54, Private, 816750, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K +25, Private, 167835, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K +28, Private, 92262, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 91964, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 107682, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, State-gov, 135388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 597843, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, Columbia, <=50K +19, Private, 389942, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 442274, 12th, 8, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 595461, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +52, Private, 284329, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +33, Self-emp-not-inc, 127894, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 196899, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Haiti, <=50K +58, Private, 212534, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 71209, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +39, Private, 237943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 70, United-States, >50K +38, Private, 190759, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 100313, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +41, Private, 344624, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +27, ?, 194024, 9th, 5, Separated, ?, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +19, Private, 87497, 11th, 7, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 10, United-States, <=50K +22, Private, 236907, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +59, Private, 169639, Assoc-acdm, 12, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 105803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K +31, Private, 149507, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K +18, Private, 294387, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 161708, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +28, Private, 282389, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 64940, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 195727, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 37931, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 170720, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +43, Private, 152958, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +28, Private, 312372, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 15024, 0, 40, United-States, >50K +41, Private, 39581, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 24, El-Salvador, <=50K +50, Private, 206862, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +46, Private, 216934, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Portugal, <=50K +20, Private, 143062, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 242391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +28, Private, 165030, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +37, Private, 199251, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 353012, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K +66, Private, 174491, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, ?, 333305, Some-college, 10, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 203138, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, >50K +25, Private, 220220, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K +55, Federal-gov, 305850, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +48, Local-gov, 273402, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 40, United-States, <=50K +56, Private, 201344, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +47, Self-emp-not-inc, 218676, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +55, Self-emp-not-inc, 141807, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, State-gov, 222434, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 266860, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +40, Private, 34113, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 6849, 0, 43, United-States, <=50K +41, Private, 159549, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 195248, Some-college, 10, Never-married, Sales, Own-child, Other, Female, 0, 0, 20, United-States, <=50K +52, Private, 109413, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 195343, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 15020, 0, 50, United-States, >50K +46, Private, 185291, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K +21, ?, 140012, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +35, Self-emp-not-inc, 114366, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 169631, HS-grad, 9, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 163870, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 3908, 0, 40, United-States, <=50K +35, Private, 312232, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 229737, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, India, >50K +70, ?, 306563, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 161637, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Taiwan, >50K +34, Private, 106014, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +21, Private, 25265, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +29, Private, 71860, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +41, Self-emp-inc, 94113, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +51, Self-emp-not-inc, 208003, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 113550, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 83046, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-inc, 277488, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 65, United-States, >50K +19, Private, 205830, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K +46, Private, 273575, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 40, United-States, >50K +23, Private, 245147, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +49, Private, 274720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 163047, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, State-gov, 47902, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Private, 128798, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +77, Private, 154205, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +27, Private, 176683, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, Self-emp-inc, 104737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +54, Private, 349340, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +39, State-gov, 218249, Some-college, 10, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +32, Private, 281540, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Federal-gov, 112847, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +24, Local-gov, 126613, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +50, Self-emp-not-inc, 145419, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K +32, Self-emp-not-inc, 34572, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +26, Private, 104045, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, ?, 57665, Bachelors, 13, Divorced, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 359001, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K +47, Private, 105273, Bachelors, 13, Widowed, Craft-repair, Unmarried, Black, Female, 6497, 0, 40, United-States, <=50K +31, Private, 201122, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 160035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +50, Private, 167886, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 32059, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +59, Self-emp-inc, 200453, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 403072, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 37210, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 199416, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 413227, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +29, ?, 188675, Some-college, 10, Divorced, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +42, Private, 226902, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +37, Private, 195189, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 116608, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 99131, Masters, 14, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +32, Private, 553405, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 50, United-States, >50K +52, Local-gov, 186117, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K +29, State-gov, 67053, HS-grad, 9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K +39, Private, 347960, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 35, United-States, >50K +39, Private, 325374, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +69, Private, 130413, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 2346, 0, 15, United-States, <=50K +43, Private, 111949, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K +39, Private, 278557, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 48, United-States, <=50K +19, Private, 194905, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +60, Local-gov, 195453, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +51, Private, 282549, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 3137, 0, 40, United-States, <=50K +75, Private, 316119, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +37, State-gov, 252939, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 5455, 0, 40, United-States, <=50K +24, State-gov, 506329, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +20, Private, 316043, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 594, 0, 20, United-States, <=50K +58, Federal-gov, 319733, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K +21, State-gov, 99199, Masters, 14, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K +28, Private, 204600, HS-grad, 9, Separated, Protective-serv, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 173307, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 34446, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Self-emp-not-inc, 237293, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K +41, Private, 175642, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 203735, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Local-gov, 171589, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +26, Private, 197967, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K +29, Private, 413297, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K +45, Private, 240841, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 152189, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 85874, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 176814, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +51, Local-gov, 133336, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +22, Private, 362623, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 37170, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K +28, Private, 30912, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 35448, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +33, Private, 173248, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, United-States, <=50K +37, Private, 49626, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 43, United-States, <=50K +19, Private, 102723, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +90, ?, 166343, 1st-4th, 2, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 168322, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 131117, 7th-8th, 4, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 38, Columbia, <=50K +20, ?, 210474, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K +25, Private, 110138, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 107452, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 160594, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +32, Local-gov, 186784, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5013, 0, 45, United-States, <=50K +70, Local-gov, 334666, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +65, ?, 191380, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 50, United-States, >50K +57, Private, 104272, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 19491, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 128715, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +34, Private, 128063, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +26, Self-emp-not-inc, 37023, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 78, United-States, <=50K +44, Private, 68748, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +66, Private, 140576, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 327435, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 202729, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 277471, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 189670, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, United-States, <=50K +61, Private, 204908, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 171841, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 78247, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 68895, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K +27, Private, 56658, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 8, United-States, <=50K +58, Local-gov, 259216, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, State-gov, 270278, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 12, Puerto-Rico, <=50K +56, Private, 238806, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 26, United-States, <=50K +36, Private, 111128, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +29, Private, 119429, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 73037, 10th, 6, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 30, United-States, <=50K +61, Self-emp-not-inc, 84409, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +66, Self-emp-not-inc, 274451, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, >50K +31, Private, 246439, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 50, United-States, >50K +21, Private, 124242, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +67, Self-emp-not-inc, 123393, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 6418, 0, 58, United-States, >50K +26, Private, 159732, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 161415, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 157568, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 168030, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +59, State-gov, 349910, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 50, United-States, >50K +82, Self-emp-inc, 130329, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, State-gov, 56964, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +29, Private, 370509, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, France, >50K +19, Private, 106306, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 56480, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 1, United-States, <=50K +41, Private, 115932, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +55, Private, 154580, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 2580, 0, 40, United-States, <=50K +27, Private, 404421, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 194901, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +43, State-gov, 164790, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K +72, Federal-gov, 94242, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +68, Self-emp-not-inc, 365020, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 160512, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 170331, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 101266, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 100252, Bachelors, 13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male, 99999, 0, 70, United-States, >50K +54, Private, 217718, 5th-6th, 3, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 30, Haiti, <=50K +32, Private, 170154, Assoc-acdm, 12, Separated, Exec-managerial, Unmarried, White, Female, 25236, 0, 50, United-States, >50K +56, Private, 105281, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K +39, ?, 361838, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 6, United-States, >50K +41, State-gov, 283917, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +48, Private, 39530, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 212185, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K +25, Self-emp-inc, 90752, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +31, Private, 202450, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1573, 40, United-States, <=50K +32, Private, 168138, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 2597, 0, 48, United-States, <=50K +51, Private, 159755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +42, Private, 191765, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 2339, 40, Trinadad&Tobago, <=50K +22, ?, 210802, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +31, Private, 340880, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +43, Self-emp-not-inc, 113211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 134509, Some-college, 10, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +20, State-gov, 147280, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 40, United-States, <=50K +40, Private, 145441, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Private, 398001, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +53, Private, 31588, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, >50K +56, Private, 189975, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 60, United-States, >50K +51, State-gov, 231495, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K +38, ?, 121135, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 186916, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Self-emp-inc, 213140, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K +47, Private, 176893, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 8614, 0, 44, United-States, >50K +22, Private, 115244, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 313243, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K +41, Local-gov, 169995, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +19, Private, 198459, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 2001, 40, United-States, <=50K +27, Local-gov, 66824, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 3325, 0, 43, United-States, <=50K +48, Self-emp-not-inc, 52240, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, >50K +52, Private, 35305, 7th-8th, 4, Never-married, Other-service, Own-child, White, Female, 0, 0, 7, United-States, <=50K +61, State-gov, 186451, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +45, Self-emp-not-inc, 160724, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K +29, Private, 210464, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 207685, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K +38, Private, 233717, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Male, 0, 0, 60, United-States, <=50K +32, Private, 222205, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +37, Private, 167613, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 148773, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Local-gov, 68268, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 174533, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 273230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 187502, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 24, United-States, <=50K +47, Private, 209320, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 56841, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K +55, Private, 254627, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 42703, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 374137, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 196385, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 192930, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +39, Private, 99527, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 185437, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +43, Private, 247162, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Federal-gov, 131534, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 184693, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, Mexico, <=50K +27, Private, 704108, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 220262, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 95654, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K +67, Private, 89346, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 94392, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 334113, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 32763, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +31, Private, 136651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +51, Self-emp-not-inc, 240236, Assoc-acdm, 12, Separated, Sales, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +29, Private, 53271, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 31493, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K +32, Private, 195891, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Local-gov, 209103, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3464, 0, 45, United-States, <=50K +26, Private, 211424, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Local-gov, 84657, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 151408, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 106819, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 19, United-States, <=50K +62, Private, 132917, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 20, United-States, <=50K +54, Private, 146834, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K +55, Private, 164332, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +24, Private, 30656, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 113501, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 45, United-States, <=50K +18, Private, 165316, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K +22, Private, 233955, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 14344, 0, 40, United-States, >50K +21, Private, 126613, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Self-emp-not-inc, 361280, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 80, Philippines, >50K +50, ?, 123044, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K +38, Private, 165472, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 99452, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 84977, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 240458, 11th, 7, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +51, Private, 230858, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 60, United-States, >50K +60, Private, 123218, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, ?, 191118, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 7298, 0, 40, United-States, >50K +38, Private, 115289, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 373895, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +43, Private, 152617, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +49, State-gov, 72619, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +17, Private, 41865, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +32, Private, 190228, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +23, Private, 193090, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +28, Private, 138692, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +83, Self-emp-inc, 153183, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 55, United-States, >50K +25, Private, 181896, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 268183, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 60, United-States, <=50K +46, Local-gov, 213668, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 99369, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 50, United-States, <=50K +44, Private, 104196, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +60, Self-emp-not-inc, 176839, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +30, Local-gov, 99502, Assoc-voc, 11, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +24, Private, 183410, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 17, United-States, <=50K +17, Private, 25690, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +76, ?, 201986, 11th, 7, Widowed, ?, Other-relative, White, Female, 0, 0, 16, United-States, <=50K +31, Private, 188961, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 114971, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 121468, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K +73, Self-emp-inc, 191540, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Private, 146398, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K +48, Private, 193553, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +60, Private, 121127, 10th, 6, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 389856, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 290504, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +54, State-gov, 137065, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +50, Local-gov, 212685, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 71475, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 111450, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 22, United-States, <=50K +35, Private, 225860, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 129853, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +50, Private, 99925, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 32, United-States, <=50K +58, Private, 227800, 1st-4th, 2, Separated, Farming-fishing, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +55, State-gov, 111130, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +29, Private, 100764, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +47, Private, 275095, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 147500, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K +63, Local-gov, 150079, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +27, Private, 140863, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +62, ?, 199198, 11th, 7, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 193372, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 196771, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +31, Private, 231826, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 52, Mexico, <=50K +40, Federal-gov, 196456, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 34037, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +52, Private, 174964, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 91608, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 403468, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, Mexico, <=50K +33, Private, 112900, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 242670, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Local-gov, 187830, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 4934, 0, 36, United-States, >50K +25, Self-emp-not-inc, 368115, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 35, United-States, >50K +54, Private, 343242, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 113390, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1740, 60, United-States, <=50K +28, Private, 200733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Self-emp-not-inc, 236769, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 22494, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Federal-gov, 129379, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 239098, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 167501, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 77146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +47, Private, 82797, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Self-emp-not-inc, 134886, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +40, Self-emp-inc, 218558, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +38, Private, 207568, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K +26, Private, 196899, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 200960, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Private, 188069, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K +60, Private, 232337, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 98656, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, State-gov, 194260, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +49, ?, 481987, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 234976, 11th, 7, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +29, Private, 349116, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +39, Private, 175390, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +42, Private, 187720, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, ?, >50K +26, Private, 214637, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +27, Private, 185127, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 98752, 9th, 5, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, Local-gov, 218382, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +51, Private, 153486, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +51, Federal-gov, 174102, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 137142, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +61, Private, 241013, 7th-8th, 4, Widowed, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 267798, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +41, ?, 152880, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 28, United-States, <=50K +31, Private, 263561, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 113324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +20, Private, 39764, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 172186, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 460408, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 45, United-States, <=50K +42, Self-emp-not-inc, 185129, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +51, Private, 61270, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Self-emp-inc, 124685, Masters, 14, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 99, Japan, >50K +69, Self-emp-not-inc, 76968, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K +63, ?, 310396, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 5178, 0, 40, United-States, >50K +29, Federal-gov, 37933, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 2174, 0, 40, United-States, <=50K +21, Private, 38772, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 172496, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +55, Private, 306164, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 33795, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +48, Private, 47686, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 193132, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +52, Private, 400004, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 101283, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 192384, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 113838, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 278322, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +56, Private, 199713, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 236021, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 138938, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K +36, Private, 126946, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 44791, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 31964, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, State-gov, 352156, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +70, Self-emp-not-inc, 205860, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 113106, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +57, Private, 89182, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 250782, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +37, Private, 193855, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 50, United-States, <=50K +50, Self-emp-not-inc, 132716, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +68, Private, 218637, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2377, 55, United-States, >50K +28, Private, 177955, 11th, 7, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K +32, Private, 198660, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 207937, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K +18, Private, 168740, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +45, Private, 199625, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +22, Private, 213902, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +38, Private, 208379, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +37, Private, 113120, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 57827, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 515712, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 54190, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +53, Self-emp-inc, 134793, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +18, Private, 396270, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K +30, Private, 231620, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +50, Private, 174655, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +63, ?, 97823, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 344480, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 40, United-States, <=50K +48, Private, 176732, 9th, 5, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 143932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 551962, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 50, Peru, <=50K +30, ?, 298577, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +39, Private, 257942, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +55, Local-gov, 253062, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 193748, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +46, Private, 368561, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +50, Private, 192964, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 65, United-States, <=50K +32, Private, 217304, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +18, Private, 120029, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 62124, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +50, Private, 94885, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +32, Private, 192565, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +23, Local-gov, 220912, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +26, Private, 184120, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 140782, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +43, Self-emp-inc, 170785, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +32, Private, 90705, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +37, State-gov, 108293, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +48, Private, 168283, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 339372, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K +43, Private, 193672, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 143865, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +30, Private, 209317, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, Dominican-Republic, <=50K +34, State-gov, 204461, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 137088, HS-grad, 9, Married-civ-spouse, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +41, Private, 149102, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +53, Private, 182855, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +42, Private, 572751, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K +18, Private, 83451, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +81, Private, 98116, Bachelors, 13, Widowed, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +40, Private, 119225, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 134888, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K +20, Private, 745817, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 15, United-States, <=50K +41, Private, 88368, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +49, State-gov, 122066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +22, Private, 363219, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +46, Private, 84402, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +56, Private, 34626, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K +35, Private, 150042, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +34, Private, 48014, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +29, Local-gov, 177398, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +28, Private, 373698, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, <=50K +35, Private, 422933, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +29, Private, 131088, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 178255, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, Columbia, <=50K +52, Self-emp-not-inc, 129311, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 95, United-States, >50K +45, Private, 473171, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 236985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +35, ?, 226379, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +21, ?, 277700, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +35, Private, 207568, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 85708, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 98765, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Canada, <=50K +29, Private, 192283, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +29, State-gov, 271012, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 189265, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 321880, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 15, United-States, <=50K +52, Private, 177465, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +24, Private, 127647, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +32, State-gov, 119033, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 289748, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 4650, 0, 48, United-States, <=50K +32, Private, 209317, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +33, Private, 284531, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 251120, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +28, Private, 113870, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +62, Without-pay, 170114, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Local-gov, 121124, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 40, United-States, >50K +32, Private, 328199, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K +26, Private, 206307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-inc, 236021, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +57, Federal-gov, 170603, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 74275, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K +35, Self-emp-not-inc, 112271, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +19, Private, 118306, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K +49, Private, 126754, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +47, Private, 267205, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, ?, >50K +38, Private, 205359, 11th, 7, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 32, United-States, <=50K +30, Private, 398662, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 202498, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Columbia, <=50K +32, Private, 105650, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +46, Private, 191204, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 56582, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +47, Local-gov, 51579, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K +57, Self-emp-not-inc, 152030, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, >50K +47, Private, 227310, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 55854, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K +36, Local-gov, 28996, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 160634, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 222450, 11th, 7, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K +36, Self-emp-inc, 180419, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +64, Private, 116084, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 40, United-States, <=50K +17, Private, 202521, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +23, Private, 186014, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +40, Private, 88368, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 914, 0, 40, United-States, <=50K +42, State-gov, 190044, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +37, Self-emp-not-inc, 35330, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K +35, Federal-gov, 84848, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 176280, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +52, Private, 145271, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 108320, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +48, State-gov, 106377, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K +24, Private, 258730, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, Japan, <=50K +33, Private, 58305, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 341672, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +34, Private, 176648, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K +24, ?, 32616, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 481175, Some-college, 10, Never-married, Exec-managerial, Own-child, Other, Male, 0, 0, 24, Peru, <=50K +49, Private, 187454, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 65, United-States, >50K +18, Private, 25837, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +20, Private, 385077, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 68985, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +19, Private, 181572, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 23698, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K +34, ?, 268127, 12th, 8, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 162298, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 144608, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 250630, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +31, Private, 150441, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +37, Private, 189251, Doctorate, 16, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +64, Private, 260082, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K +42, Private, 139126, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 50132, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +36, Self-emp-not-inc, 167691, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +36, Private, 77820, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 156513, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +46, Private, 248059, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3464, 0, 40, United-States, <=50K +24, Private, 283092, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 35, Jamaica, <=50K +22, Private, 175883, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +62, Private, 232308, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 269991, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K +20, Private, 305446, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 120781, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, ?, >50K +57, Private, 78707, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 351802, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, United-States, <=50K +37, Local-gov, 196529, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +35, Self-emp-inc, 175769, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +17, Private, 153021, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +36, Local-gov, 331902, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +50, Private, 279461, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 145704, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3942, 0, 35, United-States, <=50K +27, State-gov, 205499, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 77, United-States, <=50K +28, Private, 293926, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 30, United-States, <=50K +29, Self-emp-not-inc, 69132, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 99999, 0, 60, United-States, >50K +25, Private, 113099, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-inc, 206947, Assoc-acdm, 12, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 67, United-States, <=50K +29, State-gov, 159782, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +19, Private, 410543, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 34446, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 209101, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K +43, Federal-gov, 95902, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 214323, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 236323, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Federal-gov, 201127, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K +40, Private, 142886, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 77313, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +17, ?, 212125, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +36, Private, 187098, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 196857, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +53, Local-gov, 155314, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +72, Self-emp-not-inc, 203289, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +46, Private, 117059, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +33, Private, 178587, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +22, Private, 82393, 9th, 5, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +17, ?, 145258, 11th, 7, Never-married, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +41, Private, 185145, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, ?, >50K +46, Private, 72896, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K +33, Private, 134886, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 223212, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +52, Self-emp-not-inc, 174752, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 230563, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +48, State-gov, 353824, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K +22, Private, 117363, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +25, Private, 285367, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +60, ?, 139391, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 42, United-States, <=50K +38, Private, 198170, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 38948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 188515, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 177810, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +48, Private, 188432, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 46, United-States, >50K +31, Private, 178506, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 129298, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 165315, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +68, Private, 117236, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 45, United-States, >50K +18, ?, 172214, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +19, Private, 63434, 12th, 8, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 30, United-States, <=50K +35, Self-emp-inc, 140854, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 133043, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +53, Private, 113176, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 2597, 0, 40, United-States, <=50K +33, Private, 259301, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 41, United-States, <=50K +20, Private, 196643, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 364365, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +36, Private, 269318, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 108454, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 171637, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 183589, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K +24, Private, 107801, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 179877, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 168981, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +37, Private, 120590, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +31, Private, 310773, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +21, Private, 197050, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +47, Private, 159726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 85, United-States, >50K +23, Private, 210797, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 55291, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +60, ?, 141221, Bachelors, 13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 2163, 25, South, <=50K +17, Private, 276718, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +67, Private, 336163, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 24, United-States, <=50K +57, Private, 112840, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +17, Private, 165918, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, Peru, <=50K +53, Private, 165745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Self-emp-not-inc, 259299, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 50, United-States, >50K +24, State-gov, 197731, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 49, United-States, >50K +48, Self-emp-not-inc, 197702, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 162238, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 47, United-States, >50K +38, Private, 213260, HS-grad, 9, Separated, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +51, Private, 53833, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, >50K +18, Private, 89419, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K +23, Private, 119704, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 433170, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +34, Private, 182714, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, ?, <=50K +39, Private, 172538, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 220115, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K +39, Private, 158956, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +21, Self-emp-not-inc, 25631, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 476558, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +54, Federal-gov, 35576, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 203463, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, State-gov, 317647, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 170411, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, ?, 174182, 11th, 7, Married-civ-spouse, ?, Wife, Other, Female, 0, 0, 24, United-States, <=50K +54, Private, 220055, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 231482, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 335979, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 991, 0, 18, United-States, <=50K +33, Private, 279173, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 89559, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 161950, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, Germany, <=50K +51, Private, 131068, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 219632, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 175507, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +58, Self-emp-inc, 182062, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, >50K +27, Private, 287476, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 3325, 0, 40, United-States, <=50K +36, Private, 206253, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 1617, 40, United-States, <=50K +20, ?, 189203, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 21698, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 328051, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +32, Private, 356689, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 3887, 0, 40, United-States, <=50K +59, Private, 121865, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 420986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +43, ?, 218558, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 288992, 10th, 6, Divorced, Prof-specialty, Unmarried, White, Male, 14344, 0, 68, United-States, >50K +20, ?, 189740, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K +29, Local-gov, 188909, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 42, United-States, <=50K +28, Private, 213081, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K +18, Self-emp-not-inc, 157131, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 98010, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +46, Private, 207677, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +58, ?, 361870, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K +56, Private, 266091, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K +41, Private, 106627, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K +50, Self-emp-inc, 167793, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 60, United-States, >50K +74, Self-emp-not-inc, 206682, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1648, 35, United-States, <=50K +30, Private, 243165, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 201928, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 128346, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 197288, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +20, ?, 169184, Some-college, 10, Never-married, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 245521, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, Mexico, <=50K +36, Private, 129591, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 47415, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1628, 30, United-States, <=50K +37, Self-emp-not-inc, 188563, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K +29, Self-emp-not-inc, 184710, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 63734, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +18, Private, 111256, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +40, Self-emp-inc, 111483, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Self-emp-inc, 266639, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 93853, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 184207, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 238002, 9th, 5, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +28, ?, 30237, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 196545, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, >50K +47, Private, 144844, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 280500, Some-college, 10, Never-married, Tech-support, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +73, ?, 135601, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K +37, Private, 409189, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, Mexico, <=50K +50, Private, 23686, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, >50K +19, Private, 229756, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K +32, Local-gov, 95530, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Local-gov, 73199, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +20, Private, 196745, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +29, Private, 79481, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, ?, 116934, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 100950, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Germany, <=50K +44, Local-gov, 56651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, <=50K +18, Private, 186954, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +22, Private, 264874, Some-college, 10, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +39, State-gov, 183092, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +26, Local-gov, 273399, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, Peru, <=50K +29, ?, 142443, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +21, Private, 177526, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Local-gov, 31267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 321666, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 331861, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, ?, <=50K +25, Private, 283515, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +30, Private, 54608, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 162238, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +30, Private, 175931, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 236804, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 168782, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 227065, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Self-emp-inc, 285335, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +31, Private, 259705, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 24384, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +58, Private, 322013, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 49797, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 52566, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 266275, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +72, Self-emp-not-inc, 285408, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2246, 28, United-States, >50K +26, Self-emp-not-inc, 177858, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1876, 38, United-States, <=50K +45, Federal-gov, 183804, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 107231, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +23, Private, 173679, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Local-gov, 163965, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 173585, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, Peru, <=50K +27, Private, 172009, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 44363, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +45, Private, 246392, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +53, Private, 167033, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +54, Private, 143822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Private, 37869, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +23, Private, 447488, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K +17, Private, 239346, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K +42, Private, 245975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 34632, 12th, 8, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 121362, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 2258, 38, United-States, >50K +21, State-gov, 24008, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +44, Private, 165492, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 326048, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +46, Private, 250821, Prof-school, 15, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 48, United-States, <=50K +37, Self-emp-not-inc, 154641, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 86, United-States, <=50K +35, Private, 198202, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 54, United-States, <=50K +27, Local-gov, 170504, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 191342, Some-college, 10, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 40, India, <=50K +19, Private, 238969, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K +63, Self-emp-not-inc, 344128, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +69, ?, 148694, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +69, ?, 180187, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 6, Italy, <=50K +36, State-gov, 168894, Assoc-voc, 11, Married-spouse-absent, Protective-serv, Own-child, White, Female, 0, 0, 40, Germany, <=50K +20, Private, 203263, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +28, State-gov, 89564, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K +58, Private, 97562, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 38, United-States, <=50K +48, Private, 336540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 139647, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 56, United-States, <=50K +38, Private, 160192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 44, United-States, <=50K +50, Local-gov, 320386, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 32126, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 275445, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +38, Self-emp-inc, 54953, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K +54, Private, 103580, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, >50K +42, Private, 245565, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 12, England, <=50K +32, Private, 39223, 10th, 6, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +55, State-gov, 117357, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 70, ?, >50K +63, Private, 207385, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +21, Private, 355287, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, Mexico, <=50K +62, ?, 141218, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K +46, Local-gov, 207677, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 102114, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 60269, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 278632, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 355551, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 45, Mexico, <=50K +45, Private, 246891, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 72, Canada, >50K +19, Private, 124486, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 1602, 20, United-States, <=50K +61, ?, 202106, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1902, 40, United-States, >50K +61, Private, 191417, 9th, 5, Widowed, Exec-managerial, Not-in-family, Black, Male, 0, 0, 65, United-States, <=50K +21, Private, 184543, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 122206, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 229015, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 130067, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +40, Local-gov, 306495, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +32, Private, 232855, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +55, Local-gov, 171328, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +64, Private, 144182, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K +34, Private, 102858, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 199495, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K +58, Private, 209438, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 74895, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 55, United-States, <=50K +44, Private, 184378, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 446512, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Federal-gov, 113688, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 333305, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, >50K +19, Private, 118535, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K +56, Private, 76142, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +53, Local-gov, 38795, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 208478, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 18, ?, <=50K +69, Private, 203313, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 991, 0, 18, United-States, <=50K +62, Private, 247483, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +62, State-gov, 198686, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 56118, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Federal-gov, 359808, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 231554, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, <=50K +33, Private, 34848, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 199934, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 7298, 0, 40, United-States, >50K +29, Private, 196243, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Self-emp-inc, 66360, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6418, 0, 35, United-States, >50K +18, Private, 189487, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +22, Private, 194848, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 167309, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, >50K +44, Private, 192878, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 70209, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +52, Federal-gov, 123011, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +53, Self-emp-not-inc, 135339, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 20, China, >50K +48, Federal-gov, 497486, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K +25, Private, 178478, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 149909, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +37, Private, 103323, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 239404, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K +67, Private, 165082, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +36, Private, 389725, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 374580, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K +36, ?, 187983, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 259300, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +19, Private, 277695, 9th, 5, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 16, Mexico, <=50K +24, Private, 230248, 7th-8th, 4, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 196342, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K +17, Private, 160968, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 16, United-States, <=50K +28, Private, 115438, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 231043, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3908, 0, 45, United-States, <=50K +35, Private, 129597, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 46, United-States, <=50K +24, Local-gov, 387108, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 105936, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K +20, Private, 107242, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +55, Private, 125000, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K +22, Private, 229456, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +20, Private, 230113, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 106698, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 133454, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 295520, 9th, 5, Widowed, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +26, Private, 151551, Some-college, 10, Separated, Sales, Own-child, Amer-Indian-Eskimo, Male, 2597, 0, 48, United-States, <=50K +58, Private, 100313, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, United-States, >50K +23, Private, 320294, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 162381, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 183898, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 2354, 0, 40, United-States, <=50K +41, Self-emp-inc, 32016, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 62, United-States, <=50K +31, Private, 117028, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 280278, HS-grad, 9, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +57, Private, 342906, 9th, 5, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 55, United-States, >50K +25, Private, 181598, 11th, 7, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 224059, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 148549, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 97355, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +37, Private, 154571, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +43, Self-emp-inc, 140988, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 45, India, <=50K +20, Private, 148409, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 1055, 0, 20, United-States, <=50K +40, Local-gov, 150755, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 75, United-States, >50K +27, Private, 87006, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1579, 40, United-States, <=50K +35, Private, 112158, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 121488, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, State-gov, 283635, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 69758, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +40, Private, 199900, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 55, United-States, >50K +54, Private, 88019, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +28, Private, 31935, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 323055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 189498, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 89041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 112507, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 236940, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 278514, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 42, United-States, <=50K +21, ?, 433330, Some-college, 10, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 258379, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, <=50K +44, Private, 162028, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +20, Private, 197997, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 98350, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 37, China, <=50K +39, Private, 165848, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 178615, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 228939, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +27, Private, 210498, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +53, Private, 154891, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 165937, Assoc-voc, 11, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 138768, Bachelors, 13, Never-married, ?, Own-child, White, Male, 2907, 0, 40, United-States, <=50K +39, Private, 160120, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +30, Private, 382368, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 123011, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Private, 119033, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 496856, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 194049, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +30, Private, 299223, Some-college, 10, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +66, Private, 174788, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +39, Private, 176101, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 38948, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 271933, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 122041, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +43, Private, 115932, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +46, Private, 265105, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 100828, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +60, Private, 121319, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 40, Poland, <=50K +63, Private, 308028, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 5013, 0, 40, United-States, <=50K +42, Private, 213214, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 348618, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +33, Private, 275632, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 239161, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +20, Private, 215495, 9th, 5, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +30, Private, 214063, Some-college, 10, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 72, United-States, <=50K +37, Private, 122493, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, ?, 211699, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 175622, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Private, 153522, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 17, United-States, <=50K +35, Private, 258339, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +27, Private, 119793, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 133503, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K +18, Private, 162840, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Local-gov, 67671, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 188888, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K +45, Private, 140644, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 126154, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 245659, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 38, El-Salvador, <=50K +28, Private, 129624, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +47, Private, 104068, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +30, Private, 337908, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 20, United-States, <=50K +36, Private, 161141, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 162228, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 116391, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 314310, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +61, ?, 394534, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 6, United-States, <=50K +29, Private, 308136, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 194698, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +18, ?, 67793, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 60, United-States, <=50K +29, Local-gov, 302422, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 1564, 56, United-States, >50K +27, Private, 289147, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 229826, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K +22, ?, 154235, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 3781, 0, 35, United-States, <=50K +49, Self-emp-inc, 246739, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +35, Private, 188041, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 187440, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +37, Local-gov, 105266, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 249208, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K +26, Private, 203492, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 71076, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Federal-gov, 146477, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 201699, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K +59, Private, 205949, HS-grad, 9, Separated, Craft-repair, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +70, Private, 90245, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 5, United-States, <=50K +53, Federal-gov, 177647, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, France, >50K +39, Private, 126494, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 257735, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 1161363, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 50, Columbia, <=50K +19, ?, 257343, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 221452, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +74, Private, 260669, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K +40, Private, 192344, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 80479, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 108808, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 175674, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 272950, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Self-emp-not-inc, 160786, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K +46, Self-emp-not-inc, 122206, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 121168, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 209547, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +29, Federal-gov, 244473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +39, Private, 176296, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 60, United-States, <=50K +31, Private, 91666, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K +50, Local-gov, 191025, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 4650, 0, 70, United-States, <=50K +31, State-gov, 63704, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 31659, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 191230, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K +28, Private, 56340, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 221157, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K +57, Local-gov, 143910, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Local-gov, 435836, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, ?, 61499, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 209182, Preschool, 1, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, El-Salvador, <=50K +36, Self-emp-inc, 107218, Some-college, 10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K +51, Private, 55500, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 357962, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +43, Private, 200355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K +38, Private, 320451, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +51, Local-gov, 184542, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 206927, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 54310, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +35, Private, 208165, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +40, Private, 146908, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +39, Private, 318416, 10th, 6, Separated, Other-service, Own-child, Black, Female, 0, 0, 12, United-States, <=50K +47, Self-emp-inc, 207540, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +23, Private, 69911, Preschool, 1, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +26, Private, 305304, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 295289, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 275110, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K +30, Private, 339773, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +57, State-gov, 399246, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 1485, 40, China, <=50K +37, Self-emp-inc, 51264, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 49020, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 48, United-States, >50K +37, Private, 178100, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +45, ?, 215943, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 176178, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K +25, State-gov, 180884, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +61, State-gov, 130466, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +59, Private, 328525, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2414, 0, 15, United-States, <=50K +28, Private, 142712, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 176321, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 145041, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Cuba, >50K +29, Private, 95423, HS-grad, 9, Married-AF-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, <=50K +49, Self-emp-not-inc, 215096, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +41, Local-gov, 177599, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 123920, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +20, ?, 201490, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 46990, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 20, United-States, >50K +32, Private, 388672, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K +48, Private, 149210, Bachelors, 13, Divorced, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K +24, Private, 134787, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 185407, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K +31, State-gov, 86143, HS-grad, 9, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +23, Private, 41721, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +35, Private, 195744, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 96062, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 215150, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +52, Private, 270728, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, Cuba, <=50K +44, Private, 75012, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K +43, Private, 206139, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Private, 50700, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 224258, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, >50K +31, Private, 240441, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K +40, Self-emp-not-inc, 406811, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +28, Local-gov, 34452, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 361341, 12th, 8, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, Thailand, <=50K +35, Private, 78247, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 106900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +40, Self-emp-not-inc, 165108, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, England, <=50K +20, Private, 406641, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +55, Private, 171467, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 48, United-States, >50K +30, Private, 341187, 7th-8th, 4, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +38, Private, 119177, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +75, Private, 104896, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2653, 0, 20, United-States, <=50K +17, Private, 342752, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +79, ?, 76641, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 20051, 0, 40, Poland, >50K +20, Private, 47541, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +25, Private, 233461, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 303954, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 163015, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 75763, Some-college, 10, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +19, Private, 43003, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +42, Private, 328239, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 130856, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K +47, Self-emp-not-inc, 190072, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Iran, >50K +59, Private, 170148, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +50, Private, 104501, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Self-emp-inc, 213140, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K +33, Local-gov, 175509, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 173611, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 148995, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 30, United-States, >50K +24, Private, 64520, 7th-8th, 4, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 139822, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +24, Private, 258700, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, Mexico, <=50K +29, Private, 34796, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 124963, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K +24, Private, 65743, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +28, Private, 161087, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, Jamaica, <=50K +63, ?, 424591, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Federal-gov, 203836, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +58, State-gov, 110199, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 316059, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +42, Private, 255667, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +39, Private, 193689, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 60722, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +39, Private, 187847, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 233275, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +51, Private, 215404, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 15024, 0, 40, United-States, >50K +45, Private, 201865, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 118889, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, State-gov, 368739, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 123833, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K +38, Private, 171344, 11th, 7, Married-spouse-absent, Transport-moving, Own-child, White, Male, 0, 0, 36, Mexico, <=50K +39, Private, 153976, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 374883, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 167658, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 6, United-States, <=50K +31, Private, 348504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 258509, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 24, United-States, <=50K +47, State-gov, 108890, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 1831, 0, 38, United-States, <=50K +28, Private, 188236, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, ?, 355571, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 425049, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Private, 142555, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K +42, Self-emp-not-inc, 29320, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 60, United-States, >50K +52, Federal-gov, 207841, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 187329, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 270973, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 197332, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 46, United-States, >50K +21, ?, 175166, Some-college, 10, Never-married, ?, Own-child, White, Female, 2176, 0, 40, United-States, <=50K +45, Local-gov, 160187, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 197918, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +74, Private, 192290, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K +29, Private, 241895, HS-grad, 9, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 164515, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 147206, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 45, United-States, >50K +23, Self-emp-inc, 306868, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Local-gov, 169837, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +61, ?, 124648, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 185057, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, >50K +23, Private, 240049, Preschool, 1, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K +18, Private, 164441, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K +38, Private, 179314, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 319854, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 4650, 0, 35, United-States, <=50K +19, Self-emp-inc, 148955, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, South, <=50K +23, Private, 32950, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 4101, 0, 40, United-States, <=50K +37, Private, 206699, HS-grad, 9, Divorced, Tech-support, Own-child, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 385646, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 31438, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 43, ?, <=50K +45, Private, 168598, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 3103, 0, 40, United-States, >50K +32, Private, 97306, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +65, ?, 106910, 11th, 7, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K +18, Self-emp-not-inc, 29582, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 220284, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +29, Private, 110226, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, ?, <=50K +53, Private, 240914, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 115496, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +27, Private, 105817, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +24, State-gov, 330836, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 36327, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 33423, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +45, Private, 75673, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +36, Private, 185744, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K +36, Private, 186035, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +44, Local-gov, 196456, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K +24, Private, 111450, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 115289, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 1380, 70, United-States, <=50K +50, Private, 74879, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 117312, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K +58, Private, 272902, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 220230, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 48, United-States, <=50K +24, Private, 90934, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K +52, Self-emp-inc, 234286, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +46, Private, 364548, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +50, Self-emp-inc, 283676, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K +34, Private, 195602, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +40, Private, 70761, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +53, Private, 142717, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 124242, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +58, ?, 53481, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K +26, Private, 287797, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 188274, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 171968, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +78, ?, 74795, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +36, Private, 218490, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Germany, >50K +43, Local-gov, 94937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 28, United-States, <=50K +60, Private, 109511, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Local-gov, 269527, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +50, Self-emp-inc, 201689, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 63, ?, >50K +34, Self-emp-not-inc, 120672, 7th-8th, 4, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 10, United-States, <=50K +46, Private, 130779, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 441542, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +69, Private, 114801, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +32, Private, 180284, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Local-gov, 27444, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +61, Private, 180382, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3411, 0, 45, United-States, <=50K +56, Private, 143266, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 139268, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 126208, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +37, Private, 186191, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K +51, Private, 197163, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2559, 50, United-States, >50K +44, State-gov, 193524, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K +33, Private, 181388, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 124963, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, >50K +24, Private, 188925, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 149230, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 388725, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 113543, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, ?, 187636, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 267763, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K +69, Federal-gov, 143849, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +41, Self-emp-not-inc, 97277, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +40, Private, 199303, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 124852, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 50053, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +53, Private, 97005, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K +90, ?, 175444, 7th-8th, 4, Separated, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +39, Private, 337898, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +51, Federal-gov, 124076, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Federal-gov, 277420, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K +51, Private, 280278, 10th, 6, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +17, Private, 241185, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +42, Private, 202188, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1741, 50, United-States, <=50K +42, Private, 198422, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 82242, Prof-school, 15, Never-married, Prof-specialty, Unmarried, White, Male, 27828, 0, 45, Germany, >50K +33, Private, 178429, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 185866, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, ?, >50K +43, Private, 212847, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +64, Self-emp-not-inc, 219661, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 9, United-States, >50K +40, Private, 321856, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +21, Private, 313873, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +31, Private, 144064, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 139586, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K +32, Private, 419691, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +66, ?, 212759, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 6767, 0, 20, United-States, <=50K +27, Private, 195562, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +40, Private, 205706, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 131310, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K +18, Private, 54440, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +43, Private, 200734, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 81859, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K +31, Private, 159589, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 85, United-States, <=50K +28, Private, 300915, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +44, Private, 185057, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +37, Self-emp-not-inc, 42044, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K +35, Private, 166416, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Private, 212737, 9th, 5, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +18, Private, 236069, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 10, United-States, <=50K +46, Self-emp-inc, 216414, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K +54, Federal-gov, 27432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 145419, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 50, United-States, <=50K +56, Private, 147202, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, Germany, <=50K +27, Private, 29261, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 359543, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +41, Local-gov, 227644, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 90021, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, <=50K +32, Private, 188154, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 110142, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 186415, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 65, United-States, <=50K +37, Private, 175720, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 172865, 5th-6th, 3, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, Mexico, <=50K +46, Private, 35969, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 51, United-States, <=50K +24, Private, 433330, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Self-emp-inc, 160261, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, Taiwan, <=50K +55, Private, 189528, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +64, Local-gov, 113324, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Local-gov, 118500, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 89681, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K +46, Federal-gov, 199925, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 102308, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +18, Private, 444607, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +32, Private, 176998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, ?, 94559, Bachelors, 13, Married-civ-spouse, ?, Wife, Other, Female, 7688, 0, 50, ?, >50K +34, State-gov, 366198, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Germany, >50K +35, Private, 180686, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K +26, Private, 108019, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 3325, 0, 40, United-States, <=50K +24, Private, 153542, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +45, Self-emp-not-inc, 210364, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 80, United-States, >50K +36, Private, 185394, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K +44, Private, 222703, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Nicaragua, <=50K +23, Private, 183945, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +57, Private, 161964, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +41, Self-emp-not-inc, 375574, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Mexico, >50K +20, Local-gov, 312427, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 30, Puerto-Rico, <=50K +32, Private, 53373, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K +60, Private, 166330, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 99999, 0, 40, United-States, >50K +38, Self-emp-inc, 124665, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +29, Private, 146719, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +22, Private, 306593, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 156687, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, India, <=50K +40, Local-gov, 153489, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Male, 3137, 0, 40, United-States, <=50K +59, Private, 231377, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 45, United-States, >50K +45, State-gov, 127089, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +76, Local-gov, 329355, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 13, United-States, <=50K +45, Private, 178319, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Local-gov, 304246, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 70, United-States, <=50K +36, Local-gov, 174640, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 60, United-States, >50K +22, Private, 148294, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +47, Private, 298037, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +26, Private, 98155, HS-grad, 9, Married-AF-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +21, Private, 102766, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 78529, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 15, United-States, <=50K +26, Private, 136309, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 275357, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 25, United-States, <=50K +31, Self-emp-not-inc, 33117, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, England, <=50K +57, Local-gov, 199546, Masters, 14, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +39, Private, 184128, 11th, 7, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 337039, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, Black, Male, 14344, 0, 40, England, >50K +66, Private, 126511, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +34, Local-gov, 325792, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +80, ?, 91901, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +21, Private, 119474, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 153238, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 32, United-States, >50K +49, Local-gov, 321851, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +48, Self-emp-not-inc, 108557, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 3325, 0, 60, United-States, <=50K +19, State-gov, 67217, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 594, 0, 24, United-States, <=50K +42, Private, 195508, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +59, Private, 102193, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +63, Private, 20323, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 122206, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 200652, 9th, 5, Divorced, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +42, Private, 173590, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1628, 40, United-States, <=50K +19, Private, 184121, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +45, Local-gov, 53123, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K +47, Private, 175990, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, >50K +47, Private, 316101, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 34080, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, <=50K +49, Self-emp-not-inc, 219718, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +36, Private, 126954, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 99185, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K +21, ?, 40052, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 2001, 45, United-States, <=50K +39, Private, 120074, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 77336, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 60981, Some-college, 10, Never-married, Sales, Own-child, White, Female, 2176, 0, 35, United-States, <=50K +59, Private, 77884, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +50, Private, 65408, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 173279, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +52, ?, 318351, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 157686, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 277434, Assoc-acdm, 12, Widowed, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, >50K +54, Local-gov, 184620, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 34443, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +50, Private, 268553, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K +20, ?, 41356, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +43, Private, 459342, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Local-gov, 148549, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 254293, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 45, United-States, <=50K +54, Private, 104501, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +26, Private, 238367, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 180439, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Self-emp-inc, 100029, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +54, Private, 215990, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 44, United-States, >50K +32, State-gov, 111567, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, >50K +46, Private, 319163, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +60, ?, 160155, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K +52, Local-gov, 378045, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +44, Private, 177083, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 119891, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 40, United-States, <=50K +57, Private, 127779, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 299353, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 63861, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 112403, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +49, Private, 83610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 66, United-States, >50K +28, Private, 452808, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 176871, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +45, Private, 100651, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K +17, Private, 266134, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +54, Local-gov, 196307, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 87891, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 182314, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +55, ?, 136819, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 181666, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, ?, <=50K +37, Private, 179671, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 27494, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, >50K +38, Private, 338320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Canada, <=50K +51, Private, 199688, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 96635, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K +24, Private, 165064, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 109856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +33, Private, 82393, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +31, Private, 209538, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 209891, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +32, Self-emp-not-inc, 56026, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 210844, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +43, Private, 117158, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +40, Private, 193144, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +19, Self-emp-not-inc, 137578, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 53, United-States, <=50K +23, Private, 234108, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, United-States, <=50K +40, Private, 155767, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 110820, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, >50K +43, Private, 403276, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 147269, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, ?, <=50K +53, Private, 123092, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 165673, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +68, Self-emp-inc, 182131, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 20, United-States, >50K +41, Private, 204415, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K +32, Self-emp-not-inc, 92531, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +25, State-gov, 157028, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 228649, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 147253, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +33, Private, 160784, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Local-gov, 163189, Some-college, 10, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 146343, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +20, Private, 225811, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 23, United-States, <=50K +68, State-gov, 202699, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 42, ?, >50K +58, Private, 374108, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 93930, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 412248, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +30, Private, 427474, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +67, State-gov, 160158, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 8, United-States, <=50K +26, Private, 159603, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +53, Self-emp-not-inc, 101017, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +27, Local-gov, 163862, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, Without-pay, 212588, Some-college, 10, Married-civ-spouse, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K +38, State-gov, 321943, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 317702, 9th, 5, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 287480, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 135607, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +28, Private, 168514, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 88642, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +28, Private, 227104, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +34, Private, 157289, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 213321, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 294907, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 251411, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 183594, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 189565, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 50, United-States, <=50K +55, Private, 217802, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 25, United-States, <=50K +20, Private, 388156, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 24, United-States, <=50K +54, Private, 447555, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 204098, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +43, Private, 193882, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +17, ?, 89870, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, State-gov, 49595, Masters, 14, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K +34, Private, 228873, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +66, ?, 108185, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 176027, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, ?, 405374, Some-college, 10, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +37, Private, 39606, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 178353, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Private, 160662, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Self-emp-inc, 196328, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K +45, Private, 20534, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K +29, Self-emp-inc, 156815, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 360252, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 245056, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +33, Local-gov, 422718, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 118081, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 3103, 0, 42, United-States, <=50K +25, Private, 262978, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +25, Private, 187577, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +69, ?, 259323, Prof-school, 15, Divorced, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K +37, Private, 160920, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 194247, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +39, Private, 134367, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 24, United-States, >50K +17, Private, 123335, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +27, Local-gov, 332249, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 358124, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +55, Private, 208019, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +39, Private, 318452, 11th, 7, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +41, Private, 207779, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 238376, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +51, Private, 673764, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +67, State-gov, 239705, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 12, ?, <=50K +40, Private, 133974, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 138285, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +23, Private, 152140, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Local-gov, 287920, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +51, Private, 289572, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +43, State-gov, 78765, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +25, State-gov, 99076, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 2597, 0, 50, United-States, <=50K +36, Self-emp-not-inc, 224886, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2407, 0, 40, United-States, <=50K +58, Private, 206532, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 129529, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Local-gov, 202473, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 162312, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +45, Private, 72844, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K +49, Private, 206947, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 64112, 12th, 8, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, State-gov, 20057, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 38, Philippines, <=50K +42, State-gov, 222884, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 132683, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +73, ?, 177773, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K +59, Self-emp-not-inc, 144071, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 2580, 0, 15, El-Salvador, <=50K +28, Private, 148429, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2885, 0, 40, United-States, <=50K +19, Private, 168601, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +31, State-gov, 78291, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Federal-gov, 243929, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +21, Private, 215039, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 13, ?, <=50K +47, Self-emp-not-inc, 185673, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +30, Private, 121142, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +41, Private, 173858, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +59, ?, 87247, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, England, <=50K +43, Private, 334991, Some-college, 10, Separated, Transport-moving, Unmarried, White, Male, 4934, 0, 51, United-States, >50K +48, Private, 93476, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 2001, 40, United-States, <=50K +44, Private, 174283, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Private, 128676, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +24, Private, 205844, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 62535, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K +50, Private, 240612, HS-grad, 9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +33, Private, 176992, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Local-gov, 254127, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 50, United-States, <=50K +30, ?, 138744, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 128460, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, State-gov, 56582, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 10, United-States, <=50K +52, Private, 153751, 9th, 5, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +26, Private, 284343, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +27, State-gov, 312692, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K +28, Private, 111520, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Nicaragua, <=50K +50, Self-emp-inc, 304955, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +28, Private, 288598, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +61, Self-emp-not-inc, 117387, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +32, Private, 230484, 7th-8th, 4, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +30, Federal-gov, 319280, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 186416, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Local-gov, 147372, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 2444, 40, United-States, >50K +36, Private, 145933, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2258, 70, United-States, <=50K +28, Private, 110164, Some-college, 10, Divorced, Other-service, Other-relative, Black, Male, 0, 0, 24, United-States, <=50K +49, Private, 225454, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +61, Self-emp-not-inc, 220342, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +41, Self-emp-not-inc, 144002, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +55, Private, 225365, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 187983, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 89991, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 225913, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +49, Self-emp-inc, 229737, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 37, United-States, >50K +59, Private, 145574, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 274363, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, >50K +59, Private, 365390, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 266467, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +42, Private, 183384, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +41, Local-gov, 112797, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +45, Federal-gov, 76008, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Private, 156780, HS-grad, 9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K +42, Local-gov, 186909, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K +25, Private, 25497, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 102771, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K +58, Self-emp-not-inc, 248841, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +39, Private, 30916, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 123270, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Self-emp-not-inc, 210165, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 222596, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +53, Self-emp-inc, 188067, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 119592, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 2824, 40, ?, >50K +27, Private, 250314, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +60, Private, 205934, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +46, Private, 186172, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K +56, Self-emp-inc, 98418, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K +36, Private, 329980, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K +56, Private, 147653, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +35, ?, 195946, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +29, Self-emp-inc, 168221, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 70, United-States, <=50K +19, Private, 151801, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 39, United-States, <=50K +38, Private, 177154, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Federal-gov, 73883, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 175714, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +22, Private, 43535, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +32, State-gov, 104509, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +27, Private, 118230, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 152046, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K +36, Private, 52327, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, Iran, >50K +22, Private, 218886, 12th, 8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 84119, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 189674, Bachelors, 13, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +22, Private, 222993, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 54, United-States, <=50K +29, Private, 47429, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +42, Private, 144995, Preschool, 1, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +45, Private, 187969, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +33, Private, 288398, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +39, Private, 114591, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 167737, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +53, Local-gov, 248834, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +30, Private, 165686, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, Self-emp-not-inc, 40200, Some-college, 10, Widowed, Craft-repair, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +43, Self-emp-inc, 117158, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K +47, Local-gov, 216657, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, >50K +61, Private, 124242, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, India, <=50K +39, Local-gov, 239119, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, Dominican-Republic, <=50K +47, Private, 190072, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 378114, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K +37, Private, 236990, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, United-States, <=50K +31, Private, 101761, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 51, United-States, <=50K +69, Self-emp-not-inc, 37745, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K +22, ?, 424494, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +29, Private, 130438, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 100605, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Other, Male, 0, 0, 14, United-States, <=50K +42, Private, 220776, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Poland, <=50K +30, Local-gov, 154950, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K +28, Private, 192283, Masters, 14, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 80, United-States, >50K +27, Private, 210765, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 147476, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +35, State-gov, 193241, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1651, 40, United-States, <=50K +22, Private, 109053, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 265618, HS-grad, 9, Separated, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 172855, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1887, 40, United-States, >50K +27, Private, 68848, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 229051, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 37, United-States, <=50K +27, Private, 106039, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K +25, Private, 112835, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, ?, 205396, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +32, Private, 283400, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +70, Private, 195739, 10th, 6, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +50, Private, 36480, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 303291, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K +34, Private, 293900, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K +57, Self-emp-not-inc, 165922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 65738, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +49, Private, 175070, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 339814, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K +26, Private, 150132, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +31, Private, 377374, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Japan, <=50K +60, Self-emp-not-inc, 166153, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 110171, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +26, Private, 94477, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 55, United-States, >50K +27, Private, 194243, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 106347, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +59, Private, 214865, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +19, ?, 185619, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +18, Private, 96445, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +22, Private, 102632, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +24, Private, 209034, Assoc-acdm, 12, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +53, State-gov, 153486, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 144371, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 42, United-States, >50K +24, Private, 186213, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +60, Private, 188236, 10th, 6, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 418405, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Federal-gov, 125796, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 183304, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, >50K +34, Private, 329587, 10th, 6, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +35, Local-gov, 182570, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 446654, 9th, 5, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +34, Self-emp-not-inc, 254304, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4508, 0, 90, United-States, <=50K +53, Local-gov, 131258, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +23, Private, 103632, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 241895, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 244945, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 20795, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +17, Private, 347322, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +53, Local-gov, 103995, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 54, United-States, <=50K +32, Private, 53206, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +43, ?, 387839, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 57108, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 16, United-States, <=50K +62, Private, 177791, 10th, 6, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 33794, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 249935, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K +73, Self-emp-not-inc, 241121, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 98586, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +26, Private, 181920, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +23, Private, 434467, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +30, Private, 113364, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Vietnam, <=50K +51, Private, 249706, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 95455, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +39, Private, 209867, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 13550, 0, 45, United-States, >50K +35, Self-emp-inc, 79586, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +41, Private, 289669, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 347166, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 4650, 0, 40, United-States, <=50K +40, Private, 53835, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +46, Local-gov, 14878, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +31, Private, 266126, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +41, Self-emp-inc, 146659, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Honduras, <=50K +42, Private, 125280, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 40, United-States, <=50K +23, Private, 173535, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, ?, 77665, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K +49, Private, 280525, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +53, Private, 479621, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 194630, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 4787, 0, 43, United-States, >50K +36, Private, 247600, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, <=50K +32, Private, 258406, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 72, Mexico, <=50K +20, Private, 107746, 11th, 7, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K +17, ?, 47407, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K +22, Private, 229987, Some-college, 10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Female, 0, 0, 32, United-States, <=50K +25, Private, 312338, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +58, Private, 225394, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, <=50K +24, Private, 373718, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +48, State-gov, 120131, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 8614, 0, 40, United-States, >50K +20, Private, 472789, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, El-Salvador, <=50K +60, Self-emp-not-inc, 27886, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 138352, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +52, Private, 123011, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +36, Private, 306567, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, >50K +46, Local-gov, 187749, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +22, Private, 260594, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +19, Private, 236879, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K +37, Private, 186808, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 373213, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +44, Private, 187629, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +63, ?, 106648, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +22, Private, 305781, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, Canada, <=50K +31, Self-emp-inc, 256362, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 50, United-States, <=50K +17, Private, 239947, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 349041, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 105252, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 182715, 7th-8th, 4, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 166210, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 113200, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 6, United-States, <=50K +27, Private, 142075, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K +35, Private, 454843, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 142219, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 112512, 12th, 8, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +43, Private, 212894, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +62, State-gov, 265201, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 251905, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2339, 40, Canada, <=50K +18, Private, 170627, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +59, Private, 354037, Prof-school, 15, Married-civ-spouse, Transport-moving, Husband, Black, Male, 15024, 0, 50, United-States, >50K +37, Private, 259089, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 21856, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 207946, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +29, Private, 77009, 11th, 7, Separated, Sales, Not-in-family, White, Female, 0, 2754, 42, United-States, <=50K +33, Private, 36539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +62, Private, 176811, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 456062, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 55, United-States, >50K +28, Private, 277746, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 288132, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +46, Federal-gov, 344415, Masters, 14, Married-civ-spouse, Armed-Forces, Husband, White, Male, 0, 1887, 40, United-States, >50K +54, Self-emp-inc, 206964, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K +34, Private, 198091, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, <=50K +67, ?, 150264, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, Canada, >50K +62, Private, 588484, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K +30, Private, 113364, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Poland, <=50K +19, Private, 270551, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +49, ?, 31478, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 99, United-States, <=50K +27, Private, 190525, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +36, Private, 153066, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 150393, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 99911, 12th, 8, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +57, Local-gov, 343447, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +64, Private, 169482, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +56, ?, 32855, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 194501, 11th, 7, Widowed, Other-service, Own-child, White, Female, 0, 0, 47, United-States, <=50K +53, Private, 177705, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K +31, Private, 123983, Some-college, 10, Separated, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +41, Private, 138975, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K +45, Local-gov, 235431, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +63, ?, 83043, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2179, 45, United-States, <=50K +45, State-gov, 130206, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 210053, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +39, Local-gov, 249392, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, United-States, <=50K +31, Private, 87418, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 190387, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +54, Private, 176240, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 60, United-States, >50K +22, ?, 211013, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +40, Local-gov, 105862, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 185195, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 173495, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-inc, 78634, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 147284, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 99, United-States, >50K +46, Self-emp-not-inc, 82572, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 154641, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Local-gov, 39236, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 594, 0, 25, United-States, <=50K +17, ?, 64785, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +48, Self-emp-not-inc, 179337, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, England, <=50K +73, Private, 173047, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K +25, Private, 264012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +53, Federal-gov, 227836, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 321327, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 45, United-States, >50K +45, Self-emp-inc, 108100, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 99999, 0, 25, ?, >50K +37, Private, 146398, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 324120, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 367329, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, State-gov, 301582, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +75, ?, 222789, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K +58, Private, 170108, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Self-emp-not-inc, 82297, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 50, United-States, <=50K +62, Local-gov, 180162, 9th, 5, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 24, United-States, <=50K +45, Local-gov, 348172, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, United-States, >50K +38, Private, 809585, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Self-emp-not-inc, 67728, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +70, ?, 163057, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2009, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 102069, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +47, Local-gov, 149700, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K +42, Self-emp-not-inc, 109273, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 393354, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 38, United-States, >50K +37, Private, 226947, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +36, State-gov, 86805, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 39, United-States, >50K +27, Private, 493689, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, France, <=50K +54, Private, 299324, 5th-6th, 3, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K +48, Self-emp-not-inc, 353012, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +29, Private, 174419, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +29, Private, 209472, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K +37, Private, 295127, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K +55, Self-emp-inc, 182273, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Private, 228200, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 20, United-States, <=50K +51, Private, 263836, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 178948, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +41, Private, 43945, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +64, Self-emp-not-inc, 253296, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 240137, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K +49, Private, 24712, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K +38, Self-emp-not-inc, 342635, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K +62, Private, 115387, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 182998, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K +70, ?, 133248, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 14, United-States, <=50K +45, Self-emp-not-inc, 246891, Masters, 14, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 30035, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 175232, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +50, Self-emp-inc, 140516, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 64980, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 55, United-States, >50K +30, Private, 155781, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +52, Federal-gov, 192065, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 227890, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K +62, Self-emp-not-inc, 162249, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +31, Private, 165949, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 445382, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Private, 211948, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K +53, Private, 163678, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 89413, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 289700, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K +51, Private, 163826, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 185385, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +43, Private, 169031, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 54611, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 130620, 11th, 7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K +26, Private, 328663, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, United-States, <=50K +50, Private, 169646, Bachelors, 13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +35, Private, 186815, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 103925, Some-college, 10, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +53, ?, 150393, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 1504, 35, United-States, <=50K +20, Private, 82777, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 16, United-States, <=50K +31, Local-gov, 178449, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 51672, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +46, Private, 380162, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K +21, Private, 212114, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 8, United-States, <=50K +41, Self-emp-not-inc, 100800, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 70, United-States, >50K +30, Private, 162572, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +66, Self-emp-inc, 179951, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +37, Self-emp-inc, 190759, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +74, State-gov, 236012, 7th-8th, 4, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +46, State-gov, 164023, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 70, United-States, >50K +51, Private, 172046, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +33, Private, 182926, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +30, Private, 151001, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, Mexico, <=50K +47, Self-emp-inc, 362835, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Private, 97883, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 91911, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K +24, Private, 278130, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 146310, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 379412, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 37987, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Self-emp-inc, 256909, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K +37, State-gov, 482927, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +48, State-gov, 44434, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 61, United-States, >50K +25, Private, 255474, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, ?, 303674, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 3103, 0, 20, United-States, <=50K +44, ?, 195488, 12th, 8, Separated, ?, Not-in-family, White, Female, 0, 0, 36, Puerto-Rico, <=50K +58, ?, 114362, Some-college, 10, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K +27, Private, 341504, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +69, Private, 197080, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Male, 0, 0, 8, United-States, <=50K +38, Private, 102945, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K +47, Private, 503454, 12th, 8, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 87561, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +46, Private, 270693, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 3674, 0, 30, United-States, <=50K +27, Private, 252813, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +19, Private, 574271, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +18, Private, 184016, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Not-in-family, White, Female, 3103, 0, 40, United-States, <=50K +24, Private, 235071, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +32, Private, 158242, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 299810, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 277695, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Hong, <=50K +28, Private, 23324, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 316582, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +38, Self-emp-not-inc, 176657, Some-college, 10, Separated, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K +42, Private, 93770, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K +31, Private, 124569, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +46, Private, 117313, 9th, 5, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K +53, Private, 53812, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 54, United-States, <=50K +21, Private, 170456, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +48, Self-emp-not-inc, 115971, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 31432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3103, 0, 52, United-States, >50K +30, Private, 112383, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +24, Private, 283092, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, Jamaica, <=50K +32, Private, 27207, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 46712, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, State-gov, 19520, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +56, Private, 98630, 7th-8th, 4, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 159897, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K +38, Private, 136629, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Iran, <=50K +19, Private, 407759, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 221884, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Private, 148475, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 274964, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K +50, Self-emp-inc, 160107, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +43, Private, 167265, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, >50K +34, Private, 148226, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K +28, Private, 153869, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 208881, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 256953, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 44, United-States, <=50K +26, Private, 100147, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K +51, Local-gov, 166461, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K +35, Private, 171327, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 297335, Assoc-acdm, 12, Married-spouse-absent, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 31, Laos, <=50K +63, ?, 133166, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K +31, Private, 169589, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +22, Local-gov, 273734, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +67, Private, 158301, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +50, ?, 257117, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +63, Private, 196725, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +31, Private, 137444, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 286960, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 201435, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +53, Local-gov, 216931, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K +44, Local-gov, 212665, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 99, United-States, <=50K +24, Private, 462820, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 198841, Assoc-voc, 11, Divorced, Tech-support, Own-child, White, Male, 0, 0, 35, United-States, <=50K +61, Private, 219886, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +31, Private, 163003, Assoc-acdm, 12, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +44, Private, 112262, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 5178, 0, 40, United-States, >50K +56, Private, 213105, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, >50K +66, Private, 302072, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 338105, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +69, Self-emp-not-inc, 58213, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 45, United-States, >50K +64, Private, 125684, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 215419, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 36, United-States, >50K +43, Local-gov, 413760, Some-college, 10, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +37, Private, 205339, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K +19, Private, 236570, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K +59, Self-emp-not-inc, 247552, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Federal-gov, 184007, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 341187, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +56, Private, 220187, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 198258, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 175821, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 34, United-States, <=50K +42, Private, 92288, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +34, Private, 261418, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 203319, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +68, Self-emp-not-inc, 166083, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 109001, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +81, ?, 106765, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 4, United-States, <=50K +22, Self-emp-not-inc, 197387, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 284834, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 87535, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +17, Local-gov, 175587, 11th, 7, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K +25, Private, 242700, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K +23, Private, 161478, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 23, United-States, <=50K +25, Private, 51498, 12th, 8, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 220124, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 188503, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, >50K +44, Private, 113324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 208872, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Self-emp-not-inc, 34180, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +23, Private, 292023, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K +34, Private, 141118, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 348592, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +38, Private, 185203, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +52, Self-emp-not-inc, 165278, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 116933, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K +38, Private, 237608, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 2444, 45, United-States, >50K +35, Private, 84787, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, Self-emp-not-inc, 217892, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 10605, 0, 35, United-States, >50K +60, Private, 325971, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 40, United-States, >50K +44, Private, 206878, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 15, United-States, <=50K +38, Self-emp-not-inc, 127772, HS-grad, 9, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 208577, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Private, 344152, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5556, 0, 50, United-States, >50K +33, Private, 40681, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, ?, 95108, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 280603, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +43, Private, 188436, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 134220, Assoc-voc, 11, Divorced, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +42, Private, 177989, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 164190, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K +36, Private, 90897, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, State-gov, 33126, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 270886, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 216129, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +33, Private, 189368, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K +19, ?, 141418, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K +19, Private, 306225, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +35, Private, 330664, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 191765, HS-grad, 9, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +45, Private, 289353, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 24, United-States, <=50K +25, Private, 53147, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 50, United-States, <=50K +39, Self-emp-not-inc, 122353, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 188767, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 239576, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 10, United-States, <=50K +52, Local-gov, 155141, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +22, Private, 64520, 12th, 8, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 30, United-States, <=50K +23, Private, 478994, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 155654, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 124052, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K +39, Private, 245053, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Private, 183585, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 323639, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K +55, Federal-gov, 186791, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 284303, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 40, United-States, >50K +23, Private, 186666, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 200153, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 180931, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 30, United-States, <=50K +51, Self-emp-not-inc, 183173, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Self-emp-inc, 120131, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Cuba, >50K +25, Self-emp-not-inc, 263300, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 226443, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +18, Private, 404868, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 1602, 20, United-States, <=50K +19, Private, 208506, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 28, United-States, <=50K +32, Private, 46746, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 246183, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +40, ?, 165309, 7th-8th, 4, Separated, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +43, Private, 122749, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +71, Self-emp-inc, 38822, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K +59, Private, 167963, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 273241, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +25, Private, 120238, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 167990, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Ireland, <=50K +17, Private, 225507, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K +57, Self-emp-inc, 125000, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +17, Self-emp-not-inc, 174120, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +27, Private, 230959, Bachelors, 13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +41, Local-gov, 132125, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, ?, 68461, Doctorate, 16, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K +19, Private, 227178, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +41, Private, 165798, 5th-6th, 3, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K +39, Private, 129573, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +30, Private, 224377, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 179481, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 434268, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +40, Self-emp-not-inc, 173716, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +38, Self-emp-inc, 244803, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1485, 60, Cuba, >50K +24, Private, 114230, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 188661, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 216093, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 124963, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 85341, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 193490, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +34, Private, 80058, Prof-school, 15, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 139907, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +51, Self-emp-inc, 54342, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K +25, Private, 188767, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 117222, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K +61, Self-emp-inc, 171831, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2829, 0, 45, United-States, <=50K +35, Private, 187119, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +42, Local-gov, 97277, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Local-gov, 219760, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 16, United-States, <=50K +46, Private, 63299, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, State-gov, 171482, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +18, ?, 344742, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 210869, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 80, United-States, <=50K +39, Private, 38312, Some-college, 10, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K +47, Private, 119939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 83953, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +43, State-gov, 101383, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 204374, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 176831, 10th, 6, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +19, ?, 60688, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K +44, Federal-gov, 251305, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Local-gov, 200947, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Self-emp-not-inc, 46704, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +43, Private, 119721, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, State-gov, 58930, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 247750, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +48, Private, 67725, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +28, State-gov, 200775, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 183542, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +20, ?, 25139, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 123325, Prof-school, 15, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 269786, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 51089, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 136985, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K +21, Private, 129350, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, ?, 35595, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +36, Local-gov, 61299, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, ?, 192321, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 80, United-States, <=50K +31, Private, 257644, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +44, Self-emp-not-inc, 70884, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +49, Local-gov, 159726, 11th, 7, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 174395, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Federal-gov, 175534, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, >50K +54, Local-gov, 173050, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +27, Private, 32519, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 55, South, <=50K +18, Private, 322999, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +68, Private, 148874, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 44, United-States, <=50K +64, Private, 43738, Doctorate, 16, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, >50K +36, Private, 195385, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +21, Private, 149809, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K +22, Private, 51985, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K +61, Private, 105384, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 137591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 10, Greece, <=50K +49, State-gov, 324791, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 184303, Some-college, 10, Separated, Priv-house-serv, Other-relative, White, Female, 0, 0, 30, El-Salvador, <=50K +66, ?, 314347, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 274010, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 321031, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +57, Federal-gov, 313929, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +41, Private, 394669, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1741, 40, United-States, <=50K +29, Private, 152951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 247115, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +47, Private, 175958, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +22, Private, 109039, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +59, Self-emp-inc, 141326, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +42, State-gov, 74334, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K +64, Self-emp-not-inc, 47462, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +29, Federal-gov, 182344, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +25, State-gov, 295912, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +62, Private, 311495, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 236746, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K +21, Private, 187643, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 282923, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +46, Private, 501671, 10th, 6, Divorced, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +44, Federal-gov, 29591, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 2258, 40, United-States, >50K +21, Private, 301556, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K +18, Private, 187240, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 18, United-States, <=50K +39, Private, 219483, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5013, 0, 32, United-States, <=50K +33, Private, 594187, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +63, Private, 200474, 1st-4th, 2, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 152795, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K +17, Private, 230789, 9th, 5, Never-married, Sales, Own-child, Black, Male, 0, 0, 22, United-States, <=50K +45, Self-emp-inc, 311231, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 50, United-States, >50K +31, Private, 114691, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 194591, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 114691, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +51, State-gov, 42017, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Local-gov, 383384, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 29444, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +42, Federal-gov, 53727, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, ?, <=50K +38, Private, 277022, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K +43, Local-gov, 113324, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 342709, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 179203, 12th, 8, Never-married, Sales, Other-relative, White, Male, 0, 0, 55, United-States, <=50K +46, Private, 251474, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +50, Private, 93730, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 37894, HS-grad, 9, Separated, Other-service, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +18, State-gov, 272918, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 15, United-States, <=50K +53, Private, 151411, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +40, Private, 210648, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K +36, Self-emp-not-inc, 347491, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +32, Private, 255885, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K +39, Private, 356838, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 12, United-States, <=50K +46, Private, 216164, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Local-gov, 288781, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +19, Private, 439779, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +24, Private, 161638, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Ecuador, <=50K +28, Private, 190525, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 276249, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 147265, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 245090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K +42, State-gov, 219682, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +28, Private, 392100, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 358682, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 50, ?, <=50K +47, Private, 262244, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 60, United-States, >50K +46, Private, 171228, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3411, 0, 35, Guatemala, <=50K +21, Local-gov, 218445, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +19, ?, 182609, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +35, Private, 509462, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +26, Private, 213258, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 118401, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +67, Self-emp-not-inc, 45814, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 329733, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K +26, Private, 29957, Masters, 14, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +51, Private, 215854, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +27, Private, 327766, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 405765, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K +39, Private, 80680, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 177792, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, >50K +52, Private, 273514, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 202373, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Local-gov, 332785, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 38, United-States, <=50K +46, Private, 149640, 7th-8th, 4, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +42, Private, 40151, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +79, Self-emp-inc, 183686, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K +50, Federal-gov, 32801, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K +19, ?, 195282, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +43, Federal-gov, 134026, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 2174, 0, 40, United-States, <=50K +51, Local-gov, 96678, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 174533, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K +65, Private, 180807, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 991, 0, 20, United-States, <=50K +66, Private, 186324, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 5, United-States, >50K +36, Self-emp-not-inc, 257250, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K +26, Private, 212800, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K +28, Private, 55360, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K +39, Self-emp-not-inc, 195253, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +43, Private, 45156, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +20, Private, 435469, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +29, Private, 231287, Some-college, 10, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 168854, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 50, United-States, >50K +44, Self-emp-not-inc, 185057, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K +18, ?, 91670, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +60, Private, 165517, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 73161, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Private, 178792, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 32897, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 250967, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 41901, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K +49, Private, 379779, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Private, 217838, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +37, Self-emp-not-inc, 137527, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2559, 60, United-States, >50K +43, Private, 198965, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K +41, Private, 70645, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 4650, 0, 55, United-States, <=50K +37, Private, 220644, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +19, Private, 175081, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K +29, Private, 180299, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +40, Self-emp-not-inc, 548664, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K +53, Private, 278114, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 394927, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +44, Self-emp-not-inc, 127482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, England, >50K +29, Private, 236938, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +25, Private, 232991, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +38, Private, 34378, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +48, Self-emp-inc, 81513, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +18, Private, 106780, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K +50, Private, 178596, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 1408, 50, United-States, <=50K +37, Private, 329026, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +48, Private, 26490, Bachelors, 13, Widowed, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +50, Private, 338033, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +74, ?, 169303, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 6767, 0, 6, United-States, <=50K +24, Private, 21154, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +34, Private, 209449, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K +19, Private, 389143, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 101260, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 198270, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 45781, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 134566, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 283806, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +68, ?, 286869, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 1668, 40, ?, <=50K +46, Private, 422813, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Local-gov, 103277, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K +18, Private, 201871, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +50, Self-emp-not-inc, 167728, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +42, Private, 211517, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 118212, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 259846, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3471, 0, 40, United-States, <=50K +57, Private, 98926, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +27, Private, 207352, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +31, Private, 206609, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 104509, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 170350, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 183884, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 110964, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1672, 38, United-States, <=50K +35, State-gov, 154410, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +63, ?, 257659, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K +28, Private, 274679, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 252662, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-inc, 356689, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K +18, Private, 205218, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +35, Private, 241306, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 139127, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 175625, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 206459, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 176123, 10th, 6, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K +41, Private, 111483, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 106118, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K +18, Private, 77845, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 1602, 15, United-States, <=50K +19, Private, 162094, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 216469, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1579, 50, United-States, <=50K +56, Local-gov, 381965, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +28, Private, 145284, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +29, Private, 242482, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +35, Self-emp-not-inc, 160192, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, ?, 280699, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 175942, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 55, ?, >50K +18, Private, 156950, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K +53, Private, 215572, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 173593, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, Canada, <=50K +55, Private, 193374, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Local-gov, 334039, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 337664, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 113504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 177072, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 174503, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 214807, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +41, Private, 222596, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K +23, Private, 100345, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +22, Private, 409230, 12th, 8, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 112497, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 40, United-States, >50K +65, Self-emp-inc, 115922, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +59, ?, 375049, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 41, United-States, >50K +25, Private, 243560, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, Columbia, <=50K +33, Local-gov, 182971, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K +31, Private, 127215, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, State-gov, 276241, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +49, State-gov, 175109, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +43, Private, 498079, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Federal-gov, 344394, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 99872, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, India, >50K +23, Private, 245302, Some-college, 10, Divorced, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +63, Private, 43313, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 188467, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-inc, 351278, Bachelors, 13, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 182246, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 79870, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Female, 2597, 0, 40, Japan, <=50K +48, ?, 353824, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, >50K +31, Private, 387116, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 36, Jamaica, <=50K +47, Private, 34248, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +54, State-gov, 198741, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 32950, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 381153, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 100067, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, >50K +34, Private, 208785, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +31, Private, 61559, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 176452, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Peru, <=50K +41, ?, 128700, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 328518, Assoc-voc, 11, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +30, ?, 201196, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 378546, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Local-gov, 212210, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, ?, <=50K +59, Federal-gov, 178660, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 235826, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 22641, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +59, Private, 316027, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, Cuba, <=50K +47, Private, 431515, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Self-emp-not-inc, 149770, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +42, Private, 165916, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +29, Federal-gov, 107411, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 217961, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 45, Outlying-US(Guam-USVI-etc), <=50K +43, Self-emp-not-inc, 350387, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +46, Private, 325372, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 156718, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 216472, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K +29, State-gov, 106972, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +33, Private, 131934, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +33, Local-gov, 365908, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 2105, 0, 40, United-States, <=50K +46, Local-gov, 359193, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +35, Private, 261012, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 272944, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +25, Private, 113654, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +35, Private, 218955, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 115963, 7th-8th, 4, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 42, United-States, <=50K +39, Private, 80638, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 84, United-States, >50K +37, Private, 147258, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +22, Private, 214635, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +25, Private, 200318, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +50, Private, 138270, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K +64, Federal-gov, 388594, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, ?, >50K +33, Private, 103435, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +59, Self-emp-inc, 133201, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Italy, <=50K +24, Private, 175183, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 99870, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +38, ?, 107479, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K +60, Private, 113440, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 85690, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 30, United-States, <=50K +23, Private, 45713, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +57, Self-emp-inc, 376230, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K +36, Private, 145576, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1977, 40, Japan, >50K +17, ?, 67808, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 113936, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 158291, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 193898, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +43, Private, 191982, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 55, United-States, <=50K +21, ?, 72953, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 271160, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 33087, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +29, Private, 106153, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 29444, 12th, 8, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K +37, Private, 105021, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Self-emp-not-inc, 239045, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +34, Private, 94413, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 20534, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 84, United-States, >50K +28, Private, 350254, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +68, Private, 194746, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K +36, Private, 269042, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K +20, Private, 447488, 9th, 5, Never-married, Other-service, Unmarried, White, Male, 0, 0, 30, Mexico, <=50K +24, Private, 267706, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 45, United-States, <=50K +38, Private, 198216, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 227931, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 252646, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K +47, Private, 223342, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 2174, 0, 40, England, <=50K +28, Private, 181776, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +32, Private, 132601, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Private, 205410, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Self-emp-inc, 185912, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K +38, Private, 292570, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 50, United-States, <=50K +43, Private, 76460, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 295163, 12th, 8, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 27255, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, ?, <=50K +23, Private, 69847, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K +25, Private, 104993, 9th, 5, Never-married, Handlers-cleaners, Own-child, Black, Male, 2907, 0, 40, United-States, <=50K +41, Private, 322980, HS-grad, 9, Separated, Adm-clerical, Not-in-family, Black, Male, 2354, 0, 40, United-States, <=50K +24, ?, 390608, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +41, Private, 317539, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 195678, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 466502, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Male, 0, 0, 30, United-States, <=50K +28, Local-gov, 220754, HS-grad, 9, Separated, Transport-moving, Own-child, White, Female, 0, 0, 25, United-States, <=50K +29, Private, 202878, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2042, 40, United-States, <=50K +36, Private, 343476, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +41, Self-emp-inc, 93227, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1977, 60, Taiwan, >50K +60, Self-emp-not-inc, 38622, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, State-gov, 173730, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K +32, Private, 178623, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, ?, <=50K +27, Private, 300783, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, >50K +60, Private, 224644, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 191502, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 61885, 12th, 8, Divorced, Transport-moving, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K +34, Self-emp-not-inc, 213887, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, Canada, >50K +36, Private, 331395, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 145098, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 123075, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 216804, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 33, United-States, <=50K +40, Private, 188291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 33610, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 234901, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 349148, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 168443, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +43, Private, 211860, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K +35, Private, 193961, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +36, Local-gov, 52532, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K +59, Self-emp-not-inc, 75804, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, >50K +33, Self-emp-not-inc, 176185, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 306779, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 265192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +54, Private, 139347, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 107682, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +37, Private, 34173, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 128378, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-inc, 195638, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 59287, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 162442, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +29, ?, 350603, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K +39, Private, 344743, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, Black, Female, 0, 0, 50, United-States, >50K +35, Private, 112077, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 40, United-States, <=50K +26, Private, 176795, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, >50K +51, Private, 137815, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +31, Private, 309620, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 6, South, <=50K +39, Private, 336880, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 206600, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K +25, Private, 193051, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 35, United-States, <=50K +61, Federal-gov, 229062, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K +49, Private, 62793, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 264939, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K +52, Private, 370552, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +52, Private, 163678, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +74, ?, 89667, Bachelors, 13, Widowed, ?, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K +50, Private, 558490, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 124680, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 13550, 0, 35, United-States, >50K +76, Private, 208843, 7th-8th, 4, Widowed, Protective-serv, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 95078, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +25, Private, 169679, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 101320, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 168906, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +20, Private, 212582, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +66, ?, 170617, Masters, 14, Widowed, ?, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K +63, ?, 170529, Bachelors, 13, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 45, United-States, <=50K +27, Private, 99897, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 104892, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2829, 0, 40, United-States, <=50K +43, Private, 175224, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, Nicaragua, <=50K +23, Private, 149704, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Federal-gov, 214542, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 167319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, State-gov, 43716, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, United-States, <=50K +28, Private, 191935, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +70, ?, 158642, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2993, 0, 20, United-States, <=50K +35, Private, 338611, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 136419, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 75, United-States, >50K +17, Private, 72321, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 12, United-States, <=50K +41, Local-gov, 189956, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K +44, Private, 403782, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +47, Private, 456661, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +24, Private, 279041, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 65716, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 189809, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 52, Jamaica, <=50K +62, Local-gov, 223637, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +27, Local-gov, 199343, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K +59, Private, 139344, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +35, Private, 119098, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 195025, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +28, Private, 186720, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K +28, Private, 328923, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 38, United-States, <=50K +59, State-gov, 159472, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 138662, Some-college, 10, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +54, Local-gov, 286342, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, >50K +39, Private, 181705, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +41, Private, 193882, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 216497, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K +32, Self-emp-inc, 124919, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Iran, >50K +62, Private, 109463, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 1617, 33, United-States, <=50K +58, Private, 256274, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 326379, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 174995, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 2457, 40, United-States, <=50K +31, Private, 243142, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Local-gov, 155118, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 70, United-States, >50K +54, Private, 189607, Bachelors, 13, Never-married, Other-service, Own-child, Black, Female, 0, 0, 36, United-States, <=50K +20, Private, 39478, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +35, Private, 206951, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 127647, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 36, United-States, <=50K +38, Private, 234298, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 6849, 0, 60, United-States, <=50K +42, Private, 182302, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, State-gov, 166597, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Self-emp-not-inc, 33363, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K +74, Self-emp-inc, 167537, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +34, Private, 179378, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, <=50K +50, State-gov, 297551, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, <=50K +50, Private, 198362, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 240504, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 169662, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, ?, 164940, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +61, Private, 210488, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +21, Private, 154835, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +27, Private, 333296, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, ?, <=50K +47, Private, 192793, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K +39, Private, 49436, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K +33, Private, 136331, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 509048, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 37, United-States, <=50K +38, Private, 318610, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +45, Private, 104521, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 247695, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +35, Private, 219546, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Germany, <=50K +21, Private, 169699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +49, State-gov, 131302, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 44, United-States, <=50K +50, Private, 171852, Bachelors, 13, Separated, Prof-specialty, Own-child, Other, Female, 0, 0, 40, United-States, <=50K +36, State-gov, 340091, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K +20, Private, 204641, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +49, Private, 213431, HS-grad, 9, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +40, State-gov, 377018, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +22, Private, 184543, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +60, ?, 188236, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +67, Private, 233022, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +21, Private, 177420, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 21101, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K +17, Private, 52486, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K +43, Private, 183273, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 32, United-States, >50K +49, State-gov, 36177, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +41, Private, 124956, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Black, Female, 99999, 0, 60, United-States, >50K +38, Private, 102350, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 165930, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 297574, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K +40, Private, 120277, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, ?, 87569, Some-college, 10, Separated, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, ?, 278220, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 40, United-States, <=50K +40, Private, 155972, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +46, State-gov, 162852, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 64860, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 22, United-States, <=50K +36, Private, 226013, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 5178, 0, 40, United-States, >50K +24, Private, 322674, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +62, Private, 202242, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +54, Private, 175262, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +23, Private, 201682, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 166330, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +18, Self-emp-inc, 147612, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 8, United-States, <=50K +41, Local-gov, 213154, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K +45, Local-gov, 33798, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +62, State-gov, 199198, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 90915, Bachelors, 13, Married-spouse-absent, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-inc, 337778, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Yugoslavia, >50K +31, Private, 187203, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 261497, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, ?, <=50K +33, Self-emp-not-inc, 361817, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +62, Self-emp-not-inc, 226546, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K +27, Private, 100168, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +42, Federal-gov, 272625, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, >50K +55, Private, 254516, 9th, 5, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 37, United-States, <=50K +41, Private, 207375, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +26, Private, 39092, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4064, 0, 50, United-States, <=50K +45, Private, 48271, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +67, Self-emp-not-inc, 152102, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +25, Private, 234665, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Self-emp-inc, 127651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 48, United-States, >50K +22, Private, 180060, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 32477, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 137658, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +61, Private, 228287, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 159442, Prof-school, 15, Never-married, Sales, Not-in-family, White, Female, 13550, 0, 50, United-States, >50K +43, Private, 33310, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 270546, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +53, Federal-gov, 290290, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +42, Self-emp-inc, 287037, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +36, Private, 128516, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 185195, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, <=50K +35, Federal-gov, 49657, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +17, Private, 98005, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K +55, Self-emp-not-inc, 283635, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +36, Private, 98360, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Local-gov, 202872, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +54, Self-emp-not-inc, 118365, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 10, United-States, <=50K +45, Self-emp-not-inc, 184285, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +48, Private, 345831, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Local-gov, 99679, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +31, Private, 253354, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 190650, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K +34, Private, 287737, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, >50K +19, Private, 204389, HS-grad, 9, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 25, Puerto-Rico, <=50K +31, Federal-gov, 294870, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 159442, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +55, Local-gov, 161662, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +38, Private, 52738, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 252024, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, Mexico, <=50K +27, Private, 189702, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 407913, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 166527, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 20, United-States, <=50K +24, Self-emp-not-inc, 34918, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +27, Private, 142712, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +18, Federal-gov, 201686, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 4, United-States, <=50K +28, Local-gov, 179759, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 94954, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, Private, 350498, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1258, 20, United-States, <=50K +19, Private, 201743, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +59, Self-emp-not-inc, 119344, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 36, United-States, <=50K +33, Private, 149726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 46, United-States, <=50K +28, Private, 419146, 7th-8th, 4, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +34, Private, 174789, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K +41, Private, 171234, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +30, Private, 206325, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +59, Private, 202682, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 121055, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +47, Private, 160187, HS-grad, 9, Separated, Prof-specialty, Other-relative, Black, Female, 14084, 0, 38, United-States, >50K +29, Private, 84366, 10th, 6, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +60, Private, 139391, Some-college, 10, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +53, Local-gov, 124094, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 35, United-States, <=50K +41, Private, 30759, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 137875, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +73, ?, 139049, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 22, United-States, >50K +20, Private, 238384, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 340755, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Local-gov, 224947, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +33, State-gov, 111994, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +25, Private, 125491, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 34, United-States, <=50K +34, ?, 310525, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 10, United-States, <=50K +19, ?, 71592, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +40, Local-gov, 99185, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 249935, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K +51, Private, 206775, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 230704, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, Jamaica, <=50K +34, Private, 242361, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 50, United-States, <=50K +22, Private, 134746, 10th, 6, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-inc, 198613, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2002, 40, United-States, <=50K +56, Private, 174040, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 165953, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, <=50K +36, Private, 273604, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 192409, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +26, Self-emp-not-inc, 102476, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 234504, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Self-emp-not-inc, 468713, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 84560, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 148995, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 34816, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 12, United-States, <=50K +28, Private, 211184, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +53, Private, 33304, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Federal-gov, 179985, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 219815, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 134766, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +26, Private, 106548, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +70, Private, 89787, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K +55, Private, 164857, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Federal-gov, 257124, Bachelors, 13, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +31, Private, 227446, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, >50K +43, Private, 125461, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K +24, Private, 189749, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 176321, 7th-8th, 4, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +26, Private, 284250, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 101885, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 134130, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +52, Private, 260938, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 238184, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 148626, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 48102, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 50, United-States, >50K +58, Private, 234213, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 14344, 0, 48, United-States, >50K +65, Private, 113323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Local-gov, 34246, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +51, Private, 175070, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 45, United-States, >50K +31, Private, 279680, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +84, Private, 188328, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +51, Private, 96609, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Local-gov, 84257, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 275632, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +22, Private, 385540, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 196342, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K +47, Private, 97176, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 197714, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +43, Self-emp-not-inc, 147099, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +30, Private, 186346, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +46, Private, 73434, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +49, Local-gov, 275074, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +37, Private, 209214, 5th-6th, 3, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +42, Private, 210525, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 372020, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 50, United-States, <=50K +46, Private, 176684, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 210474, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 293690, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, >50K +64, Private, 149775, Masters, 14, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 8, United-States, <=50K +20, Private, 323009, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K +31, Private, 126950, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 172538, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K +44, Private, 115411, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 101709, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 2885, 0, 40, United-States, <=50K +23, Private, 265356, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 192565, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 90, United-States, >50K +35, Self-emp-not-inc, 348771, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K +30, Self-emp-not-inc, 148959, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +35, Private, 126569, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K +40, Private, 105936, HS-grad, 9, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K +18, Private, 188076, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +23, Private, 184400, 10th, 6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, ?, <=50K +63, Private, 124242, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +20, State-gov, 200819, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 100480, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +49, Private, 129513, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, Self-emp-not-inc, 297796, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 195488, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 153486, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 56, United-States, >50K +40, Private, 126845, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 206974, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 412149, 10th, 6, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K +24, Private, 653574, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K +37, Private, 70562, 1st-4th, 2, Never-married, Other-service, Unmarried, White, Female, 0, 0, 48, El-Salvador, <=50K +62, Private, 197514, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 16, United-States, <=50K +19, ?, 309284, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 334679, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +65, Private, 105116, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 2346, 0, 40, United-States, <=50K +31, Private, 151484, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K +42, Self-emp-inc, 78765, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 90, United-States, >50K +42, Private, 98427, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, <=50K +54, Private, 230767, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, <=50K +23, Private, 117606, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 60, United-States, <=50K +28, Private, 68642, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K +42, Private, 341638, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 65920, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +33, Federal-gov, 188246, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 198727, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 160728, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 2977, 0, 40, United-States, <=50K +27, Private, 706026, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 348148, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +62, Private, 77884, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +17, Private, 160758, 10th, 6, Never-married, Sales, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +58, Private, 201112, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 55, United-States, >50K +69, Self-emp-inc, 107850, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6514, 0, 40, United-States, >50K +34, Private, 230246, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K +34, Private, 203034, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 2824, 50, United-States, >50K +20, Private, 373935, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +64, Federal-gov, 341695, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +27, Private, 119793, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, ?, <=50K +41, Private, 178002, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +40, Private, 233130, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +53, Local-gov, 192982, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, >50K +44, Private, 33155, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 187346, 5th-6th, 3, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +46, Private, 78529, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K +17, Private, 101626, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K +35, Private, 117567, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Local-gov, 110791, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, State-gov, 207120, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Private, 43206, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +26, Private, 120238, Bachelors, 13, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 189219, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +35, State-gov, 190895, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 83517, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 35557, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K +36, Local-gov, 59313, Some-college, 10, Separated, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 202033, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Local-gov, 55658, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +21, Private, 118186, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +22, Private, 279901, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 110954, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, El-Salvador, >50K +36, Self-emp-not-inc, 90159, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 122489, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 1726, 60, United-States, <=50K +49, Self-emp-not-inc, 43348, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 70, United-States, >50K +42, Private, 34278, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 37778, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, <=50K +39, Private, 160623, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 342458, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 64322, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 373914, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 205884, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K +62, Local-gov, 208266, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 222450, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +23, Private, 348420, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 136081, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2051, 40, United-States, <=50K +37, Federal-gov, 197284, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, ?, 204773, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 206066, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 61885, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 299908, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K +35, Private, 46028, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +47, Private, 239865, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 45, United-States, >50K +30, Private, 154587, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K +29, Private, 244473, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 2051, 40, United-States, <=50K +36, Private, 32334, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +42, Private, 319588, Bachelors, 13, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +51, Private, 226735, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 226443, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 359259, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, Portugal, <=50K +27, Private, 36851, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K +39, Private, 393480, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +46, Private, 33109, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K +32, Self-emp-not-inc, 188246, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 1590, 62, United-States, <=50K +31, Private, 231569, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K +23, Private, 353010, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +47, Private, 102628, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +66, Private, 262285, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, United-States, <=50K +26, Private, 160300, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 156953, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Self-emp-inc, 136823, 11th, 7, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +48, Self-emp-not-inc, 160724, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K +37, Self-emp-inc, 86459, Assoc-acdm, 12, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 238628, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 5, United-States, <=50K +50, Private, 339954, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +28, ?, 222005, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +17, Federal-gov, 99893, 11th, 7, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 1602, 40, United-States, <=50K +39, Private, 214117, Some-college, 10, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +28, Federal-gov, 298661, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 179488, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 48343, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 40, United-States, >50K +28, Local-gov, 100270, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 227065, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 32, United-States, >50K +40, Private, 126701, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +20, Private, 209131, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, State-gov, 400132, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +23, State-gov, 278155, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 139012, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 2174, 0, 40, Vietnam, <=50K +41, Private, 178431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K +42, Private, 511068, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +18, Private, 199039, 12th, 8, Never-married, Sales, Own-child, White, Male, 594, 0, 14, United-States, <=50K +29, Local-gov, 190525, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 60, Germany, >50K +36, Private, 115700, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 167832, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 218164, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 44, United-States, <=50K +48, State-gov, 171926, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +36, Self-emp-inc, 242080, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K +67, Federal-gov, 223257, HS-grad, 9, Widowed, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 386773, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K +53, Self-emp-not-inc, 105478, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 40, United-States, >50K +45, Private, 140644, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +22, Private, 205970, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +25, Private, 216583, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, <=50K +61, Private, 162432, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Local-gov, 83671, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-inc, 205100, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, Germany, <=50K +31, Private, 195750, 1st-4th, 2, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +17, Private, 220562, 9th, 5, Never-married, Sales, Other-relative, Other, Female, 0, 0, 32, Mexico, <=50K +38, Self-emp-inc, 312232, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 386337, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, ?, <=50K +42, Private, 86185, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +78, Private, 105586, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 36, United-States, <=50K +54, Private, 103345, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Local-gov, 150553, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K +30, Private, 26009, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +46, Private, 149388, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 151626, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K +30, Private, 169583, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +66, Local-gov, 174486, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 20051, 0, 35, Jamaica, >50K +23, Private, 160951, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 2597, 0, 40, United-States, <=50K +25, Private, 213383, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 103078, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 109526, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K +51, Private, 142835, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, State-gov, 43475, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 190916, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 175987, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Local-gov, 214385, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +26, Private, 192652, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Federal-gov, 207685, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +19, Private, 143857, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +39, Private, 163392, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 26, ?, <=50K +51, Private, 310774, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +29, ?, 427965, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +27, Private, 279608, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +33, Private, 312881, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +19, Private, 175083, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K +67, ?, 132057, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 20, United-States, <=50K +41, Private, 32878, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Federal-gov, 360527, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 99478, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 113035, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Federal-gov, 99199, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 36, United-States, <=50K +24, Local-gov, 452640, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 14344, 0, 50, United-States, >50K +48, Private, 236858, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 31, United-States, <=50K +46, Self-emp-inc, 201865, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 268661, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Federal-gov, 475324, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 117295, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 65704, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, ?, <=50K +45, Private, 192835, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Local-gov, 76720, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +39, Local-gov, 180686, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K +33, Local-gov, 133876, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 123727, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +50, Private, 129956, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +25, Private, 96268, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 317320, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 86872, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +31, State-gov, 100863, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, >50K +56, Private, 164332, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K +49, Self-emp-not-inc, 122584, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 34377, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Private, 162030, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +33, Private, 199170, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 470203, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +40, Private, 266803, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +72, ?, 188009, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +32, State-gov, 513416, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +44, Private, 98211, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +48, Private, 196107, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +17, Private, 108273, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K +50, Private, 213290, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 36, United-States, >50K +61, Private, 96660, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 15024, 0, 34, United-States, >50K +22, Local-gov, 412316, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +17, Private, 120068, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K +49, Self-emp-inc, 101722, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +26, Private, 120268, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, State-gov, 144429, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K +17, Private, 271122, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +38, Private, 255621, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 90934, Assoc-voc, 11, Divorced, Protective-serv, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +51, Private, 162745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K +48, Private, 128460, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K +63, Private, 30813, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +19, Private, 164585, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +73, Private, 148003, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 20051, 0, 36, United-States, >50K +51, Private, 215647, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +38, Private, 300975, Masters, 14, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1485, 40, ?, <=50K +54, Private, 421561, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 149909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K +65, ?, 240857, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2377, 40, United-States, >50K +36, Self-emp-not-inc, 138940, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K +42, Private, 66755, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K +38, Private, 103323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +20, ?, 117222, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, State-gov, 29145, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +35, State-gov, 184659, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K +51, Self-emp-not-inc, 20795, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 311376, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, State-gov, 122660, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +19, ?, 137578, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K +37, Private, 193689, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, >50K +29, Private, 144556, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 228696, 1st-4th, 2, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 2603, 32, Mexico, <=50K +60, Private, 184183, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +22, Private, 243178, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +22, ?, 236330, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 1721, 20, United-States, <=50K +60, State-gov, 190682, Assoc-voc, 11, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K +35, Private, 233786, 11th, 7, Separated, Other-service, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +45, Private, 102202, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 95299, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, >50K +43, Self-emp-inc, 240504, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +32, State-gov, 169973, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +35, Private, 144937, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K +32, Private, 211751, Assoc-voc, 11, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +61, Private, 84587, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +40, State-gov, 150874, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K +20, ?, 187332, 10th, 6, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +42, Self-emp-inc, 188615, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +21, Private, 119704, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +21, Private, 275190, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +26, Private, 417941, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, State-gov, 196348, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +24, Private, 221955, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 173938, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, >50K +51, Private, 123429, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +65, ?, 143732, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +61, Private, 203126, Bachelors, 13, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 12, ?, <=50K +67, Private, 174693, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 25, Nicaragua, <=50K +49, Private, 357540, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K +63, ?, 29859, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1485, 40, United-States, >50K +58, Private, 314092, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 48, United-States, >50K +61, Private, 280088, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 257380, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 35, United-States, <=50K +19, Private, 165306, Some-college, 10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +29, Self-emp-not-inc, 109001, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +43, Private, 266439, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K +60, Self-emp-not-inc, 153356, HS-grad, 9, Divorced, Sales, Not-in-family, Black, Male, 2597, 0, 55, United-States, <=50K +21, Private, 32950, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 182163, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 188246, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +36, Private, 297335, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, China, <=50K +37, Private, 108366, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K +35, Private, 328301, Assoc-acdm, 12, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 182158, 10th, 6, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K +37, Private, 169426, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +22, ?, 330571, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +28, Private, 535978, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 29393, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-inc, 258883, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 60, Hungary, >50K +26, Private, 369166, Some-college, 10, Never-married, Farming-fishing, Other-relative, White, Female, 0, 0, 65, United-States, <=50K +45, Local-gov, 257855, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K +32, Private, 164197, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K +63, Private, 109517, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +22, Private, 112137, Some-college, 10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K +36, Private, 160035, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +45, State-gov, 50567, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 140011, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +27, State-gov, 271328, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +20, ?, 183083, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +47, Self-emp-not-inc, 159869, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, >50K +46, Private, 102542, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 52, United-States, <=50K +28, Private, 297742, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 176917, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 165235, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Thailand, <=50K +32, Self-emp-not-inc, 52647, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Local-gov, 48542, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 279232, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +58, State-gov, 259929, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, >50K +45, Private, 221780, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +76, Self-emp-not-inc, 253408, Some-college, 10, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 298841, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 321313, Masters, 14, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 64875, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 275232, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K +53, Self-emp-inc, 134854, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Greece, >50K +41, Private, 67339, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K +27, State-gov, 192355, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +44, Local-gov, 208528, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 160120, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K +36, Private, 250238, 1st-4th, 2, Never-married, Other-service, Other-relative, Other, Female, 0, 0, 40, El-Salvador, <=50K +51, Private, 25031, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 10, United-States, >50K +42, Local-gov, 255847, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 26892, Bachelors, 13, Married-AF-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K +45, Private, 111979, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 408537, 9th, 5, Divorced, Craft-repair, Unmarried, White, Female, 99999, 0, 37, United-States, >50K +36, Private, 231037, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Federal-gov, 30030, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +27, Private, 292120, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +62, Private, 138253, Masters, 14, Never-married, Handlers-cleaners, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +29, Private, 190777, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +38, Self-emp-not-inc, 41591, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K +29, Private, 186733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +18, ?, 78567, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +19, ?, 140590, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +32, Local-gov, 230912, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K +34, Private, 176185, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K +25, Private, 182227, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +34, Local-gov, 205704, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +37, State-gov, 24342, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K +37, Private, 138192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +18, Private, 334676, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +24, Private, 177526, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 152696, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +35, Private, 114765, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 265509, Assoc-voc, 11, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +29, Private, 180758, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +49, Self-emp-not-inc, 127921, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +71, ?, 177906, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K +35, Federal-gov, 182898, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 422249, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 222450, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +33, Local-gov, 190027, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 18, United-States, <=50K +49, Private, 281647, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +32, Private, 117963, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +63, ?, 319121, 11th, 7, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 225504, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 104334, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +30, State-gov, 48214, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +30, Private, 145714, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 38240, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Self-emp-not-inc, 27385, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 10, United-States, <=50K +56, Private, 204254, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K +28, Private, 411587, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Honduras, <=50K +43, Private, 221172, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 24, United-States, >50K +46, Private, 54190, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +60, Private, 93997, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K +50, Local-gov, 24139, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 65, United-States, <=50K +37, Private, 112497, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +41, Private, 138907, HS-grad, 9, Divorced, Priv-house-serv, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 186325, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 38, United-States, >50K +23, Private, 199452, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 126677, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +72, Private, 107814, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 2329, 0, 60, United-States, <=50K +47, Local-gov, 93618, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K +29, Private, 353352, Assoc-voc, 11, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 143058, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 239663, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K +22, Private, 167615, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 442274, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 149210, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K +55, Federal-gov, 174533, Bachelors, 13, Separated, Other-service, Unmarried, White, Female, 0, 0, 72, ?, <=50K +40, State-gov, 50093, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +61, Private, 270056, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K +58, Self-emp-not-inc, 131991, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 72, United-States, <=50K +39, State-gov, 126336, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 341117, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +25, Private, 108505, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +69, ?, 106566, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Private, 74791, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Male, 0, 0, 60, ?, <=50K +34, Private, 24266, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +45, Private, 267967, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +27, ?, 181284, 12th, 8, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 45, United-States, <=50K +28, Private, 102533, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 69757, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +41, State-gov, 210094, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +18, State-gov, 389147, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +44, Private, 210648, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 94809, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K +36, Local-gov, 298717, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 236879, Preschool, 1, Widowed, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Guatemala, <=50K +33, Private, 170148, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +39, Local-gov, 166497, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +30, Private, 247156, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 204052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Self-emp-not-inc, 122246, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +21, Private, 180339, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +50, Self-emp-inc, 155574, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K +30, Private, 114912, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 60, United-States, >50K +43, Private, 193882, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 112269, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +26, Federal-gov, 171928, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, Japan, <=50K +50, Private, 95435, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 65, Canada, <=50K +45, Federal-gov, 179638, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +46, Self-emp-inc, 125892, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 721712, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K +56, Private, 197369, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 353795, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 3103, 0, 40, United-States, >50K +47, Private, 334679, Masters, 14, Separated, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 42, India, <=50K +23, Private, 235853, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +51, Self-emp-not-inc, 353281, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 203061, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +33, Self-emp-not-inc, 62932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 118551, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 80, United-States, <=50K +52, Private, 99184, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 189674, Some-college, 10, Separated, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 226883, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, ?, 109564, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Self-emp-inc, 66872, 12th, 8, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 98, Dominican-Republic, <=50K +35, Local-gov, 268292, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Federal-gov, 139290, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 206541, 11th, 7, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 203139, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 294398, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 386864, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K +17, Private, 369909, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +56, Private, 89922, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 45, United-States, >50K +26, Private, 176008, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, State-gov, 241506, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 36, United-States, <=50K +45, Self-emp-not-inc, 174426, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +34, Private, 167497, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 50, United-States, >50K +54, Private, 292673, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K +51, Local-gov, 134808, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 95763, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +49, Private, 83622, Assoc-acdm, 12, Separated, Adm-clerical, Not-in-family, White, Female, 2597, 0, 40, United-States, <=50K +21, Private, 222490, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 29115, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 66638, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +39, Private, 53926, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 43739, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 104359, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 124604, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +45, Private, 114797, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +60, Federal-gov, 67320, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +28, Federal-gov, 53147, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 13769, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K +44, Private, 202872, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +19, State-gov, 149528, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 12, United-States, <=50K +37, Private, 132879, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 112362, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 38, United-States, <=50K +56, Federal-gov, 156229, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +44, Private, 131650, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, >50K +30, Private, 154568, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 36, Vietnam, >50K +23, Private, 132300, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 124747, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 3103, 0, 40, United-States, >50K +38, Private, 276559, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 70, United-States, >50K +32, Private, 106014, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K +57, Self-emp-not-inc, 135134, Masters, 14, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +35, Private, 86648, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +48, Self-emp-not-inc, 107231, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +32, Local-gov, 113838, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 99, United-States, <=50K +76, Federal-gov, 25319, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +57, Local-gov, 190561, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K +58, ?, 150031, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 48343, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +50, Private, 211116, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 226311, HS-grad, 9, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K +53, Private, 283743, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 40, United-States, <=50K +59, Self-emp-not-inc, 64102, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +23, Private, 234663, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 247880, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +23, Private, 615367, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 163090, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +44, Private, 192225, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 370183, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 242482, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 169953, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Local-gov, 144182, Preschool, 1, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +38, Private, 125933, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 27828, 0, 45, United-States, >50K +26, Private, 203777, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K +39, Private, 210991, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 472580, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +33, State-gov, 200289, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 19, India, <=50K +43, Private, 289669, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 2547, 40, United-States, >50K +30, Private, 110622, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K +59, State-gov, 139616, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +26, Private, 39212, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +28, Private, 51961, Some-college, 10, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 24, United-States, <=50K +48, Self-emp-not-inc, 117849, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 50748, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 1506, 0, 35, United-States, <=50K +41, Self-emp-not-inc, 170214, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2179, 40, United-States, <=50K +20, Private, 151790, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 168211, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +37, State-gov, 117651, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 157131, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K +61, Private, 225970, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 177951, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K +66, Private, 134130, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K +68, Private, 191581, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 3273, 0, 40, United-States, <=50K +27, Local-gov, 199172, HS-grad, 9, Married-civ-spouse, Protective-serv, Wife, White, Female, 0, 0, 40, United-States, <=50K +66, Self-emp-not-inc, 262552, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 7, United-States, <=50K +28, Private, 66434, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +26, Private, 77661, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, ?, 230856, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 192835, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +62, ?, 181014, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 200445, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 1974, 40, United-States, <=50K +26, Self-emp-not-inc, 37918, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 111020, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 244665, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, Honduras, <=50K +52, Private, 312477, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 243493, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 12, United-States, <=50K +39, State-gov, 152023, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 104193, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 114, 0, 40, United-States, <=50K +47, Private, 170850, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, <=50K +33, Private, 137088, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Ecuador, <=50K +17, Private, 340557, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +26, Private, 298225, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 114150, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 194668, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K +33, Private, 188246, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K +46, Federal-gov, 330901, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 80165, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +48, Private, 83444, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K +29, Self-emp-not-inc, 85572, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 5, United-States, <=50K +40, Private, 116632, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 139989, Bachelors, 13, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +55, Private, 135803, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 1579, 35, India, <=50K +56, Private, 75785, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 248612, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +36, Private, 28572, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Self-emp-not-inc, 31143, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 216924, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, >50K +36, Private, 549174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Self-emp-not-inc, 111296, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, Mexico, <=50K +25, Private, 208881, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +36, State-gov, 243666, HS-grad, 9, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 327164, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, ?, <=50K +39, Self-emp-inc, 131288, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 48, United-States, >50K +35, Private, 257416, Assoc-voc, 11, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 215288, 11th, 7, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +31, Private, 58582, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K +49, Private, 199378, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 22, United-States, <=50K +34, Self-emp-not-inc, 114185, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, ?, <=50K +40, Private, 137421, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Trinadad&Tobago, <=50K +27, Private, 216481, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 196504, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 23, United-States, <=50K +38, Private, 357870, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K +55, State-gov, 256335, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 168191, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 70, Italy, <=50K +40, Private, 215596, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K +42, Private, 184682, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +51, Private, 171914, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 288229, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 50, Laos, <=50K +30, State-gov, 144064, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +70, ?, 54849, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K +40, Private, 141583, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 180985, Bachelors, 13, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +24, Private, 148709, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, ?, 174626, 7th-8th, 4, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 184801, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +52, Private, 89054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 147284, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 169973, Assoc-voc, 11, Separated, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 222993, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 41099, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 33117, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 162551, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Hong, >50K +49, Private, 122066, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2603, 40, Greece, <=50K +61, ?, 42938, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 7, United-States, >50K +46, Private, 389843, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, >50K +37, Private, 138940, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Federal-gov, 141877, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 172722, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Self-emp-not-inc, 118523, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 227886, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +36, Private, 80743, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K +52, Private, 199688, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 225823, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +21, Private, 176486, HS-grad, 9, Married-spouse-absent, Exec-managerial, Other-relative, White, Female, 0, 0, 60, United-States, <=50K +63, Private, 175777, 10th, 6, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 295010, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 437825, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, Peru, <=50K +50, Private, 270194, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +41, Private, 242089, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +39, Self-emp-inc, 117555, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +23, Private, 146499, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +52, Private, 222405, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 2377, 40, United-States, <=50K +17, ?, 216595, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +46, Private, 157991, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K +26, Private, 373553, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 42, United-States, <=50K +30, Private, 194827, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +23, Private, 60331, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +21, State-gov, 96483, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 12, United-States, <=50K +39, Private, 211154, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +37, Local-gov, 247750, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 204235, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K +38, Private, 197113, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +47, Private, 178341, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 60, United-States, <=50K +20, Private, 293297, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +35, Private, 35330, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, State-gov, 202056, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K +32, Private, 61898, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +42, Self-emp-inc, 1097453, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +32, Private, 176992, 10th, 6, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 295289, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K +53, Self-emp-inc, 298215, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Self-emp-not-inc, 209934, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, Mexico, <=50K +26, Private, 164938, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 423222, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +23, Private, 124259, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +70, Self-emp-inc, 232871, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K +41, State-gov, 73199, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 27661, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +65, Private, 461715, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, ?, <=50K +40, Self-emp-not-inc, 89413, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K +64, Self-emp-not-inc, 31826, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +40, Private, 279679, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +43, Private, 221172, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +50, Federal-gov, 222020, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K +19, ?, 181265, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +32, Self-emp-not-inc, 261056, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 2174, 0, 60, ?, <=50K +32, Private, 204792, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 384508, 11th, 7, Divorced, Sales, Unmarried, White, Male, 1506, 0, 50, Mexico, <=50K +41, Private, 288568, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 182714, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, England, <=50K +20, Private, 471452, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +45, State-gov, 264052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 146659, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K +24, Private, 203027, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 218309, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +28, Private, 133625, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +35, Private, 45937, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, ?, 389850, HS-grad, 9, Married-spouse-absent, ?, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K +38, Federal-gov, 201617, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Local-gov, 114733, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +50, State-gov, 97778, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 149507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +35, Private, 82622, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 48014, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, France, <=50K +61, State-gov, 162678, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 213842, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K +61, Private, 221447, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +18, Private, 426836, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +31, Local-gov, 206609, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 50276, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +20, Private, 180497, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +35, Private, 220585, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 202752, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 75993, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +18, Private, 170544, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +55, Private, 115439, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K +59, Private, 24384, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 209067, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 65225, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +60, Federal-gov, 27466, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, England, <=50K +49, Federal-gov, 179869, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 442131, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 243283, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 316627, 5th-6th, 3, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 208862, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Federal-gov, 38645, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 141272, Bachelors, 13, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K +41, State-gov, 29324, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +18, ?, 348588, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +40, Private, 124747, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 7298, 0, 40, United-States, >50K +55, Self-emp-not-inc, 477867, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 218361, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 1602, 12, United-States, <=50K +34, Self-emp-not-inc, 156809, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1504, 60, United-States, <=50K +24, Private, 267945, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 35724, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +29, Private, 187188, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K +52, Private, 155983, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Federal-gov, 414994, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 103474, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +43, Private, 211128, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +61, Private, 203445, Some-college, 10, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 38312, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K +51, Private, 178241, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K +40, Private, 260761, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K +41, Local-gov, 36924, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 292590, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +28, Private, 461929, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +59, Private, 189664, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, State-gov, 190577, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 344200, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 337494, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +54, Self-emp-not-inc, 52634, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 194901, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 2444, 42, United-States, >50K +20, Private, 170091, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +27, ?, 189399, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 205072, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +35, Private, 310290, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 134048, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +40, Private, 91959, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, >50K +34, Private, 153942, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Local-gov, 234096, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 185330, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 25, United-States, <=50K +28, Private, 163772, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, United-States, <=50K +65, Private, 83800, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 27, United-States, <=50K +61, Private, 139391, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 16, United-States, <=50K +18, Private, 478380, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +35, Self-emp-inc, 186845, Bachelors, 13, Married-civ-spouse, Sales, Own-child, White, Male, 5178, 0, 50, United-States, >50K +45, Private, 262802, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +68, ?, 152157, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +25, Private, 114483, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 118023, Prof-school, 15, Divorced, Sales, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K +19, Private, 220101, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 219424, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 50, United-States, >50K +54, Private, 186117, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +47, Self-emp-not-inc, 479611, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 80312, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K +30, Private, 108386, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 125926, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +35, Private, 177102, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 190762, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 18, United-States, <=50K +61, Private, 180632, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 88019, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 32, United-States, <=50K +50, Private, 135339, 12th, 8, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K +32, Private, 100662, 9th, 5, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K +34, Private, 183557, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +36, Private, 160035, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 306790, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 269246, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 308334, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K +58, Private, 215190, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +27, Private, 419146, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 75, Mexico, <=50K +62, Private, 176839, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, <=50K +36, Self-emp-inc, 184456, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 27828, 0, 55, United-States, >50K +21, Local-gov, 309348, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 594, 0, 4, United-States, <=50K +41, Private, 56795, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, England, <=50K +28, Private, 201861, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 179509, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 291755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +19, Private, 243941, Some-college, 10, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 1721, 25, United-States, <=50K +76, Self-emp-not-inc, 117169, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +25, ?, 100903, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K +34, Private, 159322, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Private, 262872, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 187052, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +17, Private, 277583, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +55, Private, 169071, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +51, Local-gov, 96190, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 61603, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +44, Private, 43711, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +65, ?, 197883, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K +54, Private, 99434, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Self-emp-not-inc, 177639, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 201723, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 222248, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +39, Private, 86143, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +46, ?, 228620, 11th, 7, Widowed, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 346034, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K +59, Private, 87510, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 37932, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 185063, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +62, ?, 125493, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 5178, 0, 40, Scotland, >50K +51, Private, 159755, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +34, Private, 108837, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 110669, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +21, ?, 220115, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +30, Self-emp-not-inc, 45427, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K +38, Private, 154669, HS-grad, 9, Separated, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 261278, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 5178, 0, 40, Philippines, >50K +23, Private, 71864, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +34, Private, 173495, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +22, Private, 254293, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 111883, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 146429, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 472807, 1st-4th, 2, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 52, Mexico, <=50K +28, Private, 285294, Bachelors, 13, Married-civ-spouse, Sales, Wife, Black, Female, 15024, 0, 45, United-States, >50K +23, Private, 184665, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +35, Private, 205852, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 83879, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 178564, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +46, Self-emp-inc, 168796, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +27, Private, 269444, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 47353, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-inc, 29254, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +33, Private, 155343, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 234271, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 257849, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +23, Private, 228230, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 47, United-States, <=50K +36, Private, 227615, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 32, Mexico, <=50K +29, Private, 406826, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +50, Self-emp-not-inc, 27539, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 40, United-States, >50K +19, Private, 97261, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 232022, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +52, Federal-gov, 168539, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 515797, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 351381, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 161018, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +60, Private, 26721, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 164123, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 98418, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K +36, Private, 29814, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 254613, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Cuba, <=50K +49, Private, 207677, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +25, Self-emp-not-inc, 217030, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +50, Private, 171199, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 198270, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +28, ?, 131310, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 79923, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K +40, Self-emp-inc, 475322, Bachelors, 13, Separated, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +56, Private, 134286, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +56, Self-emp-not-inc, 73746, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 125525, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 42, United-States, <=50K +38, ?, 155676, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 304949, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K +67, Private, 150516, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K +54, State-gov, 249096, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 164127, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +59, Private, 304779, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 157043, 11th, 7, Widowed, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +30, Private, 396538, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 29, United-States, <=50K +42, Private, 510072, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +64, ?, 200017, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +61, ?, 60641, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +26, Private, 89326, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 200471, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4064, 0, 40, United-States, <=50K +78, Self-emp-not-inc, 82815, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 3, United-States, >50K +24, Self-emp-not-inc, 117210, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 202206, 11th, 7, Separated, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Puerto-Rico, <=50K +51, Private, 123429, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +46, Private, 353512, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Self-emp-not-inc, 26683, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +20, Private, 204641, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 225053, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, ?, 98776, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 263932, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +30, Private, 108247, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Self-emp-not-inc, 369648, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +26, Private, 339324, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 96, United-States, <=50K +59, ?, 145574, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K +53, Private, 317313, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +24, Local-gov, 162919, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 186314, Some-college, 10, Separated, Prof-specialty, Own-child, White, Male, 0, 0, 54, United-States, <=50K +36, Private, 254202, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +39, Private, 108140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +53, Private, 287317, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 32, United-States, <=50K +75, Self-emp-inc, 81534, HS-grad, 9, Widowed, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 35, United-States, >50K +36, Private, 35945, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +46, Self-emp-inc, 204928, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 208809, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +29, Private, 133625, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +60, Private, 71683, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 49, United-States, <=50K +58, Private, 570562, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +67, Self-emp-not-inc, 36876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +35, Private, 253006, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 38, United-States, >50K +39, Self-emp-not-inc, 50096, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K +37, Private, 336880, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +54, ?, 135840, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +63, Self-emp-not-inc, 168048, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 187969, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +23, Private, 117363, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 256526, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 4865, 0, 45, United-States, <=50K +49, Private, 304416, 11th, 7, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 248011, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K +23, Private, 229826, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 159796, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K +44, Private, 165346, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Private, 25386, Assoc-voc, 11, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +35, Private, 491000, Assoc-voc, 11, Divorced, Prof-specialty, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +23, Local-gov, 247731, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, Cuba, <=50K +48, Private, 180532, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 189462, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 2176, 0, 40, United-States, <=50K +44, Private, 419134, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 170166, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K +33, Self-emp-not-inc, 173495, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 423024, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +24, Private, 72119, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 2202, 0, 30, United-States, <=50K +32, Local-gov, 19302, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, England, >50K +24, State-gov, 257621, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +44, Self-emp-inc, 118212, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 70, United-States, >50K +27, Private, 259840, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 115289, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, France, >50K +26, Local-gov, 159662, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 379798, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 227945, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K +41, State-gov, 36999, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K +73, ?, 131982, Bachelors, 13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 5, Vietnam, <=50K +32, Self-emp-inc, 124052, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +56, Local-gov, 273084, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +59, Private, 170104, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +44, Private, 96249, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +35, Private, 140915, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 1590, 40, South, <=50K +52, Private, 230657, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 3781, 0, 40, Columbia, <=50K +30, Private, 195576, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 3325, 0, 50, United-States, <=50K +23, Private, 117767, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 112763, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 8614, 0, 43, United-States, >50K +61, Private, 79827, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 103925, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +68, Private, 161744, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 16, United-States, <=50K +41, Private, 106679, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K +42, Self-emp-not-inc, 196514, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, ?, 61985, 9th, 5, Separated, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K +19, Private, 157605, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 137367, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +40, Self-emp-inc, 110862, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2377, 50, United-States, <=50K +32, Private, 74883, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +51, Self-emp-inc, 98642, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K +44, Local-gov, 144778, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 177787, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 30, England, <=50K +30, ?, 103651, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K +44, Private, 162108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +24, Private, 217602, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 473133, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +17, Private, 113301, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, ?, <=50K +61, Private, 80896, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, India, >50K +30, Local-gov, 168387, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 38950, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 107801, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 191277, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 205359, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +39, ?, 240226, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 203357, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +52, Local-gov, 153064, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 202959, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 105150, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +19, Private, 238474, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 1085515, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +25, Private, 82560, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 43, United-States, <=50K +71, Private, 55965, 7th-8th, 4, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +27, Private, 161087, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 261278, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +54, Private, 182187, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Black, Male, 15024, 0, 38, Jamaica, >50K +18, Private, 138917, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 10, United-States, <=50K +49, Private, 200198, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +36, Private, 205359, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +57, Private, 250201, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +56, Federal-gov, 67153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Portugal, >50K +17, Private, 244523, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +30, Private, 236599, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 108713, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 177147, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 129246, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +50, ?, 222381, Some-college, 10, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 145111, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +44, Private, 62258, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, State-gov, 108293, Masters, 14, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +61, ?, 167284, 7th-8th, 4, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +25, Private, 97789, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 111415, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K +38, Private, 374524, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 287244, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +17, ?, 341395, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +48, Private, 278039, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 98360, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 317032, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +55, State-gov, 294395, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, White, Female, 6849, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 240900, HS-grad, 9, Divorced, Farming-fishing, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +45, Private, 32896, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 35, United-States, <=50K +49, Private, 97411, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, Laos, <=50K +19, Private, 72355, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +39, Private, 342448, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +43, Private, 187702, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 2174, 0, 45, United-States, <=50K +42, Private, 303388, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K +17, Private, 112291, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K +30, Private, 208668, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K +61, Local-gov, 28375, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +48, Private, 207277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +60, ?, 88675, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 47857, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Private, 372500, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, Mexico, <=50K +24, Private, 190968, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +41, Private, 37997, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 84, United-States, >50K +42, Private, 257328, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 127610, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K +22, ?, 139324, 9th, 5, Never-married, ?, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K +47, Private, 164423, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +50, Private, 104501, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K +30, Private, 56121, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 296212, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 157640, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +44, Private, 222504, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, >50K +34, Private, 261023, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1651, 38, United-States, <=50K +52, Private, 146567, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 14344, 0, 40, United-States, >50K +34, Private, 116910, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, Private, 132601, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 185537, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +22, Private, 500720, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K +42, Private, 182108, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +37, Private, 231491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +36, Self-emp-not-inc, 239415, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +38, Private, 179262, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +72, Without-pay, 121004, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, United-States, <=50K +40, Private, 252392, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +19, Private, 163578, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +55, Private, 143266, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Hungary, >50K +30, Private, 285902, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 113094, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Female, 0, 1092, 40, United-States, <=50K +29, Private, 278637, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 45, United-States, >50K +41, Private, 174540, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 4, United-States, <=50K +29, Private, 188729, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +24, Private, 72143, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +46, Self-emp-not-inc, 328216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +44, Private, 165815, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +17, Private, 317702, 10th, 6, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K +35, Private, 215323, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +38, Private, 192939, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 156352, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 155066, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K +38, Self-emp-not-inc, 152621, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K +19, Private, 298891, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, Honduras, <=50K +30, Private, 193298, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +36, Local-gov, 150309, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +27, Private, 384308, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 305647, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +66, ?, 182378, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K +65, Federal-gov, 23494, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 2174, 40, United-States, >50K +37, Private, 421633, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K +17, Private, 57723, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K +19, ?, 307837, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 103540, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K +54, Self-emp-not-inc, 136224, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +21, Private, 231573, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 242804, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 163671, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 287701, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K +31, Private, 187560, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +41, Private, 222504, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +20, Private, 41356, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 59335, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 15, United-States, <=50K +62, Private, 84756, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K +41, Private, 407425, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 162424, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, Self-emp-not-inc, 175456, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 52603, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 250630, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +46, Self-emp-not-inc, 233974, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +28, Private, 376302, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +50, Private, 195638, 10th, 6, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 225775, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K +84, Private, 388384, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 10, United-States, <=50K +48, Self-emp-not-inc, 219021, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +61, Self-emp-not-inc, 168654, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +44, Private, 180609, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +32, Private, 114746, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female, 0, 0, 60, South, <=50K +25, Private, 178037, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K +47, State-gov, 160045, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 268524, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +37, Private, 174844, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 17, United-States, <=50K +28, Private, 82488, HS-grad, 9, Divorced, Tech-support, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +34, Private, 221167, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +32, Self-emp-not-inc, 48014, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 217226, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +22, ?, 177902, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, United-States, <=50K +30, Private, 39386, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 99, United-States, <=50K +56, Private, 37394, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 115426, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 114158, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 26, United-States, <=50K +40, Private, 119101, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 68, United-States, >50K +28, Private, 360527, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 225544, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 108438, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 230315, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Dominican-Republic, <=50K +32, Private, 158002, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 55, Ecuador, <=50K +37, Private, 179468, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +71, Private, 99894, 5th-6th, 3, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 75, United-States, <=50K +30, Private, 270889, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 42279, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +53, Federal-gov, 167380, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 50, United-States, <=50K +42, Private, 274913, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +44, Private, 35910, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 56, United-States, >50K +26, Private, 68001, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 27162, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K +37, Self-emp-not-inc, 286146, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Local-gov, 95462, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 50103, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 511668, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 43, United-States, >50K +38, Self-emp-inc, 189679, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Private, 115064, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, State-gov, 215443, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 38, United-States, <=50K +32, Private, 174789, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 91999, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +59, Federal-gov, 100931, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Self-emp-not-inc, 119069, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 277488, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 84, United-States, <=50K +35, Private, 265662, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 114591, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K +24, Private, 227594, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +30, Private, 129707, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K +61, ?, 175032, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 133569, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +20, Local-gov, 308654, Some-college, 10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K +36, Private, 156084, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Federal-gov, 380127, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 210781, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 189759, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K +34, Private, 258675, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 223367, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +42, ?, 204817, 9th, 5, Never-married, ?, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +23, Private, 409230, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +46, Federal-gov, 308077, Prof-school, 15, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Germany, >50K +60, Private, 159049, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, Germany, >50K +40, Private, 353142, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +55, Private, 143030, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 304857, Masters, 14, Separated, Tech-support, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K +28, Private, 30912, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 43, United-States, <=50K +55, Private, 125000, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +47, Private, 181363, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 338620, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K +32, Private, 115989, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 60, United-States, <=50K +38, Private, 111128, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +61, Self-emp-not-inc, 201273, Some-college, 10, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +62, Self-emp-inc, 137354, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +29, Private, 133420, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +26, Private, 192208, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K +19, Private, 220001, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 352612, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 169426, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K +42, Private, 319016, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2885, 0, 45, United-States, <=50K +55, Private, 119751, Masters, 14, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Thailand, <=50K +55, Private, 202220, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 2407, 0, 35, United-States, <=50K +43, Self-emp-not-inc, 99220, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 111275, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Federal-gov, 261241, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 261725, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +36, Private, 182013, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 40666, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 216461, Some-college, 10, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +60, Private, 320376, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 282951, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +36, State-gov, 166697, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 290856, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 455361, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K +51, Private, 82783, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 56536, 11th, 7, Never-married, Sales, Own-child, White, Female, 1055, 0, 18, India, <=50K +33, Self-emp-not-inc, 109959, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K +50, Private, 177927, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 192337, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 236272, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +26, Private, 33610, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 209483, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 47, United-States, <=50K +26, Private, 247006, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, <=50K +30, Local-gov, 311913, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +39, ?, 204756, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +33, Local-gov, 300681, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +42, State-gov, 24264, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 38, United-States, <=50K +28, Private, 266070, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +20, Private, 226978, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +66, Local-gov, 362165, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, Black, Female, 0, 2206, 25, United-States, <=50K +31, Private, 341672, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K +36, Private, 179488, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, Canada, <=50K +39, Federal-gov, 243872, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +52, Private, 259583, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 159822, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, Poland, >50K +27, Private, 219863, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 206947, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +21, Private, 245572, 9th, 5, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +25, Private, 38488, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 182504, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +38, Private, 193815, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, Italy, <=50K +51, ?, 521665, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K +29, Private, 46442, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 50, United-States, >50K +45, Private, 60267, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +59, Private, 264357, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 191814, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 107882, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 174575, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +17, Private, 143331, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +32, Private, 126132, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +42, Private, 198619, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 211287, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 40, United-States, >50K +55, Federal-gov, 238192, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 40, United-States, >50K +43, Private, 257780, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 183355, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 148429, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 71221, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +21, Self-emp-not-inc, 236769, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 32146, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 347491, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1876, 46, United-States, <=50K +34, Private, 180714, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 2179, 40, United-States, <=50K +57, ?, 188877, 9th, 5, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 306747, Bachelors, 13, Divorced, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +21, State-gov, 478457, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 12, United-States, <=50K +25, Private, 248990, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +51, Self-emp-inc, 46281, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +35, Private, 148015, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +19, Private, 278115, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +27, Private, 190525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K +34, Private, 176673, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +33, ?, 202366, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +36, Private, 238415, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 37939, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +60, Self-emp-not-inc, 35649, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 383493, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +47, Federal-gov, 204900, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K +42, Private, 20809, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 75, United-States, >50K +34, Private, 148207, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +21, Private, 200153, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K +30, Private, 169496, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 15, United-States, >50K +53, Private, 22978, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +34, Private, 366898, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K +37, Private, 324947, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 321577, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 241360, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 207564, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 220860, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +41, Local-gov, 336571, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, State-gov, 56402, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +65, Private, 180280, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 81282, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 86332, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 4064, 0, 55, United-States, <=50K +30, Local-gov, 27051, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 287647, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 4787, 0, 45, United-States, >50K +37, Self-emp-not-inc, 183735, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3137, 0, 30, United-States, <=50K +42, Private, 100800, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 155094, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K +67, ?, 102693, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 1086, 0, 35, United-States, <=50K +31, Private, 151053, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K +50, Private, 548361, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, >50K +33, Private, 173858, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +27, Private, 347153, Some-college, 10, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 319146, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, Mexico, >50K +35, Private, 197719, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +55, Private, 197114, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 6, United-States, >50K +54, Self-emp-not-inc, 109418, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 35, United-States, >50K +56, Private, 182062, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K +21, Private, 184543, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, Private, 175558, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, Germany, <=50K +46, Private, 122026, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 340543, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +43, Private, 101950, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +40, Private, 179508, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K +52, Private, 225317, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +59, Local-gov, 53304, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Local-gov, 282602, Assoc-voc, 11, Separated, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 184016, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 250165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 196467, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +59, ?, 220783, 10th, 6, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 178780, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +62, Private, 65868, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +54, Private, 35459, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 98986, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 282092, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 140764, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 45, United-States, <=50K +30, Private, 33124, HS-grad, 9, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 14, United-States, <=50K +46, Private, 90042, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 102986, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, >50K +21, Private, 214387, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 64, United-States, <=50K +39, Private, 180667, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 278329, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +32, Private, 184440, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, United-States, <=50K +23, Private, 140462, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 202565, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, <=50K +62, ?, 181063, 10th, 6, Widowed, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +28, Private, 287268, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +28, Private, 215955, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 82552, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 41745, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 73587, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +54, Private, 263925, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 196119, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +27, Private, 284741, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +30, Private, 293936, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, ?, <=50K +35, Private, 340428, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +66, ?, 175891, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Local-gov, 276973, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K +30, Private, 161599, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 144064, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 236391, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 224943, Assoc-voc, 11, Never-married, Sales, Other-relative, Black, Male, 0, 0, 65, United-States, <=50K +44, Private, 151294, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +52, Private, 68982, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +30, Private, 241885, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 189461, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +19, Self-emp-not-inc, 36012, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 85355, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 157595, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 197286, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 362747, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K +24, Private, 395297, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +31, Self-emp-not-inc, 144949, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +20, ?, 163665, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 141490, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +29, Private, 147889, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 232808, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +48, Private, 70668, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, United-States, <=50K +29, Federal-gov, 33315, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, ?, 63526, 12th, 8, Never-married, ?, Not-in-family, Black, Male, 0, 0, 52, United-States, <=50K +34, Private, 591711, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 48, ?, <=50K +22, Private, 200318, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +32, Private, 97723, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K +38, Private, 109231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 102889, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 167106, HS-grad, 9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K +35, Private, 182898, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +62, Private, 197918, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 67386, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 126592, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 49469, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K +37, Self-emp-not-inc, 119929, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 158199, 1st-4th, 2, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 44, Portugal, <=50K +35, Private, 341102, 9th, 5, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +55, Private, 101524, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 202872, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +25, Private, 195201, HS-grad, 9, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 50, United-States, <=50K +51, Private, 128272, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 263094, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +54, Self-emp-inc, 357596, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K +47, Local-gov, 102628, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 171114, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 216414, Assoc-voc, 11, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 127753, 12th, 8, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 282698, 7th-8th, 4, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 80, United-States, <=50K +35, Private, 139364, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +36, Local-gov, 312785, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +18, Private, 92864, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +46, Local-gov, 175428, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 104223, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +29, Private, 144784, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +65, Private, 178934, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, Jamaica, <=50K +41, Private, 211253, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +34, Private, 133122, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 103540, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 172700, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 282484, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 323055, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +33, State-gov, 291494, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +28, Private, 214702, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 116055, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 2977, 0, 35, United-States, <=50K +32, Private, 226696, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +31, Private, 216827, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 153132, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +48, Private, 307440, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 45, Philippines, >50K +27, Private, 278122, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 122195, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-not-inc, 156890, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 36877, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K +25, Private, 131178, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 23, United-States, <=50K +34, Self-emp-inc, 62396, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 62, United-States, >50K +33, Private, 73054, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 96844, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +22, Private, 324922, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +61, Private, 130684, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K +40, Private, 178983, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, >50K +58, Private, 81038, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K +30, Private, 151967, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, <=50K +24, Private, 278107, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K +52, Self-emp-not-inc, 183146, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Private, 183638, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 247892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 30, United-States, <=50K +22, Private, 221480, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 118551, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, ?, >50K +21, Private, 518530, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 193787, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 50, United-States, <=50K +34, Self-emp-inc, 157466, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +48, Private, 141511, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +61, ?, 158712, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K +21, Private, 252253, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 200450, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 52, United-States, <=50K +30, State-gov, 343789, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 277647, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +44, Private, 291566, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K +29, Private, 151382, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 221167, Prof-school, 15, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +35, Private, 196178, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 302422, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 37379, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +37, Self-emp-not-inc, 82540, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K +33, Self-emp-not-inc, 182926, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +44, Private, 159911, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 55, United-States, <=50K +34, Private, 212781, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Local-gov, 207213, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 5, United-States, <=50K +30, Private, 200192, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K +41, Local-gov, 180096, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +23, Private, 192812, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 105908, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 70, United-States, <=50K +48, Private, 373366, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3781, 0, 50, Mexico, <=50K +26, State-gov, 234190, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +32, Private, 260868, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K +26, Private, 109097, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +36, Private, 171393, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 55, United-States, >50K +49, Private, 209146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, ?, 289046, HS-grad, 9, Divorced, ?, Not-in-family, Black, Male, 0, 1741, 40, United-States, <=50K +54, Private, 172281, Masters, 14, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +36, Private, 73023, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +41, Private, 122626, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 48, United-States, <=50K +27, Private, 113635, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +68, ?, 257269, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2377, 35, United-States, >50K +21, ?, 191806, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 75, United-States, <=50K +56, ?, 35723, HS-grad, 9, Divorced, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 30759, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +46, Private, 105327, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, ?, 376058, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K +43, Private, 219307, 9th, 5, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +46, Private, 208067, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 78631, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +19, Private, 210308, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +67, Local-gov, 190661, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 7896, 0, 50, United-States, >50K +31, Private, 594187, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 228476, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +21, Private, 126613, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 30267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 216811, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 16, United-States, <=50K +62, Local-gov, 115763, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +31, Local-gov, 199368, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 50, United-States, >50K +52, Private, 159755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +39, Self-emp-not-inc, 188335, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 417668, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K +55, ?, 141807, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 13550, 0, 40, United-States, >50K +38, Private, 296317, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +36, Private, 164898, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 452406, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K +27, Private, 42696, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 262994, Some-college, 10, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 167298, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 103529, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +47, Private, 97883, Bachelors, 13, Widowed, Priv-house-serv, Unmarried, White, Female, 25236, 0, 35, United-States, >50K +49, State-gov, 269417, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2258, 50, United-States, >50K +34, Private, 199539, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +19, ?, 39460, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K +79, Federal-gov, 62176, Doctorate, 16, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 6, United-States, >50K +28, State-gov, 239130, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 151089, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 331611, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +31, Self-emp-not-inc, 203463, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 151518, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Self-emp-inc, 39844, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 299635, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, <=50K +67, Private, 123393, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 209538, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +35, Self-emp-not-inc, 238802, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 499197, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 200220, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 114059, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +18, Private, 434430, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 185385, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 24, United-States, <=50K +22, Private, 225156, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 377931, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 48, United-States, <=50K +27, ?, 133359, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 50, ?, <=50K +28, Private, 226891, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 30, ?, <=50K +32, Private, 201988, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 4508, 0, 40, ?, <=50K +40, Private, 287008, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, Germany, >50K +23, Private, 151910, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 1719, 40, United-States, <=50K +25, Private, 231714, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 178510, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 2258, 60, United-States, <=50K +43, Private, 178866, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, >50K +31, Private, 110643, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K +33, Private, 148261, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 217902, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Self-emp-not-inc, 77207, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +32, ?, 377017, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +78, Private, 184759, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 1797, 0, 15, United-States, <=50K +64, Self-emp-inc, 80333, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Private, 265086, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +55, ?, 102058, 12th, 8, Widowed, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +20, Private, 333843, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 296478, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Local-gov, 116662, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 353298, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 50, United-States, >50K +42, Private, 142424, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Local-gov, 200808, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, Puerto-Rico, <=50K +29, Private, 119052, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 168981, 1st-4th, 2, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K +44, Private, 151780, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +70, Private, 237065, 5th-6th, 3, Widowed, Other-service, Other-relative, White, Female, 2346, 0, 40, ?, <=50K +25, Private, 509866, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 78, United-States, <=50K +24, State-gov, 249385, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 10, United-States, <=50K +42, State-gov, 109462, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Black, Female, 2977, 0, 40, United-States, <=50K +53, Private, 250034, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K +39, Private, 249720, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K +72, Self-emp-not-inc, 258761, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-inc, 64048, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 44, Portugal, <=50K +25, State-gov, 153534, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 193815, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +27, Private, 255582, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 204527, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +64, Self-emp-not-inc, 159938, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 24, Italy, <=50K +29, Self-emp-not-inc, 229341, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +50, Private, 128143, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 175479, 5th-6th, 3, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +18, Private, 301814, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +20, Private, 238917, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 32, Mexico, <=50K +32, Private, 205581, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +45, Private, 340341, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 147860, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 0, 0, 40, United-States, <=50K +20, ?, 121023, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 259496, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Federal-gov, 190228, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 48, United-States, >50K +43, Private, 180599, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Male, 8614, 0, 40, United-States, >50K +44, Private, 116358, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +47, Self-emp-not-inc, 180446, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K +47, Private, 264244, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +46, Local-gov, 197988, 1st-4th, 2, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K +19, Private, 206599, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 313146, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 99212, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 340599, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 62932, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 44861, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 53893, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Self-emp-inc, 152810, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 45, United-States, >50K +47, Local-gov, 128401, Doctorate, 16, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 336951, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +60, Self-emp-not-inc, 95445, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3137, 0, 46, United-States, <=50K +43, Private, 54611, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 315984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K +28, Private, 210313, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +19, Private, 181020, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +51, Self-emp-not-inc, 120781, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 99999, 0, 70, India, >50K +19, Private, 256979, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +64, Private, 47298, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +44, Private, 125461, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +21, Private, 209955, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +33, Private, 182246, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 76860, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +44, ?, 91949, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +44, Local-gov, 136986, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K +28, Federal-gov, 183445, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 70, Puerto-Rico, <=50K +24, Private, 130741, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Federal-gov, 191878, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +21, ?, 233923, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 24, United-States, <=50K +20, Private, 48121, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 304302, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +34, Federal-gov, 284703, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 52, United-States, <=50K +17, Private, 401198, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +35, Private, 243357, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +26, Private, 32276, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 110538, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +25, Private, 257310, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 411950, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 392668, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Self-emp-not-inc, 52498, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +36, Private, 223433, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +37, Private, 87076, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 224854, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 193379, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +54, Private, 98436, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, ?, 116632, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K +65, Self-emp-inc, 210381, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 65, United-States, >50K +44, Private, 90688, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, Laos, <=50K +61, Private, 229744, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +29, Private, 59732, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +34, Private, 192900, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +24, State-gov, 90046, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K +40, Private, 272960, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K +42, Self-emp-inc, 152071, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Cuba, >50K +50, Private, 301583, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 171964, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 1602, 20, United-States, <=50K +49, Private, 315984, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 241962, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 131591, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 45, United-States, <=50K +70, Self-emp-inc, 207938, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K +51, Private, 53197, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 121023, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 287229, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +22, Private, 163911, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +31, Private, 191834, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 204734, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 220978, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 365739, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 50103, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 283293, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 194534, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 99999, 0, 60, United-States, >50K +19, Private, 263338, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +36, ?, 504871, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 348592, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K +28, Private, 173944, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 226135, 9th, 5, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K +32, Private, 172375, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +57, Self-emp-inc, 127728, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K +47, Private, 347025, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 191335, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K +21, Private, 247779, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K +25, State-gov, 262664, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 95855, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 74501, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +43, Private, 245317, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +61, Private, 29059, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 2754, 25, United-States, <=50K +56, Private, 200316, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K +35, Private, 198341, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +59, Private, 100453, 7th-8th, 4, Separated, Other-service, Own-child, Black, Female, 0, 0, 38, United-States, <=50K +44, Self-emp-not-inc, 343190, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 55, United-States, >50K +47, Private, 235683, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 83237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +64, Private, 88470, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 198801, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 168107, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 196193, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +30, ?, 205418, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K +46, Private, 695411, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +45, Self-emp-inc, 139268, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Federal-gov, 192771, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +59, Self-emp-inc, 122390, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K +65, Self-emp-inc, 184965, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K +23, Private, 180837, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 159548, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +34, Private, 110554, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +38, Private, 103474, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +62, Private, 178249, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +21, Private, 138768, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 321824, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K +35, Private, 244803, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Peru, <=50K +62, Local-gov, 206063, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 167651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +69, State-gov, 163689, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K +19, Self-emp-not-inc, 45546, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K +47, Private, 420986, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Self-emp-inc, 68015, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 90, United-States, >50K +54, Private, 175594, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, ?, 148673, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K +30, Private, 206322, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 73, United-States, >50K +39, Private, 272338, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, <=50K +73, Private, 105886, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 1173, 0, 75, United-States, <=50K +64, Private, 312498, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 177675, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 152810, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 319122, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 212304, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 208321, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1740, 40, United-States, <=50K +39, Private, 240841, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +49, Private, 208978, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 16, United-States, <=50K +23, Local-gov, 442359, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1092, 40, United-States, <=50K +28, Private, 198197, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +46, Private, 261059, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +40, Private, 72791, Some-college, 10, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +24, Private, 275395, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, ?, 195767, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 462966, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 8, El-Salvador, <=50K +24, ?, 265434, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 31269, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Local-gov, 246291, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K +54, Federal-gov, 128378, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 231180, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Local-gov, 206297, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Self-emp-inc, 337050, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 193075, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +33, Local-gov, 169652, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 0, 1669, 55, United-States, <=50K +35, Private, 35945, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +20, ?, 141453, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K +36, Private, 252231, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, Puerto-Rico, <=50K +30, Private, 128016, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +39, Private, 150057, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +25, Private, 258276, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +40, Private, 188465, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +25, Self-emp-inc, 161007, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 403468, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Mexico, <=50K +53, Federal-gov, 181677, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 120243, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +41, Private, 157025, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 306908, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +66, Self-emp-not-inc, 28061, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +53, Private, 95540, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K +27, Private, 135001, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 293398, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 185106, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 245790, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +26, Private, 134004, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 205036, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +26, Private, 244495, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +38, Private, 159179, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 405155, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +34, Private, 177437, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K +32, Federal-gov, 402361, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 184553, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 302626, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 99138, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +39, Private, 112731, HS-grad, 9, Divorced, Other-service, Not-in-family, Other, Female, 0, 0, 40, Dominican-Republic, <=50K +35, Private, 192923, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2377, 40, United-States, <=50K +18, Private, 761006, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +75, ?, 125784, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +28, Private, 182344, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 117012, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +39, Federal-gov, 30673, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Federal-gov, 484669, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, State-gov, 314052, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +43, State-gov, 38537, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 38, ?, <=50K +27, Private, 165412, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 198341, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 55, India, >50K +46, Private, 116635, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K +20, Private, 185452, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 118686, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +69, Private, 76939, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Federal-gov, 160646, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K +49, State-gov, 126754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K +20, Private, 211049, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K +52, Private, 311931, 5th-6th, 3, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, El-Salvador, <=50K +33, Private, 283602, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 59, Mexico, <=50K +18, Private, 155021, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K +55, Self-emp-not-inc, 100569, HS-grad, 9, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +61, Private, 380462, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K +61, Federal-gov, 221943, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 9386, 0, 40, United-States, >50K +39, Private, 114544, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K +30, Private, 248584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 227468, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +36, Private, 66173, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K +34, Private, 107624, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +53, Private, 70387, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 4386, 0, 40, India, >50K +38, Private, 423616, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 36, United-States, >50K +46, Private, 98637, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +27, Local-gov, 216013, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 210926, 11th, 7, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, Nicaragua, <=50K +60, Local-gov, 255711, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, >50K +23, Private, 77581, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 152461, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 14344, 0, 50, United-States, >50K +22, Private, 203263, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 261519, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 91189, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +90, Federal-gov, 195433, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K +37, Local-gov, 272471, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 311524, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 38, United-States, <=50K +18, Private, 151386, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, Black, Male, 0, 0, 40, Jamaica, <=50K +35, Private, 187625, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +50, Private, 108933, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K +54, Private, 135388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +43, Private, 169383, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Self-emp-inc, 191129, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K +51, Private, 467611, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +31, Private, 373185, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 42, Mexico, <=50K +69, Private, 130060, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 2387, 0, 40, United-States, <=50K +57, Private, 199934, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +71, ?, 116165, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 14, Canada, <=50K +28, Private, 42881, 10th, 6, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, ?, 174666, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +25, Private, 169759, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 95, United-States, <=50K +49, Self-emp-not-inc, 181547, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Columbia, <=50K +52, Private, 95704, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 237432, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +32, Private, 226267, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K +31, Private, 159979, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K +30, Private, 203488, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 403671, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 192323, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 66, Yugoslavia, <=50K +30, Private, 167832, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 145166, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +42, State-gov, 155657, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K +49, Private, 116789, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 39234, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +25, Private, 124111, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 172828, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, Outlying-US(Guam-USVI-etc), <=50K +55, Private, 143372, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 265807, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 50, United-States, <=50K +25, State-gov, 218184, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +32, Private, 154087, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Federal-gov, 440647, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 193952, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, ?, <=50K +52, Private, 125932, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 284652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +21, ?, 214635, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, United-States, <=50K +43, Private, 173316, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 65390, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K +40, Self-emp-inc, 45054, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 185042, 1st-4th, 2, Separated, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K +35, Private, 117381, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 258666, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K +35, Private, 179668, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 127277, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K +26, Private, 192022, Bachelors, 13, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 99551, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +51, Private, 208899, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 287658, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 30, Jamaica, <=50K +31, Private, 196125, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 275051, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K +38, Private, 23892, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +39, Federal-gov, 376455, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K +29, Private, 267989, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +39, Private, 30269, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 204235, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +46, Local-gov, 209057, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +73, Private, 349347, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K +47, Local-gov, 154033, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K +28, Private, 124680, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 70, United-States, <=50K +27, Private, 132805, 10th, 6, Never-married, Sales, Other-relative, White, Male, 0, 1980, 40, United-States, <=50K +38, Private, 99233, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +19, Private, 224849, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +60, Local-gov, 101110, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, >50K +24, Private, 184839, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 302847, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 181322, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +26, Local-gov, 192213, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K +28, State-gov, 37250, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 16, United-States, <=50K +38, Self-emp-inc, 140854, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +47, Private, 158286, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Private, 269095, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K +27, Private, 279960, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 176239, Some-college, 10, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 115360, 10th, 6, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 3464, 0, 40, United-States, <=50K +49, Private, 337666, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +68, ?, 255276, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, >50K +63, Private, 145212, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 185099, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K +42, Private, 142756, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +28, Private, 156300, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K +68, ?, 186266, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, <=50K +38, Private, 219137, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 22, United-States, <=50K +43, Private, 110970, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +49, Private, 203067, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Private, 148844, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 154941, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 124111, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +59, Private, 157303, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +34, Private, 113838, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +34, Private, 165737, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 43, India, >50K +67, Private, 140849, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K +45, Private, 200363, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +64, Private, 180247, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +51, Private, 82578, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, Canada, >50K +31, Private, 227146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +42, Self-emp-inc, 348886, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +65, Private, 90907, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +23, Private, 142766, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 246439, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 184784, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Local-gov, 195262, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +63, Private, 167967, Masters, 14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 46, United-States, <=50K +48, Private, 145636, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K +45, Local-gov, 170099, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +17, Private, 228253, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K +26, Local-gov, 205570, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Federal-gov, 506830, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 412435, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K +44, Private, 163331, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +43, Federal-gov, 222756, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 318918, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 105188, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Haiti, <=50K +23, Private, 199884, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +19, Private, 96483, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 192203, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K +52, Private, 203392, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K +32, Private, 99646, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, Private, 167440, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 4508, 0, 40, United-States, <=50K +25, ?, 210095, 5th-6th, 3, Never-married, ?, Unmarried, White, Female, 0, 0, 25, El-Salvador, <=50K +44, Private, 219591, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 30270, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 226020, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 60, ?, <=50K +21, Private, 314165, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, Columbia, <=50K +32, Private, 330715, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Self-emp-not-inc, 35448, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +50, State-gov, 172970, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +26, Self-emp-inc, 189502, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K +35, Private, 61518, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K +31, Private, 574005, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K +24, Private, 281356, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 66, Mexico, <=50K +40, Private, 138975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K +31, Private, 176969, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +43, Private, 132393, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Poland, <=50K +44, Private, 194924, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K +40, Private, 478205, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +75, ?, 128224, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +52, Local-gov, 30118, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3137, 0, 42, United-States, <=50K +51, Self-emp-not-inc, 290688, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 85566, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 121874, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +40, Self-emp-not-inc, 29036, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +33, Private, 348152, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Local-gov, 73715, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K +29, Private, 151382, Assoc-voc, 11, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 236359, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K +37, Private, 19899, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K +19, Private, 138760, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Local-gov, 354962, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +46, Private, 181363, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 393360, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +34, Private, 210736, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K +38, Private, 110013, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +26, Private, 193304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 118551, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +57, Private, 201991, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 157446, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +26, Local-gov, 283217, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 247794, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 84, United-States, <=50K +38, Private, 43712, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 60, United-States, >50K +61, Private, 35649, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 6, United-States, <=50K +36, Self-emp-not-inc, 342719, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, >50K +61, ?, 71467, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3103, 0, 40, United-States, >50K +17, Private, 271837, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 16, United-States, <=50K +40, Private, 400061, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, United-States, >50K +18, Private, 62972, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +21, Private, 174907, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K +41, Private, 176452, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Peru, <=50K +46, Private, 268358, 11th, 7, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Federal-gov, 176904, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 176683, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +39, Private, 98077, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K +36, Private, 266461, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 48, United-States, <=50K +51, Private, 312477, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 40, United-States, <=50K +27, Private, 604045, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Local-gov, 131568, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 97688, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K +23, Private, 373628, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +56, Private, 367984, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +41, Self-emp-not-inc, 193459, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +49, Private, 250733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K +46, Federal-gov, 199725, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 60, United-States, <=50K +54, Private, 156877, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Greece, <=50K +38, Private, 122076, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 43, United-States, >50K +45, Self-emp-not-inc, 216402, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K +50, Self-emp-not-inc, 42402, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 30, United-States, >50K +22, Private, 315974, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 63437, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K +27, Private, 160786, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +34, Private, 85374, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 465974, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 78529, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +36, State-gov, 98037, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +22, Private, 178390, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 210940, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2002, 45, United-States, <=50K +43, Private, 64506, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +54, Private, 128378, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 234460, 9th, 5, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, Dominican-Republic, <=50K +29, Private, 176760, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K +40, State-gov, 59460, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +18, Private, 234428, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +31, Private, 215047, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +57, Private, 140426, Doctorate, 16, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, Germany, >50K +32, Private, 191777, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 148995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 229773, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +24, Private, 174461, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K +24, Private, 250647, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +49, Local-gov, 119904, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 30, United-States, >50K +27, Self-emp-not-inc, 151402, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1573, 70, United-States, <=50K +37, Private, 184556, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 263561, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +19, Private, 177945, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K +45, Private, 306889, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +54, Local-gov, 54377, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 144351, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 625, 40, United-States, <=50K +22, Private, 95566, Some-college, 10, Married-spouse-absent, Sales, Own-child, Other, Female, 0, 0, 22, Dominican-Republic, <=50K +20, Private, 181675, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 172129, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, ?, 350759, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 105592, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +20, ?, 200061, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, ?, <=50K +34, Self-emp-inc, 200689, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 386726, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 44, United-States, >50K +28, Local-gov, 135567, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 4101, 0, 60, United-States, <=50K +38, Local-gov, 282753, Assoc-voc, 11, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 137367, 11th, 7, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +35, Self-emp-inc, 153976, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +51, Self-emp-inc, 96062, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +33, Private, 152933, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +71, Private, 97870, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, Germany, <=50K +48, Private, 254291, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Self-emp-not-inc, 101432, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 125776, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +64, Self-emp-not-inc, 165479, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 5, United-States, <=50K +42, Federal-gov, 172307, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K +25, Private, 176729, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +66, Private, 174276, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 50, United-States, >50K +59, Federal-gov, 48102, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, ?, >50K +42, Self-emp-not-inc, 79531, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +24, Private, 306460, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 55284, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K +26, Private, 172063, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K +22, Private, 141028, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +33, Private, 37274, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, Private, 31389, 11th, 7, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K +20, Private, 415913, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +33, Private, 295591, 5th-6th, 3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +57, ?, 202903, 7th-8th, 4, Married-civ-spouse, ?, Wife, White, Female, 1173, 0, 45, Puerto-Rico, <=50K +56, Private, 159770, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +70, Self-emp-not-inc, 268832, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, United-States, >50K +42, Private, 126003, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +25, Local-gov, 225193, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 297735, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +80, Self-emp-not-inc, 225892, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 1409, 0, 40, United-States, <=50K +36, Private, 605502, 10th, 6, Never-married, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 174150, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 165466, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, >50K +52, State-gov, 189728, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +49, Private, 360491, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 115040, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 262688, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 7688, 0, 50, United-States, >50K +70, Self-emp-inc, 158437, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K +55, Private, 41108, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 2258, 62, United-States, >50K +25, Private, 149875, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 131916, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Italy, >50K +22, Private, 60668, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 153132, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +62, Private, 155256, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +54, Private, 244770, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 312108, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +52, Private, 102828, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +36, Private, 93225, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +74, Self-emp-inc, 231002, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K +35, Self-emp-not-inc, 256992, 5th-6th, 3, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, Mexico, <=50K +41, Private, 118721, 12th, 8, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +30, Private, 151989, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 109112, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +35, Private, 589809, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 60, United-States, >50K +38, Private, 172538, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +34, State-gov, 318982, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1848, 40, United-States, >50K +48, Private, 204629, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Self-emp-not-inc, 99894, 5th-6th, 3, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K +19, Private, 369463, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 79324, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 61178, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 204226, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 183110, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K +42, Private, 96321, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Private, 167031, Some-college, 10, Never-married, Other-service, Other-relative, Other, Female, 0, 0, 25, Ecuador, <=50K +36, Private, 108997, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +65, Private, 176796, Doctorate, 16, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 134737, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, >50K +33, Self-emp-inc, 49795, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +32, State-gov, 131588, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +25, Private, 307643, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 351350, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 260761, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +72, Private, 156310, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 2414, 0, 12, United-States, <=50K +36, Private, 207789, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +67, Self-emp-not-inc, 252842, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1797, 0, 20, United-States, <=50K +28, Private, 294936, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 4064, 0, 45, United-States, <=50K +24, Private, 196269, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, United-States, <=50K +17, Private, 46402, 7th-8th, 4, Never-married, Sales, Own-child, White, Male, 0, 0, 8, United-States, <=50K +32, Self-emp-not-inc, 267161, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +67, Private, 160456, 11th, 7, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, ?, 123983, Some-college, 10, Never-married, ?, Other-relative, Asian-Pac-Islander, Male, 0, 0, 10, Vietnam, <=50K +51, Private, 123053, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 5013, 0, 40, India, <=50K +32, Private, 426467, 1st-4th, 2, Never-married, Craft-repair, Not-in-family, White, Male, 3674, 0, 40, Guatemala, <=50K +39, Private, 269323, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Self-emp-not-inc, 42857, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +50, Self-emp-not-inc, 183915, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Private, 211391, 10th, 6, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +21, Local-gov, 193130, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 86745, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 16, United-States, <=50K +34, Private, 226525, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +68, ?, 270339, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K +49, Self-emp-not-inc, 343742, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K +50, Private, 150975, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +33, Private, 207301, Assoc-acdm, 12, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 135924, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 184277, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 55, United-States, >50K +20, Private, 142233, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +46, Self-emp-inc, 120902, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 37, United-States, >50K +64, Local-gov, 158412, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 126161, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 149347, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +21, Private, 322674, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K +29, Private, 55390, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +38, State-gov, 200904, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 30, United-States, >50K +45, Private, 166056, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 116666, Masters, 14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K +41, Private, 168324, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +37, Private, 121772, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K +45, Private, 126889, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 60, United-States, >50K +20, ?, 401690, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +45, Self-emp-inc, 117605, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +20, Federal-gov, 410446, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +63, Self-emp-inc, 38472, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 14084, 0, 60, United-States, >50K +35, Self-emp-not-inc, 335704, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 70261, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 47577, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 117767, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +34, Private, 179641, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +23, ?, 343553, 11th, 7, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 328466, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, Mexico, >50K +46, Private, 265097, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 5, United-States, <=50K +38, Local-gov, 414791, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +55, Local-gov, 48055, 12th, 8, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 341672, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +48, Private, 266764, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +35, Private, 233571, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K +53, Private, 126592, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 40, United-States, >50K +47, Private, 70754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 138852, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 4650, 0, 22, United-States, <=50K +32, Private, 175856, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 193494, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 46, United-States, <=50K +41, Private, 104334, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +47, Federal-gov, 197332, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 205844, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 25, United-States, <=50K +45, Local-gov, 206459, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K +33, Private, 202822, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 14, Trinadad&Tobago, <=50K +68, Without-pay, 174695, Some-college, 10, Married-spouse-absent, Farming-fishing, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +44, Private, 183342, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +49, Private, 105614, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 329603, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Poland, >50K +41, Private, 77373, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1848, 65, United-States, >50K +29, Private, 207473, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K +46, Private, 149161, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, ?, <=50K +19, Private, 311974, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 25, Mexico, <=50K +56, Private, 175127, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 111625, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, Private, 48895, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 27049, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +38, Private, 108907, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K +52, Private, 94988, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 218343, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 227626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K +31, Private, 272856, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 50, England, <=50K +39, Private, 30916, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 276229, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 289106, Assoc-acdm, 12, Separated, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 39100, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 5, United-States, <=50K +45, Private, 192776, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 55, United-States, >50K +61, Private, 147280, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +18, Private, 187770, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +51, State-gov, 213296, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 107410, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, ?, 170272, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +32, Private, 86808, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K +48, Private, 149210, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K +62, Private, 123411, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 53, United-States, <=50K +21, ?, 306779, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 487347, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 283945, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 1602, 45, United-States, <=50K +20, Private, 375698, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +41, Private, 271753, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 251854, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 264052, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +43, State-gov, 28451, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K +20, Private, 282604, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +29, Private, 185908, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 55, United-States, >50K +51, Federal-gov, 198186, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 242521, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 337940, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 212064, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 129263, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +68, Local-gov, 144761, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Male, 0, 1668, 20, United-States, <=50K +42, Private, 109912, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +41, Private, 113324, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 187795, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +20, Private, 173724, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +43, Private, 185129, Bachelors, 13, Divorced, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 73134, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K +45, Private, 236040, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 74194, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 102130, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 140915, Some-college, 10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K +69, ?, 107575, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 2964, 0, 35, United-States, <=50K +38, State-gov, 34364, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 258037, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, Cuba, >50K +18, Private, 391585, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 233130, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Mexico, <=50K +30, Private, 101345, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 3103, 0, 55, United-States, >50K +23, ?, 32897, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 248612, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K +37, Private, 212465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 198587, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Female, 2174, 0, 50, United-States, <=50K +33, Private, 405913, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Peru, >50K +37, Private, 588003, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +31, Private, 46807, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 210498, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K +35, Private, 206951, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Self-emp-not-inc, 237466, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, >50K +59, Private, 279636, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, Guatemala, <=50K +42, Private, 29320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 271262, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +27, ?, 29361, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +32, Private, 76773, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 109004, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +43, Private, 226902, Bachelors, 13, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 176552, 11th, 7, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K +41, Private, 182303, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +59, Local-gov, 296253, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 8614, 0, 60, United-States, >50K +20, Private, 218215, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +57, Private, 165695, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K +46, Self-emp-not-inc, 51271, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4386, 0, 70, United-States, <=50K +45, Private, 96100, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Local-gov, 82393, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Male, 0, 1590, 45, United-States, <=50K +23, Private, 248978, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +46, Private, 254367, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1590, 48, United-States, <=50K +55, ?, 200235, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +58, Private, 94429, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 87282, Assoc-voc, 11, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +29, Private, 119793, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +57, ?, 85815, HS-grad, 9, Divorced, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K +26, Local-gov, 197764, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 306982, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +61, Private, 80896, HS-grad, 9, Separated, Transport-moving, Unmarried, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K +31, Private, 197886, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K +43, Private, 355728, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 121124, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K +51, State-gov, 193720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K +23, Private, 347292, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 34506, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 326370, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, ?, <=50K +22, ?, 269221, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 63509, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 148254, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 16, United-States, >50K +33, Private, 190511, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +46, Private, 268022, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, ?, >50K +18, Private, 20057, 7th-8th, 4, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +52, Private, 206862, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 189498, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 45, United-States, >50K +28, Private, 166320, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 289886, Some-college, 10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, Vietnam, <=50K +23, ?, 86337, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +45, Local-gov, 54190, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +17, Private, 147069, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K +56, Private, 282023, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Self-emp-inc, 379485, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +81, Private, 129338, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 10, United-States, <=50K +22, Private, 99829, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K +43, State-gov, 182254, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 109428, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1740, 40, United-States, <=50K +42, Self-emp-not-inc, 351161, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +66, ?, 210750, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K +50, Private, 132716, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 242984, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 101509, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, ?, 509629, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K +36, Private, 119957, Bachelors, 13, Separated, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +33, Private, 69727, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +36, Private, 204590, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 213, 40, United-States, <=50K +37, ?, 50862, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, <=50K +50, Private, 182907, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +55, Private, 206487, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 168015, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 149396, Some-college, 10, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 30, Haiti, <=50K +39, Federal-gov, 184964, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +34, Private, 398988, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 128777, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +60, Private, 252413, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 32, United-States, >50K +33, Private, 181372, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +58, Private, 216851, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K +27, Private, 106935, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, State-gov, 363875, Some-college, 10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +63, Private, 287277, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 172342, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 308498, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K +29, Private, 122127, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K +31, Private, 106437, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K +49, Self-emp-inc, 306289, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Self-emp-inc, 201699, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +42, Private, 282062, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 235108, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 339482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 181820, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 99335, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 367533, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K +57, Private, 64960, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, <=50K +50, Private, 269095, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 58683, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +35, Self-emp-not-inc, 89508, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3908, 0, 60, United-States, <=50K +19, Private, 100999, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +18, Private, 34125, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 28, United-States, <=50K +20, Private, 115057, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 139126, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 104632, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K +40, Federal-gov, 178866, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +54, Private, 139850, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K +28, Private, 61435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 309230, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 45613, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 272615, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 54318, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 165519, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 48495, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K +38, Private, 143123, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +67, Self-emp-not-inc, 431426, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 20051, 0, 4, United-States, >50K +75, Private, 256474, Masters, 14, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K +41, Private, 191451, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, >50K +37, Private, 99146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +47, Private, 235986, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, Cuba, <=50K +34, Local-gov, 429897, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Mexico, >50K +25, Private, 189897, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 145155, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, State-gov, 192257, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 2174, 0, 40, United-States, <=50K +35, Private, 194960, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 40, Puerto-Rico, <=50K +44, Local-gov, 357814, 12th, 8, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 35, Mexico, <=50K +27, Local-gov, 137629, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K +42, Private, 156526, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K +26, Private, 189238, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, El-Salvador, <=50K +23, Private, 202989, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K +28, Private, 25684, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 192939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 138692, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 222249, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 201318, 9th, 5, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 3411, 0, 50, Columbia, <=50K +23, ?, 190650, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K +30, Private, 56004, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 182313, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 138962, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 72, ?, <=50K +38, Private, 277248, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Cuba, >50K +24, Private, 125031, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +47, State-gov, 216414, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 171176, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 48, ?, <=50K +29, Private, 356133, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 185397, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 308285, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 56651, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 154863, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Trinadad&Tobago, >50K +46, Federal-gov, 44706, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, >50K +34, ?, 222548, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K +32, Private, 248754, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 104981, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 315065, Some-college, 10, Never-married, Other-service, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K +46, Private, 188325, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 221661, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K +59, Private, 81973, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +31, Private, 169122, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +48, Private, 216734, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 98101, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 292511, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +20, Private, 122971, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 124953, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K +54, Private, 123011, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 76417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K +43, Private, 351576, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +46, Federal-gov, 33794, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K +33, Private, 79923, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Private, 117983, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +36, Private, 186110, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 187589, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5178, 0, 40, United-States, >50K +37, ?, 319685, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 54, United-States, >50K +64, ?, 64101, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K +45, Self-emp-not-inc, 162923, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 288519, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 33798, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 195734, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 2354, 0, 40, United-States, <=50K +23, Private, 214120, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 113515, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Self-emp-not-inc, 261230, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 98515, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 187715, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, ?, 214238, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +32, Private, 123964, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 50, United-States, <=50K +26, Private, 68991, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 292110, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 198320, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +33, Private, 709798, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +60, Private, 372838, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 160402, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +45, Private, 98475, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +37, Local-gov, 97136, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 136985, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 187356, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 66, United-States, <=50K +46, State-gov, 107231, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 40, United-States, <=50K +20, Private, 305874, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 290922, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 248254, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 40, United-States, >50K +38, Private, 160808, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 4386, 0, 48, United-States, <=50K +36, Private, 247321, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 247651, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 56, United-States, <=50K +29, Private, 214702, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1974, 35, United-States, <=50K +64, Private, 75577, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2580, 0, 50, United-States, <=50K +34, Private, 561334, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +36, ?, 224886, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 401134, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 258170, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +68, ?, 141181, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K +37, Private, 292370, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 50, ?, >50K +22, Private, 300871, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 136721, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 140399, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +36, Private, 109133, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 186534, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +25, Private, 226891, Assoc-voc, 11, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K +33, Private, 241885, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 97165, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 212918, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +24, Private, 211585, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Local-gov, 178309, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-inc, 481987, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 215211, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Local-gov, 194901, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +44, Private, 340885, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1977, 40, United-States, >50K +33, Local-gov, 190290, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K +26, Private, 188569, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +22, Private, 162282, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 287315, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +31, Self-emp-inc, 304212, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K +73, ?, 200878, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +38, Local-gov, 256864, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 46401, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Private, 37778, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 191722, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 54, United-States, >50K +64, Self-emp-not-inc, 103643, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, >50K +24, Private, 143766, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 55, United-States, <=50K +21, State-gov, 204425, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K +28, Private, 156257, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +18, ?, 113185, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +41, Self-emp-inc, 112262, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 28031, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K +58, Private, 320102, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +50, Self-emp-not-inc, 334273, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K +30, Private, 356015, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K +47, Private, 278900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 142528, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +50, Federal-gov, 343014, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K +29, Private, 201017, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, Scotland, <=50K +31, Self-emp-not-inc, 81030, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Self-emp-not-inc, 34007, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K +31, Private, 29662, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +53, Private, 347446, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Private, 90668, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 190403, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Private, 109015, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 50, United-States, >50K +38, Private, 234807, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +18, Private, 157131, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +50, Private, 94081, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +78, Private, 135566, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 2329, 0, 12, United-States, <=50K +27, Private, 103164, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 570002, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +24, State-gov, 215797, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 289405, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 1602, 15, United-States, <=50K +25, Private, 239461, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K +34, Private, 101510, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +30, Self-emp-inc, 443546, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +37, Federal-gov, 141029, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 207202, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K +67, Without-pay, 137192, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 12, Philippines, <=50K +35, Private, 222989, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +75, Self-emp-not-inc, 36325, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 73394, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 249046, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Federal-gov, 100653, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +42, Local-gov, 1125613, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 101352, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 32, United-States, >50K +54, Private, 340476, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +20, Private, 192711, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 273362, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 100451, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 38, United-States, >50K +35, Private, 85399, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Local-gov, 168191, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K +27, Private, 153475, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 196773, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K +41, Private, 180138, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 48347, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 175071, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 15024, 0, 40, United-States, >50K +66, ?, 129476, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K +25, Private, 181772, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 284317, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +20, Private, 237305, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +67, Self-emp-inc, 111321, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K +44, Private, 278476, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +42, Private, 39060, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +29, Local-gov, 205262, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 40, Ecuador, <=50K +48, Private, 198000, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, >50K +25, Private, 397962, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 178370, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, >50K +48, Private, 121253, Bachelors, 13, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 2472, 70, United-States, >50K +40, Private, 56072, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 176756, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 60374, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +52, Private, 165681, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Self-emp-not-inc, 287037, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Self-emp-not-inc, 55568, Bachelors, 13, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 50, United-States, <=50K +48, Private, 155509, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 16, Trinadad&Tobago, <=50K +19, Private, 201178, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +27, Private, 37250, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1651, 40, United-States, <=50K +59, Private, 314149, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 50, United-States, <=50K +19, Private, 264593, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 159589, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 454915, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 285131, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 150057, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 55390, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 314894, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K +59, ?, 184948, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +25, Local-gov, 124483, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K +37, Self-emp-inc, 97986, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, <=50K +31, Private, 210562, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +24, Private, 233280, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 37, United-States, <=50K +53, Local-gov, 164300, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, Dominican-Republic, <=50K +26, Private, 227489, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, ?, <=50K +25, Private, 263773, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +59, Private, 96459, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Federal-gov, 116608, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 180007, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 305466, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 238917, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K +25, Private, 129784, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 367390, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 235691, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +63, ?, 166425, Some-college, 10, Widowed, ?, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K +43, Self-emp-not-inc, 160369, 10th, 6, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 25, United-States, <=50K +39, Private, 206298, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 183523, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +17, Private, 217342, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 5, United-States, <=50K +40, State-gov, 141858, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, United-States, <=50K +50, Private, 213296, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +23, Self-emp-inc, 201682, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +60, Private, 178312, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 65, United-States, >50K +30, Private, 269723, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 200593, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 32616, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +24, Private, 259510, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 30, United-States, <=50K +45, Self-emp-not-inc, 271828, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +58, Self-emp-inc, 78104, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K +22, Private, 113703, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 187802, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 440706, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 191834, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 149184, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +49, Self-emp-inc, 315998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +30, Private, 159589, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +38, Private, 60313, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +58, Local-gov, 32855, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +58, Private, 142326, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +61, Self-emp-not-inc, 201965, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 172333, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K +32, Private, 206541, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Self-emp-not-inc, 177828, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 303440, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +22, Private, 89991, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 11, United-States, <=50K +35, Private, 186009, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Private, 170988, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +45, Self-emp-inc, 180239, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, ?, >50K +50, Self-emp-not-inc, 213654, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-inc, 32316, 12th, 8, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 150371, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 387871, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 314649, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K +42, Private, 240255, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +60, Private, 206339, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 230168, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 91, United-States, <=50K +42, Private, 171424, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 45, United-States, >50K +36, Private, 148581, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +52, Local-gov, 89705, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Self-emp-not-inc, 248406, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Local-gov, 72594, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, >50K +31, Local-gov, 137537, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 225065, 5th-6th, 3, Separated, Sales, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +35, Private, 217274, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +19, Private, 69151, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +59, Self-emp-not-inc, 81107, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 80, United-States, >50K +38, Private, 205852, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 201117, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 397307, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +39, Private, 115422, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +64, Private, 114994, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, Local-gov, 39815, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +49, Private, 151584, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, United-States, <=50K +19, Private, 164938, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +36, Self-emp-not-inc, 179896, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3137, 0, 40, United-States, <=50K +26, Private, 253841, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 177955, 5th-6th, 3, Never-married, Priv-house-serv, Other-relative, White, Female, 2176, 0, 40, El-Salvador, <=50K +66, Private, 113323, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 40, United-States, >50K +38, Private, 320305, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 229287, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +19, Private, 100790, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 331419, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 4787, 0, 50, United-States, >50K +22, Private, 171419, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K +60, Private, 202226, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 44, United-States, >50K +54, Private, 308087, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 18, United-States, >50K +46, Private, 220124, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +33, State-gov, 31703, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Local-gov, 153908, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 180599, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K +18, ?, 252046, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +60, Self-emp-inc, 160062, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K +39, Self-emp-not-inc, 148443, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +23, Private, 91733, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 3325, 0, 40, United-States, <=50K +39, Private, 176634, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Local-gov, 74949, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 165484, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +24, Private, 44738, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 130040, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 234537, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +39, Private, 179016, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 335421, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, State-gov, 312678, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K +22, ?, 313786, HS-grad, 9, Divorced, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +31, Private, 198751, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K +63, Private, 131519, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 285060, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +28, State-gov, 189765, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 130905, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 146325, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K +33, Private, 102821, 12th, 8, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, ?, 137876, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 388998, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 13550, 0, 46, United-States, >50K +29, Private, 82910, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 309122, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +60, Private, 532845, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, >50K +46, Private, 195833, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, ?, <=50K +67, ?, 98882, Masters, 14, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, ?, 133515, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, France, <=50K +23, Private, 55215, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K +38, Self-emp-inc, 176357, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 185836, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Self-emp-not-inc, 54152, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +37, Private, 212437, Some-college, 10, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K +37, Private, 224566, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 200040, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 41526, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, Canada, <=50K +27, Private, 89598, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +33, Private, 323811, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K +43, State-gov, 30824, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Federal-gov, 181096, Some-college, 10, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +45, Private, 217953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K +44, Private, 222635, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +52, ?, 121942, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 346871, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 4787, 0, 46, United-States, >50K +31, Private, 184889, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +18, Federal-gov, 101709, 11th, 7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 15, Philippines, <=50K +20, Private, 125010, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +32, Private, 53135, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 498328, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +46, Private, 604380, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +28, Private, 174327, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +27, Self-emp-not-inc, 357283, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +18, Federal-gov, 280728, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K +69, Self-emp-not-inc, 185039, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 12, United-States, >50K +50, Self-emp-inc, 251240, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 143046, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Greece, <=50K +32, Private, 210541, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +43, Private, 172364, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +52, Self-emp-not-inc, 138611, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, United-States, >50K +50, Private, 176227, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K +35, Private, 139647, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +20, ?, 174461, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K +73, ?, 123345, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +46, Private, 164427, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K +58, Private, 205235, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +46, Self-emp-inc, 192779, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K +40, Private, 163434, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 264055, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 336215, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +33, Federal-gov, 78307, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Federal-gov, 233059, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 91433, 10th, 6, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +56, Local-gov, 157525, Some-college, 10, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K +24, Private, 86065, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +42, Private, 22831, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 180181, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 212617, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 66, Ecuador, <=50K +22, ?, 125905, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 336793, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 314649, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K +22, Private, 283969, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +32, Self-emp-not-inc, 35595, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 410240, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +66, Private, 178120, 5th-6th, 3, Divorced, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K +26, State-gov, 294400, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K +46, Private, 65353, Some-college, 10, Divorced, Transport-moving, Own-child, White, Male, 3325, 0, 55, United-States, <=50K +55, Private, 189719, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Private, 23438, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 178037, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 109815, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 197860, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 271933, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +54, Private, 141663, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K +19, ?, 199609, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 92215, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +47, Private, 93449, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K +29, Private, 235393, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +53, Private, 151864, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 189277, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +50, ?, 204577, Bachelors, 13, Married-civ-spouse, ?, Husband, Black, Male, 0, 1902, 60, United-States, >50K +42, Private, 344572, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +21, Private, 265356, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +36, Self-emp-inc, 166880, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +60, Private, 188650, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, >50K +69, Private, 213249, Assoc-voc, 11, Widowed, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +31, Private, 112627, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +48, Private, 125120, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +23, Private, 60409, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 243190, Assoc-acdm, 12, Separated, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 8614, 0, 40, United-States, >50K +47, Private, 583755, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +36, Private, 68089, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +39, Private, 306646, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 186573, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K +27, Private, 279580, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K +36, Private, 437909, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 420691, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +33, Federal-gov, 94193, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 154076, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +52, Private, 145879, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K +23, Private, 208946, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 32, United-States, <=50K +33, Private, 231826, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K +30, Private, 178587, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +35, Private, 213208, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 38, Jamaica, <=50K +35, ?, 139770, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K +27, Private, 153869, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 37, United-States, <=50K +24, Private, 88676, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +44, Local-gov, 151089, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 138621, Assoc-voc, 11, Separated, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +45, Private, 30457, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +75, Self-emp-not-inc, 213349, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K +47, Private, 192776, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +64, Private, 192884, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +54, Private, 103024, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 42, United-States, >50K +41, Federal-gov, 510072, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 178615, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 249956, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +51, Private, 177705, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +45, Self-emp-inc, 121124, Prof-school, 15, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +18, ?, 25837, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 72, United-States, <=50K +43, Private, 557349, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K +30, Private, 89735, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 1504, 40, United-States, <=50K +32, Private, 222548, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 47314, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, ?, >50K +61, Private, 316359, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 200089, 1st-4th, 2, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, England, <=50K +56, Private, 271795, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K +28, Private, 31801, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 60, United-States, <=50K +23, Private, 196508, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +55, Private, 189933, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, <=50K +27, ?, 501172, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 419, 20, Mexico, <=50K +33, Private, 361497, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K +22, Private, 150175, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +43, Local-gov, 155106, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-not-inc, 62272, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 189916, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 324011, 9th, 5, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K +35, Private, 105803, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +67, ?, 53588, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 107998, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 340567, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K +39, Private, 167777, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +29, Private, 228860, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K +45, Self-emp-inc, 40666, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +44, Private, 277488, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K +42, Local-gov, 195897, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 242984, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 236497, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 312634, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +64, Private, 59829, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, France, <=50K +30, Private, 24292, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +43, Local-gov, 180407, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 42, Germany, <=50K +49, Self-emp-not-inc, 121238, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 281982, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Self-emp-not-inc, 348739, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +49, Private, 194189, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 329130, 11th, 7, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 205939, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 2202, 0, 4, United-States, <=50K +31, Private, 62165, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +26, Private, 224361, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 34722, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +38, Private, 175972, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 359428, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +24, ?, 138504, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +18, Private, 268952, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +32, Private, 257978, Assoc-voc, 11, Widowed, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 118799, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, State-gov, 78356, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K +30, Self-emp-not-inc, 609789, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 123157, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K +74, Private, 84197, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +36, Private, 162312, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 70, South, <=50K +36, Private, 138441, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 55, United-States, <=50K +29, Private, 239753, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2057, 20, United-States, <=50K +39, Private, 262158, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +25, Self-emp-inc, 133373, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +21, Private, 57916, HS-grad, 9, Separated, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, State-gov, 142897, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +38, Private, 161016, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +20, Private, 227491, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, United-States, <=50K +51, Private, 306790, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 33831, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 188972, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 313546, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 220585, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +25, Local-gov, 476599, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 163665, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +36, Private, 306646, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +41, Private, 206470, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, <=50K +34, Private, 169583, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +19, State-gov, 127085, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K +18, Private, 152044, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 3, United-States, <=50K +36, Private, 111387, 10th, 6, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 102318, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K +29, Private, 213692, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 163665, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +35, Private, 30529, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 290226, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 182136, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 73266, Some-college, 10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +19, State-gov, 60412, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K +70, Private, 187891, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 194304, Some-college, 10, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K +35, Private, 160910, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +25, Private, 148300, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +39, Private, 165743, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +50, Private, 123174, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 37, ?, >50K +43, Private, 184018, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Federal-gov, 188069, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Philippines, >50K +51, Private, 138852, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 7298, 0, 40, El-Salvador, >50K +29, ?, 78529, 10th, 6, Separated, ?, Unmarried, White, Female, 0, 0, 12, United-States, <=50K +20, Private, 164441, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 199419, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 181342, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 0, 0, 40, United-States, <=50K +44, Private, 173382, Assoc-acdm, 12, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 184924, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1719, 15, United-States, <=50K +25, Private, 215384, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 424094, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Federal-gov, 212120, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 185764, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K +46, Local-gov, 133969, Masters, 14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +22, Private, 32616, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +49, Private, 149210, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 161210, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +53, Private, 285621, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +43, Private, 282069, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 42, United-States, <=50K +22, Private, 97508, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 356823, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 10520, 0, 45, United-States, >50K +28, Private, 171133, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 231638, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +40, Private, 191342, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, >50K +50, Private, 226497, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +48, Self-emp-not-inc, 373606, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 65, United-States, >50K +30, Private, 39150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 288840, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +34, Private, 293703, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +42, Private, 79586, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +48, Self-emp-not-inc, 82098, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 65, United-States, <=50K +38, Private, 245372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K +29, Private, 78261, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 355996, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 218490, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 55, United-States, >50K +44, Private, 110908, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 25, United-States, <=50K +42, Federal-gov, 34218, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K +49, Private, 248895, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +25, Private, 363707, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 272411, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 128033, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +20, Private, 177287, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +44, Private, 197344, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 285858, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Self-emp-inc, 193868, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 232082, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 27408, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 247043, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K +27, Local-gov, 162404, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Male, 2174, 0, 40, United-States, <=50K +64, Private, 236341, 5th-6th, 3, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 16, United-States, <=50K +66, Local-gov, 179285, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3432, 0, 20, United-States, <=50K +34, Private, 30433, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +45, Self-emp-not-inc, 102771, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Self-emp-not-inc, 221172, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 108116, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K +26, Private, 375499, 10th, 6, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K +27, Private, 178688, Assoc-voc, 11, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 276709, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +23, ?, 238087, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 84790, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, State-gov, 37482, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, State-gov, 178686, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +35, ?, 153926, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K +55, Private, 110748, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +28, Private, 116613, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K +21, Private, 108687, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 365739, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 195284, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K +38, Private, 125933, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K +37, Private, 140854, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +81, Self-emp-not-inc, 193237, 1st-4th, 2, Widowed, Sales, Other-relative, White, Male, 0, 0, 45, Mexico, <=50K +41, Private, 46870, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 351324, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 189265, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 236564, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Federal-gov, 557644, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 374454, HS-grad, 9, Divorced, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +65, ?, 160654, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +18, Private, 122775, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +26, Private, 214413, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Male, 6497, 0, 48, United-States, <=50K +30, Private, 329425, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K +61, Private, 178312, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K +21, Private, 241951, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 130143, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +41, Self-emp-inc, 114580, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2415, 55, United-States, >50K +43, Self-emp-inc, 130126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K +60, Private, 399387, 7th-8th, 4, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K +47, Private, 163814, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 69586, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 237903, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, ?, 219897, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K +31, Private, 243165, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +33, State-gov, 173806, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +27, Self-emp-not-inc, 65308, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Private, 408531, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, >50K +44, Private, 235786, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K +37, Private, 314963, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 81206, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +51, Federal-gov, 293196, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Private, 95329, Masters, 14, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +25, Local-gov, 45474, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +25, Private, 372728, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 24, Jamaica, <=50K +29, Federal-gov, 116394, Bachelors, 13, Married-AF-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +36, Self-emp-not-inc, 34180, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, >50K +55, Private, 327589, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 706180, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 32550, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 173858, Prof-school, 15, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +51, Self-emp-inc, 230095, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 139012, Assoc-voc, 11, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 2463, 0, 40, Vietnam, <=50K +62, Private, 174711, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +37, Private, 171150, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K +30, Self-emp-inc, 77689, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +27, Private, 193898, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +32, Private, 195000, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K +23, Private, 303121, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +35, Self-emp-not-inc, 188540, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 158656, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K +45, Self-emp-inc, 204196, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, >50K +27, Private, 183802, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 148995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 190903, 11th, 7, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K +37, State-gov, 173780, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +42, Private, 251239, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K +45, Private, 112761, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, State-gov, 425785, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 197731, Assoc-voc, 11, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 119156, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K +56, Private, 133819, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 185556, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 12, United-States, >50K +50, Private, 109277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Self-emp-inc, 36020, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +45, Private, 45857, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 36, United-States, <=50K +55, Private, 184882, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 50, United-States, >50K +41, State-gov, 342834, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, Private, 234743, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K +29, Federal-gov, 106179, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K +37, Private, 177895, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 5013, 0, 40, United-States, <=50K +63, ?, 257876, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 86067, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +64, Private, 66634, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 27828, 0, 50, United-States, >50K +35, Private, 138441, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, <=50K +22, Private, 279802, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 407138, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2936, 0, 50, Mexico, <=50K +58, Private, 31732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Private, 204172, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 48, United-States, <=50K +34, Private, 100593, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 6, United-States, <=50K +33, Local-gov, 162623, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +33, Self-emp-not-inc, 80933, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K +17, Private, 47425, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +27, Private, 107812, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, >50K +20, Self-emp-inc, 104443, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +52, Private, 117496, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1755, 40, United-States, >50K +30, Private, 209691, 7th-8th, 4, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 314525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 190772, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +64, Local-gov, 199298, 5th-6th, 3, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, ?, <=50K +49, Private, 187370, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K +38, Private, 216129, Bachelors, 13, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 60, ?, <=50K +46, Federal-gov, 219293, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 80, United-States, >50K +17, Private, 136363, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +45, Private, 233799, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +27, Private, 207611, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-inc, 178344, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +26, Self-emp-inc, 187652, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 78, United-States, >50K +23, Private, 188545, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 1974, 20, United-States, <=50K +44, Local-gov, 58124, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +36, Private, 321733, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K +35, Private, 206253, 9th, 5, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, ?, 152140, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +56, Private, 76281, Bachelors, 13, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 606752, Masters, 14, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 29933, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K +29, Private, 114158, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 3325, 0, 10, United-States, <=50K +55, ?, 227203, Assoc-acdm, 12, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K +35, Self-emp-inc, 65624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +37, Private, 34146, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 68, United-States, <=50K +36, Self-emp-not-inc, 34378, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3908, 0, 75, United-States, <=50K +33, Private, 141490, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, <=50K +34, Private, 199227, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 224954, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 231357, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Self-emp-inc, 113530, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 22245, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 36383, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, >50K +35, Private, 320305, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K +67, ?, 201657, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +34, Private, 48935, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 101455, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +19, Local-gov, 243960, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K +26, Private, 90915, Assoc-acdm, 12, Never-married, Other-service, Own-child, Black, Female, 0, 0, 15, United-States, <=50K +28, Private, 315287, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +47, Private, 106255, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Local-gov, 215895, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, >50K +33, Self-emp-not-inc, 170979, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +44, Private, 210525, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 195488, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K +18, Private, 152246, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 16, United-States, <=50K +60, Self-emp-not-inc, 187794, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 60, United-States, >50K +44, Private, 110396, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 56, United-States, >50K +81, ?, 89391, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, >50K +43, State-gov, 254817, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 41777, 12th, 8, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +58, Self-emp-not-inc, 234841, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K +32, Private, 79586, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K +40, Private, 115331, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +32, Private, 63564, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +21, Private, 132053, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1721, 35, United-States, <=50K +44, Private, 370502, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, Mexico, <=50K +33, Private, 59083, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 45, United-States, >50K +25, Private, 69413, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 32981, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 176683, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +62, ?, 144116, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Self-emp-not-inc, 209213, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K +33, State-gov, 150657, Bachelors, 13, Never-married, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-not-inc, 124793, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +50, Private, 22211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K +46, Private, 270565, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 38251, Assoc-acdm, 12, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +66, State-gov, 162945, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 20051, 0, 55, United-States, >50K +52, Private, 195638, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +57, Self-emp-not-inc, 118806, 1st-4th, 2, Widowed, Craft-repair, Other-relative, White, Female, 0, 1602, 45, Columbia, <=50K +41, Self-emp-not-inc, 44006, Assoc-voc, 11, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 119679, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1579, 42, United-States, <=50K +19, Private, 333953, 12th, 8, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K +45, Local-gov, 172111, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K +51, Self-emp-not-inc, 32372, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 99, United-States, <=50K +69, ?, 117525, Assoc-acdm, 12, Divorced, ?, Unmarried, White, Female, 0, 0, 1, United-States, <=50K +45, Self-emp-not-inc, 123681, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +48, Private, 317360, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +60, Federal-gov, 119832, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +42, Private, 135056, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, State-gov, 135162, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +39, Self-emp-not-inc, 194004, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K +46, Private, 177633, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +58, Local-gov, 212864, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K +36, Private, 30509, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +21, Private, 118712, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +41, Private, 199018, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 151799, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +29, Private, 181280, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 232024, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +33, Private, 226267, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K +38, Private, 240467, Masters, 14, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +42, Private, 154374, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +24, State-gov, 231473, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K +59, Private, 158813, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +36, Private, 346478, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 45, United-States, >50K +54, Private, 215990, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, United-States, >50K +39, Private, 177154, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +42, Self-emp-not-inc, 238188, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 96, United-States, <=50K +54, Self-emp-not-inc, 156800, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 130620, Assoc-acdm, 12, Married-spouse-absent, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K +50, Private, 175339, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 37937, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K +48, Federal-gov, 166634, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K +31, Private, 221167, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +56, Private, 179641, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +28, Local-gov, 213195, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +34, Private, 157747, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 227840, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 169104, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K +44, Private, 186916, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 60, United-States, >50K +34, Private, 37646, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K +26, Private, 157028, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +37, Private, 188774, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2824, 40, United-States, >50K +64, ?, 146272, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 15, United-States, <=50K +25, Private, 182656, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 200471, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 358465, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 78602, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +44, Private, 213416, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +46, Local-gov, 345911, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +32, ?, 119522, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +42, Federal-gov, 126320, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +33, Self-emp-not-inc, 235271, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +61, Private, 141745, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 359461, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 109351, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K +62, Private, 148113, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 75478, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 100375, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K +19, ?, 28455, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 231413, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Local-gov, 119421, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 42, United-States, <=50K +17, Private, 206998, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K +58, Private, 183810, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-inc, 187053, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +34, Local-gov, 155781, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 4064, 0, 50, United-States, <=50K +55, ?, 193895, 7th-8th, 4, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 48520, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, Self-emp-inc, 170125, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 107584, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 196742, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, ?, 244214, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K +48, Local-gov, 127921, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 42617, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +47, Local-gov, 191389, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +38, Private, 187983, Prof-school, 15, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 215110, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +25, Private, 230292, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 90159, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K +40, Private, 175398, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +56, Self-emp-not-inc, 53366, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +50, Private, 46155, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K +55, Private, 61708, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 6418, 0, 50, United-States, >50K +32, Local-gov, 112650, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 173682, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K +28, Private, 160981, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K +53, Private, 72257, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +26, ?, 182332, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K +60, Local-gov, 48788, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 5455, 0, 55, United-States, <=50K +21, Private, 417668, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +29, Private, 107458, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +73, Private, 147551, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2174, 50, United-States, >50K +43, Self-emp-inc, 33729, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +45, Private, 101977, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, ?, 374716, 9th, 5, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 35, United-States, <=50K +36, Private, 214378, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K +25, Private, 111243, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 50, United-States, <=50K +38, Private, 252947, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K +30, Local-gov, 118500, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 195612, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K +41, Local-gov, 174575, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 190391, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 166715, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K +41, Self-emp-not-inc, 142725, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Private, 73471, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 47, United-States, >50K +51, Private, 241745, 5th-6th, 3, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K +35, Private, 316141, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 7443, 0, 40, United-States, <=50K +61, Local-gov, 248595, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +52, Private, 90189, 7th-8th, 4, Divorced, Priv-house-serv, Own-child, Black, Female, 0, 0, 16, United-States, <=50K +40, Private, 205195, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +20, Private, 148940, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 298035, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 154728, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 166809, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K +36, State-gov, 97136, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 347623, Masters, 14, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 117917, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K +45, Private, 266860, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 71864, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 35, United-States, <=50K +47, Private, 158451, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 2, United-States, >50K +24, Private, 229826, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +19, Private, 121788, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +40, Private, 151365, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 360884, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +54, Private, 36480, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K +43, Self-emp-not-inc, 116666, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 35, United-States, >50K +63, Local-gov, 214143, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K +18, Private, 45316, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 311974, 1st-4th, 2, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +49, Self-emp-not-inc, 48495, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 115945, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +49, Local-gov, 170846, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 142922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +71, ?, 181301, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 286675, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 233168, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 46, United-States, >50K +30, Private, 177304, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +46, Private, 336984, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K +32, Self-emp-not-inc, 379412, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 180778, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K +25, Private, 141876, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 45, ?, <=50K +22, Private, 228306, Some-college, 10, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K +32, Private, 329993, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 247469, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K +51, Private, 673764, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K +20, Private, 155775, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K +34, Private, 81223, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +40, Private, 236021, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +34, State-gov, 103371, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 199480, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +53, Private, 152657, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +42, Federal-gov, 460214, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 91039, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +41, Private, 197372, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +64, ?, 267198, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K +30, State-gov, 111883, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 66917, 11th, 7, Married-civ-spouse, Farming-fishing, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +19, Private, 292583, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +20, Private, 391679, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 60, United-States, <=50K +35, Private, 475324, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +33, Self-emp-not-inc, 218164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 101534, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 15, United-States, >50K +38, Federal-gov, 65706, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +50, Self-emp-not-inc, 156606, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 200967, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +30, Local-gov, 164493, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K +33, Private, 547886, Bachelors, 13, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 232145, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 96421, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 24, Outlying-US(Guam-USVI-etc), <=50K +33, Private, 554206, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, Philippines, <=50K +50, Local-gov, 234143, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K +23, Private, 380544, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Local-gov, 103886, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +50, State-gov, 54709, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 46, United-States, <=50K +26, Private, 276548, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K +55, Local-gov, 176046, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 2267, 40, United-States, <=50K +37, Private, 114605, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 323713, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 261382, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 223548, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, Mexico, <=50K +47, Self-emp-not-inc, 355978, Doctorate, 16, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 45, United-States, <=50K +44, Private, 107218, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 31717, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 328947, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Private, 148431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 121602, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 244087, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K +31, Private, 83425, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 157308, 11th, 7, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female, 2829, 0, 14, Philippines, <=50K +23, Private, 57898, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +40, State-gov, 175304, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +66, Self-emp-inc, 102663, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 99175, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 208358, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +69, Private, 361561, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 3, United-States, <=50K +23, Private, 215115, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Federal-gov, 207066, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +37, Federal-gov, 160910, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 64879, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 430035, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, Mexico, <=50K +37, State-gov, 74163, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-inc, 98389, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 386019, 9th, 5, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 70, United-States, <=50K +17, Private, 112795, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +48, Private, 332465, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K +17, Private, 38611, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 23, United-States, <=50K +55, Private, 368797, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K +35, Private, 24106, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +68, ?, 108683, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 12, United-States, >50K +35, Self-emp-not-inc, 241998, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 312446, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +43, Private, 69333, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +36, Private, 172538, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 275884, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +45, Private, 43479, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K +34, Private, 199864, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2057, 40, United-States, <=50K +56, Private, 235197, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +36, Private, 170376, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +22, Private, 325179, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K +19, ?, 351195, 9th, 5, Never-married, ?, Other-relative, White, Male, 0, 1719, 35, El-Salvador, <=50K +33, Private, 141841, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 36, United-States, <=50K +48, Private, 207817, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, Columbia, <=50K +20, Private, 137974, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +64, Self-emp-inc, 161325, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 50, United-States, >50K +47, Private, 293623, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K +20, Private, 37783, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +44, Federal-gov, 308027, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 149218, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 77, United-States, <=50K +45, Local-gov, 374450, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 5178, 0, 40, United-States, >50K +45, Local-gov, 61885, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K +27, State-gov, 291196, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +41, Private, 45366, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, >50K +20, Private, 203027, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +54, Self-emp-inc, 223752, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, ?, >50K +17, Private, 132680, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 1602, 10, United-States, <=50K +50, Private, 155574, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +31, State-gov, 193565, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 123598, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 456236, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 163229, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +28, Local-gov, 419740, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +43, Local-gov, 118853, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 4386, 0, 99, United-States, >50K +33, Private, 31449, Assoc-acdm, 12, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +35, Private, 204163, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 55, United-States, <=50K +17, Private, 177629, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +25, Private, 186370, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 188307, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 55481, Masters, 14, Never-married, Tech-support, Unmarried, White, Male, 0, 0, 45, Nicaragua, <=50K +48, Private, 119471, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 56, Philippines, >50K +61, Local-gov, 167347, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K +41, Private, 184378, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 348960, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +24, Local-gov, 69640, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 297457, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +18, Private, 279593, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 2, United-States, <=50K +20, Private, 211968, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K +18, Private, 194561, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +23, Private, 140414, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, State-gov, 24763, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 45, United-States, >50K +38, State-gov, 462832, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K +36, Private, 48972, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Self-emp-not-inc, 35032, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 228583, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K +51, Private, 392668, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 84, United-States, >50K +35, Private, 108140, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, State-gov, 112497, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K +47, Federal-gov, 142581, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K +26, Private, 147982, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, State-gov, 440129, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +46, Private, 200734, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, Trinadad&Tobago, <=50K +49, Private, 31807, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 166153, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +45, Self-emp-inc, 212954, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 52291, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K +70, Self-emp-not-inc, 303588, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K +19, Private, 96176, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +46, Private, 184632, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 137618, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K +17, Private, 160029, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 22, United-States, <=50K +43, Private, 178780, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 49, United-States, >50K +19, Private, 39756, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +37, Private, 35309, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 117253, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Local-gov, 303212, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 214542, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, Canada, <=50K +31, Private, 342019, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 126668, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 50, United-States, >50K +27, Private, 401508, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 25005, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 99, United-States, >50K +30, Self-emp-not-inc, 85708, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 115677, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 32, United-States, <=50K +25, Private, 144259, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 50, United-States, <=50K +22, Private, 197583, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +21, State-gov, 142766, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +67, ?, 132626, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K +35, Self-emp-inc, 185621, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, >50K +54, Local-gov, 29887, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 56, United-States, <=50K +36, Private, 117381, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 211482, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Federal-gov, 90653, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K +55, Private, 209535, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +56, Federal-gov, 187873, Masters, 14, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 174732, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +36, Private, 297847, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 2001, 40, United-States, <=50K +58, Private, 110213, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +35, Private, 162601, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 108438, 10th, 6, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +40, Self-emp-inc, 132222, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 174394, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +71, Self-emp-not-inc, 322789, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K +51, Federal-gov, 72436, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, >50K +27, ?, 60726, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +20, Private, 190273, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +33, ?, 393376, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 140571, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 584790, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Private, 197666, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, Greece, <=50K +36, Private, 245090, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 50, El-Salvador, <=50K +42, Private, 192569, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, >50K +31, Local-gov, 158291, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K +19, ?, 113915, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 10, United-States, <=50K +38, Local-gov, 287658, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K +22, Private, 192455, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 317040, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 54, United-States, <=50K +36, Private, 218689, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K +17, Private, 116626, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1719, 18, United-States, <=50K +30, Federal-gov, 48458, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +35, Self-emp-not-inc, 241469, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 30, United-States, <=50K +32, Private, 167990, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K +42, Private, 261929, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K +54, Private, 425804, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +36, Private, 33394, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 35, United-States, >50K +58, Private, 72812, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 89040, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Local-gov, 164518, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +51, Private, 182740, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 361875, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +25, Private, 197130, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +26, Private, 340335, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 293984, 10th, 6, Married-civ-spouse, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +59, State-gov, 261584, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K +21, Private, 170302, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 481987, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K +26, Private, 88449, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K +68, Self-emp-not-inc, 261897, 10th, 6, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +60, Private, 250552, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +65, Private, 88513, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 18, United-States, <=50K +41, Private, 168293, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +34, Private, 283921, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Private, 407043, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 63745, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 49893, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +37, Private, 241962, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 338416, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K +21, ?, 212888, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 56, United-States, <=50K +57, Federal-gov, 310320, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K +55, Private, 359972, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +51, Private, 64643, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, ?, <=50K +56, Private, 125000, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 286675, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +18, Private, 165532, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K +48, Private, 349986, Assoc-voc, 11, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 213140, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +41, Federal-gov, 219155, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, India, >50K +33, Private, 183612, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K +33, Private, 391114, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 219632, 5th-6th, 3, Married-spouse-absent, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +46, Self-emp-inc, 320124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 15024, 0, 40, United-States, >50K +40, Private, 799281, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K +42, Private, 657397, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +31, State-gov, 373432, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 55, United-States, >50K +51, Private, 168660, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 191149, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 57, United-States, <=50K +37, Private, 356824, HS-grad, 9, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 191782, 11th, 7, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +63, Self-emp-not-inc, 29859, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 60, United-States, >50K +52, Private, 204226, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +42, Local-gov, 246862, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K +28, Private, 496526, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 426431, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K +34, Private, 84154, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Federal-gov, 45937, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +31, Private, 130021, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 63021, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +25, Private, 367306, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 65624, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 144928, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 117747, Some-college, 10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +18, Private, 266681, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 152035, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 190023, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +43, Private, 233130, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +21, Private, 149637, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +62, Federal-gov, 224277, Some-college, 10, Widowed, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 121559, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Self-emp-not-inc, 230951, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 345285, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +65, Self-emp-not-inc, 28367, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +41, Private, 320744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K +31, Private, 243773, 9th, 5, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +56, Private, 151474, 9th, 5, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 135465, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +22, Private, 210781, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +36, Local-gov, 359001, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K +48, Private, 119471, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K +30, Private, 226396, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K +35, Private, 283122, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K +37, Self-emp-not-inc, 326400, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +32, ?, 169186, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K +56, Private, 158752, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K +29, ?, 208406, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +41, Private, 96741, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +38, State-gov, 255191, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 177733, 9th, 5, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 35, Dominican-Republic, <=50K +54, State-gov, 137815, 12th, 8, Never-married, Other-service, Own-child, White, Male, 4101, 0, 40, United-States, <=50K +36, ?, 187203, Assoc-voc, 11, Divorced, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K +42, Private, 168515, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 122672, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 195199, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K +69, Local-gov, 179813, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 10, United-States, <=50K +32, Private, 178623, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 46, Trinadad&Tobago, <=50K +50, Private, 41890, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 373050, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K +45, Private, 80430, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +31, Private, 198613, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K +24, Private, 330571, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 209205, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +21, Private, 132243, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 5, United-States, <=50K +43, Self-emp-not-inc, 237670, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +22, Private, 193586, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +62, Self-emp-not-inc, 197353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K +21, Self-emp-not-inc, 74538, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +37, Private, 89718, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +34, Private, 93169, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +74, Self-emp-not-inc, 292915, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1825, 12, United-States, >50K +43, Private, 328570, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +25, Private, 312157, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 193459, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 236804, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 126223, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +51, State-gov, 172281, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K +64, Private, 153894, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, Peru, <=50K +35, Private, 331395, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +69, Self-emp-not-inc, 92472, 10th, 6, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 3273, 0, 45, United-States, <=50K +32, Private, 318647, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +20, Private, 332931, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K +66, Self-emp-inc, 76212, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 301168, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Italy, <=50K +22, Private, 440969, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K +32, Private, 154950, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 218343, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 239577, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 247936, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 2, Taiwan, <=50K +62, Local-gov, 203525, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K +24, Private, 182342, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 25649, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K +27, Private, 243569, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3942, 0, 40, United-States, <=50K +38, Private, 187870, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 90, United-States, >50K +20, ?, 289116, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K +30, Private, 487330, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K +17, ?, 34019, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +17, ?, 250541, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 8, United-States, <=50K +21, Self-emp-not-inc, 318987, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, Self-emp-not-inc, 140558, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Local-gov, 303455, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 4787, 0, 60, United-States, >50K +37, Self-emp-not-inc, 76855, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 308764, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +50, Federal-gov, 339905, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Private, 227856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K +55, Private, 156430, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +45, ?, 98265, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +72, Private, 116640, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3471, 0, 20, United-States, <=50K +39, Private, 187167, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 184078, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 108140, Bachelors, 13, Divorced, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 150533, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 1876, 55, United-States, <=50K +51, Self-emp-not-inc, 313702, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 39803, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1719, 36, United-States, <=50K +25, Private, 252752, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +52, Private, 111700, Some-college, 10, Divorced, Sales, Other-relative, White, Female, 0, 0, 20, United-States, >50K +45, Private, 361842, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +17, Private, 231438, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K +20, Private, 178469, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, ?, <=50K +64, Local-gov, 116620, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K +34, Private, 112212, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 40, United-States, <=50K +74, Self-emp-not-inc, 109101, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 4, United-States, <=50K +58, Federal-gov, 72998, 11th, 7, Divorced, Craft-repair, Not-in-family, Black, Female, 14084, 0, 40, United-States, >50K +44, Private, 147265, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +23, State-gov, 314645, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +23, Private, 444554, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K +27, Private, 129629, Assoc-voc, 11, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 36, United-States, <=50K +34, Private, 106761, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +18, Private, 189924, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K +33, Private, 311194, 11th, 7, Never-married, Sales, Unmarried, Black, Female, 0, 0, 17, United-States, <=50K +50, Self-emp-not-inc, 89737, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +47, Private, 49298, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +50, Self-emp-inc, 190333, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K +18, Private, 251923, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +49, Local-gov, 298445, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 60, United-States, >50K +34, Private, 180284, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K +51, Private, 154342, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K +56, State-gov, 68658, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +64, Private, 203783, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 8, United-States, <=50K +23, Private, 250037, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +33, Private, 158688, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 214781, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +60, Federal-gov, 404023, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K +57, State-gov, 109015, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 194630, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 239375, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 35576, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 50, United-States, >50K +39, Federal-gov, 363630, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 7688, 0, 52, United-States, >50K +32, Self-emp-not-inc, 182926, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 117222, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 15, United-States, <=50K +30, Private, 110643, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +56, Self-emp-not-inc, 170217, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K +34, Private, 193285, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 161075, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +59, Private, 322691, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +19, Private, 229431, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 11, United-States, <=50K +60, ?, 106282, 9th, 5, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 105694, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 42, United-States, <=50K +24, Private, 199883, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +41, State-gov, 100800, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +23, Private, 256278, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Other-relative, Other, Female, 0, 0, 30, El-Salvador, <=50K +32, Private, 156464, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 50, United-States, >50K +51, Self-emp-inc, 129525, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, ?, <=50K +18, Private, 285013, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K +28, Private, 248911, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, ?, <=50K +33, ?, 369386, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 5178, 0, 40, United-States, >50K +38, Private, 219902, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +29, Private, 375482, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, England, <=50K +25, Private, 169124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 183000, Prof-school, 15, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +34, Private, 28053, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +34, Private, 242984, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K +66, State-gov, 132055, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1825, 40, United-States, >50K +41, Private, 212894, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Guatemala, <=50K +62, Private, 223975, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K +58, Private, 357788, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 406811, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Canada, <=50K +24, Private, 154422, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +47, Private, 140644, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 355477, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +32, Private, 151773, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +51, State-gov, 341548, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 512771, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +60, ?, 141580, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 48988, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 201022, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K +20, Private, 82777, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 152676, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, Puerto-Rico, <=50K +18, Private, 115815, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K +23, Private, 168009, 10th, 6, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +28, Private, 213152, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, >50K +55, Private, 89690, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +40, Private, 126868, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +52, Private, 95128, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 185567, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, >50K +21, Private, 301408, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 1602, 22, United-States, <=50K +35, Private, 216256, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 182541, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 48, United-States, <=50K +39, Private, 172855, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +54, Private, 68684, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +42, Private, 364832, 7th-8th, 4, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, ?, 264300, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K +59, Self-emp-inc, 349910, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 276218, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +22, Private, 251196, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +33, Private, 196898, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 58343, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Self-emp-inc, 101061, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 70, United-States, <=50K +46, Private, 415051, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K +24, Private, 174043, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 129460, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 30, Ecuador, <=50K +21, State-gov, 110946, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 43, United-States, <=50K +22, Private, 313873, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K +61, Private, 81132, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K +56, Federal-gov, 255386, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K +21, Private, 191497, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +17, Private, 128617, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 26, United-States, <=50K +29, Private, 368949, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, >50K +28, Local-gov, 263600, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +62, Private, 257277, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +39, Private, 339442, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 2176, 0, 40, United-States, <=50K +30, Local-gov, 289442, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, ?, 162667, 11th, 7, Never-married, ?, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K +18, Local-gov, 466325, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K +54, Private, 142169, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 252079, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +33, State-gov, 119628, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Hong, <=50K +50, Private, 175804, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Private, 70720, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 78, United-States, <=50K +50, State-gov, 201513, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 257609, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 124692, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, >50K +23, Private, 268525, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +23, Private, 250630, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 180277, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Hungary, <=50K +39, Self-emp-not-inc, 191342, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, South, <=50K +29, Private, 250967, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 48, United-States, >50K +46, Private, 153254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +18, Private, 362600, 5th-6th, 3, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +68, Private, 171933, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +62, Private, 211408, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 48193, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 22463, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 440969, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +21, State-gov, 164922, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 134524, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +61, Private, 176689, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 220993, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +21, Private, 512828, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 422275, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K +37, Local-gov, 65291, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +69, Private, 197080, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 9386, 0, 60, United-States, >50K +49, Federal-gov, 181657, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +55, Private, 190257, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 53, United-States, >50K +21, Private, 238068, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 337046, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 187248, HS-grad, 9, Married-civ-spouse, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +20, ?, 250037, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 18, ?, <=50K +46, Private, 285750, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4064, 0, 55, United-States, <=50K +23, Private, 260617, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 216999, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 531055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 48, United-States, >50K +42, State-gov, 121265, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 184466, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +45, Private, 297676, Assoc-acdm, 12, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K +52, Private, 114228, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K +22, Local-gov, 121144, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 18, United-States, <=50K +20, Private, 26842, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 2176, 0, 40, United-States, <=50K +27, Private, 113054, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K +36, Private, 256636, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 152246, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 52, United-States, <=50K +38, Private, 108140, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +20, ?, 203353, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 207207, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +21, Private, 115420, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +33, Private, 80058, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Local-gov, 48520, Assoc-acdm, 12, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 411652, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K +46, Private, 154405, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 45, United-States, <=50K +55, Local-gov, 104917, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +19, State-gov, 261422, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 48915, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +61, Private, 172037, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 144833, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 275116, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, ?, 72886, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 38, United-States, >50K +61, Private, 103575, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K +54, Private, 200783, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Self-emp-inc, 152810, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, Germany, <=50K +37, Local-gov, 44694, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K +17, ?, 48703, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +56, Private, 91905, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 4, United-States, <=50K +31, Private, 168906, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +32, State-gov, 147215, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K +28, Private, 153546, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 35595, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 225507, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +42, Private, 345504, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +64, Private, 137205, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +29, Private, 327779, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K +41, ?, 213416, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, Mexico, <=50K +45, Private, 362883, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 131309, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +44, Private, 188331, Some-college, 10, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +34, Federal-gov, 194740, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 43711, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +45, Private, 187033, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K +23, Private, 233923, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +51, Private, 84278, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +24, Private, 437666, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 50, United-States, <=50K +57, Private, 186386, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Male, 10520, 0, 40, United-States, >50K +23, Private, 129767, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1721, 40, United-States, <=50K +34, Private, 180284, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 108320, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 4101, 0, 40, United-States, <=50K +56, Self-emp-inc, 75214, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, >50K +42, Private, 284758, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-inc, 188330, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +38, Private, 333651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 70, United-States, >50K +29, Local-gov, 115305, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 40, United-States, >50K +54, Private, 172962, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K +40, Private, 198096, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 163265, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Federal-gov, 128608, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 107460, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 37, United-States, <=50K +51, Private, 251841, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +28, Private, 403671, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +58, Private, 159378, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Private, 170070, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 25, United-States, <=50K +46, State-gov, 192323, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 135796, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K +22, Private, 232985, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +28, Private, 34532, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 30, Jamaica, <=50K +17, ?, 371316, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K +23, Private, 236994, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 208366, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +66, State-gov, 102640, HS-grad, 9, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +38, Private, 111377, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K +39, Federal-gov, 472166, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +39, ?, 86551, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 70943, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K +39, Private, 294919, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 408383, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 255454, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 30, United-States, <=50K +32, Private, 193260, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +29, ?, 191935, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Local-gov, 125461, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 97005, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 183319, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, State-gov, 167049, 12th, 8, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 185216, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 161838, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 57, United-States, <=50K +38, Private, 165848, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K +21, Private, 138816, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +33, Self-emp-not-inc, 99761, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +34, Private, 112139, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 129020, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, ?, 365465, Assoc-voc, 11, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K +27, Self-emp-not-inc, 259873, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 60, United-States, >50K +35, Self-emp-inc, 89622, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +29, State-gov, 201556, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 176286, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 192894, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 30, United-States, <=50K +37, Private, 172232, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +38, Self-emp-not-inc, 163204, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 25, United-States, <=50K +37, Private, 265737, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 60, Cuba, >50K +44, Private, 215304, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 185952, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +38, Private, 216845, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 42, United-States, <=50K +34, Local-gov, 35683, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +50, Self-emp-not-inc, 371305, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 60, United-States, >50K +46, Private, 102359, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Private, 200089, 5th-6th, 3, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, Guatemala, <=50K +47, State-gov, 207120, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K +46, Private, 295334, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +34, Private, 234537, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 142922, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, State-gov, 181641, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K +36, Private, 185325, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +28, Private, 167336, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K +22, Private, 379778, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 176117, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +33, Private, 100228, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 150296, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K +43, Federal-gov, 25005, Masters, 14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 12, United-States, <=50K +55, Private, 134120, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K +39, Self-emp-not-inc, 251710, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 1721, 15, United-States, <=50K +20, Private, 653574, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 33, El-Salvador, <=50K +38, Private, 175441, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +30, Private, 333119, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 89154, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 42, El-Salvador, <=50K +60, Private, 198727, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K +43, Private, 87284, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 180686, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +23, Private, 227070, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 48, El-Salvador, <=50K +57, Local-gov, 189824, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 7298, 0, 40, United-States, >50K +25, Local-gov, 348986, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 96185, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +22, Private, 112693, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +23, Private, 417605, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +61, Self-emp-not-inc, 140300, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K +28, Private, 340408, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K +17, ?, 187539, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K +21, Private, 237051, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +49, Private, 175622, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 389725, 12th, 8, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K +23, Private, 182812, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K +38, Self-emp-not-inc, 245372, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3137, 0, 50, United-States, <=50K +34, Local-gov, 93886, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 46, United-States, >50K +21, Private, 502837, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Peru, <=50K +27, State-gov, 212232, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K +57, Private, 300104, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, >50K +22, Private, 156933, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 25, United-States, <=50K +20, Private, 286734, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K +49, Self-emp-inc, 143482, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 65, United-States, >50K +38, Private, 226357, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 104892, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 223194, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1485, 40, Haiti, <=50K +37, Self-emp-not-inc, 272090, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K +57, Private, 204816, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +56, Private, 230039, 7th-8th, 4, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +41, Private, 242619, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K +50, Self-emp-not-inc, 131982, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, <=50K +33, Private, 87310, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 134566, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K +28, Federal-gov, 163862, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K +35, Private, 239409, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 203717, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 172274, Doctorate, 16, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 3004, 35, United-States, >50K +30, Self-emp-not-inc, 65278, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +35, Self-emp-inc, 135289, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K +27, Private, 246974, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 180060, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Yugoslavia, <=50K +24, Private, 118023, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 102308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +47, Private, 45564, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +18, Private, 137646, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +18, Private, 237646, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +31, Local-gov, 189843, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 47, United-States, >50K +43, Self-emp-not-inc, 118261, Masters, 14, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +45, Private, 288437, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 4064, 0, 40, United-States, <=50K +39, Private, 106347, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 316471, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 50058, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +30, Self-emp-not-inc, 182089, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 85, United-States, <=50K +36, Private, 186865, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +20, State-gov, 158206, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +61, ?, 229744, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 3942, 0, 20, Mexico, <=50K +27, Private, 141545, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 45, United-States, <=50K +59, Local-gov, 50929, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +60, Private, 132529, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 260696, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 231180, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +40, Private, 223277, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Private, 279538, 11th, 7, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 2961, 0, 35, United-States, <=50K +47, Private, 46044, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 168071, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +20, Private, 79691, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +75, ?, 114204, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 13, United-States, <=50K +25, Private, 124111, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 104521, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Self-emp-not-inc, 128516, Assoc-acdm, 12, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K +34, Private, 112564, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +45, State-gov, 32186, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 239663, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 2597, 0, 50, United-States, <=50K +46, Private, 269284, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, State-gov, 175537, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K +29, Private, 444304, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 27415, 11th, 7, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K +39, Private, 174343, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 148143, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 209213, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, ?, <=50K +20, Private, 165097, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 51574, HS-grad, 9, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 1602, 38, United-States, <=50K +52, Private, 167651, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Local-gov, 29075, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +22, Private, 396895, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K +66, State-gov, 71075, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +35, Private, 129573, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +40, Local-gov, 183765, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +21, Private, 164991, HS-grad, 9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 38, United-States, <=50K +51, Local-gov, 154891, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 52, United-States, <=50K +34, Private, 200117, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 176389, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 342567, Bachelors, 13, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 178841, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +42, Local-gov, 191149, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 29702, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +21, Private, 157893, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K +64, Local-gov, 31993, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 10, United-States, <=50K +24, Federal-gov, 210736, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K +23, Private, 39615, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K +29, Private, 200511, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +44, Self-emp-not-inc, 47818, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +28, Private, 183155, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +33, Self-emp-inc, 374905, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +35, Private, 128876, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 202872, 10th, 6, Married-spouse-absent, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 153414, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K +51, Self-emp-not-inc, 24790, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K +32, Private, 316769, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K +37, Private, 126569, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 128538, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +24, Private, 234640, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +29, ?, 65372, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 343377, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +52, Federal-gov, 30731, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +35, Private, 412379, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Self-emp-inc, 112320, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +63, Private, 181929, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, >50K +32, Local-gov, 100135, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K +24, Private, 128061, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 594, 0, 15, United-States, <=50K +72, ?, 402306, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, Canada, <=50K +35, ?, 98389, Some-college, 10, Never-married, ?, Unmarried, White, Male, 0, 0, 10, United-States, <=50K +29, Private, 179565, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 64922, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K +70, Private, 102610, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K +65, ?, 115513, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 5556, 0, 48, United-States, >50K +36, Private, 150548, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +53, Private, 133219, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 4386, 0, 30, United-States, >50K +49, Local-gov, 67001, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 162347, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K +18, Private, 138557, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 170456, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, Italy, <=50K +42, Private, 66006, 10th, 6, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +25, State-gov, 176077, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +32, Private, 218322, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Self-emp-inc, 181691, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, ?, <=50K +47, Private, 168232, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K +30, Private, 161690, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, ?, 242736, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 67317, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 265807, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 55, United-States, <=50K +37, Private, 99357, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +56, Private, 170070, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +52, State-gov, 231166, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 62339, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, State-gov, 118520, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K +45, Private, 155659, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +23, Local-gov, 157331, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 341762, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +30, Private, 164190, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +45, Private, 83064, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 304283, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 436798, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 29302, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, ?, <=50K +43, Private, 104660, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Male, 4934, 0, 40, United-States, >50K +42, Private, 79036, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +72, Private, 165622, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +21, ?, 177287, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +57, Private, 199847, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +24, Private, 22966, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +27, Private, 59068, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 77336, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Local-gov, 96524, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +17, Private, 143868, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +48, Private, 121424, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +39, Private, 176279, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Self-emp-inc, 177905, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 70, United-States, >50K +50, Private, 205100, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, ?, <=50K +57, Private, 353881, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +44, Local-gov, 177937, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K +20, ?, 122244, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +49, Private, 125892, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 155472, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, Black, Female, 1151, 0, 50, United-States, <=50K +42, Private, 355728, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +18, ?, 245274, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K +18, Private, 240330, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K +51, Private, 182944, HS-grad, 9, Widowed, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 264498, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 110426, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 45, United-States, >50K +25, Private, 166971, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K +41, Private, 347653, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K +39, Private, 33975, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Self-emp-not-inc, 215219, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +33, Private, 190772, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1617, 40, United-States, <=50K +63, ?, 331527, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 162494, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, >50K +27, Local-gov, 85918, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 68, United-States, <=50K +39, Private, 91367, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 45, United-States, >50K +20, Private, 182342, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 129640, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +70, ?, 133536, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 28, United-States, <=50K +46, Private, 148738, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1740, 35, United-States, <=50K +47, Private, 102583, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K +35, Private, 111387, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 241752, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +22, ?, 334593, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 101950, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +60, Local-gov, 212856, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +53, Private, 183973, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K +47, Private, 142061, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 158615, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 29145, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 40135, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +23, Private, 224640, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, ?, 146651, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K +29, Private, 167737, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 60331, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 187167, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +18, ?, 157131, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K +27, Local-gov, 255237, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +56, ?, 192325, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +40, Private, 163342, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K +31, Private, 129775, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K +18, Private, 206008, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 2176, 0, 40, United-States, <=50K +25, Private, 397317, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 745768, Some-college, 10, Never-married, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +38, Private, 141550, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 35576, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 376383, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K +48, Self-emp-not-inc, 200825, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K +34, ?, 362787, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +46, Private, 116789, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 160300, HS-grad, 9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 362654, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, ?, 107801, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 3, United-States, <=50K +65, Private, 170939, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 6723, 0, 40, United-States, <=50K +31, Local-gov, 224234, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 478346, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 40, United-States, >50K +68, Private, 211162, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 147638, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K +42, Private, 104647, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 67365, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 230959, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 1887, 40, Philippines, >50K +39, Private, 176335, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 65, United-States, >50K +31, Self-emp-not-inc, 268482, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, State-gov, 288731, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K +36, Private, 231082, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +42, State-gov, 333530, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K +62, Private, 214288, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 118023, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K +21, Private, 187088, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 20, Cuba, <=50K +60, ?, 174073, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 133833, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +30, Private, 229772, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, Private, 210082, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 119287, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 28, United-States, >50K +41, Self-emp-not-inc, 111772, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K +25, Private, 122999, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 44767, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 200574, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 44, United-States, <=50K +58, Private, 236596, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 33124, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K +50, Local-gov, 308764, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 103524, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +31, ?, 99483, HS-grad, 9, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +50, Private, 230951, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 99355, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K +33, Private, 857532, 12th, 8, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +62, Private, 81116, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K +38, Private, 154410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, Poland, <=50K +19, Private, 198943, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 311696, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K +38, Private, 252897, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +42, Self-emp-not-inc, 39539, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, >50K +49, Self-emp-inc, 122066, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +53, Private, 110977, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K +45, Local-gov, 199590, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, Mexico, >50K +24, Private, 202721, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +29, Private, 197565, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +24, Private, 206827, Some-college, 10, Never-married, Sales, Own-child, White, Female, 5060, 0, 30, United-States, <=50K +38, Federal-gov, 190895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K +25, Self-emp-inc, 158751, Assoc-voc, 11, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +51, State-gov, 243631, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +17, ?, 219277, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +19, Private, 45381, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K +38, Private, 167482, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K +60, Private, 225014, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 405083, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +66, ?, 186061, Some-college, 10, Widowed, ?, Unmarried, Black, Female, 0, 4356, 40, United-States, <=50K +28, Federal-gov, 24153, 10th, 6, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K +36, Private, 126569, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Ecuador, >50K +57, ?, 137658, HS-grad, 9, Married-civ-spouse, ?, Husband, Other, Male, 0, 0, 5, Columbia, <=50K +24, Private, 315476, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 248186, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +29, Self-emp-inc, 206903, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K +67, Self-emp-not-inc, 191380, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 25, United-States, >50K +20, Private, 191910, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 145119, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K +20, Private, 130840, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 33126, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +20, Private, 334105, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K +19, Local-gov, 354104, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K +34, Private, 111985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +40, Local-gov, 321187, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +33, Private, 138142, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K +36, Private, 296999, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +43, Private, 155106, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2444, 70, United-States, >50K +41, Local-gov, 174491, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +34, State-gov, 173266, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +33, Private, 25610, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 40, Japan, >50K +47, Private, 187563, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 196344, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Mexico, <=50K +40, Private, 205047, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +28, Private, 715938, Bachelors, 13, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 224520, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 90, United-States, >50K +29, Private, 229656, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +46, Private, 97883, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 131298, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +57, Federal-gov, 197875, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 172766, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +28, Local-gov, 175796, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 51973, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +54, Self-emp-not-inc, 28186, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K +22, Private, 291979, 11th, 7, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 180752, Bachelors, 13, Never-married, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +50, Private, 234657, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +18, Private, 39411, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K +52, State-gov, 334273, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +41, Private, 192779, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K +21, ?, 105312, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +36, Private, 171676, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1741, 40, United-States, <=50K +34, Self-emp-not-inc, 182714, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, >50K +21, Private, 231866, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 102102, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +57, ?, 50248, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Local-gov, 195519, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +22, State-gov, 34310, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K +33, ?, 314913, 11th, 7, Divorced, ?, Own-child, White, Male, 0, 0, 53, United-States, <=50K +36, State-gov, 747719, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K +43, Local-gov, 188280, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 914, 0, 40, United-States, <=50K +25, Private, 110978, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 37, India, >50K +17, Private, 79682, 10th, 6, Never-married, Priv-house-serv, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +45, Private, 294671, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 38, United-States, >50K +30, Private, 340899, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1590, 80, United-States, <=50K +40, Private, 192259, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +31, Local-gov, 190228, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +42, Private, 118947, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +53, Private, 55861, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 238433, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K +37, State-gov, 166744, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +54, Private, 144586, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +36, Private, 134367, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +46, Private, 133616, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 203039, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +32, Private, 217460, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 106733, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 40, United-States, <=50K +42, State-gov, 212027, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +37, Local-gov, 126569, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 289960, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +54, Private, 174102, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 181716, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +46, Local-gov, 172822, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 293091, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 107443, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Portugal, <=50K +59, Private, 95283, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 65278, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +35, Private, 220943, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 1594, 40, United-States, <=50K +53, Private, 257940, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2829, 0, 40, United-States, <=50K +26, Private, 134945, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 105582, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 2228, 0, 50, United-States, <=50K +46, Private, 169324, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 45, Jamaica, <=50K +44, State-gov, 98989, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 38, United-States, >50K +30, Self-emp-not-inc, 113838, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 3137, 0, 60, Germany, <=50K +24, Private, 143436, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K +32, Private, 143604, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K +35, Private, 226311, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +67, Private, 94610, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K +56, Self-emp-not-inc, 26716, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K +26, Private, 160261, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K +46, Private, 117310, Assoc-acdm, 12, Widowed, Tech-support, Unmarried, White, Female, 6497, 0, 40, United-States, <=50K +52, Private, 154342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +38, Self-emp-not-inc, 89202, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 174704, HS-grad, 9, Divorced, Sales, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K +53, Private, 153486, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +27, Private, 360097, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 230356, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 163870, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 199753, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K +20, Private, 333505, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, Nicaragua, <=50K +60, Local-gov, 149281, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Private, 138514, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K +57, Federal-gov, 66504, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +59, Private, 206487, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Private, 170020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 217605, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 145711, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K +17, Private, 169155, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +45, Private, 34127, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +18, Private, 110142, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 222646, 12th, 8, Separated, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Cuba, <=50K +18, Private, 182643, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 9, United-States, <=50K +20, Private, 303565, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, Germany, <=50K +34, Private, 140092, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 178811, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +18, ?, 267399, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K +17, Local-gov, 192387, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K +30, Federal-gov, 127610, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +29, Private, 258862, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +30, Private, 225231, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K +18, Private, 174926, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, ?, <=50K +50, State-gov, 238187, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K +22, Private, 191444, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 198822, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K +39, Self-emp-not-inc, 251323, 9th, 5, Married-civ-spouse, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Cuba, <=50K +20, Private, 168187, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 4416, 0, 25, United-States, <=50K +62, Private, 370881, Assoc-acdm, 12, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K +32, Private, 198183, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +38, Private, 210610, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 269182, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 3887, 0, 40, United-States, <=50K +55, Private, 141727, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3464, 0, 40, United-States, <=50K +38, Private, 185848, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 70, United-States, >50K +34, Private, 46746, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 120475, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +26, Private, 135845, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +41, Private, 310255, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, State-gov, 379885, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K +75, Self-emp-not-inc, 31428, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3456, 0, 40, United-States, <=50K +21, Private, 211013, Assoc-voc, 11, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 50, Mexico, <=50K +50, Private, 175029, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Self-emp-inc, 119539, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, ?, >50K +26, Private, 247025, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K +39, Private, 252327, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K +24, Self-emp-not-inc, 375313, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +56, Private, 107165, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 18, United-States, <=50K +17, Private, 108470, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 17, United-States, <=50K +37, Private, 150057, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K +23, Private, 189468, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K +28, ?, 198393, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 181031, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +42, Local-gov, 569930, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 27411, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 147397, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +39, Private, 242922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +54, Private, 154949, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, >50K +41, Self-emp-inc, 423217, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +43, Federal-gov, 195385, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +19, Private, 100009, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 191628, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 340880, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Philippines, >50K +19, Private, 207173, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K +33, Private, 48010, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 229051, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K +49, Private, 193366, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +31, Private, 57781, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +69, ?, 121136, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 13, United-States, <=50K +41, Private, 433989, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 60, United-States, >50K +24, Private, 136687, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K +45, State-gov, 154117, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, >50K +63, Private, 294009, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K +75, Private, 239038, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K +34, Private, 244064, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +69, Private, 128348, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 9386, 0, 50, United-States, >50K +33, Private, 66278, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 162643, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K +45, Private, 179659, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K +18, Private, 205218, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +48, Private, 154033, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K +43, Private, 158528, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 366219, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1848, 60, United-States, >50K +35, Private, 301862, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 228406, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 120131, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 70, United-States, >50K +54, Local-gov, 127943, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +57, Private, 301514, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 156980, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 124685, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, <=50K +51, Private, 305673, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K +34, Local-gov, 31391, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 53, United-States, >50K +41, Local-gov, 33658, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K +21, Private, 211391, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K +26, Private, 402998, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 58, United-States, >50K +66, Private, 78855, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +40, Private, 320451, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 45, Hong, >50K +48, Private, 49278, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, ?, 248876, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 242586, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 359696, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 60, United-States, >50K +55, Local-gov, 296085, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +43, Private, 233130, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +51, Private, 189511, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Germany, >50K +31, Private, 124420, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 67072, Bachelors, 13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 6849, 0, 60, United-States, <=50K +51, Private, 194908, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +31, Local-gov, 94991, HS-grad, 9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +18, Private, 194561, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K +60, Private, 75726, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1092, 40, United-States, <=50K +29, Private, 60722, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +33, Private, 59944, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 220840, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K +40, Self-emp-inc, 104235, Masters, 14, Never-married, Other-service, Own-child, White, Male, 0, 0, 99, United-States, <=50K +57, Private, 142714, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +55, Local-gov, 110490, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, <=50K +40, Self-emp-not-inc, 154076, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +26, State-gov, 130557, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +29, Private, 107108, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +30, Private, 207172, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K +29, Private, 304595, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +43, Private, 475322, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +65, Private, 107620, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +19, Private, 301911, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, Laos, <=50K +35, Private, 267866, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1887, 50, Iran, >50K +28, Private, 269786, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 167474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 115023, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 60, United-States, >50K +63, Local-gov, 86590, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 32, United-States, <=50K +47, State-gov, 187087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 184307, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 225859, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 2907, 0, 30, United-States, <=50K +29, Private, 57889, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +59, Private, 157932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 187830, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 62, United-States, >50K +49, Private, 251180, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 2407, 0, 50, United-States, <=50K +60, Private, 317083, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +35, Self-emp-not-inc, 190895, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +48, Federal-gov, 328606, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, ?, 403860, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 215479, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +56, Private, 157639, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 152129, 12th, 8, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +53, Private, 239284, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 234302, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +58, Private, 218724, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +61, Private, 106330, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 35032, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 234641, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 170730, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +31, Private, 218322, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +90, Private, 47929, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 142411, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, ?, 219122, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 132887, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 3411, 0, 40, Jamaica, <=50K +34, State-gov, 44464, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +28, Private, 180928, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 55, United-States, <=50K +22, ?, 199426, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 139703, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 202642, Bachelors, 13, Separated, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K +17, Private, 160049, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K +38, Private, 239755, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 152369, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Private, 42900, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +72, ?, 117017, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K +57, Private, 175017, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Italy, <=50K +39, Private, 342642, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +50, Self-emp-not-inc, 143730, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K +45, Private, 191098, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +37, Private, 208106, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +27, Private, 167737, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +43, Private, 315971, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +41, Private, 142717, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K +20, Private, 190227, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K +44, Private, 79864, Masters, 14, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +50, Private, 34067, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +54, Private, 222882, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +31, Private, 44464, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1564, 60, United-States, >50K +33, Private, 256062, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K +22, Private, 251073, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K +46, Private, 149949, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 165235, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K +22, ?, 243190, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +59, ?, 160662, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2407, 0, 60, United-States, <=50K +57, Self-emp-not-inc, 175942, Some-college, 10, Widowed, Exec-managerial, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +26, Private, 212793, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 153312, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +55, Local-gov, 173296, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +47, Private, 120131, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 117444, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 226196, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 202872, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +42, Private, 176716, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +39, Private, 82540, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K +17, ?, 41643, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K +26, Private, 197292, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +26, Private, 76491, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K +50, Self-emp-inc, 101094, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K +46, Self-emp-not-inc, 119944, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +18, Private, 141626, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 2176, 0, 20, United-States, <=50K +26, Private, 122575, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 60, Vietnam, <=50K +32, Private, 194740, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +50, Private, 263200, 5th-6th, 3, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 34, Mexico, <=50K +47, Local-gov, 140644, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 202115, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K +25, Federal-gov, 27142, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Local-gov, 318046, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 276369, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 67187, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 8, United-States, <=50K +23, Private, 133582, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K +23, Private, 216672, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 30, ?, <=50K +32, Private, 45796, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K +29, Self-emp-inc, 31778, HS-grad, 9, Separated, Prof-specialty, Other-relative, White, Male, 0, 0, 25, United-States, <=50K +40, Private, 190044, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, State-gov, 144351, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +17, ?, 172145, 10th, 6, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +55, Private, 193130, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Local-gov, 140478, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +56, Private, 122390, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K +23, Private, 116830, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +37, Local-gov, 117683, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 106491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +22, ?, 39803, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 363053, 9th, 5, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 24, Mexico, <=50K +21, Private, 54472, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +47, Local-gov, 200471, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K +38, Private, 54317, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K +62, Local-gov, 113443, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 10520, 0, 33, United-States, >50K +27, Private, 159623, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, ?, 161235, Assoc-voc, 11, Never-married, ?, Own-child, White, Male, 0, 0, 90, United-States, <=50K +27, Private, 247978, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 305846, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +22, Self-emp-not-inc, 214014, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 99999, 0, 55, United-States, >50K +33, Private, 226525, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 247819, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 5, United-States, <=50K +28, Private, 194940, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 289991, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K +46, Private, 585361, 9th, 5, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 91145, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +65, ?, 231604, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, Germany, <=50K +28, Private, 273269, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +39, Private, 202683, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 159179, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 28952, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 39, United-States, <=50K +25, ?, 214925, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +63, Private, 163708, 9th, 5, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +56, Private, 200235, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +46, Private, 109209, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +19, Private, 166153, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K +56, Local-gov, 268213, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, ?, >50K +31, Private, 69056, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +51, State-gov, 237141, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +17, Private, 277541, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 5, United-States, <=50K +27, Local-gov, 289039, Some-college, 10, Never-married, Protective-serv, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +30, Private, 134737, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 45, United-States, <=50K +18, Private, 56613, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 20, United-States, <=50K +41, Private, 36699, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K +40, Local-gov, 333530, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K +35, Private, 185366, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 154017, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K +27, Private, 215504, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 55, United-States, >50K +25, Private, 222539, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 2597, 0, 50, United-States, <=50K +53, Private, 191565, 1st-4th, 2, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, Dominican-Republic, <=50K +53, Private, 111939, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K +26, State-gov, 53903, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +41, Private, 146659, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K +28, Private, 194200, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +48, State-gov, 78529, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +22, Private, 194829, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +40, Federal-gov, 330174, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +52, Self-emp-inc, 230767, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, Cuba, >50K +53, Local-gov, 137250, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 1669, 35, United-States, <=50K +40, Private, 254478, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K +57, Private, 300908, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K +53, Self-emp-not-inc, 187830, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K +23, Private, 201138, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K +31, Self-emp-not-inc, 44503, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 381357, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K +25, Private, 311124, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 96330, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +50, Private, 228238, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +34, Self-emp-not-inc, 56964, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +37, Private, 127772, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Private, 386397, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Self-emp-not-inc, 404998, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 90, United-States, <=50K +49, Private, 34545, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +31, Private, 157886, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 101299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 134447, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K +27, Private, 191822, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K +23, Private, 70919, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 266343, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, <=50K +28, Private, 87239, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Local-gov, 236487, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K +30, Private, 224147, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +23, Private, 197200, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K +19, Private, 124265, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 79980, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K +50, Private, 128814, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +64, ?, 208862, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K +21, Private, 51262, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K +75, Self-emp-inc, 98116, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +29, Private, 82393, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Germany, <=50K +47, Private, 57534, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +20, Private, 218962, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 204752, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 243631, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K +41, Private, 170299, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K +23, Private, 60331, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 269318, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 50, United-States, >50K +67, State-gov, 132819, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 41, United-States, >50K +21, Private, 119665, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 35, United-States, <=50K +38, Private, 150057, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +31, Private, 128567, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +19, ?, 230874, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +59, Self-emp-not-inc, 148526, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 160192, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 74660, Some-college, 10, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-inc, 142494, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 122042, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Self-emp-inc, 37088, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 61778, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +21, ?, 176356, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, Germany, <=50K +27, Private, 123302, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Poland, <=50K +18, Private, 89760, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +44, Local-gov, 165304, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, >50K +56, Private, 104945, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-inc, 192973, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K +48, Private, 97863, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Italy, >50K +31, Private, 73585, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 29145, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 175232, HS-grad, 9, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 325374, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 107231, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 65, United-States, <=50K +23, Private, 129345, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K +21, Private, 228395, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K +49, Private, 452402, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K +51, Self-emp-inc, 338260, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K +46, Private, 165138, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 109055, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3137, 0, 45, United-States, <=50K +27, Private, 193122, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, ?, 425497, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +48, Private, 191858, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 297155, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +29, Local-gov, 181282, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +50, Federal-gov, 111700, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +18, Private, 35065, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +37, Private, 298539, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K +51, Self-emp-not-inc, 95435, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +31, Private, 162160, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K +29, Private, 176037, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, Black, Male, 14344, 0, 40, United-States, >50K +39, Private, 314007, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K +48, Private, 197683, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K +44, Private, 242521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K +39, Private, 290321, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Local-gov, 44064, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +27, ?, 174163, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K +42, Private, 374790, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 231562, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 33, United-States, <=50K +27, Private, 376150, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +51, Private, 99987, 10th, 6, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +27, Self-emp-not-inc, 120126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Self-emp-not-inc, 33717, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +36, Private, 132879, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, <=50K +45, Private, 304570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, China, >50K +40, Private, 100292, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K +63, Private, 117473, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 40, United-States, >50K +41, Private, 239833, HS-grad, 9, Married-spouse-absent, Transport-moving, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K +53, ?, 155233, 12th, 8, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Italy, <=50K +34, Private, 130369, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 1151, 0, 48, Germany, <=50K +34, Private, 347166, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 502752, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K +22, State-gov, 255575, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K +49, Private, 277946, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +43, ?, 214541, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K +36, Private, 143123, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +27, Private, 69132, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K +52, Self-emp-not-inc, 34973, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1887, 60, United-States, >50K +29, Private, 236992, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K +27, Private, 492263, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, Mexico, <=50K +42, Private, 180019, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +49, Self-emp-not-inc, 47086, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 222853, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K +22, Private, 344176, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +30, Self-emp-not-inc, 223212, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 110981, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 162688, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-inc, 181307, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 43, United-States, >50K +39, Private, 148903, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 4687, 0, 50, United-States, >50K +43, Private, 306440, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 66, France, <=50K +18, Private, 210311, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +53, Private, 127117, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +74, Private, 54732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K +39, Private, 271521, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 48, Philippines, >50K +33, ?, 216908, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 543922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K +21, Private, 766115, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, <=50K +65, ?, 52728, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 284166, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1564, 50, United-States, >50K +49, Private, 122206, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K +20, ?, 95989, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 334039, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 44, United-States, >50K +46, Self-emp-not-inc, 225456, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 112847, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 7298, 0, 32, United-States, >50K +61, Self-emp-not-inc, 171840, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 16, United-States, <=50K +48, Private, 180695, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +44, Private, 121012, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-inc, 126569, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +45, Private, 227791, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 50, United-States, <=50K +51, Self-emp-not-inc, 290290, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +33, Local-gov, 251521, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +55, Self-emp-not-inc, 41938, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, <=50K +25, Private, 27678, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 60, United-States, <=50K +26, Private, 133756, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +54, Private, 215990, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 461337, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K +39, Local-gov, 344855, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 20, United-States, >50K +20, State-gov, 214542, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 258170, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Federal-gov, 242147, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Other, Male, 0, 0, 45, United-States, <=50K +42, Private, 235700, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 278130, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, Private, 261241, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +60, Private, 85995, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, South, >50K +42, Private, 340885, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K +42, Private, 152889, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 195023, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K +52, State-gov, 109600, Masters, 14, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 4787, 0, 44, United-States, >50K +27, ?, 249463, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +43, Private, 158177, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +43, State-gov, 47818, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 391468, 11th, 7, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Local-gov, 199995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K +31, Private, 231043, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +38, ?, 281768, 7th-8th, 4, Divorced, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +44, Private, 267790, 9th, 5, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +27, Private, 217379, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 421561, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 50953, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 138504, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +36, State-gov, 177064, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 103064, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K +59, Private, 184493, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 104089, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +23, Private, 149204, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 405284, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1340, 42, United-States, <=50K +25, Local-gov, 137296, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 38, United-States, <=50K +40, Private, 87771, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 1628, 45, United-States, <=50K +38, State-gov, 125499, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7688, 0, 60, India, >50K +31, Private, 59083, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K +28, Local-gov, 138332, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 198914, HS-grad, 9, Never-married, Sales, Unmarried, Black, Male, 0, 0, 25, United-States, <=50K +46, Local-gov, 238162, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 50, United-States, >50K +29, Private, 123677, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K +38, Federal-gov, 325538, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +53, Private, 251063, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Private, 51471, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1902, 40, United-States, >50K +39, Private, 175681, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, ?, <=50K +44, Private, 165599, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +46, Private, 149640, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, England, >50K +30, Private, 143526, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 211160, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 342989, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +62, Self-emp-not-inc, 173631, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K +25, Private, 141876, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +45, Private, 137604, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 129232, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +64, Federal-gov, 271550, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 456922, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 232242, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 352188, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 114967, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 201981, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +32, State-gov, 159247, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 125905, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 186824, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Local-gov, 121012, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +58, Private, 110844, Masters, 14, Widowed, Sales, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K +23, Private, 143003, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1887, 50, India, >50K +31, Federal-gov, 59732, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +28, Private, 178489, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, ?, <=50K +41, ?, 252127, Some-college, 10, Widowed, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K +37, Private, 109633, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 16, United-States, >50K +19, Private, 160811, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 38, United-States, <=50K +27, Self-emp-not-inc, 365110, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +61, Self-emp-not-inc, 113080, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 58, United-States, >50K +39, Private, 206074, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +25, Private, 173062, Bachelors, 13, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +58, Private, 117273, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +27, Self-emp-not-inc, 153805, Some-college, 10, Married-civ-spouse, Transport-moving, Other-relative, Other, Male, 0, 0, 50, Ecuador, >50K +51, Private, 293802, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 52, United-States, <=50K +43, Local-gov, 153132, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +46, Private, 166809, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +67, ?, 34122, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Local-gov, 231725, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 63210, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K +35, Private, 108293, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, >50K +57, Private, 116878, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, <=50K +40, Private, 110622, Prof-school, 15, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +42, Local-gov, 180318, 10th, 6, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 35, United-States, <=50K +67, Self-emp-inc, 112318, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 252079, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 44, United-States, >50K +30, Private, 27153, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 73312, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 15, United-States, <=50K +51, Private, 145409, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 167882, Some-college, 10, Widowed, Other-service, Other-relative, Black, Female, 0, 0, 45, Haiti, <=50K +24, Private, 236696, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K +48, Self-emp-not-inc, 28791, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K +34, State-gov, 118551, Bachelors, 13, Married-civ-spouse, Tech-support, Own-child, White, Female, 5178, 0, 25, ?, >50K +70, Private, 187292, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 6418, 0, 40, United-States, >50K +35, Private, 189922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, ?, 584259, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K +26, Private, 173992, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +64, Private, 253759, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K +26, Private, 111243, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +39, Self-emp-not-inc, 147850, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K +55, Private, 171015, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 36, United-States, <=50K +23, Private, 118023, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, ?, <=50K +33, Self-emp-not-inc, 361497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 137290, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +28, Local-gov, 401886, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K +50, Private, 201882, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K +26, Local-gov, 30793, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, >50K +44, Federal-gov, 139161, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 1741, 40, United-States, <=50K +51, Private, 210736, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 167781, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 103986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 39, United-States, >50K +29, Private, 144592, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 493034, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +27, Private, 184078, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 191814, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +24, Private, 329852, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 223660, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +47, Private, 177087, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, >50K +30, Private, 143766, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +35, Private, 234271, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Federal-gov, 314822, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +42, Private, 195584, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +70, Self-emp-inc, 207938, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 50, United-States, >50K +41, Private, 126850, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +36, Private, 279485, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +44, Private, 267717, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K +42, ?, 175935, HS-grad, 9, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 163665, Some-college, 10, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 17, United-States, <=50K +29, Private, 200468, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 91501, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 182771, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +59, Self-emp-not-inc, 56392, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1579, 60, United-States, <=50K +31, Private, 20511, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +21, Private, 538822, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +26, Private, 332008, Some-college, 10, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 37, Taiwan, <=50K +57, Self-emp-inc, 220789, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +59, Self-emp-not-inc, 114760, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, >50K +87, ?, 90338, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 2, United-States, <=50K +25, Private, 181576, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +39, Private, 198841, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K +53, Private, 53197, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K +32, State-gov, 542265, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 193026, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 25505, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K +17, Private, 375657, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K +44, Private, 201599, 11th, 7, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 181820, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K +57, Private, 334224, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 9386, 0, 40, United-States, >50K +30, State-gov, 54318, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 141388, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K +54, Self-emp-not-inc, 57101, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K +44, Private, 168515, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K +60, Private, 163665, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 16, United-States, >50K +28, Private, 207513, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 42, United-States, >50K +39, Private, 293291, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K +55, Private, 70088, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 199346, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +55, Local-gov, 143949, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 45, United-States, >50K +33, Private, 207201, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, >50K +30, Private, 430283, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 40, United-States, >50K +40, Local-gov, 293809, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K +30, Private, 378009, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +40, Private, 226608, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 30, Guatemala, >50K +24, Private, 314182, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +18, Private, 170544, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K +18, Private, 94196, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K +49, Private, 193047, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +42, Private, 112607, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +28, Local-gov, 146949, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 309513, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +48, Self-emp-not-inc, 191389, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K +24, Private, 213902, 7th-8th, 4, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 32, El-Salvador, <=50K +73, Self-emp-not-inc, 46514, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K +35, Private, 75855, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7298, 0, 40, ?, >50K +23, Private, 38707, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K +19, Private, 188568, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 215014, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, Mexico, <=50K +27, Private, 184477, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 204235, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 39054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K +64, Self-emp-inc, 272531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 358701, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, Mexico, <=50K +47, Private, 217750, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K +22, Private, 200374, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 35, United-States, <=50K +24, Private, 498349, Bachelors, 13, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +69, State-gov, 170458, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K +40, Self-emp-not-inc, 57233, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +45, Private, 188432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 33300, Assoc-acdm, 12, Never-married, Farming-fishing, Other-relative, White, Male, 10520, 0, 45, United-States, >50K +31, Private, 225779, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 46677, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K +41, Private, 227968, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 35, Haiti, >50K +34, Private, 85355, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 207120, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 229223, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 36, United-States, >50K +20, Private, 224640, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 139012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +40, Federal-gov, 130749, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 204516, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +20, Private, 105479, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +41, Private, 197093, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-inc, 431245, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 155150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, State-gov, 216035, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 388247, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Private, 208908, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +23, Private, 259301, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 69333, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 4386, 0, 80, United-States, >50K +34, Private, 167893, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 64, United-States, >50K +32, Federal-gov, 386877, Assoc-voc, 11, Never-married, Tech-support, Own-child, Black, Male, 4650, 0, 40, United-States, <=50K +54, Private, 146551, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 54, United-States, >50K +48, Private, 238360, Bachelors, 13, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +38, Private, 187748, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +48, State-gov, 50748, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 50136, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +42, Private, 111483, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K +31, Private, 298871, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K +27, Private, 147340, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +57, Private, 132704, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 10520, 0, 32, United-States, >50K +46, State-gov, 327786, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 3325, 0, 42, United-States, <=50K +44, Federal-gov, 243636, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Local-gov, 194417, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +24, Private, 236696, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Private, 337130, 1st-4th, 2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +29, Private, 273051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, Yugoslavia, >50K +38, Private, 186191, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K +33, Private, 268451, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +61, Private, 154600, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 4, United-States, <=50K +49, Local-gov, 405309, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +51, Self-emp-not-inc, 99185, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +42, Private, 191765, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K +21, Private, 253583, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +29, ?, 297054, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 204397, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +23, Private, 288771, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +52, Private, 173987, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Local-gov, 33662, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 40, United-States, >50K +23, Private, 91658, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 226902, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K +45, Private, 232586, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +51, Self-emp-not-inc, 291755, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K +29, ?, 207032, HS-grad, 9, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 42, Haiti, <=50K +23, Private, 161478, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +73, Self-emp-not-inc, 109833, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +47, Self-emp-not-inc, 229394, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +61, ?, 69285, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 37, United-States, <=50K +26, Private, 491862, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +40, Private, 311534, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Self-emp-not-inc, 420895, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 47, United-States, <=50K +39, Private, 226374, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +33, Federal-gov, 101345, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 48779, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K +42, Private, 152676, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 164877, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +33, Private, 97521, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 88564, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K +33, Private, 188246, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 189185, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +42, State-gov, 163069, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +28, Private, 251905, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 112403, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K +18, Private, 36882, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +33, Self-emp-not-inc, 195891, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +36, Private, 194905, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K +33, Private, 133503, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 48, United-States, >50K +40, Private, 31621, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +57, Self-emp-not-inc, 413373, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K +40, Private, 196029, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +36, Private, 107302, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K +45, Private, 151267, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K +52, Private, 256861, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 82777, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 147430, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, ?, 60726, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +46, Self-emp-not-inc, 165754, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +36, Private, 448337, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 185079, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +36, Private, 418702, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 41504, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Private, 387335, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 1719, 9, United-States, <=50K +18, Private, 261720, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +38, Private, 133963, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +66, ?, 357750, 11th, 7, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +36, State-gov, 179488, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 55, United-States, >50K +38, Private, 60135, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +55, Self-emp-not-inc, 308746, Prof-school, 15, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K +27, Private, 278720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K +22, State-gov, 477505, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 164711, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 208277, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 39943, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +49, Private, 104542, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 286634, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K +28, Private, 142712, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +26, Private, 336404, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 117983, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K +72, ?, 108796, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Private, 59469, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Iran, <=50K +37, Private, 171968, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +56, ?, 119254, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 278617, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 72338, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +49, Local-gov, 343231, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K +30, Private, 63910, HS-grad, 9, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K +28, Private, 190350, 9th, 5, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 40, United-States, <=50K +25, State-gov, 176162, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 37720, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 421467, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 26, United-States, <=50K +36, Private, 138441, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +52, Private, 146767, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +20, ?, 369678, 12th, 8, Never-married, ?, Not-in-family, Other, Male, 0, 1602, 40, United-States, <=50K +25, Private, 160445, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 211695, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 102346, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2415, 20, United-States, >50K +48, Private, 128796, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +39, Private, 111129, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Local-gov, 44566, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 118497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +36, Private, 334291, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K +49, Private, 237920, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +34, Local-gov, 136331, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K +28, Private, 187397, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 48, Mexico, <=50K +28, Self-emp-not-inc, 119793, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 24982, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +26, Self-emp-not-inc, 231714, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 229272, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K +66, ?, 68219, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Self-emp-not-inc, 268831, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 53, United-States, <=50K +45, Self-emp-not-inc, 149640, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, >50K +29, Private, 261725, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +74, Private, 161387, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +61, Local-gov, 260167, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 200928, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 22, United-States, <=50K +53, Federal-gov, 155594, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +57, Self-emp-not-inc, 79539, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +41, Private, 469454, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 331482, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +43, Private, 225193, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +26, ?, 370727, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 1977, 40, United-States, >50K +29, Private, 82393, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K +65, ?, 37170, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K +41, Private, 58484, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K +31, Local-gov, 156464, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, ?, <=50K +50, Private, 344621, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +52, Private, 174752, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +18, Self-emp-inc, 174202, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K +26, Private, 261203, 7th-8th, 4, Never-married, Other-service, Unmarried, Other, Female, 0, 0, 30, ?, <=50K +57, Private, 316000, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +63, State-gov, 216871, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1740, 40, United-States, <=50K +29, Private, 246933, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +32, Self-emp-not-inc, 112115, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K +34, Private, 264651, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 99185, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 58, United-States, <=50K +39, Private, 176186, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 100219, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 46691, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, State-gov, 297735, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K +40, Private, 132222, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 50, United-States, >50K +25, Private, 189656, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, >50K +54, Local-gov, 224934, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +48, Self-emp-inc, 149218, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K +51, Private, 158508, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +67, State-gov, 261203, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K +17, Private, 309504, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +24, State-gov, 324637, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 267426, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +68, ?, 229016, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K +54, Private, 46401, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K +32, Private, 114288, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +61, ?, 203849, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +41, Federal-gov, 193882, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 311269, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Private, 156117, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +64, ?, 169917, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K +51, Private, 222615, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +41, State-gov, 106900, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 60, United-States, >50K +40, Federal-gov, 78036, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 65, United-States, >50K +27, Private, 380560, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +41, Private, 167106, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 3103, 0, 35, Philippines, >50K +51, Private, 289436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +36, Private, 749636, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-inc, 154120, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K +43, Private, 105119, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Federal-gov, 181081, HS-grad, 9, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K +31, Private, 182237, 10th, 6, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 102130, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K +43, Private, 266324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 99, United-States, >50K +52, Private, 170562, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 240543, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K +37, Federal-gov, 187046, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +60, Private, 389254, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +47, Private, 179955, Some-college, 10, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 25, Outlying-US(Guam-USVI-etc), <=50K +21, Private, 197997, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K +34, Self-emp-inc, 343789, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K +28, Private, 191088, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 1741, 52, United-States, <=50K +40, Local-gov, 141649, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 433906, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +48, Private, 207982, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +46, Private, 175925, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K +58, Private, 85767, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K +32, Self-emp-inc, 281030, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +90, ?, 313986, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +38, Private, 396595, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K +20, ?, 189203, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +43, Self-emp-not-inc, 163108, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K +17, Private, 141590, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 12, United-States, <=50K +36, Private, 137421, 12th, 8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, ?, <=50K +36, Private, 67728, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, Italy, <=50K +30, Private, 345522, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 70, United-States, >50K +45, Private, 330087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 204322, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 50295, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K +35, Self-emp-not-inc, 147258, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K +19, Private, 194260, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +56, Private, 437727, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +64, ?, 34100, Some-college, 10, Widowed, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K +62, ?, 186611, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 280960, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 24, United-States, <=50K +33, Private, 33117, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 169628, Bachelors, 13, Never-married, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, >50K +22, State-gov, 124942, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K +44, Private, 143368, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K +37, Private, 255621, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +34, Self-emp-inc, 154227, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K +43, Private, 171438, Assoc-voc, 11, Separated, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +39, Private, 191524, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +30, Private, 377017, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K +58, Private, 192806, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K +31, ?, 259120, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 10, United-States, <=50K +45, Local-gov, 234195, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +30, Private, 147596, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +42, Private, 147251, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, <=50K +50, Private, 176157, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +25, Local-gov, 176162, Assoc-voc, 11, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K +34, Private, 384150, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 107665, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +72, ?, 82635, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, State-gov, 165827, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +41, Private, 287306, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K +71, Self-emp-not-inc, 78786, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 10, United-States, <=50K +40, Self-emp-not-inc, 33310, Prof-school, 15, Divorced, Other-service, Not-in-family, White, Female, 0, 2339, 35, United-States, <=50K +22, Private, 349368, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K +52, Private, 117674, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +30, Private, 310889, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +36, ?, 187167, HS-grad, 9, Separated, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +40, Private, 379919, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Federal-gov, 34862, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +44, Private, 201723, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K +38, Local-gov, 161463, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K +46, Private, 186410, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +57, Federal-gov, 62020, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 55, United-States, >50K +39, Private, 42044, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, Private, 170230, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K +43, Private, 341358, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 199426, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K +44, Private, 89172, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +22, ?, 148955, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, South, <=50K +37, Private, 140673, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +20, ?, 71788, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 18, United-States, <=50K +26, State-gov, 326033, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K +35, Private, 129305, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +28, Private, 171067, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 143582, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Japan, <=50K +17, ?, 171461, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +18, Private, 257980, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 182866, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 69333, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +61, Private, 668362, 1st-4th, 2, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 132879, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +61, Private, 181219, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, United-States, >50K +19, ?, 166018, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 120518, HS-grad, 9, Widowed, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +19, Private, 183532, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K +45, Private, 49298, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 157332, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +37, Private, 213726, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +26, Private, 31143, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +17, ?, 256173, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K +26, Private, 184872, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K +58, Private, 202652, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K +61, ?, 101602, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, >50K +64, Private, 60940, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 8614, 0, 50, France, >50K +19, Private, 292590, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 25, United-States, <=50K +36, Private, 141420, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +47, Private, 159389, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +62, Private, 254534, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 89508, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +38, Self-emp-not-inc, 238980, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +54, Private, 178946, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K +31, Private, 204752, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +26, Private, 290213, Some-college, 10, Separated, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 102615, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K +41, Private, 291965, Some-college, 10, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +52, Local-gov, 175339, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +28, Private, 90547, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 23, United-States, <=50K +23, ?, 449101, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +46, Self-emp-not-inc, 101722, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 40, United-States, <=50K +32, ?, 981628, HS-grad, 9, Divorced, ?, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K +59, ?, 147989, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +30, Self-emp-inc, 204470, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, >50K +58, Local-gov, 311409, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 30, United-States, >50K +31, Private, 190027, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, ?, <=50K +36, Private, 218015, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K +31, State-gov, 77634, Preschool, 1, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K +52, Self-emp-not-inc, 42984, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K +29, Private, 413297, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 70, Mexico, <=50K +48, Self-emp-not-inc, 218835, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, England, <=50K +30, Private, 341051, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +58, Private, 252419, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K +20, Federal-gov, 347935, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +19, Private, 237848, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 3, United-States, <=50K +63, Private, 174826, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +51, Self-emp-not-inc, 170086, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K +53, Private, 470368, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +54, Federal-gov, 75235, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K +35, ?, 35854, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 746432, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 48, United-States, <=50K +47, Self-emp-not-inc, 258498, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 52, United-States, <=50K +44, Private, 176063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +80, Self-emp-not-inc, 26865, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K +55, Private, 104724, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +43, Private, 346321, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +49, Private, 402462, Bachelors, 13, Married-spouse-absent, Transport-moving, Unmarried, White, Male, 0, 0, 30, Columbia, <=50K +27, Private, 153078, Prof-school, 15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K +42, Private, 176063, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K +39, Private, 451059, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, ?, 229533, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 106437, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +58, Local-gov, 294313, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 55, United-States, <=50K +63, Private, 67903, 9th, 5, Separated, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +49, Private, 133669, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Self-emp-inc, 251730, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K +46, Private, 72896, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 155664, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K +39, Private, 206520, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +33, Private, 72338, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 65, Japan, >50K +43, Local-gov, 34640, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 1887, 40, United-States, >50K +30, Private, 236543, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 68, United-States, <=50K +39, Local-gov, 43702, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K +44, Private, 335248, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 198197, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +80, ?, 281768, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K +31, Private, 160594, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 3, United-States, <=50K +34, Local-gov, 231826, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K +28, Private, 188171, Assoc-acdm, 12, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K +55, Private, 125000, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Private, 166509, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Private, 402367, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 7688, 0, 45, United-States, >50K +67, Local-gov, 204123, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, <=50K +53, Self-emp-inc, 220786, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +43, Private, 254146, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K +29, Local-gov, 152461, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K +19, Private, 223669, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +51, Private, 120270, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +21, Self-emp-not-inc, 304602, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 98, United-States, <=50K +54, Private, 24108, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 32546, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 7430, 0, 40, United-States, >50K +41, Private, 93885, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +28, Private, 210765, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 191276, Assoc-voc, 11, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +82, Self-emp-not-inc, 71438, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K +23, Private, 330571, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K +40, Local-gov, 138634, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 112264, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +24, Private, 205865, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +21, Private, 224640, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 180758, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K +29, ?, 499935, Assoc-voc, 11, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +40, Self-emp-not-inc, 107762, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +17, Private, 214787, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K +27, Private, 211032, 1st-4th, 2, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +34, Private, 208353, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 157273, 10th, 6, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 15, United-States, <=50K +39, Private, 75891, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Self-emp-inc, 177675, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K +44, Private, 182370, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 200525, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +39, Private, 174242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K +28, Private, 95566, 1st-4th, 2, Married-spouse-absent, Other-service, Own-child, Other, Female, 0, 0, 35, Dominican-Republic, <=50K +30, Private, 30290, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +60, Private, 240951, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 183810, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 24, United-States, <=50K +49, Private, 94342, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K +61, Self-emp-inc, 148577, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +27, Private, 103634, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +59, Self-emp-not-inc, 83542, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +52, Federal-gov, 76131, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K +42, Federal-gov, 262402, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +27, Private, 198286, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K +41, Self-emp-inc, 145441, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +35, ?, 273558, Some-college, 10, Never-married, ?, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K +50, Local-gov, 117496, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, <=50K +36, Private, 128876, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, Private, 199698, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K +38, Private, 65390, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +46, Private, 128645, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 53481, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +55, Private, 92215, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +49, Local-gov, 78859, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 323, 20, United-States, <=50K +59, Self-emp-inc, 187502, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +38, Private, 242080, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K +22, Private, 41837, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K +28, Private, 291374, 12th, 8, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +47, Private, 148995, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K +59, Private, 159008, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K +37, Private, 271013, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 199046, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 164280, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Portugal, <=50K +35, Local-gov, 116960, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K +55, Private, 100054, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 183824, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K +48, Private, 313925, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K +48, Private, 379883, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K +70, ?, 92593, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +27, Private, 189777, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 198330, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K +32, Private, 127451, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K +62, ?, 31577, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K +18, ?, 90230, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K +50, Private, 301024, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K +38, Self-emp-not-inc, 175732, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 15, United-States, <=50K +18, Private, 218889, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +46, Private, 117605, 9th, 5, Divorced, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +26, Private, 154571, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K +44, Private, 228057, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Dominican-Republic, <=50K +32, Private, 173998, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +25, Private, 90752, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +55, Private, 51008, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +55, Federal-gov, 113398, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 74977, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K +40, Private, 101593, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +29, Private, 228346, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +60, Private, 180418, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 44489, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K +43, Self-emp-not-inc, 277488, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +24, Private, 103064, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 55, United-States, <=50K +34, Private, 226872, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Self-emp-not-inc, 330416, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +24, Private, 186495, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +47, State-gov, 205712, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 38, United-States, <=50K +18, Private, 217743, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-inc, 52565, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1485, 40, United-States, <=50K +22, Private, 239954, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +49, Self-emp-not-inc, 349986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +41, Private, 117585, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, >50K +68, Self-emp-not-inc, 122094, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K +62, Self-emp-not-inc, 26857, 7th-8th, 4, Widowed, Farming-fishing, Other-relative, White, Female, 0, 0, 35, United-States, <=50K +25, Local-gov, 192321, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 88095, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 24, Mexico, <=50K +44, Private, 144067, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 12, ?, <=50K +32, Private, 124187, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K +49, Private, 123681, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K +68, Private, 145638, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 130513, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, Peru, <=50K +47, Federal-gov, 197038, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +35, Private, 189092, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +37, Self-emp-not-inc, 198841, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 317969, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K +37, Private, 103121, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1848, 40, United-States, >50K +34, Private, 111589, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K +46, Local-gov, 267952, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K +21, Private, 63899, 11th, 7, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 473625, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K +45, Private, 187901, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 2258, 44, United-States, >50K +17, Private, 24090, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K +36, Self-emp-inc, 102729, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K +33, Private, 91666, 12th, 8, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 215873, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K +32, Private, 152109, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +24, Private, 175586, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +37, Private, 232614, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +53, State-gov, 229465, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Private, 147110, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 14344, 0, 40, United-States, >50K +43, Local-gov, 161240, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K +29, Private, 358124, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 52, United-States, <=50K +47, Private, 222529, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K +37, Self-emp-not-inc, 338320, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +43, Self-emp-inc, 62026, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K +23, Private, 263886, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K +50, Private, 310774, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K +25, Private, 98155, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 259307, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +39, Private, 358753, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K +41, Private, 29762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K +32, Private, 202729, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 28790, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, Private, 53209, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Local-gov, 169020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +34, Private, 127195, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 211731, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K +42, Self-emp-not-inc, 126614, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Other, Male, 0, 0, 30, Iran, <=50K +45, Private, 259463, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 228411, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +25, Private, 117827, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Federal-gov, 57216, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +46, State-gov, 250821, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K +48, Self-emp-inc, 88564, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +45, Private, 172822, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 52, United-States, >50K +19, Private, 251579, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, United-States, <=50K +31, Private, 118399, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-inc, 178383, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 70, United-States, <=50K +40, Self-emp-not-inc, 170866, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +60, ?, 268954, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, >50K +52, ?, 89951, 12th, 8, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, >50K +22, Private, 203894, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K +25, Private, 237065, Some-college, 10, Divorced, Other-service, Own-child, Black, Male, 0, 0, 38, United-States, <=50K +51, Local-gov, 108435, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K +32, Private, 93213, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 62, United-States, <=50K +51, Self-emp-inc, 231230, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K +42, Private, 386175, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +39, Private, 128392, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K +24, Private, 223515, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +52, Private, 208630, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1741, 38, United-States, <=50K +58, ?, 97969, 1st-4th, 2, Married-spouse-absent, ?, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +43, Private, 174295, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +31, Private, 60229, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 66095, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +31, Federal-gov, 130057, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K +61, Private, 179743, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 20, United-States, <=50K +26, Private, 192022, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 45288, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +62, ?, 178764, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 99476, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +18, Private, 41973, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 5, United-States, <=50K +23, Private, 162228, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K +21, Private, 211968, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 1762, 28, United-States, <=50K +46, Private, 211226, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 36, United-States, <=50K +38, Private, 33397, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +53, Private, 120839, 12th, 8, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K +53, Private, 36327, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +50, Private, 139703, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +26, Private, 107827, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 25, United-States, <=50K +46, Local-gov, 140219, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 55, United-States, >50K +44, Local-gov, 203761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +36, Local-gov, 114719, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +20, Private, 344394, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +35, Private, 195516, 7th-8th, 4, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Mexico, <=50K +40, State-gov, 31627, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, <=50K +70, Private, 174032, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Private, 226875, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K +40, Private, 566537, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 40, Mexico, <=50K +18, Private, 36162, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 5, United-States, <=50K +45, Self-emp-not-inc, 31478, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 60, United-States, <=50K +52, Private, 294991, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +24, ?, 108495, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +42, Self-emp-inc, 161532, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, <=50K +28, Local-gov, 332249, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 268147, Assoc-voc, 11, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 60, United-States, <=50K +56, Federal-gov, 317847, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +44, Private, 52028, 1st-4th, 2, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K +20, Private, 184045, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +32, Private, 206609, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +59, Private, 152968, Some-college, 10, Separated, Adm-clerical, Other-relative, White, Male, 3325, 0, 40, United-States, <=50K +21, Private, 213015, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 2176, 0, 40, United-States, <=50K +32, Private, 313835, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +49, Private, 66385, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 40, United-States, <=50K +22, Private, 205940, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 1055, 0, 30, United-States, <=50K +51, Self-emp-inc, 260938, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 60567, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K +23, Private, 335067, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 331126, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 30, United-States, <=50K +53, Private, 156612, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 188436, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K +60, Private, 227468, Some-college, 10, Widowed, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +55, Private, 183580, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K +57, Self-emp-not-inc, 50990, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K +59, Private, 384246, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +26, ?, 375313, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K +30, Private, 176410, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 7298, 0, 16, United-States, >50K +49, Private, 93639, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 43, United-States, <=50K +45, Private, 30289, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Self-emp-inc, 124950, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 126675, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K +21, Private, 145964, 12th, 8, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 345712, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, ?, 97474, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 180342, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +19, Private, 167087, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +65, ?, 192825, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +30, Private, 318749, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 35, Germany, <=50K +27, ?, 147638, Masters, 14, Never-married, ?, Not-in-family, Other, Female, 0, 0, 40, Japan, <=50K +59, Federal-gov, 293971, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K +32, Private, 229566, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K +25, Private, 242464, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 111067, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 80, United-States, >50K +21, ?, 155697, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 42, United-States, <=50K +49, Local-gov, 106554, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K +49, Private, 23776, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +51, ?, 43909, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +48, Private, 105808, 9th, 5, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, >50K +42, Private, 169995, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 141388, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Self-emp-not-inc, 241431, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +21, ?, 78374, HS-grad, 9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 24, United-States, <=50K +54, Self-emp-not-inc, 158948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 15, United-States, <=50K +66, Private, 115498, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, ?, >50K +34, Private, 272411, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +39, Private, 30529, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K +62, ?, 263374, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Canada, <=50K +30, Private, 190228, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 126060, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +25, Private, 391192, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +26, Private, 214069, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 170871, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 60, United-States, >50K +55, Private, 118993, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +26, Private, 245880, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 174794, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 56, Germany, <=50K +61, Local-gov, 153408, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +34, ?, 330301, 7th-8th, 4, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +26, Private, 385278, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 60, United-States, <=50K +44, Federal-gov, 38434, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 111679, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K +55, Private, 168956, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 86143, Some-college, 10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K +48, Private, 99835, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 263561, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K +44, Private, 118536, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +32, Self-emp-inc, 209691, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Canada, <=50K +54, Private, 123374, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 137225, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +29, Private, 119359, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 10, China, >50K +56, Private, 134153, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K +47, Private, 121124, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 147655, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +46, Private, 165138, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Federal-gov, 312017, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 272950, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 259323, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K +44, Federal-gov, 281739, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K +21, Private, 119156, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 165881, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +23, State-gov, 136075, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +50, Private, 187465, 11th, 7, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +44, Private, 328561, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +48, Private, 350440, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K +38, Self-emp-not-inc, 109133, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K +48, Private, 109814, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K +39, Private, 86643, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +52, Federal-gov, 154521, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, >50K +63, Private, 45912, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +48, Private, 175070, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2258, 40, United-States, >50K +37, Private, 338033, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +26, State-gov, 158963, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Self-emp-inc, 121441, 11th, 7, Never-married, Exec-managerial, Other-relative, White, Male, 0, 2444, 40, United-States, >50K +47, Self-emp-not-inc, 242391, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +19, Private, 119964, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Female, 0, 0, 15, United-States, <=50K +34, Private, 193344, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K +29, Local-gov, 45554, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 249716, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +53, Private, 58985, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, <=50K +24, Private, 456367, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +39, Private, 117381, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +50, Self-emp-not-inc, 240922, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 1408, 5, United-States, <=50K +31, Private, 226443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 364342, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K +42, Local-gov, 101593, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K +23, Private, 267471, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K +22, Private, 186849, 11th, 7, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K +65, Private, 174603, 5th-6th, 3, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, Italy, <=50K +34, Private, 115040, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K +23, Private, 142766, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 1055, 0, 20, United-States, <=50K +38, Private, 59660, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K +45, Self-emp-not-inc, 49595, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K +19, Private, 127491, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 155933, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 1602, 8, United-States, <=50K +23, Private, 122272, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K +37, Private, 143771, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +59, Private, 91384, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 135874, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Private, 207066, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K +51, Private, 172493, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K +42, Local-gov, 189956, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K +35, Private, 106967, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +20, Private, 200153, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K +25, Private, 149943, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 4101, 0, 60, ?, <=50K +41, Private, 151736, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +40, Private, 67852, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +36, Private, 54229, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 37, United-States, <=50K +34, Self-emp-inc, 154120, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K +44, Self-emp-not-inc, 157217, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K +31, Federal-gov, 381645, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +41, Local-gov, 160785, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 133584, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +43, Private, 170230, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +58, Private, 250206, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K +19, Private, 128363, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K +43, Local-gov, 163434, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, >50K +50, Private, 195690, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K +44, Self-emp-inc, 138991, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +46, Private, 118419, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 38, United-States, <=50K +52, Self-emp-not-inc, 185407, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +52, Self-emp-not-inc, 283079, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +18, Private, 119655, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K +29, Private, 153416, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K +19, ?, 204868, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 36, United-States, <=50K +34, Private, 220362, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +23, Local-gov, 203078, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K +64, State-gov, 104361, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K +68, Private, 274096, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +42, State-gov, 455553, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 112283, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K +41, Self-emp-inc, 64506, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K +22, State-gov, 24395, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K +67, Self-emp-inc, 182581, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 20, United-States, >50K +27, Private, 100669, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K +25, Private, 178025, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +49, ?, 113913, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 60, United-States, <=50K +28, Private, 55191, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +51, Federal-gov, 223206, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, Vietnam, >50K +23, Local-gov, 162551, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, China, <=50K +19, Private, 693066, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K +72, ?, 96867, 5th-6th, 3, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 256362, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +53, Private, 539864, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K +35, Private, 241153, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 284395, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +18, Private, 180039, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K +45, Private, 178416, Assoc-voc, 11, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 175710, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, ?, <=50K +22, Local-gov, 164775, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Guatemala, >50K +55, Private, 176897, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 265097, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1902, 40, United-States, >50K +22, Private, 193090, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +37, Private, 186009, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1672, 60, United-States, <=50K +28, Private, 175262, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +19, Private, 109928, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K +37, Self-emp-not-inc, 162834, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K +50, Private, 177896, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K +31, Private, 181372, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +40, Private, 70645, Preschool, 1, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K +51, Private, 128272, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +56, Private, 106723, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +21, Private, 122348, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K +40, Private, 177905, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 44, United-States, >50K +22, Private, 254547, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K +47, Self-emp-inc, 102308, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 45, United-States, >50K +44, Private, 33105, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +30, Private, 215441, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 40, ?, <=50K +44, Local-gov, 197919, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +41, Private, 206139, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Private, 117849, Assoc-acdm, 12, Divorced, Sales, Own-child, White, Male, 0, 0, 44, United-States, <=50K +26, Private, 323044, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Germany, >50K +34, Private, 90415, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +47, Private, 294913, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K +36, Private, 127573, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K +21, Private, 180190, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 46, United-States, <=50K +45, State-gov, 231013, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +33, Private, 356015, HS-grad, 9, Separated, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 35, Hong, <=50K +33, Private, 198069, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +58, Self-emp-not-inc, 99141, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 10, United-States, <=50K +31, Private, 188246, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K +32, Self-emp-not-inc, 116508, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K +44, Federal-gov, 38434, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K +24, Private, 128477, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +35, Private, 91839, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 7688, 0, 20, United-States, >50K +43, Private, 409922, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K +49, Private, 185041, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Self-emp-not-inc, 103925, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K +42, Self-emp-not-inc, 34037, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K +31, Private, 251659, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 1485, 55, ?, >50K +19, Private, 57145, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K +41, Private, 182108, Doctorate, 16, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, >50K +51, Self-emp-inc, 213296, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K +51, Self-emp-inc, 28765, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +63, Private, 37792, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 31, United-States, <=50K +39, Federal-gov, 232036, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K +30, Private, 33678, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +62, Without-pay, 159908, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 16, United-States, <=50K +27, Private, 176761, HS-grad, 9, Never-married, Craft-repair, Other-relative, Other, Male, 0, 0, 40, Nicaragua, <=50K +32, Private, 260954, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2042, 30, United-States, <=50K +37, Local-gov, 180342, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K +47, Local-gov, 324791, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K +31, Private, 183801, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 43, United-States, >50K +42, Private, 204235, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 249720, Assoc-voc, 11, Married-spouse-absent, Sales, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K +60, Private, 127084, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 2042, 34, United-States, <=50K +42, Local-gov, 201495, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K +38, Private, 447346, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, >50K +24, Private, 206008, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +34, Private, 286020, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K +20, ?, 99891, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K +29, Local-gov, 169544, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K +90, Private, 313749, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K +55, Private, 89182, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Italy, <=50K +36, Private, 258102, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +49, Private, 255466, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K +50, Private, 38795, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +17, Private, 311907, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K +54, Private, 171924, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K +26, Private, 164488, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K +44, Private, 297991, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K +28, Private, 478315, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +54, Local-gov, 34832, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +21, Private, 67804, 9th, 5, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 20, United-States, <=50K +24, Private, 34568, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 47151, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K +59, ?, 120617, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 318046, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K +29, Private, 363963, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +50, Private, 92811, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K +32, Private, 33678, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K +42, Private, 66118, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +47, Private, 160474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K +44, Private, 159960, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +49, Private, 242987, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Columbia, <=50K +61, Private, 232719, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +65, Local-gov, 103153, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1411, 40, United-States, <=50K +45, Local-gov, 162187, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K +59, Private, 207391, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +30, Never-worked, 176673, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K +34, Private, 356882, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +24, Private, 427686, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K +42, Self-emp-inc, 191196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, ?, >50K +37, Private, 377798, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K +36, Private, 43712, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +21, ?, 205939, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +54, Private, 161691, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 2559, 40, United-States, >50K +34, Private, 346034, 12th, 8, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K +41, Private, 144460, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Italy, <=50K +18, Never-worked, 153663, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 4, United-States, <=50K +26, Private, 262617, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +23, Federal-gov, 173851, HS-grad, 9, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K +63, ?, 126540, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K +34, Private, 117963, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K +54, Private, 219737, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K +37, Private, 328466, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, Mexico, <=50K +54, State-gov, 138852, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Local-gov, 195532, Some-college, 10, Never-married, Protective-serv, Other-relative, White, Female, 0, 0, 43, United-States, <=50K +32, Private, 188246, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +42, State-gov, 138162, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, State-gov, 110714, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K +48, Private, 123075, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K +28, Private, 330466, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K +31, Private, 254304, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K +28, Private, 435842, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K +24, Private, 118657, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 278188, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +26, Private, 233777, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, Mexico, <=50K +37, Self-emp-inc, 328466, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K +24, Private, 176580, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K +18, ?, 156608, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K +32, Private, 172415, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +23, Private, 194951, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 55, Ireland, <=50K +33, Local-gov, 318921, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K +49, Private, 189462, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +75, Self-emp-not-inc, 192813, Masters, 14, Widowed, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K +74, Self-emp-not-inc, 199136, Bachelors, 13, Widowed, Craft-repair, Not-in-family, White, Male, 15831, 0, 8, Germany, >50K +26, Private, 156805, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K +66, ?, 93318, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +34, Private, 121966, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +18, Private, 347336, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K +33, Private, 205950, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +36, State-gov, 212143, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +44, Private, 187821, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K +36, Private, 250807, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +53, Private, 291755, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +60, Private, 36077, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +28, Private, 119793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K +36, Private, 184655, 10th, 6, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 48, United-States, <=50K +35, Private, 162256, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 6849, 0, 40, United-States, <=50K +45, Self-emp-not-inc, 204405, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K +23, Private, 133355, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K +35, Private, 89559, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 55, United-States, <=50K +34, Private, 115066, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K +46, Private, 139514, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 75, Dominican-Republic, <=50K +58, State-gov, 200316, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Local-gov, 166502, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +63, Private, 226422, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +41, Self-emp-not-inc, 251305, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 190482, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 76, United-States, <=50K +41, Private, 122215, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K +42, Private, 248356, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +90, Local-gov, 214594, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 2653, 0, 40, United-States, <=50K +41, Private, 220460, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 174043, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +53, Self-emp-not-inc, 137547, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 27828, 0, 40, Philippines, >50K +49, Self-emp-not-inc, 111959, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Scotland, >50K +51, Private, 40641, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K +22, Private, 205940, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +23, Private, 265077, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +59, Private, 395736, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K +40, Private, 306225, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K +28, Private, 180299, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K +39, Private, 214896, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K +25, Private, 273792, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 37, United-States, <=50K +48, State-gov, 224474, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +62, Private, 271431, 9th, 5, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 42, United-States, <=50K +44, Local-gov, 150171, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +28, Federal-gov, 381789, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +62, Private, 170984, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 108256, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +59, Federal-gov, 23789, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K +20, Private, 176321, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K +40, Private, 260425, Assoc-acdm, 12, Separated, Tech-support, Unmarried, White, Female, 1471, 0, 32, United-States, <=50K +47, Private, 248059, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 47, United-States, >50K +60, Private, 56248, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +55, Private, 199763, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 81, United-States, <=50K +18, Private, 200047, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K +43, Private, 191712, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K +31, Self-emp-not-inc, 156033, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K +22, Private, 173736, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +56, Private, 135458, HS-grad, 9, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 185660, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 222005, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K +42, Private, 161510, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K +53, Local-gov, 186303, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K +52, Local-gov, 143533, 7th-8th, 4, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K +42, Private, 288154, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 89, United-States, >50K +48, Private, 325372, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, <=50K +35, Private, 379959, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 168387, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +20, Private, 234640, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +33, Private, 232475, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K +30, Private, 205152, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 112115, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +29, Private, 183854, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +26, Private, 164386, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K +61, Private, 149620, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +45, Private, 199590, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K +29, Private, 83742, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K +57, Self-emp-not-inc, 65080, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K +33, Private, 191335, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 50, United-States, >50K +20, Private, 227778, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K +26, Private, 48280, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Private, 66304, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K +23, Private, 45834, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +31, Private, 298995, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, <=50K +47, Private, 161950, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +61, Private, 98776, 11th, 7, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K +35, Private, 102268, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K +23, Private, 180771, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female, 0, 0, 35, Mexico, <=50K +20, ?, 203992, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K +41, Private, 206878, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K +39, Federal-gov, 110622, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K +51, Local-gov, 203334, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K +61, Self-emp-not-inc, 50483, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, <=50K +51, Private, 274502, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K +36, Private, 208068, Preschool, 1, Divorced, Other-service, Not-in-family, Other, Male, 0, 0, 72, Mexico, <=50K +41, Self-emp-not-inc, 168098, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 213307, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Female, 7443, 0, 35, United-States, <=50K +25, Private, 175128, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +37, Private, 40955, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K +19, Private, 60890, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K +66, Self-emp-not-inc, 102686, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K +23, Private, 190273, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K +30, Self-emp-not-inc, 176185, Some-college, 10, Married-spouse-absent, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, >50K +53, Private, 304504, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 45, United-States, >50K +25, Private, 390657, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +18, Private, 41381, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 1602, 20, United-States, <=50K +51, Private, 101432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 190682, HS-grad, 9, Widowed, Craft-repair, Not-in-family, Black, Female, 0, 1669, 50, United-States, <=50K +53, Private, 158993, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K +17, Private, 117798, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K +61, Private, 137554, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +44, Self-emp-inc, 71556, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, >50K +38, Private, 257416, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K +40, Private, 195617, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K +32, Private, 236318, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, <=50K +46, Private, 42251, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K +50, Private, 257933, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +36, Self-emp-not-inc, 109133, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K +30, Self-emp-not-inc, 261943, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 30, Honduras, <=50K +33, Private, 139057, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K +36, Private, 237943, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K +85, Private, 98611, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 3, Poland, <=50K +62, Private, 128092, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +24, Private, 284317, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K +48, Self-emp-inc, 185041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K +58, Local-gov, 223214, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Self-emp-inc, 173664, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K +66, Private, 269665, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +37, Private, 121521, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K +55, Private, 199713, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K +39, Self-emp-not-inc, 193689, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +58, Self-emp-inc, 181974, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, ?, <=50K +50, Private, 485710, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K +28, Private, 185647, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K +34, Private, 30673, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K +41, Federal-gov, 160467, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K +36, Private, 186819, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K +22, Private, 67234, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 45, United-States, <=50K +35, Private, 30673, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, <=50K +49, ?, 114648, 12th, 8, Divorced, ?, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +21, Private, 182117, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K +64, State-gov, 222966, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K +41, Private, 201495, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +52, Private, 301229, Assoc-voc, 11, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +32, Private, 157747, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 155382, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K +48, Private, 268083, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +28, Private, 113987, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +24, Private, 216984, Some-college, 10, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K +51, Private, 177669, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K +32, Private, 164190, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K +61, Private, 355645, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K +60, ?, 134152, 9th, 5, Divorced, ?, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K +33, Private, 63079, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K +42, Self-emp-not-inc, 217597, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 50, ?, <=50K +24, Private, 381895, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +82, ?, 403910, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K +26, Private, 179010, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K +18, Private, 436163, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K +34, Private, 321709, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K +57, Private, 153918, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +25, Private, 403788, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K +34, Private, 60567, 11th, 7, Divorced, Transport-moving, Unmarried, White, Male, 0, 880, 60, United-States, <=50K +71, Private, 138145, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K +35, Local-gov, 79649, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K +47, Private, 312088, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +50, Private, 208630, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K +33, Private, 182401, 10th, 6, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K +38, Private, 32916, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K +50, Private, 302372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K +45, Private, 155093, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 38, Dominican-Republic, <=50K +32, Private, 192965, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K +39, Private, 107302, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, >50K +25, Local-gov, 514716, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K +20, Private, 270436, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K +46, Private, 42972, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 22, United-States, >50K +40, Private, 142657, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, <=50K +66, Federal-gov, 47358, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 3471, 0, 40, United-States, <=50K +30, Private, 176175, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K +36, Private, 131459, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K +57, Local-gov, 110417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K +46, Private, 364548, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K +27, Private, 177398, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 64, United-States, <=50K +33, Private, 273243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K +58, Private, 147707, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K +30, Private, 77266, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K +26, Private, 191648, Assoc-acdm, 12, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 15, United-States, <=50K +81, ?, 120478, Assoc-voc, 11, Divorced, ?, Unmarried, White, Female, 0, 0, 1, ?, <=50K +32, Private, 211349, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K +22, Private, 203715, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K +31, Private, 292592, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K +29, Private, 125976, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K +35, ?, 320084, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 55, United-States, >50K +30, ?, 33811, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 99, United-States, <=50K +34, Private, 204461, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K +54, Private, 337992, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K +37, Private, 179137, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 39, United-States, <=50K +22, Private, 325033, 12th, 8, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 35, United-States, <=50K +34, Private, 160216, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K +30, Private, 345898, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 46, United-States, <=50K +38, Private, 139180, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 15020, 0, 45, United-States, >50K +71, ?, 287372, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K +45, State-gov, 252208, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K +41, ?, 202822, HS-grad, 9, Separated, ?, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K +72, ?, 129912, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K +45, Local-gov, 119199, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 48, United-States, <=50K +31, Private, 199655, Masters, 14, Divorced, Other-service, Not-in-family, Other, Female, 0, 0, 30, United-States, <=50K +39, Local-gov, 111499, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K +37, Private, 198216, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K +43, Private, 260761, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K +65, Self-emp-not-inc, 99359, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 1086, 0, 60, United-States, <=50K +43, State-gov, 255835, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K +43, Self-emp-not-inc, 27242, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K +32, Private, 34066, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K +43, Private, 84661, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K +32, Private, 116138, Masters, 14, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 11, Taiwan, <=50K +53, Private, 321865, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K +22, Private, 310152, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K +27, Private, 257302, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 38, United-States, <=50K +40, Private, 154374, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K +58, Private, 151910, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K +22, Private, 201490, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K +52, Self-emp-inc, 287927, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K + diff --git a/ADM-master/Example Workflows/TheData/Basics/workflowset.meta b/ADM-master/Example 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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/bayes/File Reader (#1)/settings.xml b/ADM-master/bayes/File Reader (#1)/settings.xml new file mode 100644 index 0000000000000000000000000000000000000000..f2c7bd824c58ce09fb34ada4f60901a850459c89 --- /dev/null +++ b/ADM-master/bayes/File Reader (#1)/settings.xml @@ -0,0 +1,156 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/ADM-master/bayes/Naive Bayes Learner (#3)/internal/naivebayesData b/ADM-master/bayes/Naive Bayes Learner (#3)/internal/naivebayesData new file mode 100644 index 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new file mode 100644 index 0000000000000000000000000000000000000000..0c3f1965aa2bc92e63ce1e064f6ad53d5d8670cb --- /dev/null +++ b/ADM-master/bayes/workflow.svg @@ -0,0 +1,804 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Node 1Node 2Node 3Node 4Node 5Node 6File Reader + + + + Partitioning + + + + + + Naive Bayes Learner + + + + + + Naive BayesPredictor + + + + + + Scorer + + + + + + ROC Curve (local) + + + + + + Node 1Node 2Node 3Node 4Node 5Node 6File Reader + + + + Partitioning + + + + + + Naive Bayes Learner + + + + + + Naive BayesPredictor + + + + + + Scorer + + + + + + ROC Curve (local) + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/ADM-master/fp-growth.md b/ADM-master/fp-growth.md new file mode 100644 index 0000000000000000000000000000000000000000..b9d0fd23df236011afa8e55e5f2ee78762217549 --- /dev/null +++ b/ADM-master/fp-growth.md @@ -0,0 +1,88 @@ +# FP-Growth + +### Sequential Pattern Mining + +Source: + +**Pattern Mining**: discover useful patterns in databases. For example, frequent itemsets, associations, subgraphs, sequential rules, and periodic patterns. + +**Sequential Pattern Mining**: task of analyzing sequential data to discover sequential patterns. Discover subsequences in a set of sequences, where the interestingness of a subsequence can be measured in terms of various criteria such as its occurrence frequency, length, and profit. + +Lot of real-life applications: bioinformatics, e-learning, market basket analysis, texts, webpage click-stream analysis,... + +#### Example: purchases made by a customers in a retail store + +``` +SID | Sequence +---------------------------- +1 | <{a,b},{c},{f,g},{g},{e}> +2 | <{a,d},{c},{b},{a,b,e,f}> +3 | <{a},{b},{f,g},{e}> +4 | <{b},{f,g}> +``` + +Each sequence represents the items purchases by a customer at different times. For example, SID = 1, means that the customer 1 purchased first a and b, then c, then f and g, then g and finally e. + +**frequent sequantial patterns**: subsequences that appear often in a sequence database. + +In our example, sequantial pattern mining can be used to find the sequences of items frequently bought by customers. This can be useful to understand the behaviour of customers to make marketing decisions. + +**minimum support threshold**: minimum number of sequences in which a pattern must appear to be considered frequent. + +A _support_ is the number of sequences containing each pattern + +``` +Pattern | Support +<{a}> | 3 +<{a},{g}> | 2 +<{a},{g},{e}> | 2 +... +``` + +Another example of application of sequential pattern mining is text analysis. Find sequences of word frequent in text. An study case: + +### Time series + +Sequential patter mining can also be applied to time series (e.g. stock data), when discretization is performed as a pre-processng step. After the transformation, any sequential pattern mining algorithm can be applied. SAX transformations is one of the techniques to achieve this. + +### Algorithms + +Classic: + +- PrefixSpan +- Spade +- SPAM +- GSP + +Novel: + +- CM-SPADE +- CM-SPAM +- FCIoSM and FGenSM + +Extract frequent sets by either: + +- breadth-first search: apriori +- depth-first search: eclat + + +Theorem antimonotonicity: supersets of infrequent sets must necessarily be infrequent as well. + +This allows us to avoid exploration of ample areas of the search space. + +#### apriori algorithm + +count the frequency of all items (discard infrequent ones) + +for growing sizes c = 1,2,3... + use a join operation on frequent sets of size c to construct candidates of size c+1 + check for infrequent subsets of size c, discard if found + count (at once) the support of the remaining candidates and discard infrequent ones + exit when no candidates remains + +join: + - identify pairs of frequent sets of size c that only differ in their largest item + - join them into a candidate set of size c+1 + - the other c-1 subsets of size c are still to be checked + +Hash trees are used. diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/cli/__init__.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/cli/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/cli/__init__.py @@ -0,0 +1 @@ + diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/cli/chardetect.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/cli/chardetect.py new file mode 100644 index 0000000000000000000000000000000000000000..c61136b639e57a46acd72d2b6b7142a61979d694 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/cli/chardetect.py @@ -0,0 +1,85 @@ +#!/usr/bin/env python +""" +Script which takes one or more file paths and reports on their detected +encodings + +Example:: + + % chardetect somefile someotherfile + somefile: windows-1252 with confidence 0.5 + someotherfile: ascii with confidence 1.0 + +If no paths are provided, it takes its input from stdin. + +""" + +from __future__ import absolute_import, print_function, unicode_literals + +import argparse +import sys + +from pip._vendor.chardet import __version__ +from pip._vendor.chardet.compat import PY2 +from pip._vendor.chardet.universaldetector import UniversalDetector + + +def description_of(lines, name='stdin'): + """ + Return a string describing the probable encoding of a file or + list of strings. + + :param lines: The lines to get the encoding of. + :type lines: Iterable of bytes + :param name: Name of file or collection of lines + :type name: str + """ + u = UniversalDetector() + for line in lines: + line = bytearray(line) + u.feed(line) + # shortcut out of the loop to save reading further - particularly useful if we read a BOM. + if u.done: + break + u.close() + result = u.result + if PY2: + name = name.decode(sys.getfilesystemencoding(), 'ignore') + if result['encoding']: + return '{0}: {1} with confidence {2}'.format(name, result['encoding'], + result['confidence']) + else: + return '{0}: no result'.format(name) + + +def main(argv=None): + """ + Handles command line arguments and gets things started. + + :param argv: List of arguments, as if specified on the command-line. + If None, ``sys.argv[1:]`` is used instead. + :type argv: list of str + """ + # Get command line arguments + parser = argparse.ArgumentParser( + description="Takes one or more file paths and reports their detected \ + encodings") + parser.add_argument('input', + help='File whose encoding we would like to determine. \ + (default: stdin)', + type=argparse.FileType('rb'), nargs='*', + default=[sys.stdin if PY2 else sys.stdin.buffer]) + parser.add_argument('--version', action='version', + version='%(prog)s {0}'.format(__version__)) + args = parser.parse_args(argv) + + for f in args.input: + if f.isatty(): + print("You are running chardetect interactively. Press " + + "CTRL-D twice at the start of a blank line to signal the " + + "end of your input. If you want help, run chardetect " + + "--help\n", file=sys.stderr) + print(description_of(f, f.name)) + + +if __name__ == '__main__': + main() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/langbulgarianmodel.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/langbulgarianmodel.py new file mode 100644 index 0000000000000000000000000000000000000000..2aa4fb2e22fc3bfa26b569273c6cb18c4c415dd9 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/langbulgarianmodel.py @@ -0,0 +1,228 @@ +######################## BEGIN LICENSE BLOCK ######################## +# The Original Code is Mozilla Communicator client code. +# +# The Initial Developer of the Original Code is +# Netscape Communications Corporation. +# Portions created by the Initial Developer are Copyright (C) 1998 +# the Initial Developer. All Rights Reserved. +# +# Contributor(s): +# Mark Pilgrim - port to Python +# +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA +# 02110-1301 USA +######################### END LICENSE BLOCK ######################### + +# 255: Control characters that usually does not exist in any text +# 254: Carriage/Return +# 253: symbol (punctuation) that does not belong to word +# 252: 0 - 9 + +# Character Mapping Table: +# this table is modified base on win1251BulgarianCharToOrderMap, so +# only number <64 is sure valid + +Latin5_BulgarianCharToOrderMap = ( +255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00 +255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10 +253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20 +252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30 +253, 77, 90, 99,100, 72,109,107,101, 79,185, 81,102, 76, 94, 82, # 40 +110,186,108, 91, 74,119, 84, 96,111,187,115,253,253,253,253,253, # 50 +253, 65, 69, 70, 66, 63, 68,112,103, 92,194,104, 95, 86, 87, 71, # 60 +116,195, 85, 93, 97,113,196,197,198,199,200,253,253,253,253,253, # 70 +194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209, # 80 +210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225, # 90 + 81,226,227,228,229,230,105,231,232,233,234,235,236, 45,237,238, # a0 + 31, 32, 35, 43, 37, 44, 55, 47, 40, 59, 33, 46, 38, 36, 41, 30, # b0 + 39, 28, 34, 51, 48, 49, 53, 50, 54, 57, 61,239, 67,240, 60, 56, # c0 + 1, 18, 9, 20, 11, 3, 23, 15, 2, 26, 12, 10, 14, 6, 4, 13, # d0 + 7, 8, 5, 19, 29, 25, 22, 21, 27, 24, 17, 75, 52,241, 42, 16, # e0 + 62,242,243,244, 58,245, 98,246,247,248,249,250,251, 91,252,253, # f0 +) + +win1251BulgarianCharToOrderMap = ( +255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00 +255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10 +253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20 +252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30 +253, 77, 90, 99,100, 72,109,107,101, 79,185, 81,102, 76, 94, 82, # 40 +110,186,108, 91, 74,119, 84, 96,111,187,115,253,253,253,253,253, # 50 +253, 65, 69, 70, 66, 63, 68,112,103, 92,194,104, 95, 86, 87, 71, # 60 +116,195, 85, 93, 97,113,196,197,198,199,200,253,253,253,253,253, # 70 +206,207,208,209,210,211,212,213,120,214,215,216,217,218,219,220, # 80 +221, 78, 64, 83,121, 98,117,105,222,223,224,225,226,227,228,229, # 90 + 88,230,231,232,233,122, 89,106,234,235,236,237,238, 45,239,240, # a0 + 73, 80,118,114,241,242,243,244,245, 62, 58,246,247,248,249,250, # b0 + 31, 32, 35, 43, 37, 44, 55, 47, 40, 59, 33, 46, 38, 36, 41, 30, # c0 + 39, 28, 34, 51, 48, 49, 53, 50, 54, 57, 61,251, 67,252, 60, 56, # d0 + 1, 18, 9, 20, 11, 3, 23, 15, 2, 26, 12, 10, 14, 6, 4, 13, # e0 + 7, 8, 5, 19, 29, 25, 22, 21, 27, 24, 17, 75, 52,253, 42, 16, # f0 +) + +# Model Table: +# total sequences: 100% +# first 512 sequences: 96.9392% +# first 1024 sequences:3.0618% +# rest sequences: 0.2992% +# negative sequences: 0.0020% +BulgarianLangModel = ( +0,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,3,3,3,3,3,3,3,3,2,3,3,3,3,3, +3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,3,3,3,2,2,3,2,2,1,2,2, +3,1,3,3,2,3,3,3,3,3,3,3,3,3,3,3,3,0,3,3,3,3,3,3,3,3,3,3,0,3,0,1, +0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1, +3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,3,2,3,3,3,3,3,3,3,3,0,3,1,0, +0,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1, +3,2,2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,1,3,2,3,3,3,3,3,3,3,3,0,3,0,0, +0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, +3,2,3,3,2,3,3,3,3,3,3,3,3,3,3,3,3,1,3,2,3,3,3,3,3,3,3,3,0,3,0,0, +0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, +3,3,3,3,3,3,3,3,3,3,3,2,3,2,2,1,3,3,3,3,2,2,2,1,1,2,0,1,0,1,0,0, +0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1, 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+0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, +1,0,0,1,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0, +0,1,1,0,1,1,1,0,0,1,0,0,1,0,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0, +1,0,1,0,0,1,1,1,1,1,1,1,1,1,1,1,0,0,1,0,2,0,0,2,0,1,0,0,1,0,0,1, +1,1,0,0,1,1,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0, +0,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0, +1,1,1,1,1,1,1,2,0,0,0,0,0,0,2,1,0,1,1,0,0,1,1,1,0,1,0,0,0,0,0,0, +2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, +0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, +1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,1,1,0,1,1,1,1,1,0,1,0,0, +0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1, +) + +Latin5BulgarianModel = { + 'char_to_order_map': Latin5_BulgarianCharToOrderMap, + 'precedence_matrix': BulgarianLangModel, + 'typical_positive_ratio': 0.969392, + 'keep_english_letter': False, + 'charset_name': "ISO-8859-5", + 'language': 'Bulgairan', +} + +Win1251BulgarianModel = { + 'char_to_order_map': win1251BulgarianCharToOrderMap, + 'precedence_matrix': BulgarianLangModel, + 'typical_positive_ratio': 0.969392, + 'keep_english_letter': False, + 'charset_name': "windows-1251", + 'language': 'Bulgarian', +} diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/langcyrillicmodel.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/langcyrillicmodel.py new file mode 100644 index 0000000000000000000000000000000000000000..e5f9a1fd19cca472d785bf90c6395cd11b524766 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/langcyrillicmodel.py @@ -0,0 +1,333 @@ +######################## BEGIN LICENSE BLOCK ######################## +# The Original Code is Mozilla Communicator client code. +# +# The Initial Developer of the Original Code is +# Netscape Communications Corporation. +# Portions created by the Initial Developer are Copyright (C) 1998 +# the Initial Developer. All Rights Reserved. +# +# Contributor(s): +# Mark Pilgrim - port to Python +# +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA +# 02110-1301 USA +######################### END LICENSE BLOCK ######################### + +# KOI8-R language model +# Character Mapping Table: +KOI8R_char_to_order_map = ( +255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00 +255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10 +253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20 +252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30 +253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40 +155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50 +253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60 + 67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70 +191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206, # 80 +207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222, # 90 +223,224,225, 68,226,227,228,229,230,231,232,233,234,235,236,237, # a0 +238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253, # b0 + 27, 3, 21, 28, 13, 2, 39, 19, 26, 4, 23, 11, 8, 12, 5, 1, # c0 + 15, 16, 9, 7, 6, 14, 24, 10, 17, 18, 20, 25, 30, 29, 22, 54, # d0 + 59, 37, 44, 58, 41, 48, 53, 46, 55, 42, 60, 36, 49, 38, 31, 34, # e0 + 35, 43, 45, 32, 40, 52, 56, 33, 61, 62, 51, 57, 47, 63, 50, 70, # f0 +) + +win1251_char_to_order_map = ( +255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00 +255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10 +253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20 +252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30 +253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40 +155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50 +253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60 + 67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70 +191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206, +207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222, +223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238, +239,240,241,242,243,244,245,246, 68,247,248,249,250,251,252,253, + 37, 44, 33, 46, 41, 48, 56, 51, 42, 60, 36, 49, 38, 31, 34, 35, + 45, 32, 40, 52, 53, 55, 58, 50, 57, 63, 70, 62, 61, 47, 59, 43, + 3, 21, 10, 19, 13, 2, 24, 20, 4, 23, 11, 8, 12, 5, 1, 15, + 9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27, 16, +) + +latin5_char_to_order_map = ( +255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00 +255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10 +253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20 +252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30 +253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40 +155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50 +253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60 + 67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70 +191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206, +207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222, +223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238, + 37, 44, 33, 46, 41, 48, 56, 51, 42, 60, 36, 49, 38, 31, 34, 35, + 45, 32, 40, 52, 53, 55, 58, 50, 57, 63, 70, 62, 61, 47, 59, 43, + 3, 21, 10, 19, 13, 2, 24, 20, 4, 23, 11, 8, 12, 5, 1, 15, + 9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27, 16, +239, 68,240,241,242,243,244,245,246,247,248,249,250,251,252,255, +) + +macCyrillic_char_to_order_map = ( +255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00 +255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10 +253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20 +252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30 +253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40 +155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50 +253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60 + 67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70 + 37, 44, 33, 46, 41, 48, 56, 51, 42, 60, 36, 49, 38, 31, 34, 35, + 45, 32, 40, 52, 53, 55, 58, 50, 57, 63, 70, 62, 61, 47, 59, 43, +191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206, +207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222, +223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238, +239,240,241,242,243,244,245,246,247,248,249,250,251,252, 68, 16, + 3, 21, 10, 19, 13, 2, 24, 20, 4, 23, 11, 8, 12, 5, 1, 15, + 9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27,255, +) + +IBM855_char_to_order_map = ( +255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00 +255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10 +253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20 +252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30 +253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40 +155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50 +253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60 + 67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70 +191,192,193,194, 68,195,196,197,198,199,200,201,202,203,204,205, +206,207,208,209,210,211,212,213,214,215,216,217, 27, 59, 54, 70, + 3, 37, 21, 44, 28, 58, 13, 41, 2, 48, 39, 53, 19, 46,218,219, +220,221,222,223,224, 26, 55, 4, 42,225,226,227,228, 23, 60,229, +230,231,232,233,234,235, 11, 36,236,237,238,239,240,241,242,243, + 8, 49, 12, 38, 5, 31, 1, 34, 15,244,245,246,247, 35, 16,248, + 43, 9, 45, 7, 32, 6, 40, 14, 52, 24, 56, 10, 33, 17, 61,249, +250, 18, 62, 20, 51, 25, 57, 30, 47, 29, 63, 22, 50,251,252,255, +) + +IBM866_char_to_order_map = ( +255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00 +255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10 +253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20 +252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30 +253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40 +155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50 +253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60 + 67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70 + 37, 44, 33, 46, 41, 48, 56, 51, 42, 60, 36, 49, 38, 31, 34, 35, + 45, 32, 40, 52, 53, 55, 58, 50, 57, 63, 70, 62, 61, 47, 59, 43, + 3, 21, 10, 19, 13, 2, 24, 20, 4, 23, 11, 8, 12, 5, 1, 15, +191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206, +207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222, +223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238, + 9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27, 16, +239, 68,240,241,242,243,244,245,246,247,248,249,250,251,252,255, +) + +# Model Table: +# total sequences: 100% +# first 512 sequences: 97.6601% +# first 1024 sequences: 2.3389% +# rest sequences: 0.1237% +# negative sequences: 0.0009% +RussianLangModel = ( +0,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,1,1,3,3,3,3,1,3,3,3,2,3,2,3,3, +3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,3,2,2,2,2,2,0,0,2, +3,3,3,2,3,3,3,3,3,3,3,3,3,3,2,3,3,0,0,3,3,3,3,3,3,3,3,3,2,3,2,0, +0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, +3,3,3,2,2,3,3,3,3,3,3,3,3,3,2,3,3,0,0,3,3,3,3,3,3,3,3,2,3,3,1,0, +0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, +3,2,3,2,3,3,3,3,3,3,3,3,3,3,3,3,3,0,0,3,3,3,3,3,3,3,3,3,3,3,2,1, +0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 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+Koi8rModel = { + 'char_to_order_map': KOI8R_char_to_order_map, + 'precedence_matrix': RussianLangModel, + 'typical_positive_ratio': 0.976601, + 'keep_english_letter': False, + 'charset_name': "KOI8-R", + 'language': 'Russian', +} + +Win1251CyrillicModel = { + 'char_to_order_map': win1251_char_to_order_map, + 'precedence_matrix': RussianLangModel, + 'typical_positive_ratio': 0.976601, + 'keep_english_letter': False, + 'charset_name': "windows-1251", + 'language': 'Russian', +} + +Latin5CyrillicModel = { + 'char_to_order_map': latin5_char_to_order_map, + 'precedence_matrix': RussianLangModel, + 'typical_positive_ratio': 0.976601, + 'keep_english_letter': False, + 'charset_name': "ISO-8859-5", + 'language': 'Russian', +} + +MacCyrillicModel = { + 'char_to_order_map': macCyrillic_char_to_order_map, + 'precedence_matrix': RussianLangModel, + 'typical_positive_ratio': 0.976601, + 'keep_english_letter': False, + 'charset_name': "MacCyrillic", + 'language': 'Russian', +} + +Ibm866Model = { + 'char_to_order_map': IBM866_char_to_order_map, + 'precedence_matrix': RussianLangModel, + 'typical_positive_ratio': 0.976601, + 'keep_english_letter': False, + 'charset_name': "IBM866", + 'language': 'Russian', +} + +Ibm855Model = { + 'char_to_order_map': IBM855_char_to_order_map, + 'precedence_matrix': RussianLangModel, + 'typical_positive_ratio': 0.976601, + 'keep_english_letter': False, + 'charset_name': "IBM855", + 'language': 'Russian', +} diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/mbcharsetprober.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/mbcharsetprober.py new file mode 100644 index 0000000000000000000000000000000000000000..6256ecfd1e2c9ac4cfa3fac359cd12dce85b759c --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/mbcharsetprober.py @@ -0,0 +1,91 @@ +######################## BEGIN LICENSE BLOCK ######################## +# The Original Code is Mozilla Universal charset detector code. +# +# The Initial Developer of the Original Code is +# Netscape Communications Corporation. +# Portions created by the Initial Developer are Copyright (C) 2001 +# the Initial Developer. All Rights Reserved. +# +# Contributor(s): +# Mark Pilgrim - port to Python +# Shy Shalom - original C code +# Proofpoint, Inc. +# +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA +# 02110-1301 USA +######################### END LICENSE BLOCK ######################### + +from .charsetprober import CharSetProber +from .enums import ProbingState, MachineState + + +class MultiByteCharSetProber(CharSetProber): + """ + MultiByteCharSetProber + """ + + def __init__(self, lang_filter=None): + super(MultiByteCharSetProber, self).__init__(lang_filter=lang_filter) + self.distribution_analyzer = None + self.coding_sm = None + self._last_char = [0, 0] + + def reset(self): + super(MultiByteCharSetProber, self).reset() + if self.coding_sm: + self.coding_sm.reset() + if self.distribution_analyzer: + self.distribution_analyzer.reset() + self._last_char = [0, 0] + + @property + def charset_name(self): + raise NotImplementedError + + @property + def language(self): + raise NotImplementedError + + def feed(self, byte_str): + for i in range(len(byte_str)): + coding_state = self.coding_sm.next_state(byte_str[i]) + if coding_state == MachineState.ERROR: + self.logger.debug('%s %s prober hit error at byte %s', + self.charset_name, self.language, i) + self._state = ProbingState.NOT_ME + break + elif coding_state == MachineState.ITS_ME: + self._state = ProbingState.FOUND_IT + break + elif coding_state == MachineState.START: + char_len = self.coding_sm.get_current_charlen() + if i == 0: + self._last_char[1] = byte_str[0] + self.distribution_analyzer.feed(self._last_char, char_len) + else: + self.distribution_analyzer.feed(byte_str[i - 1:i + 1], + char_len) + + self._last_char[0] = byte_str[-1] + + if self.state == ProbingState.DETECTING: + if (self.distribution_analyzer.got_enough_data() and + (self.get_confidence() > self.SHORTCUT_THRESHOLD)): + self._state = ProbingState.FOUND_IT + + return self.state + + def get_confidence(self): + return self.distribution_analyzer.get_confidence() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/mbcsgroupprober.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/mbcsgroupprober.py new file mode 100644 index 0000000000000000000000000000000000000000..530abe75e0c00cbfcb2a310d872866f320977d0a --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/mbcsgroupprober.py @@ -0,0 +1,54 @@ +######################## BEGIN LICENSE BLOCK ######################## +# The Original Code is Mozilla Universal charset detector code. +# +# The Initial Developer of the Original Code is +# Netscape Communications Corporation. +# Portions created by the Initial Developer are Copyright (C) 2001 +# the Initial Developer. All Rights Reserved. +# +# Contributor(s): +# Mark Pilgrim - port to Python +# Shy Shalom - original C code +# Proofpoint, Inc. +# +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA +# 02110-1301 USA +######################### END LICENSE BLOCK ######################### + +from .charsetgroupprober import CharSetGroupProber +from .utf8prober import UTF8Prober +from .sjisprober import SJISProber +from .eucjpprober import EUCJPProber +from .gb2312prober import GB2312Prober +from .euckrprober import EUCKRProber +from .cp949prober import CP949Prober +from .big5prober import Big5Prober +from .euctwprober import EUCTWProber + + +class MBCSGroupProber(CharSetGroupProber): + def __init__(self, lang_filter=None): + super(MBCSGroupProber, self).__init__(lang_filter=lang_filter) + self.probers = [ + UTF8Prober(), + SJISProber(), + EUCJPProber(), + GB2312Prober(), + EUCKRProber(), + CP949Prober(), + Big5Prober(), + EUCTWProber() + ] + self.reset() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/sbcsgroupprober.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/sbcsgroupprober.py new file mode 100644 index 0000000000000000000000000000000000000000..98e95dc1a3cbc65e97bc726ab7000955132719dd --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/sbcsgroupprober.py @@ -0,0 +1,73 @@ +######################## BEGIN LICENSE BLOCK ######################## +# The Original Code is Mozilla Universal charset detector code. +# +# The Initial Developer of the Original Code is +# Netscape Communications Corporation. +# Portions created by the Initial Developer are Copyright (C) 2001 +# the Initial Developer. All Rights Reserved. +# +# Contributor(s): +# Mark Pilgrim - port to Python +# Shy Shalom - original C code +# +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA +# 02110-1301 USA +######################### END LICENSE BLOCK ######################### + +from .charsetgroupprober import CharSetGroupProber +from .sbcharsetprober import SingleByteCharSetProber +from .langcyrillicmodel import (Win1251CyrillicModel, Koi8rModel, + Latin5CyrillicModel, MacCyrillicModel, + Ibm866Model, Ibm855Model) +from .langgreekmodel import Latin7GreekModel, Win1253GreekModel +from .langbulgarianmodel import Latin5BulgarianModel, Win1251BulgarianModel +# from .langhungarianmodel import Latin2HungarianModel, Win1250HungarianModel +from .langthaimodel import TIS620ThaiModel +from .langhebrewmodel import Win1255HebrewModel +from .hebrewprober import HebrewProber +from .langturkishmodel import Latin5TurkishModel + + +class SBCSGroupProber(CharSetGroupProber): + def __init__(self): + super(SBCSGroupProber, self).__init__() + self.probers = [ + SingleByteCharSetProber(Win1251CyrillicModel), + SingleByteCharSetProber(Koi8rModel), + SingleByteCharSetProber(Latin5CyrillicModel), + SingleByteCharSetProber(MacCyrillicModel), + SingleByteCharSetProber(Ibm866Model), + SingleByteCharSetProber(Ibm855Model), + SingleByteCharSetProber(Latin7GreekModel), + SingleByteCharSetProber(Win1253GreekModel), + SingleByteCharSetProber(Latin5BulgarianModel), + SingleByteCharSetProber(Win1251BulgarianModel), + # TODO: Restore Hungarian encodings (iso-8859-2 and windows-1250) + # after we retrain model. + # SingleByteCharSetProber(Latin2HungarianModel), + # SingleByteCharSetProber(Win1250HungarianModel), + SingleByteCharSetProber(TIS620ThaiModel), + SingleByteCharSetProber(Latin5TurkishModel), + ] + hebrew_prober = HebrewProber() + logical_hebrew_prober = SingleByteCharSetProber(Win1255HebrewModel, + False, hebrew_prober) + visual_hebrew_prober = SingleByteCharSetProber(Win1255HebrewModel, True, + hebrew_prober) + hebrew_prober.set_model_probers(logical_hebrew_prober, visual_hebrew_prober) + self.probers.extend([hebrew_prober, logical_hebrew_prober, + visual_hebrew_prober]) + + self.reset() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/sjisprober.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/sjisprober.py new file mode 100644 index 0000000000000000000000000000000000000000..9e29623bdc54a7c6d11bcc167d71bb44cc9be39d --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/sjisprober.py @@ -0,0 +1,92 @@ +######################## BEGIN LICENSE BLOCK ######################## +# The Original Code is mozilla.org code. +# +# The Initial Developer of the Original Code is +# Netscape Communications Corporation. +# Portions created by the Initial Developer are Copyright (C) 1998 +# the Initial Developer. All Rights Reserved. +# +# Contributor(s): +# Mark Pilgrim - port to Python +# +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA +# 02110-1301 USA +######################### END LICENSE BLOCK ######################### + +from .mbcharsetprober import MultiByteCharSetProber +from .codingstatemachine import CodingStateMachine +from .chardistribution import SJISDistributionAnalysis +from .jpcntx import SJISContextAnalysis +from .mbcssm import SJIS_SM_MODEL +from .enums import ProbingState, MachineState + + +class SJISProber(MultiByteCharSetProber): + def __init__(self): + super(SJISProber, self).__init__() + self.coding_sm = CodingStateMachine(SJIS_SM_MODEL) + self.distribution_analyzer = SJISDistributionAnalysis() + self.context_analyzer = SJISContextAnalysis() + self.reset() + + def reset(self): + super(SJISProber, self).reset() + self.context_analyzer.reset() + + @property + def charset_name(self): + return self.context_analyzer.charset_name + + @property + def language(self): + return "Japanese" + + def feed(self, byte_str): + for i in range(len(byte_str)): + coding_state = self.coding_sm.next_state(byte_str[i]) + if coding_state == MachineState.ERROR: + self.logger.debug('%s %s prober hit error at byte %s', + self.charset_name, self.language, i) + self._state = ProbingState.NOT_ME + break + elif coding_state == MachineState.ITS_ME: + self._state = ProbingState.FOUND_IT + break + elif coding_state == MachineState.START: + char_len = self.coding_sm.get_current_charlen() + if i == 0: + self._last_char[1] = byte_str[0] + self.context_analyzer.feed(self._last_char[2 - char_len:], + char_len) + self.distribution_analyzer.feed(self._last_char, char_len) + else: + self.context_analyzer.feed(byte_str[i + 1 - char_len:i + 3 + - char_len], char_len) + self.distribution_analyzer.feed(byte_str[i - 1:i + 1], + char_len) + + self._last_char[0] = byte_str[-1] + + if self.state == ProbingState.DETECTING: + if (self.context_analyzer.got_enough_data() and + (self.get_confidence() > self.SHORTCUT_THRESHOLD)): + self._state = ProbingState.FOUND_IT + + return self.state + + def get_confidence(self): + context_conf = self.context_analyzer.get_confidence() + distrib_conf = self.distribution_analyzer.get_confidence() + return max(context_conf, distrib_conf) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/universaldetector.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/universaldetector.py new file mode 100644 index 0000000000000000000000000000000000000000..7b4e92d6158527736e3d14d6f725edada8f94b00 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/universaldetector.py @@ -0,0 +1,286 @@ +######################## BEGIN LICENSE BLOCK ######################## +# The Original Code is Mozilla Universal charset detector code. +# +# The Initial Developer of the Original Code is +# Netscape Communications Corporation. +# Portions created by the Initial Developer are Copyright (C) 2001 +# the Initial Developer. All Rights Reserved. +# +# Contributor(s): +# Mark Pilgrim - port to Python +# Shy Shalom - original C code +# +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA +# 02110-1301 USA +######################### END LICENSE BLOCK ######################### +""" +Module containing the UniversalDetector detector class, which is the primary +class a user of ``chardet`` should use. + +:author: Mark Pilgrim (initial port to Python) +:author: Shy Shalom (original C code) +:author: Dan Blanchard (major refactoring for 3.0) +:author: Ian Cordasco +""" + + +import codecs +import logging +import re + +from .charsetgroupprober import CharSetGroupProber +from .enums import InputState, LanguageFilter, ProbingState +from .escprober import EscCharSetProber +from .latin1prober import Latin1Prober +from .mbcsgroupprober import MBCSGroupProber +from .sbcsgroupprober import SBCSGroupProber + + +class UniversalDetector(object): + """ + The ``UniversalDetector`` class underlies the ``chardet.detect`` function + and coordinates all of the different charset probers. + + To get a ``dict`` containing an encoding and its confidence, you can simply + run: + + .. code:: + + u = UniversalDetector() + u.feed(some_bytes) + u.close() + detected = u.result + + """ + + MINIMUM_THRESHOLD = 0.20 + HIGH_BYTE_DETECTOR = re.compile(b'[\x80-\xFF]') + ESC_DETECTOR = re.compile(b'(\033|~{)') + WIN_BYTE_DETECTOR = re.compile(b'[\x80-\x9F]') + ISO_WIN_MAP = {'iso-8859-1': 'Windows-1252', + 'iso-8859-2': 'Windows-1250', + 'iso-8859-5': 'Windows-1251', + 'iso-8859-6': 'Windows-1256', + 'iso-8859-7': 'Windows-1253', + 'iso-8859-8': 'Windows-1255', + 'iso-8859-9': 'Windows-1254', + 'iso-8859-13': 'Windows-1257'} + + def __init__(self, lang_filter=LanguageFilter.ALL): + self._esc_charset_prober = None + self._charset_probers = [] + self.result = None + self.done = None + self._got_data = None + self._input_state = None + self._last_char = None + self.lang_filter = lang_filter + self.logger = logging.getLogger(__name__) + self._has_win_bytes = None + self.reset() + + def reset(self): + """ + Reset the UniversalDetector and all of its probers back to their + initial states. This is called by ``__init__``, so you only need to + call this directly in between analyses of different documents. + """ + self.result = {'encoding': None, 'confidence': 0.0, 'language': None} + self.done = False + self._got_data = False + self._has_win_bytes = False + self._input_state = InputState.PURE_ASCII + self._last_char = b'' + if self._esc_charset_prober: + self._esc_charset_prober.reset() + for prober in self._charset_probers: + prober.reset() + + def feed(self, byte_str): + """ + Takes a chunk of a document and feeds it through all of the relevant + charset probers. + + After calling ``feed``, you can check the value of the ``done`` + attribute to see if you need to continue feeding the + ``UniversalDetector`` more data, or if it has made a prediction + (in the ``result`` attribute). + + .. note:: + You should always call ``close`` when you're done feeding in your + document if ``done`` is not already ``True``. + """ + if self.done: + return + + if not len(byte_str): + return + + if not isinstance(byte_str, bytearray): + byte_str = bytearray(byte_str) + + # First check for known BOMs, since these are guaranteed to be correct + if not self._got_data: + # If the data starts with BOM, we know it is UTF + if byte_str.startswith(codecs.BOM_UTF8): + # EF BB BF UTF-8 with BOM + self.result = {'encoding': "UTF-8-SIG", + 'confidence': 1.0, + 'language': ''} + elif byte_str.startswith((codecs.BOM_UTF32_LE, + codecs.BOM_UTF32_BE)): + # FF FE 00 00 UTF-32, little-endian BOM + # 00 00 FE FF UTF-32, big-endian BOM + self.result = {'encoding': "UTF-32", + 'confidence': 1.0, + 'language': ''} + elif byte_str.startswith(b'\xFE\xFF\x00\x00'): + # FE FF 00 00 UCS-4, unusual octet order BOM (3412) + self.result = {'encoding': "X-ISO-10646-UCS-4-3412", + 'confidence': 1.0, + 'language': ''} + elif byte_str.startswith(b'\x00\x00\xFF\xFE'): + # 00 00 FF FE UCS-4, unusual octet order BOM (2143) + self.result = {'encoding': "X-ISO-10646-UCS-4-2143", + 'confidence': 1.0, + 'language': ''} + elif byte_str.startswith((codecs.BOM_LE, codecs.BOM_BE)): + # FF FE UTF-16, little endian BOM + # FE FF UTF-16, big endian BOM + self.result = {'encoding': "UTF-16", + 'confidence': 1.0, + 'language': ''} + + self._got_data = True + if self.result['encoding'] is not None: + self.done = True + return + + # If none of those matched and we've only see ASCII so far, check + # for high bytes and escape sequences + if self._input_state == InputState.PURE_ASCII: + if self.HIGH_BYTE_DETECTOR.search(byte_str): + self._input_state = InputState.HIGH_BYTE + elif self._input_state == InputState.PURE_ASCII and \ + self.ESC_DETECTOR.search(self._last_char + byte_str): + self._input_state = InputState.ESC_ASCII + + self._last_char = byte_str[-1:] + + # If we've seen escape sequences, use the EscCharSetProber, which + # uses a simple state machine to check for known escape sequences in + # HZ and ISO-2022 encodings, since those are the only encodings that + # use such sequences. + if self._input_state == InputState.ESC_ASCII: + if not self._esc_charset_prober: + self._esc_charset_prober = EscCharSetProber(self.lang_filter) + if self._esc_charset_prober.feed(byte_str) == ProbingState.FOUND_IT: + self.result = {'encoding': + self._esc_charset_prober.charset_name, + 'confidence': + self._esc_charset_prober.get_confidence(), + 'language': + self._esc_charset_prober.language} + self.done = True + # If we've seen high bytes (i.e., those with values greater than 127), + # we need to do more complicated checks using all our multi-byte and + # single-byte probers that are left. The single-byte probers + # use character bigram distributions to determine the encoding, whereas + # the multi-byte probers use a combination of character unigram and + # bigram distributions. + elif self._input_state == InputState.HIGH_BYTE: + if not self._charset_probers: + self._charset_probers = [MBCSGroupProber(self.lang_filter)] + # If we're checking non-CJK encodings, use single-byte prober + if self.lang_filter & LanguageFilter.NON_CJK: + self._charset_probers.append(SBCSGroupProber()) + self._charset_probers.append(Latin1Prober()) + for prober in self._charset_probers: + if prober.feed(byte_str) == ProbingState.FOUND_IT: + self.result = {'encoding': prober.charset_name, + 'confidence': prober.get_confidence(), + 'language': prober.language} + self.done = True + break + if self.WIN_BYTE_DETECTOR.search(byte_str): + self._has_win_bytes = True + + def close(self): + """ + Stop analyzing the current document and come up with a final + prediction. + + :returns: The ``result`` attribute, a ``dict`` with the keys + `encoding`, `confidence`, and `language`. + """ + # Don't bother with checks if we're already done + if self.done: + return self.result + self.done = True + + if not self._got_data: + self.logger.debug('no data received!') + + # Default to ASCII if it is all we've seen so far + elif self._input_state == InputState.PURE_ASCII: + self.result = {'encoding': 'ascii', + 'confidence': 1.0, + 'language': ''} + + # If we have seen non-ASCII, return the best that met MINIMUM_THRESHOLD + elif self._input_state == InputState.HIGH_BYTE: + prober_confidence = None + max_prober_confidence = 0.0 + max_prober = None + for prober in self._charset_probers: + if not prober: + continue + prober_confidence = prober.get_confidence() + if prober_confidence > max_prober_confidence: + max_prober_confidence = prober_confidence + max_prober = prober + if max_prober and (max_prober_confidence > self.MINIMUM_THRESHOLD): + charset_name = max_prober.charset_name + lower_charset_name = max_prober.charset_name.lower() + confidence = max_prober.get_confidence() + # Use Windows encoding name instead of ISO-8859 if we saw any + # extra Windows-specific bytes + if lower_charset_name.startswith('iso-8859'): + if self._has_win_bytes: + charset_name = self.ISO_WIN_MAP.get(lower_charset_name, + charset_name) + self.result = {'encoding': charset_name, + 'confidence': confidence, + 'language': max_prober.language} + + # Log all prober confidences if none met MINIMUM_THRESHOLD + if self.logger.getEffectiveLevel() == logging.DEBUG: + if self.result['encoding'] is None: + self.logger.debug('no probers hit minimum threshold') + for group_prober in self._charset_probers: + if not group_prober: + continue + if isinstance(group_prober, CharSetGroupProber): + for prober in group_prober.probers: + self.logger.debug('%s %s confidence = %s', + prober.charset_name, + prober.language, + prober.get_confidence()) + else: + self.logger.debug('%s %s confidence = %s', + prober.charset_name, + prober.language, + prober.get_confidence()) + return self.result diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/utf8prober.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/utf8prober.py new file mode 100644 index 0000000000000000000000000000000000000000..6c3196cc2d7e46e6756580267f5643c6f7b448dd --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/utf8prober.py @@ -0,0 +1,82 @@ +######################## BEGIN LICENSE BLOCK ######################## +# The Original Code is mozilla.org code. +# +# The Initial Developer of the Original Code is +# Netscape Communications Corporation. +# Portions created by the Initial Developer are Copyright (C) 1998 +# the Initial Developer. All Rights Reserved. +# +# Contributor(s): +# Mark Pilgrim - port to Python +# +# This library is free software; you can redistribute it and/or +# modify it under the terms of the GNU Lesser General Public +# License as published by the Free Software Foundation; either +# version 2.1 of the License, or (at your option) any later version. +# +# This library is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +# Lesser General Public License for more details. +# +# You should have received a copy of the GNU Lesser General Public +# License along with this library; if not, write to the Free Software +# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA +# 02110-1301 USA +######################### END LICENSE BLOCK ######################### + +from .charsetprober import CharSetProber +from .enums import ProbingState, MachineState +from .codingstatemachine import CodingStateMachine +from .mbcssm import UTF8_SM_MODEL + + + +class UTF8Prober(CharSetProber): + ONE_CHAR_PROB = 0.5 + + def __init__(self): + super(UTF8Prober, self).__init__() + self.coding_sm = CodingStateMachine(UTF8_SM_MODEL) + self._num_mb_chars = None + self.reset() + + def reset(self): + super(UTF8Prober, self).reset() + self.coding_sm.reset() + self._num_mb_chars = 0 + + @property + def charset_name(self): + return "utf-8" + + @property + def language(self): + return "" + + def feed(self, byte_str): + for c in byte_str: + coding_state = self.coding_sm.next_state(c) + if coding_state == MachineState.ERROR: + self._state = ProbingState.NOT_ME + break + elif coding_state == MachineState.ITS_ME: + self._state = ProbingState.FOUND_IT + break + elif coding_state == MachineState.START: + if self.coding_sm.get_current_charlen() >= 2: + self._num_mb_chars += 1 + + if self.state == ProbingState.DETECTING: + if self.get_confidence() > self.SHORTCUT_THRESHOLD: + self._state = ProbingState.FOUND_IT + + return self.state + + def get_confidence(self): + unlike = 0.99 + if self._num_mb_chars < 6: + unlike *= self.ONE_CHAR_PROB ** self._num_mb_chars + return 1.0 - unlike + else: + return unlike diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/version.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/version.py new file mode 100644 index 0000000000000000000000000000000000000000..bb2a34a70ea760ad1f58979acfc8fa466e30c511 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/chardet/version.py @@ -0,0 +1,9 @@ +""" +This module exists only to simplify retrieving the version number of chardet +from within setup.py and from chardet subpackages. + +:author: Dan Blanchard (dan.blanchard@gmail.com) +""" + +__version__ = "3.0.4" +VERSION = __version__.split('.') diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/_internal_utils.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/_internal_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..759d9a56ba0102bb3b7b3abfcfae6731a2ecc243 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/_internal_utils.py @@ -0,0 +1,42 @@ +# -*- coding: utf-8 -*- + +""" +requests._internal_utils +~~~~~~~~~~~~~~ + +Provides utility functions that are consumed internally by Requests +which depend on extremely few external helpers (such as compat) +""" + +from .compat import is_py2, builtin_str, str + + +def to_native_string(string, encoding='ascii'): + """Given a string object, regardless of type, returns a representation of + that string in the native string type, encoding and decoding where + necessary. This assumes ASCII unless told otherwise. + """ + if isinstance(string, builtin_str): + out = string + else: + if is_py2: + out = string.encode(encoding) + else: + out = string.decode(encoding) + + return out + + +def unicode_is_ascii(u_string): + """Determine if unicode string only contains ASCII characters. + + :param str u_string: unicode string to check. Must be unicode + and not Python 2 `str`. + :rtype: bool + """ + assert isinstance(u_string, str) + try: + u_string.encode('ascii') + return True + except UnicodeEncodeError: + return False diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/cookies.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/cookies.py new file mode 100644 index 0000000000000000000000000000000000000000..56fccd9c2570d2a31365ed11278fd1b6ecc2aa54 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/cookies.py @@ -0,0 +1,549 @@ +# -*- coding: utf-8 -*- + +""" +requests.cookies +~~~~~~~~~~~~~~~~ + +Compatibility code to be able to use `cookielib.CookieJar` with requests. + +requests.utils imports from here, so be careful with imports. +""" + +import copy +import time +import calendar + +from ._internal_utils import to_native_string +from .compat import cookielib, urlparse, urlunparse, Morsel, MutableMapping + +try: + import threading +except ImportError: + import dummy_threading as threading + + +class MockRequest(object): + """Wraps a `requests.Request` to mimic a `urllib2.Request`. + + The code in `cookielib.CookieJar` expects this interface in order to correctly + manage cookie policies, i.e., determine whether a cookie can be set, given the + domains of the request and the cookie. + + The original request object is read-only. The client is responsible for collecting + the new headers via `get_new_headers()` and interpreting them appropriately. You + probably want `get_cookie_header`, defined below. + """ + + def __init__(self, request): + self._r = request + self._new_headers = {} + self.type = urlparse(self._r.url).scheme + + def get_type(self): + return self.type + + def get_host(self): + return urlparse(self._r.url).netloc + + def get_origin_req_host(self): + return self.get_host() + + def get_full_url(self): + # Only return the response's URL if the user hadn't set the Host + # header + if not self._r.headers.get('Host'): + return self._r.url + # If they did set it, retrieve it and reconstruct the expected domain + host = to_native_string(self._r.headers['Host'], encoding='utf-8') + parsed = urlparse(self._r.url) + # Reconstruct the URL as we expect it + return urlunparse([ + parsed.scheme, host, parsed.path, parsed.params, parsed.query, + parsed.fragment + ]) + + def is_unverifiable(self): + return True + + def has_header(self, name): + return name in self._r.headers or name in self._new_headers + + def get_header(self, name, default=None): + return self._r.headers.get(name, self._new_headers.get(name, default)) + + def add_header(self, key, val): + """cookielib has no legitimate use for this method; add it back if you find one.""" + raise NotImplementedError("Cookie headers should be added with add_unredirected_header()") + + def add_unredirected_header(self, name, value): + self._new_headers[name] = value + + def get_new_headers(self): + return self._new_headers + + @property + def unverifiable(self): + return self.is_unverifiable() + + @property + def origin_req_host(self): + return self.get_origin_req_host() + + @property + def host(self): + return self.get_host() + + +class MockResponse(object): + """Wraps a `httplib.HTTPMessage` to mimic a `urllib.addinfourl`. + + ...what? Basically, expose the parsed HTTP headers from the server response + the way `cookielib` expects to see them. + """ + + def __init__(self, headers): + """Make a MockResponse for `cookielib` to read. + + :param headers: a httplib.HTTPMessage or analogous carrying the headers + """ + self._headers = headers + + def info(self): + return self._headers + + def getheaders(self, name): + self._headers.getheaders(name) + + +def extract_cookies_to_jar(jar, request, response): + """Extract the cookies from the response into a CookieJar. + + :param jar: cookielib.CookieJar (not necessarily a RequestsCookieJar) + :param request: our own requests.Request object + :param response: urllib3.HTTPResponse object + """ + if not (hasattr(response, '_original_response') and + response._original_response): + return + # the _original_response field is the wrapped httplib.HTTPResponse object, + req = MockRequest(request) + # pull out the HTTPMessage with the headers and put it in the mock: + res = MockResponse(response._original_response.msg) + jar.extract_cookies(res, req) + + +def get_cookie_header(jar, request): + """ + Produce an appropriate Cookie header string to be sent with `request`, or None. + + :rtype: str + """ + r = MockRequest(request) + jar.add_cookie_header(r) + return r.get_new_headers().get('Cookie') + + +def remove_cookie_by_name(cookiejar, name, domain=None, path=None): + """Unsets a cookie by name, by default over all domains and paths. + + Wraps CookieJar.clear(), is O(n). + """ + clearables = [] + for cookie in cookiejar: + if cookie.name != name: + continue + if domain is not None and domain != cookie.domain: + continue + if path is not None and path != cookie.path: + continue + clearables.append((cookie.domain, cookie.path, cookie.name)) + + for domain, path, name in clearables: + cookiejar.clear(domain, path, name) + + +class CookieConflictError(RuntimeError): + """There are two cookies that meet the criteria specified in the cookie jar. + Use .get and .set and include domain and path args in order to be more specific. + """ + + +class RequestsCookieJar(cookielib.CookieJar, MutableMapping): + """Compatibility class; is a cookielib.CookieJar, but exposes a dict + interface. + + This is the CookieJar we create by default for requests and sessions that + don't specify one, since some clients may expect response.cookies and + session.cookies to support dict operations. + + Requests does not use the dict interface internally; it's just for + compatibility with external client code. All requests code should work + out of the box with externally provided instances of ``CookieJar``, e.g. + ``LWPCookieJar`` and ``FileCookieJar``. + + Unlike a regular CookieJar, this class is pickleable. + + .. warning:: dictionary operations that are normally O(1) may be O(n). + """ + + def get(self, name, default=None, domain=None, path=None): + """Dict-like get() that also supports optional domain and path args in + order to resolve naming collisions from using one cookie jar over + multiple domains. + + .. warning:: operation is O(n), not O(1). + """ + try: + return self._find_no_duplicates(name, domain, path) + except KeyError: + return default + + def set(self, name, value, **kwargs): + """Dict-like set() that also supports optional domain and path args in + order to resolve naming collisions from using one cookie jar over + multiple domains. + """ + # support client code that unsets cookies by assignment of a None value: + if value is None: + remove_cookie_by_name(self, name, domain=kwargs.get('domain'), path=kwargs.get('path')) + return + + if isinstance(value, Morsel): + c = morsel_to_cookie(value) + else: + c = create_cookie(name, value, **kwargs) + self.set_cookie(c) + return c + + def iterkeys(self): + """Dict-like iterkeys() that returns an iterator of names of cookies + from the jar. + + .. seealso:: itervalues() and iteritems(). + """ + for cookie in iter(self): + yield cookie.name + + def keys(self): + """Dict-like keys() that returns a list of names of cookies from the + jar. + + .. seealso:: values() and items(). + """ + return list(self.iterkeys()) + + def itervalues(self): + """Dict-like itervalues() that returns an iterator of values of cookies + from the jar. + + .. seealso:: iterkeys() and iteritems(). + """ + for cookie in iter(self): + yield cookie.value + + def values(self): + """Dict-like values() that returns a list of values of cookies from the + jar. + + .. seealso:: keys() and items(). + """ + return list(self.itervalues()) + + def iteritems(self): + """Dict-like iteritems() that returns an iterator of name-value tuples + from the jar. + + .. seealso:: iterkeys() and itervalues(). + """ + for cookie in iter(self): + yield cookie.name, cookie.value + + def items(self): + """Dict-like items() that returns a list of name-value tuples from the + jar. Allows client-code to call ``dict(RequestsCookieJar)`` and get a + vanilla python dict of key value pairs. + + .. seealso:: keys() and values(). + """ + return list(self.iteritems()) + + def list_domains(self): + """Utility method to list all the domains in the jar.""" + domains = [] + for cookie in iter(self): + if cookie.domain not in domains: + domains.append(cookie.domain) + return domains + + def list_paths(self): + """Utility method to list all the paths in the jar.""" + paths = [] + for cookie in iter(self): + if cookie.path not in paths: + paths.append(cookie.path) + return paths + + def multiple_domains(self): + """Returns True if there are multiple domains in the jar. + Returns False otherwise. + + :rtype: bool + """ + domains = [] + for cookie in iter(self): + if cookie.domain is not None and cookie.domain in domains: + return True + domains.append(cookie.domain) + return False # there is only one domain in jar + + def get_dict(self, domain=None, path=None): + """Takes as an argument an optional domain and path and returns a plain + old Python dict of name-value pairs of cookies that meet the + requirements. + + :rtype: dict + """ + dictionary = {} + for cookie in iter(self): + if ( + (domain is None or cookie.domain == domain) and + (path is None or cookie.path == path) + ): + dictionary[cookie.name] = cookie.value + return dictionary + + def __contains__(self, name): + try: + return super(RequestsCookieJar, self).__contains__(name) + except CookieConflictError: + return True + + def __getitem__(self, name): + """Dict-like __getitem__() for compatibility with client code. Throws + exception if there are more than one cookie with name. In that case, + use the more explicit get() method instead. + + .. warning:: operation is O(n), not O(1). + """ + return self._find_no_duplicates(name) + + def __setitem__(self, name, value): + """Dict-like __setitem__ for compatibility with client code. Throws + exception if there is already a cookie of that name in the jar. In that + case, use the more explicit set() method instead. + """ + self.set(name, value) + + def __delitem__(self, name): + """Deletes a cookie given a name. Wraps ``cookielib.CookieJar``'s + ``remove_cookie_by_name()``. + """ + remove_cookie_by_name(self, name) + + def set_cookie(self, cookie, *args, **kwargs): + if hasattr(cookie.value, 'startswith') and cookie.value.startswith('"') and cookie.value.endswith('"'): + cookie.value = cookie.value.replace('\\"', '') + return super(RequestsCookieJar, self).set_cookie(cookie, *args, **kwargs) + + def update(self, other): + """Updates this jar with cookies from another CookieJar or dict-like""" + if isinstance(other, cookielib.CookieJar): + for cookie in other: + self.set_cookie(copy.copy(cookie)) + else: + super(RequestsCookieJar, self).update(other) + + def _find(self, name, domain=None, path=None): + """Requests uses this method internally to get cookie values. + + If there are conflicting cookies, _find arbitrarily chooses one. + See _find_no_duplicates if you want an exception thrown if there are + conflicting cookies. + + :param name: a string containing name of cookie + :param domain: (optional) string containing domain of cookie + :param path: (optional) string containing path of cookie + :return: cookie.value + """ + for cookie in iter(self): + if cookie.name == name: + if domain is None or cookie.domain == domain: + if path is None or cookie.path == path: + return cookie.value + + raise KeyError('name=%r, domain=%r, path=%r' % (name, domain, path)) + + def _find_no_duplicates(self, name, domain=None, path=None): + """Both ``__get_item__`` and ``get`` call this function: it's never + used elsewhere in Requests. + + :param name: a string containing name of cookie + :param domain: (optional) string containing domain of cookie + :param path: (optional) string containing path of cookie + :raises KeyError: if cookie is not found + :raises CookieConflictError: if there are multiple cookies + that match name and optionally domain and path + :return: cookie.value + """ + toReturn = None + for cookie in iter(self): + if cookie.name == name: + if domain is None or cookie.domain == domain: + if path is None or cookie.path == path: + if toReturn is not None: # if there are multiple cookies that meet passed in criteria + raise CookieConflictError('There are multiple cookies with name, %r' % (name)) + toReturn = cookie.value # we will eventually return this as long as no cookie conflict + + if toReturn: + return toReturn + raise KeyError('name=%r, domain=%r, path=%r' % (name, domain, path)) + + def __getstate__(self): + """Unlike a normal CookieJar, this class is pickleable.""" + state = self.__dict__.copy() + # remove the unpickleable RLock object + state.pop('_cookies_lock') + return state + + def __setstate__(self, state): + """Unlike a normal CookieJar, this class is pickleable.""" + self.__dict__.update(state) + if '_cookies_lock' not in self.__dict__: + self._cookies_lock = threading.RLock() + + def copy(self): + """Return a copy of this RequestsCookieJar.""" + new_cj = RequestsCookieJar() + new_cj.set_policy(self.get_policy()) + new_cj.update(self) + return new_cj + + def get_policy(self): + """Return the CookiePolicy instance used.""" + return self._policy + + +def _copy_cookie_jar(jar): + if jar is None: + return None + + if hasattr(jar, 'copy'): + # We're dealing with an instance of RequestsCookieJar + return jar.copy() + # We're dealing with a generic CookieJar instance + new_jar = copy.copy(jar) + new_jar.clear() + for cookie in jar: + new_jar.set_cookie(copy.copy(cookie)) + return new_jar + + +def create_cookie(name, value, **kwargs): + """Make a cookie from underspecified parameters. + + By default, the pair of `name` and `value` will be set for the domain '' + and sent on every request (this is sometimes called a "supercookie"). + """ + result = { + 'version': 0, + 'name': name, + 'value': value, + 'port': None, + 'domain': '', + 'path': '/', + 'secure': False, + 'expires': None, + 'discard': True, + 'comment': None, + 'comment_url': None, + 'rest': {'HttpOnly': None}, + 'rfc2109': False, + } + + badargs = set(kwargs) - set(result) + if badargs: + err = 'create_cookie() got unexpected keyword arguments: %s' + raise TypeError(err % list(badargs)) + + result.update(kwargs) + result['port_specified'] = bool(result['port']) + result['domain_specified'] = bool(result['domain']) + result['domain_initial_dot'] = result['domain'].startswith('.') + result['path_specified'] = bool(result['path']) + + return cookielib.Cookie(**result) + + +def morsel_to_cookie(morsel): + """Convert a Morsel object into a Cookie containing the one k/v pair.""" + + expires = None + if morsel['max-age']: + try: + expires = int(time.time() + int(morsel['max-age'])) + except ValueError: + raise TypeError('max-age: %s must be integer' % morsel['max-age']) + elif morsel['expires']: + time_template = '%a, %d-%b-%Y %H:%M:%S GMT' + expires = calendar.timegm( + time.strptime(morsel['expires'], time_template) + ) + return create_cookie( + comment=morsel['comment'], + comment_url=bool(morsel['comment']), + discard=False, + domain=morsel['domain'], + expires=expires, + name=morsel.key, + path=morsel['path'], + port=None, + rest={'HttpOnly': morsel['httponly']}, + rfc2109=False, + secure=bool(morsel['secure']), + value=morsel.value, + version=morsel['version'] or 0, + ) + + +def cookiejar_from_dict(cookie_dict, cookiejar=None, overwrite=True): + """Returns a CookieJar from a key/value dictionary. + + :param cookie_dict: Dict of key/values to insert into CookieJar. + :param cookiejar: (optional) A cookiejar to add the cookies to. + :param overwrite: (optional) If False, will not replace cookies + already in the jar with new ones. + :rtype: CookieJar + """ + if cookiejar is None: + cookiejar = RequestsCookieJar() + + if cookie_dict is not None: + names_from_jar = [cookie.name for cookie in cookiejar] + for name in cookie_dict: + if overwrite or (name not in names_from_jar): + cookiejar.set_cookie(create_cookie(name, cookie_dict[name])) + + return cookiejar + + +def merge_cookies(cookiejar, cookies): + """Add cookies to cookiejar and returns a merged CookieJar. + + :param cookiejar: CookieJar object to add the cookies to. + :param cookies: Dictionary or CookieJar object to be added. + :rtype: CookieJar + """ + if not isinstance(cookiejar, cookielib.CookieJar): + raise ValueError('You can only merge into CookieJar') + + if isinstance(cookies, dict): + cookiejar = cookiejar_from_dict( + cookies, cookiejar=cookiejar, overwrite=False) + elif isinstance(cookies, cookielib.CookieJar): + try: + cookiejar.update(cookies) + except AttributeError: + for cookie_in_jar in cookies: + cookiejar.set_cookie(cookie_in_jar) + + return cookiejar diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/exceptions.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..a91e1fd114ef372efa2d1f02d99f114db913b7e6 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/exceptions.py @@ -0,0 +1,126 @@ +# -*- coding: utf-8 -*- + +""" +requests.exceptions +~~~~~~~~~~~~~~~~~~~ + +This module contains the set of Requests' exceptions. +""" +from pip._vendor.urllib3.exceptions import HTTPError as BaseHTTPError + + +class RequestException(IOError): + """There was an ambiguous exception that occurred while handling your + request. + """ + + def __init__(self, *args, **kwargs): + """Initialize RequestException with `request` and `response` objects.""" + response = kwargs.pop('response', None) + self.response = response + self.request = kwargs.pop('request', None) + if (response is not None and not self.request and + hasattr(response, 'request')): + self.request = self.response.request + super(RequestException, self).__init__(*args, **kwargs) + + +class HTTPError(RequestException): + """An HTTP error occurred.""" + + +class ConnectionError(RequestException): + """A Connection error occurred.""" + + +class ProxyError(ConnectionError): + """A proxy error occurred.""" + + +class SSLError(ConnectionError): + """An SSL error occurred.""" + + +class Timeout(RequestException): + """The request timed out. + + Catching this error will catch both + :exc:`~requests.exceptions.ConnectTimeout` and + :exc:`~requests.exceptions.ReadTimeout` errors. + """ + + +class ConnectTimeout(ConnectionError, Timeout): + """The request timed out while trying to connect to the remote server. + + Requests that produced this error are safe to retry. + """ + + +class ReadTimeout(Timeout): + """The server did not send any data in the allotted amount of time.""" + + +class URLRequired(RequestException): + """A valid URL is required to make a request.""" + + +class TooManyRedirects(RequestException): + """Too many redirects.""" + + +class MissingSchema(RequestException, ValueError): + """The URL schema (e.g. http or https) is missing.""" + + +class InvalidSchema(RequestException, ValueError): + """See defaults.py for valid schemas.""" + + +class InvalidURL(RequestException, ValueError): + """The URL provided was somehow invalid.""" + + +class InvalidHeader(RequestException, ValueError): + """The header value provided was somehow invalid.""" + + +class InvalidProxyURL(InvalidURL): + """The proxy URL provided is invalid.""" + + +class ChunkedEncodingError(RequestException): + """The server declared chunked encoding but sent an invalid chunk.""" + + +class ContentDecodingError(RequestException, BaseHTTPError): + """Failed to decode response content""" + + +class StreamConsumedError(RequestException, TypeError): + """The content for this response was already consumed""" + + +class RetryError(RequestException): + """Custom retries logic failed""" + + +class UnrewindableBodyError(RequestException): + """Requests encountered an error when trying to rewind a body""" + +# Warnings + + +class RequestsWarning(Warning): + """Base warning for Requests.""" + pass + + +class FileModeWarning(RequestsWarning, DeprecationWarning): + """A file was opened in text mode, but Requests determined its binary length.""" + pass + + +class RequestsDependencyWarning(RequestsWarning): + """An imported dependency doesn't match the expected version range.""" + pass diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/help.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/help.py new file mode 100644 index 0000000000000000000000000000000000000000..3c3072ba1419b4e0f183c5de1d0c39d166f2472c --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/help.py @@ -0,0 +1,119 @@ +"""Module containing bug report helper(s).""" +from __future__ import print_function + +import json +import platform +import sys +import ssl + +from pip._vendor import idna +from pip._vendor import urllib3 +from pip._vendor import chardet + +from . import __version__ as requests_version + +try: + from pip._vendor.urllib3.contrib import pyopenssl +except ImportError: + pyopenssl = None + OpenSSL = None + cryptography = None +else: + import OpenSSL + import cryptography + + +def _implementation(): + """Return a dict with the Python implementation and version. + + Provide both the name and the version of the Python implementation + currently running. For example, on CPython 2.7.5 it will return + {'name': 'CPython', 'version': '2.7.5'}. + + This function works best on CPython and PyPy: in particular, it probably + doesn't work for Jython or IronPython. Future investigation should be done + to work out the correct shape of the code for those platforms. + """ + implementation = platform.python_implementation() + + if implementation == 'CPython': + implementation_version = platform.python_version() + elif implementation == 'PyPy': + implementation_version = '%s.%s.%s' % (sys.pypy_version_info.major, + sys.pypy_version_info.minor, + sys.pypy_version_info.micro) + if sys.pypy_version_info.releaselevel != 'final': + implementation_version = ''.join([ + implementation_version, sys.pypy_version_info.releaselevel + ]) + elif implementation == 'Jython': + implementation_version = platform.python_version() # Complete Guess + elif implementation == 'IronPython': + implementation_version = platform.python_version() # Complete Guess + else: + implementation_version = 'Unknown' + + return {'name': implementation, 'version': implementation_version} + + +def info(): + """Generate information for a bug report.""" + try: + platform_info = { + 'system': platform.system(), + 'release': platform.release(), + } + except IOError: + platform_info = { + 'system': 'Unknown', + 'release': 'Unknown', + } + + implementation_info = _implementation() + urllib3_info = {'version': urllib3.__version__} + chardet_info = {'version': chardet.__version__} + + pyopenssl_info = { + 'version': None, + 'openssl_version': '', + } + if OpenSSL: + pyopenssl_info = { + 'version': OpenSSL.__version__, + 'openssl_version': '%x' % OpenSSL.SSL.OPENSSL_VERSION_NUMBER, + } + cryptography_info = { + 'version': getattr(cryptography, '__version__', ''), + } + idna_info = { + 'version': getattr(idna, '__version__', ''), + } + + system_ssl = ssl.OPENSSL_VERSION_NUMBER + system_ssl_info = { + 'version': '%x' % system_ssl if system_ssl is not None else '' + } + + return { + 'platform': platform_info, + 'implementation': implementation_info, + 'system_ssl': system_ssl_info, + 'using_pyopenssl': pyopenssl is not None, + 'pyOpenSSL': pyopenssl_info, + 'urllib3': urllib3_info, + 'chardet': chardet_info, + 'cryptography': cryptography_info, + 'idna': idna_info, + 'requests': { + 'version': requests_version, + }, + } + + +def main(): + """Pretty-print the bug information as JSON.""" + print(json.dumps(info(), sort_keys=True, indent=2)) + + +if __name__ == '__main__': + main() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/models.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/models.py new file mode 100644 index 0000000000000000000000000000000000000000..0839957475d44b590bf3894edda89d1ce610028d --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/models.py @@ -0,0 +1,953 @@ +# -*- coding: utf-8 -*- + +""" +requests.models +~~~~~~~~~~~~~~~ + +This module contains the primary objects that power Requests. +""" + +import datetime +import sys + +# Import encoding now, to avoid implicit import later. +# Implicit import within threads may cause LookupError when standard library is in a ZIP, +# such as in Embedded Python. See https://github.com/requests/requests/issues/3578. +import encodings.idna + +from pip._vendor.urllib3.fields import RequestField +from pip._vendor.urllib3.filepost import encode_multipart_formdata +from pip._vendor.urllib3.util import parse_url +from pip._vendor.urllib3.exceptions import ( + DecodeError, ReadTimeoutError, ProtocolError, LocationParseError) + +from io import UnsupportedOperation +from .hooks import default_hooks +from .structures import CaseInsensitiveDict + +from .auth import HTTPBasicAuth +from .cookies import cookiejar_from_dict, get_cookie_header, _copy_cookie_jar +from .exceptions import ( + HTTPError, MissingSchema, InvalidURL, ChunkedEncodingError, + ContentDecodingError, ConnectionError, StreamConsumedError) +from ._internal_utils import to_native_string, unicode_is_ascii +from .utils import ( + guess_filename, get_auth_from_url, requote_uri, + stream_decode_response_unicode, to_key_val_list, parse_header_links, + iter_slices, guess_json_utf, super_len, check_header_validity) +from .compat import ( + Callable, Mapping, + cookielib, urlunparse, urlsplit, urlencode, str, bytes, + is_py2, chardet, builtin_str, basestring) +from .compat import json as complexjson +from .status_codes import codes + +#: The set of HTTP status codes that indicate an automatically +#: processable redirect. +REDIRECT_STATI = ( + codes.moved, # 301 + codes.found, # 302 + codes.other, # 303 + codes.temporary_redirect, # 307 + codes.permanent_redirect, # 308 +) + +DEFAULT_REDIRECT_LIMIT = 30 +CONTENT_CHUNK_SIZE = 10 * 1024 +ITER_CHUNK_SIZE = 512 + + +class RequestEncodingMixin(object): + @property + def path_url(self): + """Build the path URL to use.""" + + url = [] + + p = urlsplit(self.url) + + path = p.path + if not path: + path = '/' + + url.append(path) + + query = p.query + if query: + url.append('?') + url.append(query) + + return ''.join(url) + + @staticmethod + def _encode_params(data): + """Encode parameters in a piece of data. + + Will successfully encode parameters when passed as a dict or a list of + 2-tuples. Order is retained if data is a list of 2-tuples but arbitrary + if parameters are supplied as a dict. + """ + + if isinstance(data, (str, bytes)): + return data + elif hasattr(data, 'read'): + return data + elif hasattr(data, '__iter__'): + result = [] + for k, vs in to_key_val_list(data): + if isinstance(vs, basestring) or not hasattr(vs, '__iter__'): + vs = [vs] + for v in vs: + if v is not None: + result.append( + (k.encode('utf-8') if isinstance(k, str) else k, + v.encode('utf-8') if isinstance(v, str) else v)) + return urlencode(result, doseq=True) + else: + return data + + @staticmethod + def _encode_files(files, data): + """Build the body for a multipart/form-data request. + + Will successfully encode files when passed as a dict or a list of + tuples. Order is retained if data is a list of tuples but arbitrary + if parameters are supplied as a dict. + The tuples may be 2-tuples (filename, fileobj), 3-tuples (filename, fileobj, contentype) + or 4-tuples (filename, fileobj, contentype, custom_headers). + """ + if (not files): + raise ValueError("Files must be provided.") + elif isinstance(data, basestring): + raise ValueError("Data must not be a string.") + + new_fields = [] + fields = to_key_val_list(data or {}) + files = to_key_val_list(files or {}) + + for field, val in fields: + if isinstance(val, basestring) or not hasattr(val, '__iter__'): + val = [val] + for v in val: + if v is not None: + # Don't call str() on bytestrings: in Py3 it all goes wrong. + if not isinstance(v, bytes): + v = str(v) + + new_fields.append( + (field.decode('utf-8') if isinstance(field, bytes) else field, + v.encode('utf-8') if isinstance(v, str) else v)) + + for (k, v) in files: + # support for explicit filename + ft = None + fh = None + if isinstance(v, (tuple, list)): + if len(v) == 2: + fn, fp = v + elif len(v) == 3: + fn, fp, ft = v + else: + fn, fp, ft, fh = v + else: + fn = guess_filename(v) or k + fp = v + + if isinstance(fp, (str, bytes, bytearray)): + fdata = fp + elif hasattr(fp, 'read'): + fdata = fp.read() + elif fp is None: + continue + else: + fdata = fp + + rf = RequestField(name=k, data=fdata, filename=fn, headers=fh) + rf.make_multipart(content_type=ft) + new_fields.append(rf) + + body, content_type = encode_multipart_formdata(new_fields) + + return body, content_type + + +class RequestHooksMixin(object): + def register_hook(self, event, hook): + """Properly register a hook.""" + + if event not in self.hooks: + raise ValueError('Unsupported event specified, with event name "%s"' % (event)) + + if isinstance(hook, Callable): + self.hooks[event].append(hook) + elif hasattr(hook, '__iter__'): + self.hooks[event].extend(h for h in hook if isinstance(h, Callable)) + + def deregister_hook(self, event, hook): + """Deregister a previously registered hook. + Returns True if the hook existed, False if not. + """ + + try: + self.hooks[event].remove(hook) + return True + except ValueError: + return False + + +class Request(RequestHooksMixin): + """A user-created :class:`Request ` object. + + Used to prepare a :class:`PreparedRequest `, which is sent to the server. + + :param method: HTTP method to use. + :param url: URL to send. + :param headers: dictionary of headers to send. + :param files: dictionary of {filename: fileobject} files to multipart upload. + :param data: the body to attach to the request. If a dictionary or + list of tuples ``[(key, value)]`` is provided, form-encoding will + take place. + :param json: json for the body to attach to the request (if files or data is not specified). + :param params: URL parameters to append to the URL. If a dictionary or + list of tuples ``[(key, value)]`` is provided, form-encoding will + take place. + :param auth: Auth handler or (user, pass) tuple. + :param cookies: dictionary or CookieJar of cookies to attach to this request. + :param hooks: dictionary of callback hooks, for internal usage. + + Usage:: + + >>> import requests + >>> req = requests.Request('GET', 'https://httpbin.org/get') + >>> req.prepare() + + """ + + def __init__(self, + method=None, url=None, headers=None, files=None, data=None, + params=None, auth=None, cookies=None, hooks=None, json=None): + + # Default empty dicts for dict params. + data = [] if data is None else data + files = [] if files is None else files + headers = {} if headers is None else headers + params = {} if params is None else params + hooks = {} if hooks is None else hooks + + self.hooks = default_hooks() + for (k, v) in list(hooks.items()): + self.register_hook(event=k, hook=v) + + self.method = method + self.url = url + self.headers = headers + self.files = files + self.data = data + self.json = json + self.params = params + self.auth = auth + self.cookies = cookies + + def __repr__(self): + return '' % (self.method) + + def prepare(self): + """Constructs a :class:`PreparedRequest ` for transmission and returns it.""" + p = PreparedRequest() + p.prepare( + method=self.method, + url=self.url, + headers=self.headers, + files=self.files, + data=self.data, + json=self.json, + params=self.params, + auth=self.auth, + cookies=self.cookies, + hooks=self.hooks, + ) + return p + + +class PreparedRequest(RequestEncodingMixin, RequestHooksMixin): + """The fully mutable :class:`PreparedRequest ` object, + containing the exact bytes that will be sent to the server. + + Generated from either a :class:`Request ` object or manually. + + Usage:: + + >>> import requests + >>> req = requests.Request('GET', 'https://httpbin.org/get') + >>> r = req.prepare() + + + >>> s = requests.Session() + >>> s.send(r) + + """ + + def __init__(self): + #: HTTP verb to send to the server. + self.method = None + #: HTTP URL to send the request to. + self.url = None + #: dictionary of HTTP headers. + self.headers = None + # The `CookieJar` used to create the Cookie header will be stored here + # after prepare_cookies is called + self._cookies = None + #: request body to send to the server. + self.body = None + #: dictionary of callback hooks, for internal usage. + self.hooks = default_hooks() + #: integer denoting starting position of a readable file-like body. + self._body_position = None + + def prepare(self, + method=None, url=None, headers=None, files=None, data=None, + params=None, auth=None, cookies=None, hooks=None, json=None): + """Prepares the entire request with the given parameters.""" + + self.prepare_method(method) + self.prepare_url(url, params) + self.prepare_headers(headers) + self.prepare_cookies(cookies) + self.prepare_body(data, files, json) + self.prepare_auth(auth, url) + + # Note that prepare_auth must be last to enable authentication schemes + # such as OAuth to work on a fully prepared request. + + # This MUST go after prepare_auth. Authenticators could add a hook + self.prepare_hooks(hooks) + + def __repr__(self): + return '' % (self.method) + + def copy(self): + p = PreparedRequest() + p.method = self.method + p.url = self.url + p.headers = self.headers.copy() if self.headers is not None else None + p._cookies = _copy_cookie_jar(self._cookies) + p.body = self.body + p.hooks = self.hooks + p._body_position = self._body_position + return p + + def prepare_method(self, method): + """Prepares the given HTTP method.""" + self.method = method + if self.method is not None: + self.method = to_native_string(self.method.upper()) + + @staticmethod + def _get_idna_encoded_host(host): + from pip._vendor import idna + + try: + host = idna.encode(host, uts46=True).decode('utf-8') + except idna.IDNAError: + raise UnicodeError + return host + + def prepare_url(self, url, params): + """Prepares the given HTTP URL.""" + #: Accept objects that have string representations. + #: We're unable to blindly call unicode/str functions + #: as this will include the bytestring indicator (b'') + #: on python 3.x. + #: https://github.com/requests/requests/pull/2238 + if isinstance(url, bytes): + url = url.decode('utf8') + else: + url = unicode(url) if is_py2 else str(url) + + # Remove leading whitespaces from url + url = url.lstrip() + + # Don't do any URL preparation for non-HTTP schemes like `mailto`, + # `data` etc to work around exceptions from `url_parse`, which + # handles RFC 3986 only. + if ':' in url and not url.lower().startswith('http'): + self.url = url + return + + # Support for unicode domain names and paths. + try: + scheme, auth, host, port, path, query, fragment = parse_url(url) + except LocationParseError as e: + raise InvalidURL(*e.args) + + if not scheme: + error = ("Invalid URL {0!r}: No schema supplied. Perhaps you meant http://{0}?") + error = error.format(to_native_string(url, 'utf8')) + + raise MissingSchema(error) + + if not host: + raise InvalidURL("Invalid URL %r: No host supplied" % url) + + # In general, we want to try IDNA encoding the hostname if the string contains + # non-ASCII characters. This allows users to automatically get the correct IDNA + # behaviour. For strings containing only ASCII characters, we need to also verify + # it doesn't start with a wildcard (*), before allowing the unencoded hostname. + if not unicode_is_ascii(host): + try: + host = self._get_idna_encoded_host(host) + except UnicodeError: + raise InvalidURL('URL has an invalid label.') + elif host.startswith(u'*'): + raise InvalidURL('URL has an invalid label.') + + # Carefully reconstruct the network location + netloc = auth or '' + if netloc: + netloc += '@' + netloc += host + if port: + netloc += ':' + str(port) + + # Bare domains aren't valid URLs. + if not path: + path = '/' + + if is_py2: + if isinstance(scheme, str): + scheme = scheme.encode('utf-8') + if isinstance(netloc, str): + netloc = netloc.encode('utf-8') + if isinstance(path, str): + path = path.encode('utf-8') + if isinstance(query, str): + query = query.encode('utf-8') + if isinstance(fragment, str): + fragment = fragment.encode('utf-8') + + if isinstance(params, (str, bytes)): + params = to_native_string(params) + + enc_params = self._encode_params(params) + if enc_params: + if query: + query = '%s&%s' % (query, enc_params) + else: + query = enc_params + + url = requote_uri(urlunparse([scheme, netloc, path, None, query, fragment])) + self.url = url + + def prepare_headers(self, headers): + """Prepares the given HTTP headers.""" + + self.headers = CaseInsensitiveDict() + if headers: + for header in headers.items(): + # Raise exception on invalid header value. + check_header_validity(header) + name, value = header + self.headers[to_native_string(name)] = value + + def prepare_body(self, data, files, json=None): + """Prepares the given HTTP body data.""" + + # Check if file, fo, generator, iterator. + # If not, run through normal process. + + # Nottin' on you. + body = None + content_type = None + + if not data and json is not None: + # urllib3 requires a bytes-like body. Python 2's json.dumps + # provides this natively, but Python 3 gives a Unicode string. + content_type = 'application/json' + body = complexjson.dumps(json) + if not isinstance(body, bytes): + body = body.encode('utf-8') + + is_stream = all([ + hasattr(data, '__iter__'), + not isinstance(data, (basestring, list, tuple, Mapping)) + ]) + + try: + length = super_len(data) + except (TypeError, AttributeError, UnsupportedOperation): + length = None + + if is_stream: + body = data + + if getattr(body, 'tell', None) is not None: + # Record the current file position before reading. + # This will allow us to rewind a file in the event + # of a redirect. + try: + self._body_position = body.tell() + except (IOError, OSError): + # This differentiates from None, allowing us to catch + # a failed `tell()` later when trying to rewind the body + self._body_position = object() + + if files: + raise NotImplementedError('Streamed bodies and files are mutually exclusive.') + + if length: + self.headers['Content-Length'] = builtin_str(length) + else: + self.headers['Transfer-Encoding'] = 'chunked' + else: + # Multi-part file uploads. + if files: + (body, content_type) = self._encode_files(files, data) + else: + if data: + body = self._encode_params(data) + if isinstance(data, basestring) or hasattr(data, 'read'): + content_type = None + else: + content_type = 'application/x-www-form-urlencoded' + + self.prepare_content_length(body) + + # Add content-type if it wasn't explicitly provided. + if content_type and ('content-type' not in self.headers): + self.headers['Content-Type'] = content_type + + self.body = body + + def prepare_content_length(self, body): + """Prepare Content-Length header based on request method and body""" + if body is not None: + length = super_len(body) + if length: + # If length exists, set it. Otherwise, we fallback + # to Transfer-Encoding: chunked. + self.headers['Content-Length'] = builtin_str(length) + elif self.method not in ('GET', 'HEAD') and self.headers.get('Content-Length') is None: + # Set Content-Length to 0 for methods that can have a body + # but don't provide one. (i.e. not GET or HEAD) + self.headers['Content-Length'] = '0' + + def prepare_auth(self, auth, url=''): + """Prepares the given HTTP auth data.""" + + # If no Auth is explicitly provided, extract it from the URL first. + if auth is None: + url_auth = get_auth_from_url(self.url) + auth = url_auth if any(url_auth) else None + + if auth: + if isinstance(auth, tuple) and len(auth) == 2: + # special-case basic HTTP auth + auth = HTTPBasicAuth(*auth) + + # Allow auth to make its changes. + r = auth(self) + + # Update self to reflect the auth changes. + self.__dict__.update(r.__dict__) + + # Recompute Content-Length + self.prepare_content_length(self.body) + + def prepare_cookies(self, cookies): + """Prepares the given HTTP cookie data. + + This function eventually generates a ``Cookie`` header from the + given cookies using cookielib. Due to cookielib's design, the header + will not be regenerated if it already exists, meaning this function + can only be called once for the life of the + :class:`PreparedRequest ` object. Any subsequent calls + to ``prepare_cookies`` will have no actual effect, unless the "Cookie" + header is removed beforehand. + """ + if isinstance(cookies, cookielib.CookieJar): + self._cookies = cookies + else: + self._cookies = cookiejar_from_dict(cookies) + + cookie_header = get_cookie_header(self._cookies, self) + if cookie_header is not None: + self.headers['Cookie'] = cookie_header + + def prepare_hooks(self, hooks): + """Prepares the given hooks.""" + # hooks can be passed as None to the prepare method and to this + # method. To prevent iterating over None, simply use an empty list + # if hooks is False-y + hooks = hooks or [] + for event in hooks: + self.register_hook(event, hooks[event]) + + +class Response(object): + """The :class:`Response ` object, which contains a + server's response to an HTTP request. + """ + + __attrs__ = [ + '_content', 'status_code', 'headers', 'url', 'history', + 'encoding', 'reason', 'cookies', 'elapsed', 'request' + ] + + def __init__(self): + self._content = False + self._content_consumed = False + self._next = None + + #: Integer Code of responded HTTP Status, e.g. 404 or 200. + self.status_code = None + + #: Case-insensitive Dictionary of Response Headers. + #: For example, ``headers['content-encoding']`` will return the + #: value of a ``'Content-Encoding'`` response header. + self.headers = CaseInsensitiveDict() + + #: File-like object representation of response (for advanced usage). + #: Use of ``raw`` requires that ``stream=True`` be set on the request. + # This requirement does not apply for use internally to Requests. + self.raw = None + + #: Final URL location of Response. + self.url = None + + #: Encoding to decode with when accessing r.text. + self.encoding = None + + #: A list of :class:`Response ` objects from + #: the history of the Request. Any redirect responses will end + #: up here. The list is sorted from the oldest to the most recent request. + self.history = [] + + #: Textual reason of responded HTTP Status, e.g. "Not Found" or "OK". + self.reason = None + + #: A CookieJar of Cookies the server sent back. + self.cookies = cookiejar_from_dict({}) + + #: The amount of time elapsed between sending the request + #: and the arrival of the response (as a timedelta). + #: This property specifically measures the time taken between sending + #: the first byte of the request and finishing parsing the headers. It + #: is therefore unaffected by consuming the response content or the + #: value of the ``stream`` keyword argument. + self.elapsed = datetime.timedelta(0) + + #: The :class:`PreparedRequest ` object to which this + #: is a response. + self.request = None + + def __enter__(self): + return self + + def __exit__(self, *args): + self.close() + + def __getstate__(self): + # Consume everything; accessing the content attribute makes + # sure the content has been fully read. + if not self._content_consumed: + self.content + + return {attr: getattr(self, attr, None) for attr in self.__attrs__} + + def __setstate__(self, state): + for name, value in state.items(): + setattr(self, name, value) + + # pickled objects do not have .raw + setattr(self, '_content_consumed', True) + setattr(self, 'raw', None) + + def __repr__(self): + return '' % (self.status_code) + + def __bool__(self): + """Returns True if :attr:`status_code` is less than 400. + + This attribute checks if the status code of the response is between + 400 and 600 to see if there was a client error or a server error. If + the status code, is between 200 and 400, this will return True. This + is **not** a check to see if the response code is ``200 OK``. + """ + return self.ok + + def __nonzero__(self): + """Returns True if :attr:`status_code` is less than 400. + + This attribute checks if the status code of the response is between + 400 and 600 to see if there was a client error or a server error. If + the status code, is between 200 and 400, this will return True. This + is **not** a check to see if the response code is ``200 OK``. + """ + return self.ok + + def __iter__(self): + """Allows you to use a response as an iterator.""" + return self.iter_content(128) + + @property + def ok(self): + """Returns True if :attr:`status_code` is less than 400, False if not. + + This attribute checks if the status code of the response is between + 400 and 600 to see if there was a client error or a server error. If + the status code is between 200 and 400, this will return True. This + is **not** a check to see if the response code is ``200 OK``. + """ + try: + self.raise_for_status() + except HTTPError: + return False + return True + + @property + def is_redirect(self): + """True if this Response is a well-formed HTTP redirect that could have + been processed automatically (by :meth:`Session.resolve_redirects`). + """ + return ('location' in self.headers and self.status_code in REDIRECT_STATI) + + @property + def is_permanent_redirect(self): + """True if this Response one of the permanent versions of redirect.""" + return ('location' in self.headers and self.status_code in (codes.moved_permanently, codes.permanent_redirect)) + + @property + def next(self): + """Returns a PreparedRequest for the next request in a redirect chain, if there is one.""" + return self._next + + @property + def apparent_encoding(self): + """The apparent encoding, provided by the chardet library.""" + return chardet.detect(self.content)['encoding'] + + def iter_content(self, chunk_size=1, decode_unicode=False): + """Iterates over the response data. When stream=True is set on the + request, this avoids reading the content at once into memory for + large responses. The chunk size is the number of bytes it should + read into memory. This is not necessarily the length of each item + returned as decoding can take place. + + chunk_size must be of type int or None. A value of None will + function differently depending on the value of `stream`. + stream=True will read data as it arrives in whatever size the + chunks are received. If stream=False, data is returned as + a single chunk. + + If decode_unicode is True, content will be decoded using the best + available encoding based on the response. + """ + + def generate(): + # Special case for urllib3. + if hasattr(self.raw, 'stream'): + try: + for chunk in self.raw.stream(chunk_size, decode_content=True): + yield chunk + except ProtocolError as e: + raise ChunkedEncodingError(e) + except DecodeError as e: + raise ContentDecodingError(e) + except ReadTimeoutError as e: + raise ConnectionError(e) + else: + # Standard file-like object. + while True: + chunk = self.raw.read(chunk_size) + if not chunk: + break + yield chunk + + self._content_consumed = True + + if self._content_consumed and isinstance(self._content, bool): + raise StreamConsumedError() + elif chunk_size is not None and not isinstance(chunk_size, int): + raise TypeError("chunk_size must be an int, it is instead a %s." % type(chunk_size)) + # simulate reading small chunks of the content + reused_chunks = iter_slices(self._content, chunk_size) + + stream_chunks = generate() + + chunks = reused_chunks if self._content_consumed else stream_chunks + + if decode_unicode: + chunks = stream_decode_response_unicode(chunks, self) + + return chunks + + def iter_lines(self, chunk_size=ITER_CHUNK_SIZE, decode_unicode=False, delimiter=None): + """Iterates over the response data, one line at a time. When + stream=True is set on the request, this avoids reading the + content at once into memory for large responses. + + .. note:: This method is not reentrant safe. + """ + + pending = None + + for chunk in self.iter_content(chunk_size=chunk_size, decode_unicode=decode_unicode): + + if pending is not None: + chunk = pending + chunk + + if delimiter: + lines = chunk.split(delimiter) + else: + lines = chunk.splitlines() + + if lines and lines[-1] and chunk and lines[-1][-1] == chunk[-1]: + pending = lines.pop() + else: + pending = None + + for line in lines: + yield line + + if pending is not None: + yield pending + + @property + def content(self): + """Content of the response, in bytes.""" + + if self._content is False: + # Read the contents. + if self._content_consumed: + raise RuntimeError( + 'The content for this response was already consumed') + + if self.status_code == 0 or self.raw is None: + self._content = None + else: + self._content = b''.join(self.iter_content(CONTENT_CHUNK_SIZE)) or b'' + + self._content_consumed = True + # don't need to release the connection; that's been handled by urllib3 + # since we exhausted the data. + return self._content + + @property + def text(self): + """Content of the response, in unicode. + + If Response.encoding is None, encoding will be guessed using + ``chardet``. + + The encoding of the response content is determined based solely on HTTP + headers, following RFC 2616 to the letter. If you can take advantage of + non-HTTP knowledge to make a better guess at the encoding, you should + set ``r.encoding`` appropriately before accessing this property. + """ + + # Try charset from content-type + content = None + encoding = self.encoding + + if not self.content: + return str('') + + # Fallback to auto-detected encoding. + if self.encoding is None: + encoding = self.apparent_encoding + + # Decode unicode from given encoding. + try: + content = str(self.content, encoding, errors='replace') + except (LookupError, TypeError): + # A LookupError is raised if the encoding was not found which could + # indicate a misspelling or similar mistake. + # + # A TypeError can be raised if encoding is None + # + # So we try blindly encoding. + content = str(self.content, errors='replace') + + return content + + def json(self, **kwargs): + r"""Returns the json-encoded content of a response, if any. + + :param \*\*kwargs: Optional arguments that ``json.loads`` takes. + :raises ValueError: If the response body does not contain valid json. + """ + + if not self.encoding and self.content and len(self.content) > 3: + # No encoding set. JSON RFC 4627 section 3 states we should expect + # UTF-8, -16 or -32. Detect which one to use; If the detection or + # decoding fails, fall back to `self.text` (using chardet to make + # a best guess). + encoding = guess_json_utf(self.content) + if encoding is not None: + try: + return complexjson.loads( + self.content.decode(encoding), **kwargs + ) + except UnicodeDecodeError: + # Wrong UTF codec detected; usually because it's not UTF-8 + # but some other 8-bit codec. This is an RFC violation, + # and the server didn't bother to tell us what codec *was* + # used. + pass + return complexjson.loads(self.text, **kwargs) + + @property + def links(self): + """Returns the parsed header links of the response, if any.""" + + header = self.headers.get('link') + + # l = MultiDict() + l = {} + + if header: + links = parse_header_links(header) + + for link in links: + key = link.get('rel') or link.get('url') + l[key] = link + + return l + + def raise_for_status(self): + """Raises stored :class:`HTTPError`, if one occurred.""" + + http_error_msg = '' + if isinstance(self.reason, bytes): + # We attempt to decode utf-8 first because some servers + # choose to localize their reason strings. If the string + # isn't utf-8, we fall back to iso-8859-1 for all other + # encodings. (See PR #3538) + try: + reason = self.reason.decode('utf-8') + except UnicodeDecodeError: + reason = self.reason.decode('iso-8859-1') + else: + reason = self.reason + + if 400 <= self.status_code < 500: + http_error_msg = u'%s Client Error: %s for url: %s' % (self.status_code, reason, self.url) + + elif 500 <= self.status_code < 600: + http_error_msg = u'%s Server Error: %s for url: %s' % (self.status_code, reason, self.url) + + if http_error_msg: + raise HTTPError(http_error_msg, response=self) + + def close(self): + """Releases the connection back to the pool. Once this method has been + called the underlying ``raw`` object must not be accessed again. + + *Note: Should not normally need to be called explicitly.* + """ + if not self._content_consumed: + self.raw.close() + + release_conn = getattr(self.raw, 'release_conn', None) + if release_conn is not None: + release_conn() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/packages.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/packages.py new file mode 100644 index 0000000000000000000000000000000000000000..9582fa730f121634348a79c1a8b0cc2df99c616f --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/packages.py @@ -0,0 +1,16 @@ +import sys + +# This code exists for backwards compatibility reasons. +# I don't like it either. Just look the other way. :) + +for package in ('urllib3', 'idna', 'chardet'): + vendored_package = "pip._vendor." + package + locals()[package] = __import__(vendored_package) + # This traversal is apparently necessary such that the identities are + # preserved (requests.packages.urllib3.* is urllib3.*) + for mod in list(sys.modules): + if mod == vendored_package or mod.startswith(vendored_package + '.'): + unprefixed_mod = mod[len("pip._vendor."):] + sys.modules['pip._vendor.requests.packages.' + unprefixed_mod] = sys.modules[mod] + +# Kinda cool, though, right? diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/sessions.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/sessions.py new file mode 100644 index 0000000000000000000000000000000000000000..d73d700fa6baa975ab9b10fbdb186bccdb9d3610 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/sessions.py @@ -0,0 +1,770 @@ +# -*- coding: utf-8 -*- + +""" +requests.session +~~~~~~~~~~~~~~~~ + +This module provides a Session object to manage and persist settings across +requests (cookies, auth, proxies). +""" +import os +import sys +import time +from datetime import timedelta + +from .auth import _basic_auth_str +from .compat import cookielib, is_py3, OrderedDict, urljoin, urlparse, Mapping +from .cookies import ( + cookiejar_from_dict, extract_cookies_to_jar, RequestsCookieJar, merge_cookies) +from .models import Request, PreparedRequest, DEFAULT_REDIRECT_LIMIT +from .hooks import default_hooks, dispatch_hook +from ._internal_utils import to_native_string +from .utils import to_key_val_list, default_headers, DEFAULT_PORTS +from .exceptions import ( + TooManyRedirects, InvalidSchema, ChunkedEncodingError, ContentDecodingError) + +from .structures import CaseInsensitiveDict +from .adapters import HTTPAdapter + +from .utils import ( + requote_uri, get_environ_proxies, get_netrc_auth, should_bypass_proxies, + get_auth_from_url, rewind_body +) + +from .status_codes import codes + +# formerly defined here, reexposed here for backward compatibility +from .models import REDIRECT_STATI + +# Preferred clock, based on which one is more accurate on a given system. +if sys.platform == 'win32': + try: # Python 3.4+ + preferred_clock = time.perf_counter + except AttributeError: # Earlier than Python 3. + preferred_clock = time.clock +else: + preferred_clock = time.time + + +def merge_setting(request_setting, session_setting, dict_class=OrderedDict): + """Determines appropriate setting for a given request, taking into account + the explicit setting on that request, and the setting in the session. If a + setting is a dictionary, they will be merged together using `dict_class` + """ + + if session_setting is None: + return request_setting + + if request_setting is None: + return session_setting + + # Bypass if not a dictionary (e.g. verify) + if not ( + isinstance(session_setting, Mapping) and + isinstance(request_setting, Mapping) + ): + return request_setting + + merged_setting = dict_class(to_key_val_list(session_setting)) + merged_setting.update(to_key_val_list(request_setting)) + + # Remove keys that are set to None. Extract keys first to avoid altering + # the dictionary during iteration. + none_keys = [k for (k, v) in merged_setting.items() if v is None] + for key in none_keys: + del merged_setting[key] + + return merged_setting + + +def merge_hooks(request_hooks, session_hooks, dict_class=OrderedDict): + """Properly merges both requests and session hooks. + + This is necessary because when request_hooks == {'response': []}, the + merge breaks Session hooks entirely. + """ + if session_hooks is None or session_hooks.get('response') == []: + return request_hooks + + if request_hooks is None or request_hooks.get('response') == []: + return session_hooks + + return merge_setting(request_hooks, session_hooks, dict_class) + + +class SessionRedirectMixin(object): + + def get_redirect_target(self, resp): + """Receives a Response. Returns a redirect URI or ``None``""" + # Due to the nature of how requests processes redirects this method will + # be called at least once upon the original response and at least twice + # on each subsequent redirect response (if any). + # If a custom mixin is used to handle this logic, it may be advantageous + # to cache the redirect location onto the response object as a private + # attribute. + if resp.is_redirect: + location = resp.headers['location'] + # Currently the underlying http module on py3 decode headers + # in latin1, but empirical evidence suggests that latin1 is very + # rarely used with non-ASCII characters in HTTP headers. + # It is more likely to get UTF8 header rather than latin1. + # This causes incorrect handling of UTF8 encoded location headers. + # To solve this, we re-encode the location in latin1. + if is_py3: + location = location.encode('latin1') + return to_native_string(location, 'utf8') + return None + + def should_strip_auth(self, old_url, new_url): + """Decide whether Authorization header should be removed when redirecting""" + old_parsed = urlparse(old_url) + new_parsed = urlparse(new_url) + if old_parsed.hostname != new_parsed.hostname: + return True + # Special case: allow http -> https redirect when using the standard + # ports. This isn't specified by RFC 7235, but is kept to avoid + # breaking backwards compatibility with older versions of requests + # that allowed any redirects on the same host. + if (old_parsed.scheme == 'http' and old_parsed.port in (80, None) + and new_parsed.scheme == 'https' and new_parsed.port in (443, None)): + return False + + # Handle default port usage corresponding to scheme. + changed_port = old_parsed.port != new_parsed.port + changed_scheme = old_parsed.scheme != new_parsed.scheme + default_port = (DEFAULT_PORTS.get(old_parsed.scheme, None), None) + if (not changed_scheme and old_parsed.port in default_port + and new_parsed.port in default_port): + return False + + # Standard case: root URI must match + return changed_port or changed_scheme + + def resolve_redirects(self, resp, req, stream=False, timeout=None, + verify=True, cert=None, proxies=None, yield_requests=False, **adapter_kwargs): + """Receives a Response. Returns a generator of Responses or Requests.""" + + hist = [] # keep track of history + + url = self.get_redirect_target(resp) + previous_fragment = urlparse(req.url).fragment + while url: + prepared_request = req.copy() + + # Update history and keep track of redirects. + # resp.history must ignore the original request in this loop + hist.append(resp) + resp.history = hist[1:] + + try: + resp.content # Consume socket so it can be released + except (ChunkedEncodingError, ContentDecodingError, RuntimeError): + resp.raw.read(decode_content=False) + + if len(resp.history) >= self.max_redirects: + raise TooManyRedirects('Exceeded %s redirects.' % self.max_redirects, response=resp) + + # Release the connection back into the pool. + resp.close() + + # Handle redirection without scheme (see: RFC 1808 Section 4) + if url.startswith('//'): + parsed_rurl = urlparse(resp.url) + url = '%s:%s' % (to_native_string(parsed_rurl.scheme), url) + + # Normalize url case and attach previous fragment if needed (RFC 7231 7.1.2) + parsed = urlparse(url) + if parsed.fragment == '' and previous_fragment: + parsed = parsed._replace(fragment=previous_fragment) + elif parsed.fragment: + previous_fragment = parsed.fragment + url = parsed.geturl() + + # Facilitate relative 'location' headers, as allowed by RFC 7231. + # (e.g. '/path/to/resource' instead of 'http://domain.tld/path/to/resource') + # Compliant with RFC3986, we percent encode the url. + if not parsed.netloc: + url = urljoin(resp.url, requote_uri(url)) + else: + url = requote_uri(url) + + prepared_request.url = to_native_string(url) + + self.rebuild_method(prepared_request, resp) + + # https://github.com/requests/requests/issues/1084 + if resp.status_code not in (codes.temporary_redirect, codes.permanent_redirect): + # https://github.com/requests/requests/issues/3490 + purged_headers = ('Content-Length', 'Content-Type', 'Transfer-Encoding') + for header in purged_headers: + prepared_request.headers.pop(header, None) + prepared_request.body = None + + headers = prepared_request.headers + try: + del headers['Cookie'] + except KeyError: + pass + + # Extract any cookies sent on the response to the cookiejar + # in the new request. Because we've mutated our copied prepared + # request, use the old one that we haven't yet touched. + extract_cookies_to_jar(prepared_request._cookies, req, resp.raw) + merge_cookies(prepared_request._cookies, self.cookies) + prepared_request.prepare_cookies(prepared_request._cookies) + + # Rebuild auth and proxy information. + proxies = self.rebuild_proxies(prepared_request, proxies) + self.rebuild_auth(prepared_request, resp) + + # A failed tell() sets `_body_position` to `object()`. This non-None + # value ensures `rewindable` will be True, allowing us to raise an + # UnrewindableBodyError, instead of hanging the connection. + rewindable = ( + prepared_request._body_position is not None and + ('Content-Length' in headers or 'Transfer-Encoding' in headers) + ) + + # Attempt to rewind consumed file-like object. + if rewindable: + rewind_body(prepared_request) + + # Override the original request. + req = prepared_request + + if yield_requests: + yield req + else: + + resp = self.send( + req, + stream=stream, + timeout=timeout, + verify=verify, + cert=cert, + proxies=proxies, + allow_redirects=False, + **adapter_kwargs + ) + + extract_cookies_to_jar(self.cookies, prepared_request, resp.raw) + + # extract redirect url, if any, for the next loop + url = self.get_redirect_target(resp) + yield resp + + def rebuild_auth(self, prepared_request, response): + """When being redirected we may want to strip authentication from the + request to avoid leaking credentials. This method intelligently removes + and reapplies authentication where possible to avoid credential loss. + """ + headers = prepared_request.headers + url = prepared_request.url + + if 'Authorization' in headers and self.should_strip_auth(response.request.url, url): + # If we get redirected to a new host, we should strip out any + # authentication headers. + del headers['Authorization'] + + # .netrc might have more auth for us on our new host. + new_auth = get_netrc_auth(url) if self.trust_env else None + if new_auth is not None: + prepared_request.prepare_auth(new_auth) + + return + + def rebuild_proxies(self, prepared_request, proxies): + """This method re-evaluates the proxy configuration by considering the + environment variables. If we are redirected to a URL covered by + NO_PROXY, we strip the proxy configuration. Otherwise, we set missing + proxy keys for this URL (in case they were stripped by a previous + redirect). + + This method also replaces the Proxy-Authorization header where + necessary. + + :rtype: dict + """ + proxies = proxies if proxies is not None else {} + headers = prepared_request.headers + url = prepared_request.url + scheme = urlparse(url).scheme + new_proxies = proxies.copy() + no_proxy = proxies.get('no_proxy') + + bypass_proxy = should_bypass_proxies(url, no_proxy=no_proxy) + if self.trust_env and not bypass_proxy: + environ_proxies = get_environ_proxies(url, no_proxy=no_proxy) + + proxy = environ_proxies.get(scheme, environ_proxies.get('all')) + + if proxy: + new_proxies.setdefault(scheme, proxy) + + if 'Proxy-Authorization' in headers: + del headers['Proxy-Authorization'] + + try: + username, password = get_auth_from_url(new_proxies[scheme]) + except KeyError: + username, password = None, None + + if username and password: + headers['Proxy-Authorization'] = _basic_auth_str(username, password) + + return new_proxies + + def rebuild_method(self, prepared_request, response): + """When being redirected we may want to change the method of the request + based on certain specs or browser behavior. + """ + method = prepared_request.method + + # https://tools.ietf.org/html/rfc7231#section-6.4.4 + if response.status_code == codes.see_other and method != 'HEAD': + method = 'GET' + + # Do what the browsers do, despite standards... + # First, turn 302s into GETs. + if response.status_code == codes.found and method != 'HEAD': + method = 'GET' + + # Second, if a POST is responded to with a 301, turn it into a GET. + # This bizarre behaviour is explained in Issue 1704. + if response.status_code == codes.moved and method == 'POST': + method = 'GET' + + prepared_request.method = method + + +class Session(SessionRedirectMixin): + """A Requests session. + + Provides cookie persistence, connection-pooling, and configuration. + + Basic Usage:: + + >>> import requests + >>> s = requests.Session() + >>> s.get('https://httpbin.org/get') + + + Or as a context manager:: + + >>> with requests.Session() as s: + >>> s.get('https://httpbin.org/get') + + """ + + __attrs__ = [ + 'headers', 'cookies', 'auth', 'proxies', 'hooks', 'params', 'verify', + 'cert', 'prefetch', 'adapters', 'stream', 'trust_env', + 'max_redirects', + ] + + def __init__(self): + + #: A case-insensitive dictionary of headers to be sent on each + #: :class:`Request ` sent from this + #: :class:`Session `. + self.headers = default_headers() + + #: Default Authentication tuple or object to attach to + #: :class:`Request `. + self.auth = None + + #: Dictionary mapping protocol or protocol and host to the URL of the proxy + #: (e.g. {'http': 'foo.bar:3128', 'http://host.name': 'foo.bar:4012'}) to + #: be used on each :class:`Request `. + self.proxies = {} + + #: Event-handling hooks. + self.hooks = default_hooks() + + #: Dictionary of querystring data to attach to each + #: :class:`Request `. The dictionary values may be lists for + #: representing multivalued query parameters. + self.params = {} + + #: Stream response content default. + self.stream = False + + #: SSL Verification default. + self.verify = True + + #: SSL client certificate default, if String, path to ssl client + #: cert file (.pem). If Tuple, ('cert', 'key') pair. + self.cert = None + + #: Maximum number of redirects allowed. If the request exceeds this + #: limit, a :class:`TooManyRedirects` exception is raised. + #: This defaults to requests.models.DEFAULT_REDIRECT_LIMIT, which is + #: 30. + self.max_redirects = DEFAULT_REDIRECT_LIMIT + + #: Trust environment settings for proxy configuration, default + #: authentication and similar. + self.trust_env = True + + #: A CookieJar containing all currently outstanding cookies set on this + #: session. By default it is a + #: :class:`RequestsCookieJar `, but + #: may be any other ``cookielib.CookieJar`` compatible object. + self.cookies = cookiejar_from_dict({}) + + # Default connection adapters. + self.adapters = OrderedDict() + self.mount('https://', HTTPAdapter()) + self.mount('http://', HTTPAdapter()) + + def __enter__(self): + return self + + def __exit__(self, *args): + self.close() + + def prepare_request(self, request): + """Constructs a :class:`PreparedRequest ` for + transmission and returns it. The :class:`PreparedRequest` has settings + merged from the :class:`Request ` instance and those of the + :class:`Session`. + + :param request: :class:`Request` instance to prepare with this + session's settings. + :rtype: requests.PreparedRequest + """ + cookies = request.cookies or {} + + # Bootstrap CookieJar. + if not isinstance(cookies, cookielib.CookieJar): + cookies = cookiejar_from_dict(cookies) + + # Merge with session cookies + merged_cookies = merge_cookies( + merge_cookies(RequestsCookieJar(), self.cookies), cookies) + + # Set environment's basic authentication if not explicitly set. + auth = request.auth + if self.trust_env and not auth and not self.auth: + auth = get_netrc_auth(request.url) + + p = PreparedRequest() + p.prepare( + method=request.method.upper(), + url=request.url, + files=request.files, + data=request.data, + json=request.json, + headers=merge_setting(request.headers, self.headers, dict_class=CaseInsensitiveDict), + params=merge_setting(request.params, self.params), + auth=merge_setting(auth, self.auth), + cookies=merged_cookies, + hooks=merge_hooks(request.hooks, self.hooks), + ) + return p + + def request(self, method, url, + params=None, data=None, headers=None, cookies=None, files=None, + auth=None, timeout=None, allow_redirects=True, proxies=None, + hooks=None, stream=None, verify=None, cert=None, json=None): + """Constructs a :class:`Request `, prepares it and sends it. + Returns :class:`Response ` object. + + :param method: method for the new :class:`Request` object. + :param url: URL for the new :class:`Request` object. + :param params: (optional) Dictionary or bytes to be sent in the query + string for the :class:`Request`. + :param data: (optional) Dictionary, list of tuples, bytes, or file-like + object to send in the body of the :class:`Request`. + :param json: (optional) json to send in the body of the + :class:`Request`. + :param headers: (optional) Dictionary of HTTP Headers to send with the + :class:`Request`. + :param cookies: (optional) Dict or CookieJar object to send with the + :class:`Request`. + :param files: (optional) Dictionary of ``'filename': file-like-objects`` + for multipart encoding upload. + :param auth: (optional) Auth tuple or callable to enable + Basic/Digest/Custom HTTP Auth. + :param timeout: (optional) How long to wait for the server to send + data before giving up, as a float, or a :ref:`(connect timeout, + read timeout) ` tuple. + :type timeout: float or tuple + :param allow_redirects: (optional) Set to True by default. + :type allow_redirects: bool + :param proxies: (optional) Dictionary mapping protocol or protocol and + hostname to the URL of the proxy. + :param stream: (optional) whether to immediately download the response + content. Defaults to ``False``. + :param verify: (optional) Either a boolean, in which case it controls whether we verify + the server's TLS certificate, or a string, in which case it must be a path + to a CA bundle to use. Defaults to ``True``. + :param cert: (optional) if String, path to ssl client cert file (.pem). + If Tuple, ('cert', 'key') pair. + :rtype: requests.Response + """ + # Create the Request. + req = Request( + method=method.upper(), + url=url, + headers=headers, + files=files, + data=data or {}, + json=json, + params=params or {}, + auth=auth, + cookies=cookies, + hooks=hooks, + ) + prep = self.prepare_request(req) + + proxies = proxies or {} + + settings = self.merge_environment_settings( + prep.url, proxies, stream, verify, cert + ) + + # Send the request. + send_kwargs = { + 'timeout': timeout, + 'allow_redirects': allow_redirects, + } + send_kwargs.update(settings) + resp = self.send(prep, **send_kwargs) + + return resp + + def get(self, url, **kwargs): + r"""Sends a GET request. Returns :class:`Response` object. + + :param url: URL for the new :class:`Request` object. + :param \*\*kwargs: Optional arguments that ``request`` takes. + :rtype: requests.Response + """ + + kwargs.setdefault('allow_redirects', True) + return self.request('GET', url, **kwargs) + + def options(self, url, **kwargs): + r"""Sends a OPTIONS request. Returns :class:`Response` object. + + :param url: URL for the new :class:`Request` object. + :param \*\*kwargs: Optional arguments that ``request`` takes. + :rtype: requests.Response + """ + + kwargs.setdefault('allow_redirects', True) + return self.request('OPTIONS', url, **kwargs) + + def head(self, url, **kwargs): + r"""Sends a HEAD request. Returns :class:`Response` object. + + :param url: URL for the new :class:`Request` object. + :param \*\*kwargs: Optional arguments that ``request`` takes. + :rtype: requests.Response + """ + + kwargs.setdefault('allow_redirects', False) + return self.request('HEAD', url, **kwargs) + + def post(self, url, data=None, json=None, **kwargs): + r"""Sends a POST request. Returns :class:`Response` object. + + :param url: URL for the new :class:`Request` object. + :param data: (optional) Dictionary, list of tuples, bytes, or file-like + object to send in the body of the :class:`Request`. + :param json: (optional) json to send in the body of the :class:`Request`. + :param \*\*kwargs: Optional arguments that ``request`` takes. + :rtype: requests.Response + """ + + return self.request('POST', url, data=data, json=json, **kwargs) + + def put(self, url, data=None, **kwargs): + r"""Sends a PUT request. Returns :class:`Response` object. + + :param url: URL for the new :class:`Request` object. + :param data: (optional) Dictionary, list of tuples, bytes, or file-like + object to send in the body of the :class:`Request`. + :param \*\*kwargs: Optional arguments that ``request`` takes. + :rtype: requests.Response + """ + + return self.request('PUT', url, data=data, **kwargs) + + def patch(self, url, data=None, **kwargs): + r"""Sends a PATCH request. Returns :class:`Response` object. + + :param url: URL for the new :class:`Request` object. + :param data: (optional) Dictionary, list of tuples, bytes, or file-like + object to send in the body of the :class:`Request`. + :param \*\*kwargs: Optional arguments that ``request`` takes. + :rtype: requests.Response + """ + + return self.request('PATCH', url, data=data, **kwargs) + + def delete(self, url, **kwargs): + r"""Sends a DELETE request. Returns :class:`Response` object. + + :param url: URL for the new :class:`Request` object. + :param \*\*kwargs: Optional arguments that ``request`` takes. + :rtype: requests.Response + """ + + return self.request('DELETE', url, **kwargs) + + def send(self, request, **kwargs): + """Send a given PreparedRequest. + + :rtype: requests.Response + """ + # Set defaults that the hooks can utilize to ensure they always have + # the correct parameters to reproduce the previous request. + kwargs.setdefault('stream', self.stream) + kwargs.setdefault('verify', self.verify) + kwargs.setdefault('cert', self.cert) + kwargs.setdefault('proxies', self.proxies) + + # It's possible that users might accidentally send a Request object. + # Guard against that specific failure case. + if isinstance(request, Request): + raise ValueError('You can only send PreparedRequests.') + + # Set up variables needed for resolve_redirects and dispatching of hooks + allow_redirects = kwargs.pop('allow_redirects', True) + stream = kwargs.get('stream') + hooks = request.hooks + + # Get the appropriate adapter to use + adapter = self.get_adapter(url=request.url) + + # Start time (approximately) of the request + start = preferred_clock() + + # Send the request + r = adapter.send(request, **kwargs) + + # Total elapsed time of the request (approximately) + elapsed = preferred_clock() - start + r.elapsed = timedelta(seconds=elapsed) + + # Response manipulation hooks + r = dispatch_hook('response', hooks, r, **kwargs) + + # Persist cookies + if r.history: + + # If the hooks create history then we want those cookies too + for resp in r.history: + extract_cookies_to_jar(self.cookies, resp.request, resp.raw) + + extract_cookies_to_jar(self.cookies, request, r.raw) + + # Redirect resolving generator. + gen = self.resolve_redirects(r, request, **kwargs) + + # Resolve redirects if allowed. + history = [resp for resp in gen] if allow_redirects else [] + + # Shuffle things around if there's history. + if history: + # Insert the first (original) request at the start + history.insert(0, r) + # Get the last request made + r = history.pop() + r.history = history + + # If redirects aren't being followed, store the response on the Request for Response.next(). + if not allow_redirects: + try: + r._next = next(self.resolve_redirects(r, request, yield_requests=True, **kwargs)) + except StopIteration: + pass + + if not stream: + r.content + + return r + + def merge_environment_settings(self, url, proxies, stream, verify, cert): + """ + Check the environment and merge it with some settings. + + :rtype: dict + """ + # Gather clues from the surrounding environment. + if self.trust_env: + # Set environment's proxies. + no_proxy = proxies.get('no_proxy') if proxies is not None else None + env_proxies = get_environ_proxies(url, no_proxy=no_proxy) + for (k, v) in env_proxies.items(): + proxies.setdefault(k, v) + + # Look for requests environment configuration and be compatible + # with cURL. + if verify is True or verify is None: + verify = (os.environ.get('REQUESTS_CA_BUNDLE') or + os.environ.get('CURL_CA_BUNDLE')) + + # Merge all the kwargs. + proxies = merge_setting(proxies, self.proxies) + stream = merge_setting(stream, self.stream) + verify = merge_setting(verify, self.verify) + cert = merge_setting(cert, self.cert) + + return {'verify': verify, 'proxies': proxies, 'stream': stream, + 'cert': cert} + + def get_adapter(self, url): + """ + Returns the appropriate connection adapter for the given URL. + + :rtype: requests.adapters.BaseAdapter + """ + for (prefix, adapter) in self.adapters.items(): + + if url.lower().startswith(prefix.lower()): + return adapter + + # Nothing matches :-/ + raise InvalidSchema("No connection adapters were found for '%s'" % url) + + def close(self): + """Closes all adapters and as such the session""" + for v in self.adapters.values(): + v.close() + + def mount(self, prefix, adapter): + """Registers a connection adapter to a prefix. + + Adapters are sorted in descending order by prefix length. + """ + self.adapters[prefix] = adapter + keys_to_move = [k for k in self.adapters if len(k) < len(prefix)] + + for key in keys_to_move: + self.adapters[key] = self.adapters.pop(key) + + def __getstate__(self): + state = {attr: getattr(self, attr, None) for attr in self.__attrs__} + return state + + def __setstate__(self, state): + for attr, value in state.items(): + setattr(self, attr, value) + + +def session(): + """ + Returns a :class:`Session` for context-management. + + .. deprecated:: 1.0.0 + + This method has been deprecated since version 1.0.0 and is only kept for + backwards compatibility. New code should use :class:`~requests.sessions.Session` + to create a session. This may be removed at a future date. + + :rtype: Session + """ + return Session() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/status_codes.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/status_codes.py new file mode 100644 index 0000000000000000000000000000000000000000..813e8c4e62fdcbbfcb73e2f52e187e0c3c5b84d7 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/status_codes.py @@ -0,0 +1,120 @@ +# -*- coding: utf-8 -*- + +r""" +The ``codes`` object defines a mapping from common names for HTTP statuses +to their numerical codes, accessible either as attributes or as dictionary +items. + +>>> requests.codes['temporary_redirect'] +307 +>>> requests.codes.teapot +418 +>>> requests.codes['\o/'] +200 + +Some codes have multiple names, and both upper- and lower-case versions of +the names are allowed. For example, ``codes.ok``, ``codes.OK``, and +``codes.okay`` all correspond to the HTTP status code 200. +""" + +from .structures import LookupDict + +_codes = { + + # Informational. + 100: ('continue',), + 101: ('switching_protocols',), + 102: ('processing',), + 103: ('checkpoint',), + 122: ('uri_too_long', 'request_uri_too_long'), + 200: ('ok', 'okay', 'all_ok', 'all_okay', 'all_good', '\\o/', '✓'), + 201: ('created',), + 202: ('accepted',), + 203: ('non_authoritative_info', 'non_authoritative_information'), + 204: ('no_content',), + 205: ('reset_content', 'reset'), + 206: ('partial_content', 'partial'), + 207: ('multi_status', 'multiple_status', 'multi_stati', 'multiple_stati'), + 208: ('already_reported',), + 226: ('im_used',), + + # Redirection. + 300: ('multiple_choices',), + 301: ('moved_permanently', 'moved', '\\o-'), + 302: ('found',), + 303: ('see_other', 'other'), + 304: ('not_modified',), + 305: ('use_proxy',), + 306: ('switch_proxy',), + 307: ('temporary_redirect', 'temporary_moved', 'temporary'), + 308: ('permanent_redirect', + 'resume_incomplete', 'resume',), # These 2 to be removed in 3.0 + + # Client Error. + 400: ('bad_request', 'bad'), + 401: ('unauthorized',), + 402: ('payment_required', 'payment'), + 403: ('forbidden',), + 404: ('not_found', '-o-'), + 405: ('method_not_allowed', 'not_allowed'), + 406: ('not_acceptable',), + 407: ('proxy_authentication_required', 'proxy_auth', 'proxy_authentication'), + 408: ('request_timeout', 'timeout'), + 409: ('conflict',), + 410: ('gone',), + 411: ('length_required',), + 412: ('precondition_failed', 'precondition'), + 413: ('request_entity_too_large',), + 414: ('request_uri_too_large',), + 415: ('unsupported_media_type', 'unsupported_media', 'media_type'), + 416: ('requested_range_not_satisfiable', 'requested_range', 'range_not_satisfiable'), + 417: ('expectation_failed',), + 418: ('im_a_teapot', 'teapot', 'i_am_a_teapot'), + 421: ('misdirected_request',), + 422: ('unprocessable_entity', 'unprocessable'), + 423: ('locked',), + 424: ('failed_dependency', 'dependency'), + 425: ('unordered_collection', 'unordered'), + 426: ('upgrade_required', 'upgrade'), + 428: ('precondition_required', 'precondition'), + 429: ('too_many_requests', 'too_many'), + 431: ('header_fields_too_large', 'fields_too_large'), + 444: ('no_response', 'none'), + 449: ('retry_with', 'retry'), + 450: ('blocked_by_windows_parental_controls', 'parental_controls'), + 451: ('unavailable_for_legal_reasons', 'legal_reasons'), + 499: ('client_closed_request',), + + # Server Error. + 500: ('internal_server_error', 'server_error', '/o\\', '✗'), + 501: ('not_implemented',), + 502: ('bad_gateway',), + 503: ('service_unavailable', 'unavailable'), + 504: ('gateway_timeout',), + 505: ('http_version_not_supported', 'http_version'), + 506: ('variant_also_negotiates',), + 507: ('insufficient_storage',), + 509: ('bandwidth_limit_exceeded', 'bandwidth'), + 510: ('not_extended',), + 511: ('network_authentication_required', 'network_auth', 'network_authentication'), +} + +codes = LookupDict(name='status_codes') + +def _init(): + for code, titles in _codes.items(): + for title in titles: + setattr(codes, title, code) + if not title.startswith(('\\', '/')): + setattr(codes, title.upper(), code) + + def doc(code): + names = ', '.join('``%s``' % n for n in _codes[code]) + return '* %d: %s' % (code, names) + + global __doc__ + __doc__ = (__doc__ + '\n' + + '\n'.join(doc(code) for code in sorted(_codes)) + if __doc__ is not None else None) + +_init() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/structures.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/structures.py new file mode 100644 index 0000000000000000000000000000000000000000..da930e2852049feb2b6e262d442b9cc25ecb2d94 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/structures.py @@ -0,0 +1,103 @@ +# -*- coding: utf-8 -*- + +""" +requests.structures +~~~~~~~~~~~~~~~~~~~ + +Data structures that power Requests. +""" + +from .compat import OrderedDict, Mapping, MutableMapping + + +class CaseInsensitiveDict(MutableMapping): + """A case-insensitive ``dict``-like object. + + Implements all methods and operations of + ``MutableMapping`` as well as dict's ``copy``. Also + provides ``lower_items``. + + All keys are expected to be strings. The structure remembers the + case of the last key to be set, and ``iter(instance)``, + ``keys()``, ``items()``, ``iterkeys()``, and ``iteritems()`` + will contain case-sensitive keys. However, querying and contains + testing is case insensitive:: + + cid = CaseInsensitiveDict() + cid['Accept'] = 'application/json' + cid['aCCEPT'] == 'application/json' # True + list(cid) == ['Accept'] # True + + For example, ``headers['content-encoding']`` will return the + value of a ``'Content-Encoding'`` response header, regardless + of how the header name was originally stored. + + If the constructor, ``.update``, or equality comparison + operations are given keys that have equal ``.lower()``s, the + behavior is undefined. + """ + + def __init__(self, data=None, **kwargs): + self._store = OrderedDict() + if data is None: + data = {} + self.update(data, **kwargs) + + def __setitem__(self, key, value): + # Use the lowercased key for lookups, but store the actual + # key alongside the value. + self._store[key.lower()] = (key, value) + + def __getitem__(self, key): + return self._store[key.lower()][1] + + def __delitem__(self, key): + del self._store[key.lower()] + + def __iter__(self): + return (casedkey for casedkey, mappedvalue in self._store.values()) + + def __len__(self): + return len(self._store) + + def lower_items(self): + """Like iteritems(), but with all lowercase keys.""" + return ( + (lowerkey, keyval[1]) + for (lowerkey, keyval) + in self._store.items() + ) + + def __eq__(self, other): + if isinstance(other, Mapping): + other = CaseInsensitiveDict(other) + else: + return NotImplemented + # Compare insensitively + return dict(self.lower_items()) == dict(other.lower_items()) + + # Copy is required + def copy(self): + return CaseInsensitiveDict(self._store.values()) + + def __repr__(self): + return str(dict(self.items())) + + +class LookupDict(dict): + """Dictionary lookup object.""" + + def __init__(self, name=None): + self.name = name + super(LookupDict, self).__init__() + + def __repr__(self): + return '' % (self.name) + + def __getitem__(self, key): + # We allow fall-through here, so values default to None + + return self.__dict__.get(key, None) + + def get(self, key, default=None): + return self.__dict__.get(key, default) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/utils.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..8170a8d2c45dc6d9dbb44abc4d5ce4d7c548463d --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/requests/utils.py @@ -0,0 +1,977 @@ +# -*- coding: utf-8 -*- + +""" +requests.utils +~~~~~~~~~~~~~~ + +This module provides utility functions that are used within Requests +that are also useful for external consumption. +""" + +import codecs +import contextlib +import io +import os +import re +import socket +import struct +import sys +import tempfile +import warnings +import zipfile + +from .__version__ import __version__ +from . import certs +# to_native_string is unused here, but imported here for backwards compatibility +from ._internal_utils import to_native_string +from .compat import parse_http_list as _parse_list_header +from .compat import ( + quote, urlparse, bytes, str, OrderedDict, unquote, getproxies, + proxy_bypass, urlunparse, basestring, integer_types, is_py3, + proxy_bypass_environment, getproxies_environment, Mapping) +from .cookies import cookiejar_from_dict +from .structures import CaseInsensitiveDict +from .exceptions import ( + InvalidURL, InvalidHeader, FileModeWarning, UnrewindableBodyError) + +NETRC_FILES = ('.netrc', '_netrc') + +DEFAULT_CA_BUNDLE_PATH = certs.where() + +DEFAULT_PORTS = {'http': 80, 'https': 443} + + +if sys.platform == 'win32': + # provide a proxy_bypass version on Windows without DNS lookups + + def proxy_bypass_registry(host): + try: + if is_py3: + import winreg + else: + import _winreg as winreg + except ImportError: + return False + + try: + internetSettings = winreg.OpenKey(winreg.HKEY_CURRENT_USER, + r'Software\Microsoft\Windows\CurrentVersion\Internet Settings') + # ProxyEnable could be REG_SZ or REG_DWORD, normalizing it + proxyEnable = int(winreg.QueryValueEx(internetSettings, + 'ProxyEnable')[0]) + # ProxyOverride is almost always a string + proxyOverride = winreg.QueryValueEx(internetSettings, + 'ProxyOverride')[0] + except OSError: + return False + if not proxyEnable or not proxyOverride: + return False + + # make a check value list from the registry entry: replace the + # '' string by the localhost entry and the corresponding + # canonical entry. + proxyOverride = proxyOverride.split(';') + # now check if we match one of the registry values. + for test in proxyOverride: + if test == '': + if '.' not in host: + return True + test = test.replace(".", r"\.") # mask dots + test = test.replace("*", r".*") # change glob sequence + test = test.replace("?", r".") # change glob char + if re.match(test, host, re.I): + return True + return False + + def proxy_bypass(host): # noqa + """Return True, if the host should be bypassed. + + Checks proxy settings gathered from the environment, if specified, + or the registry. + """ + if getproxies_environment(): + return proxy_bypass_environment(host) + else: + return proxy_bypass_registry(host) + + +def dict_to_sequence(d): + """Returns an internal sequence dictionary update.""" + + if hasattr(d, 'items'): + d = d.items() + + return d + + +def super_len(o): + total_length = None + current_position = 0 + + if hasattr(o, '__len__'): + total_length = len(o) + + elif hasattr(o, 'len'): + total_length = o.len + + elif hasattr(o, 'fileno'): + try: + fileno = o.fileno() + except io.UnsupportedOperation: + pass + else: + total_length = os.fstat(fileno).st_size + + # Having used fstat to determine the file length, we need to + # confirm that this file was opened up in binary mode. + if 'b' not in o.mode: + warnings.warn(( + "Requests has determined the content-length for this " + "request using the binary size of the file: however, the " + "file has been opened in text mode (i.e. without the 'b' " + "flag in the mode). This may lead to an incorrect " + "content-length. In Requests 3.0, support will be removed " + "for files in text mode."), + FileModeWarning + ) + + if hasattr(o, 'tell'): + try: + current_position = o.tell() + except (OSError, IOError): + # This can happen in some weird situations, such as when the file + # is actually a special file descriptor like stdin. In this + # instance, we don't know what the length is, so set it to zero and + # let requests chunk it instead. + if total_length is not None: + current_position = total_length + else: + if hasattr(o, 'seek') and total_length is None: + # StringIO and BytesIO have seek but no useable fileno + try: + # seek to end of file + o.seek(0, 2) + total_length = o.tell() + + # seek back to current position to support + # partially read file-like objects + o.seek(current_position or 0) + except (OSError, IOError): + total_length = 0 + + if total_length is None: + total_length = 0 + + return max(0, total_length - current_position) + + +def get_netrc_auth(url, raise_errors=False): + """Returns the Requests tuple auth for a given url from netrc.""" + + try: + from netrc import netrc, NetrcParseError + + netrc_path = None + + for f in NETRC_FILES: + try: + loc = os.path.expanduser('~/{}'.format(f)) + except KeyError: + # os.path.expanduser can fail when $HOME is undefined and + # getpwuid fails. See https://bugs.python.org/issue20164 & + # https://github.com/requests/requests/issues/1846 + return + + if os.path.exists(loc): + netrc_path = loc + break + + # Abort early if there isn't one. + if netrc_path is None: + return + + ri = urlparse(url) + + # Strip port numbers from netloc. This weird `if...encode`` dance is + # used for Python 3.2, which doesn't support unicode literals. + splitstr = b':' + if isinstance(url, str): + splitstr = splitstr.decode('ascii') + host = ri.netloc.split(splitstr)[0] + + try: + _netrc = netrc(netrc_path).authenticators(host) + if _netrc: + # Return with login / password + login_i = (0 if _netrc[0] else 1) + return (_netrc[login_i], _netrc[2]) + except (NetrcParseError, IOError): + # If there was a parsing error or a permissions issue reading the file, + # we'll just skip netrc auth unless explicitly asked to raise errors. + if raise_errors: + raise + + # AppEngine hackiness. + except (ImportError, AttributeError): + pass + + +def guess_filename(obj): + """Tries to guess the filename of the given object.""" + name = getattr(obj, 'name', None) + if (name and isinstance(name, basestring) and name[0] != '<' and + name[-1] != '>'): + return os.path.basename(name) + + +def extract_zipped_paths(path): + """Replace nonexistent paths that look like they refer to a member of a zip + archive with the location of an extracted copy of the target, or else + just return the provided path unchanged. + """ + if os.path.exists(path): + # this is already a valid path, no need to do anything further + return path + + # find the first valid part of the provided path and treat that as a zip archive + # assume the rest of the path is the name of a member in the archive + archive, member = os.path.split(path) + while archive and not os.path.exists(archive): + archive, prefix = os.path.split(archive) + member = '/'.join([prefix, member]) + + if not zipfile.is_zipfile(archive): + return path + + zip_file = zipfile.ZipFile(archive) + if member not in zip_file.namelist(): + return path + + # we have a valid zip archive and a valid member of that archive + tmp = tempfile.gettempdir() + extracted_path = os.path.join(tmp, *member.split('/')) + if not os.path.exists(extracted_path): + extracted_path = zip_file.extract(member, path=tmp) + + return extracted_path + + +def from_key_val_list(value): + """Take an object and test to see if it can be represented as a + dictionary. Unless it can not be represented as such, return an + OrderedDict, e.g., + + :: + + >>> from_key_val_list([('key', 'val')]) + OrderedDict([('key', 'val')]) + >>> from_key_val_list('string') + ValueError: cannot encode objects that are not 2-tuples + >>> from_key_val_list({'key': 'val'}) + OrderedDict([('key', 'val')]) + + :rtype: OrderedDict + """ + if value is None: + return None + + if isinstance(value, (str, bytes, bool, int)): + raise ValueError('cannot encode objects that are not 2-tuples') + + return OrderedDict(value) + + +def to_key_val_list(value): + """Take an object and test to see if it can be represented as a + dictionary. If it can be, return a list of tuples, e.g., + + :: + + >>> to_key_val_list([('key', 'val')]) + [('key', 'val')] + >>> to_key_val_list({'key': 'val'}) + [('key', 'val')] + >>> to_key_val_list('string') + ValueError: cannot encode objects that are not 2-tuples. + + :rtype: list + """ + if value is None: + return None + + if isinstance(value, (str, bytes, bool, int)): + raise ValueError('cannot encode objects that are not 2-tuples') + + if isinstance(value, Mapping): + value = value.items() + + return list(value) + + +# From mitsuhiko/werkzeug (used with permission). +def parse_list_header(value): + """Parse lists as described by RFC 2068 Section 2. + + In particular, parse comma-separated lists where the elements of + the list may include quoted-strings. A quoted-string could + contain a comma. A non-quoted string could have quotes in the + middle. Quotes are removed automatically after parsing. + + It basically works like :func:`parse_set_header` just that items + may appear multiple times and case sensitivity is preserved. + + The return value is a standard :class:`list`: + + >>> parse_list_header('token, "quoted value"') + ['token', 'quoted value'] + + To create a header from the :class:`list` again, use the + :func:`dump_header` function. + + :param value: a string with a list header. + :return: :class:`list` + :rtype: list + """ + result = [] + for item in _parse_list_header(value): + if item[:1] == item[-1:] == '"': + item = unquote_header_value(item[1:-1]) + result.append(item) + return result + + +# From mitsuhiko/werkzeug (used with permission). +def parse_dict_header(value): + """Parse lists of key, value pairs as described by RFC 2068 Section 2 and + convert them into a python dict: + + >>> d = parse_dict_header('foo="is a fish", bar="as well"') + >>> type(d) is dict + True + >>> sorted(d.items()) + [('bar', 'as well'), ('foo', 'is a fish')] + + If there is no value for a key it will be `None`: + + >>> parse_dict_header('key_without_value') + {'key_without_value': None} + + To create a header from the :class:`dict` again, use the + :func:`dump_header` function. + + :param value: a string with a dict header. + :return: :class:`dict` + :rtype: dict + """ + result = {} + for item in _parse_list_header(value): + if '=' not in item: + result[item] = None + continue + name, value = item.split('=', 1) + if value[:1] == value[-1:] == '"': + value = unquote_header_value(value[1:-1]) + result[name] = value + return result + + +# From mitsuhiko/werkzeug (used with permission). +def unquote_header_value(value, is_filename=False): + r"""Unquotes a header value. (Reversal of :func:`quote_header_value`). + This does not use the real unquoting but what browsers are actually + using for quoting. + + :param value: the header value to unquote. + :rtype: str + """ + if value and value[0] == value[-1] == '"': + # this is not the real unquoting, but fixing this so that the + # RFC is met will result in bugs with internet explorer and + # probably some other browsers as well. IE for example is + # uploading files with "C:\foo\bar.txt" as filename + value = value[1:-1] + + # if this is a filename and the starting characters look like + # a UNC path, then just return the value without quotes. Using the + # replace sequence below on a UNC path has the effect of turning + # the leading double slash into a single slash and then + # _fix_ie_filename() doesn't work correctly. See #458. + if not is_filename or value[:2] != '\\\\': + return value.replace('\\\\', '\\').replace('\\"', '"') + return value + + +def dict_from_cookiejar(cj): + """Returns a key/value dictionary from a CookieJar. + + :param cj: CookieJar object to extract cookies from. + :rtype: dict + """ + + cookie_dict = {} + + for cookie in cj: + cookie_dict[cookie.name] = cookie.value + + return cookie_dict + + +def add_dict_to_cookiejar(cj, cookie_dict): + """Returns a CookieJar from a key/value dictionary. + + :param cj: CookieJar to insert cookies into. + :param cookie_dict: Dict of key/values to insert into CookieJar. + :rtype: CookieJar + """ + + return cookiejar_from_dict(cookie_dict, cj) + + +def get_encodings_from_content(content): + """Returns encodings from given content string. + + :param content: bytestring to extract encodings from. + """ + warnings.warn(( + 'In requests 3.0, get_encodings_from_content will be removed. For ' + 'more information, please see the discussion on issue #2266. (This' + ' warning should only appear once.)'), + DeprecationWarning) + + charset_re = re.compile(r']', flags=re.I) + pragma_re = re.compile(r']', flags=re.I) + xml_re = re.compile(r'^<\?xml.*?encoding=["\']*(.+?)["\'>]') + + return (charset_re.findall(content) + + pragma_re.findall(content) + + xml_re.findall(content)) + + +def _parse_content_type_header(header): + """Returns content type and parameters from given header + + :param header: string + :return: tuple containing content type and dictionary of + parameters + """ + + tokens = header.split(';') + content_type, params = tokens[0].strip(), tokens[1:] + params_dict = {} + items_to_strip = "\"' " + + for param in params: + param = param.strip() + if param: + key, value = param, True + index_of_equals = param.find("=") + if index_of_equals != -1: + key = param[:index_of_equals].strip(items_to_strip) + value = param[index_of_equals + 1:].strip(items_to_strip) + params_dict[key.lower()] = value + return content_type, params_dict + + +def get_encoding_from_headers(headers): + """Returns encodings from given HTTP Header Dict. + + :param headers: dictionary to extract encoding from. + :rtype: str + """ + + content_type = headers.get('content-type') + + if not content_type: + return None + + content_type, params = _parse_content_type_header(content_type) + + if 'charset' in params: + return params['charset'].strip("'\"") + + if 'text' in content_type: + return 'ISO-8859-1' + + +def stream_decode_response_unicode(iterator, r): + """Stream decodes a iterator.""" + + if r.encoding is None: + for item in iterator: + yield item + return + + decoder = codecs.getincrementaldecoder(r.encoding)(errors='replace') + for chunk in iterator: + rv = decoder.decode(chunk) + if rv: + yield rv + rv = decoder.decode(b'', final=True) + if rv: + yield rv + + +def iter_slices(string, slice_length): + """Iterate over slices of a string.""" + pos = 0 + if slice_length is None or slice_length <= 0: + slice_length = len(string) + while pos < len(string): + yield string[pos:pos + slice_length] + pos += slice_length + + +def get_unicode_from_response(r): + """Returns the requested content back in unicode. + + :param r: Response object to get unicode content from. + + Tried: + + 1. charset from content-type + 2. fall back and replace all unicode characters + + :rtype: str + """ + warnings.warn(( + 'In requests 3.0, get_unicode_from_response will be removed. For ' + 'more information, please see the discussion on issue #2266. (This' + ' warning should only appear once.)'), + DeprecationWarning) + + tried_encodings = [] + + # Try charset from content-type + encoding = get_encoding_from_headers(r.headers) + + if encoding: + try: + return str(r.content, encoding) + except UnicodeError: + tried_encodings.append(encoding) + + # Fall back: + try: + return str(r.content, encoding, errors='replace') + except TypeError: + return r.content + + +# The unreserved URI characters (RFC 3986) +UNRESERVED_SET = frozenset( + "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz" + "0123456789-._~") + + +def unquote_unreserved(uri): + """Un-escape any percent-escape sequences in a URI that are unreserved + characters. This leaves all reserved, illegal and non-ASCII bytes encoded. + + :rtype: str + """ + parts = uri.split('%') + for i in range(1, len(parts)): + h = parts[i][0:2] + if len(h) == 2 and h.isalnum(): + try: + c = chr(int(h, 16)) + except ValueError: + raise InvalidURL("Invalid percent-escape sequence: '%s'" % h) + + if c in UNRESERVED_SET: + parts[i] = c + parts[i][2:] + else: + parts[i] = '%' + parts[i] + else: + parts[i] = '%' + parts[i] + return ''.join(parts) + + +def requote_uri(uri): + """Re-quote the given URI. + + This function passes the given URI through an unquote/quote cycle to + ensure that it is fully and consistently quoted. + + :rtype: str + """ + safe_with_percent = "!#$%&'()*+,/:;=?@[]~" + safe_without_percent = "!#$&'()*+,/:;=?@[]~" + try: + # Unquote only the unreserved characters + # Then quote only illegal characters (do not quote reserved, + # unreserved, or '%') + return quote(unquote_unreserved(uri), safe=safe_with_percent) + except InvalidURL: + # We couldn't unquote the given URI, so let's try quoting it, but + # there may be unquoted '%'s in the URI. We need to make sure they're + # properly quoted so they do not cause issues elsewhere. + return quote(uri, safe=safe_without_percent) + + +def address_in_network(ip, net): + """This function allows you to check if an IP belongs to a network subnet + + Example: returns True if ip = 192.168.1.1 and net = 192.168.1.0/24 + returns False if ip = 192.168.1.1 and net = 192.168.100.0/24 + + :rtype: bool + """ + ipaddr = struct.unpack('=L', socket.inet_aton(ip))[0] + netaddr, bits = net.split('/') + netmask = struct.unpack('=L', socket.inet_aton(dotted_netmask(int(bits))))[0] + network = struct.unpack('=L', socket.inet_aton(netaddr))[0] & netmask + return (ipaddr & netmask) == (network & netmask) + + +def dotted_netmask(mask): + """Converts mask from /xx format to xxx.xxx.xxx.xxx + + Example: if mask is 24 function returns 255.255.255.0 + + :rtype: str + """ + bits = 0xffffffff ^ (1 << 32 - mask) - 1 + return socket.inet_ntoa(struct.pack('>I', bits)) + + +def is_ipv4_address(string_ip): + """ + :rtype: bool + """ + try: + socket.inet_aton(string_ip) + except socket.error: + return False + return True + + +def is_valid_cidr(string_network): + """ + Very simple check of the cidr format in no_proxy variable. + + :rtype: bool + """ + if string_network.count('/') == 1: + try: + mask = int(string_network.split('/')[1]) + except ValueError: + return False + + if mask < 1 or mask > 32: + return False + + try: + socket.inet_aton(string_network.split('/')[0]) + except socket.error: + return False + else: + return False + return True + + +@contextlib.contextmanager +def set_environ(env_name, value): + """Set the environment variable 'env_name' to 'value' + + Save previous value, yield, and then restore the previous value stored in + the environment variable 'env_name'. + + If 'value' is None, do nothing""" + value_changed = value is not None + if value_changed: + old_value = os.environ.get(env_name) + os.environ[env_name] = value + try: + yield + finally: + if value_changed: + if old_value is None: + del os.environ[env_name] + else: + os.environ[env_name] = old_value + + +def should_bypass_proxies(url, no_proxy): + """ + Returns whether we should bypass proxies or not. + + :rtype: bool + """ + # Prioritize lowercase environment variables over uppercase + # to keep a consistent behaviour with other http projects (curl, wget). + get_proxy = lambda k: os.environ.get(k) or os.environ.get(k.upper()) + + # First check whether no_proxy is defined. If it is, check that the URL + # we're getting isn't in the no_proxy list. + no_proxy_arg = no_proxy + if no_proxy is None: + no_proxy = get_proxy('no_proxy') + parsed = urlparse(url) + + if parsed.hostname is None: + # URLs don't always have hostnames, e.g. file:/// urls. + return True + + if no_proxy: + # We need to check whether we match here. We need to see if we match + # the end of the hostname, both with and without the port. + no_proxy = ( + host for host in no_proxy.replace(' ', '').split(',') if host + ) + + if is_ipv4_address(parsed.hostname): + for proxy_ip in no_proxy: + if is_valid_cidr(proxy_ip): + if address_in_network(parsed.hostname, proxy_ip): + return True + elif parsed.hostname == proxy_ip: + # If no_proxy ip was defined in plain IP notation instead of cidr notation & + # matches the IP of the index + return True + else: + host_with_port = parsed.hostname + if parsed.port: + host_with_port += ':{}'.format(parsed.port) + + for host in no_proxy: + if parsed.hostname.endswith(host) or host_with_port.endswith(host): + # The URL does match something in no_proxy, so we don't want + # to apply the proxies on this URL. + return True + + with set_environ('no_proxy', no_proxy_arg): + # parsed.hostname can be `None` in cases such as a file URI. + try: + bypass = proxy_bypass(parsed.hostname) + except (TypeError, socket.gaierror): + bypass = False + + if bypass: + return True + + return False + + +def get_environ_proxies(url, no_proxy=None): + """ + Return a dict of environment proxies. + + :rtype: dict + """ + if should_bypass_proxies(url, no_proxy=no_proxy): + return {} + else: + return getproxies() + + +def select_proxy(url, proxies): + """Select a proxy for the url, if applicable. + + :param url: The url being for the request + :param proxies: A dictionary of schemes or schemes and hosts to proxy URLs + """ + proxies = proxies or {} + urlparts = urlparse(url) + if urlparts.hostname is None: + return proxies.get(urlparts.scheme, proxies.get('all')) + + proxy_keys = [ + urlparts.scheme + '://' + urlparts.hostname, + urlparts.scheme, + 'all://' + urlparts.hostname, + 'all', + ] + proxy = None + for proxy_key in proxy_keys: + if proxy_key in proxies: + proxy = proxies[proxy_key] + break + + return proxy + + +def default_user_agent(name="python-requests"): + """ + Return a string representing the default user agent. + + :rtype: str + """ + return '%s/%s' % (name, __version__) + + +def default_headers(): + """ + :rtype: requests.structures.CaseInsensitiveDict + """ + return CaseInsensitiveDict({ + 'User-Agent': default_user_agent(), + 'Accept-Encoding': ', '.join(('gzip', 'deflate')), + 'Accept': '*/*', + 'Connection': 'keep-alive', + }) + + +def parse_header_links(value): + """Return a list of parsed link headers proxies. + + i.e. Link: ; rel=front; type="image/jpeg",; rel=back;type="image/jpeg" + + :rtype: list + """ + + links = [] + + replace_chars = ' \'"' + + value = value.strip(replace_chars) + if not value: + return links + + for val in re.split(', *<', value): + try: + url, params = val.split(';', 1) + except ValueError: + url, params = val, '' + + link = {'url': url.strip('<> \'"')} + + for param in params.split(';'): + try: + key, value = param.split('=') + except ValueError: + break + + link[key.strip(replace_chars)] = value.strip(replace_chars) + + links.append(link) + + return links + + +# Null bytes; no need to recreate these on each call to guess_json_utf +_null = '\x00'.encode('ascii') # encoding to ASCII for Python 3 +_null2 = _null * 2 +_null3 = _null * 3 + + +def guess_json_utf(data): + """ + :rtype: str + """ + # JSON always starts with two ASCII characters, so detection is as + # easy as counting the nulls and from their location and count + # determine the encoding. Also detect a BOM, if present. + sample = data[:4] + if sample in (codecs.BOM_UTF32_LE, codecs.BOM_UTF32_BE): + return 'utf-32' # BOM included + if sample[:3] == codecs.BOM_UTF8: + return 'utf-8-sig' # BOM included, MS style (discouraged) + if sample[:2] in (codecs.BOM_UTF16_LE, codecs.BOM_UTF16_BE): + return 'utf-16' # BOM included + nullcount = sample.count(_null) + if nullcount == 0: + return 'utf-8' + if nullcount == 2: + if sample[::2] == _null2: # 1st and 3rd are null + return 'utf-16-be' + if sample[1::2] == _null2: # 2nd and 4th are null + return 'utf-16-le' + # Did not detect 2 valid UTF-16 ascii-range characters + if nullcount == 3: + if sample[:3] == _null3: + return 'utf-32-be' + if sample[1:] == _null3: + return 'utf-32-le' + # Did not detect a valid UTF-32 ascii-range character + return None + + +def prepend_scheme_if_needed(url, new_scheme): + """Given a URL that may or may not have a scheme, prepend the given scheme. + Does not replace a present scheme with the one provided as an argument. + + :rtype: str + """ + scheme, netloc, path, params, query, fragment = urlparse(url, new_scheme) + + # urlparse is a finicky beast, and sometimes decides that there isn't a + # netloc present. Assume that it's being over-cautious, and switch netloc + # and path if urlparse decided there was no netloc. + if not netloc: + netloc, path = path, netloc + + return urlunparse((scheme, netloc, path, params, query, fragment)) + + +def get_auth_from_url(url): + """Given a url with authentication components, extract them into a tuple of + username,password. + + :rtype: (str,str) + """ + parsed = urlparse(url) + + try: + auth = (unquote(parsed.username), unquote(parsed.password)) + except (AttributeError, TypeError): + auth = ('', '') + + return auth + + +# Moved outside of function to avoid recompile every call +_CLEAN_HEADER_REGEX_BYTE = re.compile(b'^\\S[^\\r\\n]*$|^$') +_CLEAN_HEADER_REGEX_STR = re.compile(r'^\S[^\r\n]*$|^$') + + +def check_header_validity(header): + """Verifies that header value is a string which doesn't contain + leading whitespace or return characters. This prevents unintended + header injection. + + :param header: tuple, in the format (name, value). + """ + name, value = header + + if isinstance(value, bytes): + pat = _CLEAN_HEADER_REGEX_BYTE + else: + pat = _CLEAN_HEADER_REGEX_STR + try: + if not pat.match(value): + raise InvalidHeader("Invalid return character or leading space in header: %s" % name) + except TypeError: + raise InvalidHeader("Value for header {%s: %s} must be of type str or " + "bytes, not %s" % (name, value, type(value))) + + +def urldefragauth(url): + """ + Given a url remove the fragment and the authentication part. + + :rtype: str + """ + scheme, netloc, path, params, query, fragment = urlparse(url) + + # see func:`prepend_scheme_if_needed` + if not netloc: + netloc, path = path, netloc + + netloc = netloc.rsplit('@', 1)[-1] + + return urlunparse((scheme, netloc, path, params, query, '')) + + +def rewind_body(prepared_request): + """Move file pointer back to its recorded starting position + so it can be read again on redirect. + """ + body_seek = getattr(prepared_request.body, 'seek', None) + if body_seek is not None and isinstance(prepared_request._body_position, integer_types): + try: + body_seek(prepared_request._body_position) + except (IOError, OSError): + raise UnrewindableBodyError("An error occurred when rewinding request " + "body for redirect.") + else: + raise UnrewindableBodyError("Unable to rewind request body for redirect.") diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/_securetransport/bindings.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/_securetransport/bindings.py new file mode 100644 index 0000000000000000000000000000000000000000..be3421535907e012aca5de39baf3c06e523fed21 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/_securetransport/bindings.py @@ -0,0 +1,593 @@ +""" +This module uses ctypes to bind a whole bunch of functions and constants from +SecureTransport. The goal here is to provide the low-level API to +SecureTransport. These are essentially the C-level functions and constants, and +they're pretty gross to work with. + +This code is a bastardised version of the code found in Will Bond's oscrypto +library. An enormous debt is owed to him for blazing this trail for us. For +that reason, this code should be considered to be covered both by urllib3's +license and by oscrypto's: + + Copyright (c) 2015-2016 Will Bond + + Permission is hereby granted, free of charge, to any person obtaining a + copy of this software and associated documentation files (the "Software"), + to deal in the Software without restriction, including without limitation + the rights to use, copy, modify, merge, publish, distribute, sublicense, + and/or sell copies of the Software, and to permit persons to whom the + Software is furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in + all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING + FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER + DEALINGS IN THE SOFTWARE. +""" +from __future__ import absolute_import + +import platform +from ctypes.util import find_library +from ctypes import ( + c_void_p, c_int32, c_char_p, c_size_t, c_byte, c_uint32, c_ulong, c_long, + c_bool +) +from ctypes import CDLL, POINTER, CFUNCTYPE + + +security_path = find_library('Security') +if not security_path: + raise ImportError('The library Security could not be found') + + +core_foundation_path = find_library('CoreFoundation') +if not core_foundation_path: + raise ImportError('The library CoreFoundation could not be found') + + +version = platform.mac_ver()[0] +version_info = tuple(map(int, version.split('.'))) +if version_info < (10, 8): + raise OSError( + 'Only OS X 10.8 and newer are supported, not %s.%s' % ( + version_info[0], version_info[1] + ) + ) + +Security = CDLL(security_path, use_errno=True) +CoreFoundation = CDLL(core_foundation_path, use_errno=True) + +Boolean = c_bool +CFIndex = c_long +CFStringEncoding = c_uint32 +CFData = c_void_p +CFString = c_void_p +CFArray = c_void_p +CFMutableArray = c_void_p +CFDictionary = c_void_p +CFError = c_void_p +CFType = c_void_p +CFTypeID = c_ulong + +CFTypeRef = POINTER(CFType) +CFAllocatorRef = c_void_p + +OSStatus = c_int32 + +CFDataRef = POINTER(CFData) +CFStringRef = POINTER(CFString) +CFArrayRef = POINTER(CFArray) +CFMutableArrayRef = POINTER(CFMutableArray) +CFDictionaryRef = POINTER(CFDictionary) +CFArrayCallBacks = c_void_p +CFDictionaryKeyCallBacks = c_void_p +CFDictionaryValueCallBacks = c_void_p + +SecCertificateRef = POINTER(c_void_p) +SecExternalFormat = c_uint32 +SecExternalItemType = c_uint32 +SecIdentityRef = POINTER(c_void_p) +SecItemImportExportFlags = c_uint32 +SecItemImportExportKeyParameters = c_void_p +SecKeychainRef = POINTER(c_void_p) +SSLProtocol = c_uint32 +SSLCipherSuite = c_uint32 +SSLContextRef = POINTER(c_void_p) +SecTrustRef = POINTER(c_void_p) +SSLConnectionRef = c_uint32 +SecTrustResultType = c_uint32 +SecTrustOptionFlags = c_uint32 +SSLProtocolSide = c_uint32 +SSLConnectionType = c_uint32 +SSLSessionOption = c_uint32 + + +try: + Security.SecItemImport.argtypes = [ + CFDataRef, + CFStringRef, + POINTER(SecExternalFormat), + POINTER(SecExternalItemType), + SecItemImportExportFlags, + POINTER(SecItemImportExportKeyParameters), + SecKeychainRef, + POINTER(CFArrayRef), + ] + Security.SecItemImport.restype = OSStatus + + Security.SecCertificateGetTypeID.argtypes = [] + Security.SecCertificateGetTypeID.restype = CFTypeID + + Security.SecIdentityGetTypeID.argtypes = [] + Security.SecIdentityGetTypeID.restype = CFTypeID + + Security.SecKeyGetTypeID.argtypes = [] + Security.SecKeyGetTypeID.restype = CFTypeID + + Security.SecCertificateCreateWithData.argtypes = [ + CFAllocatorRef, + CFDataRef + ] + Security.SecCertificateCreateWithData.restype = SecCertificateRef + + Security.SecCertificateCopyData.argtypes = [ + SecCertificateRef + ] + Security.SecCertificateCopyData.restype = CFDataRef + + Security.SecCopyErrorMessageString.argtypes = [ + OSStatus, + c_void_p + ] + Security.SecCopyErrorMessageString.restype = CFStringRef + + Security.SecIdentityCreateWithCertificate.argtypes = [ + CFTypeRef, + SecCertificateRef, + POINTER(SecIdentityRef) + ] + Security.SecIdentityCreateWithCertificate.restype = OSStatus + + Security.SecKeychainCreate.argtypes = [ + c_char_p, + c_uint32, + c_void_p, + Boolean, + c_void_p, + POINTER(SecKeychainRef) + ] + Security.SecKeychainCreate.restype = OSStatus + + Security.SecKeychainDelete.argtypes = [ + SecKeychainRef + ] + Security.SecKeychainDelete.restype = OSStatus + + Security.SecPKCS12Import.argtypes = [ + CFDataRef, + CFDictionaryRef, + POINTER(CFArrayRef) + ] + Security.SecPKCS12Import.restype = OSStatus + + SSLReadFunc = CFUNCTYPE(OSStatus, SSLConnectionRef, c_void_p, POINTER(c_size_t)) + SSLWriteFunc = CFUNCTYPE(OSStatus, SSLConnectionRef, POINTER(c_byte), POINTER(c_size_t)) + + Security.SSLSetIOFuncs.argtypes = [ + SSLContextRef, + SSLReadFunc, + SSLWriteFunc + ] + Security.SSLSetIOFuncs.restype = OSStatus + + Security.SSLSetPeerID.argtypes = [ + SSLContextRef, + c_char_p, + c_size_t + ] + Security.SSLSetPeerID.restype = OSStatus + + Security.SSLSetCertificate.argtypes = [ + SSLContextRef, + CFArrayRef + ] + Security.SSLSetCertificate.restype = OSStatus + + Security.SSLSetCertificateAuthorities.argtypes = [ + SSLContextRef, + CFTypeRef, + Boolean + ] + Security.SSLSetCertificateAuthorities.restype = OSStatus + + Security.SSLSetConnection.argtypes = [ + SSLContextRef, + SSLConnectionRef + ] + Security.SSLSetConnection.restype = OSStatus + + Security.SSLSetPeerDomainName.argtypes = [ + SSLContextRef, + c_char_p, + c_size_t + ] + Security.SSLSetPeerDomainName.restype = OSStatus + + Security.SSLHandshake.argtypes = [ + SSLContextRef + ] + Security.SSLHandshake.restype = OSStatus + + Security.SSLRead.argtypes = [ + SSLContextRef, + c_char_p, + c_size_t, + POINTER(c_size_t) + ] + Security.SSLRead.restype = OSStatus + + Security.SSLWrite.argtypes = [ + SSLContextRef, + c_char_p, + c_size_t, + POINTER(c_size_t) + ] + Security.SSLWrite.restype = OSStatus + + Security.SSLClose.argtypes = [ + SSLContextRef + ] + Security.SSLClose.restype = OSStatus + + Security.SSLGetNumberSupportedCiphers.argtypes = [ + SSLContextRef, + POINTER(c_size_t) + ] + Security.SSLGetNumberSupportedCiphers.restype = OSStatus + + Security.SSLGetSupportedCiphers.argtypes = [ + SSLContextRef, + POINTER(SSLCipherSuite), + POINTER(c_size_t) + ] + Security.SSLGetSupportedCiphers.restype = OSStatus + + Security.SSLSetEnabledCiphers.argtypes = [ + SSLContextRef, + POINTER(SSLCipherSuite), + c_size_t + ] + Security.SSLSetEnabledCiphers.restype = OSStatus + + Security.SSLGetNumberEnabledCiphers.argtype = [ + SSLContextRef, + POINTER(c_size_t) + ] + Security.SSLGetNumberEnabledCiphers.restype = OSStatus + + Security.SSLGetEnabledCiphers.argtypes = [ + SSLContextRef, + POINTER(SSLCipherSuite), + POINTER(c_size_t) + ] + Security.SSLGetEnabledCiphers.restype = OSStatus + + Security.SSLGetNegotiatedCipher.argtypes = [ + SSLContextRef, + POINTER(SSLCipherSuite) + ] + Security.SSLGetNegotiatedCipher.restype = OSStatus + + Security.SSLGetNegotiatedProtocolVersion.argtypes = [ + SSLContextRef, + POINTER(SSLProtocol) + ] + Security.SSLGetNegotiatedProtocolVersion.restype = OSStatus + + Security.SSLCopyPeerTrust.argtypes = [ + SSLContextRef, + POINTER(SecTrustRef) + ] + Security.SSLCopyPeerTrust.restype = OSStatus + + Security.SecTrustSetAnchorCertificates.argtypes = [ + SecTrustRef, + CFArrayRef + ] + Security.SecTrustSetAnchorCertificates.restype = OSStatus + + Security.SecTrustSetAnchorCertificatesOnly.argstypes = [ + SecTrustRef, + Boolean + ] + Security.SecTrustSetAnchorCertificatesOnly.restype = OSStatus + + Security.SecTrustEvaluate.argtypes = [ + SecTrustRef, + POINTER(SecTrustResultType) + ] + Security.SecTrustEvaluate.restype = OSStatus + + Security.SecTrustGetCertificateCount.argtypes = [ + SecTrustRef + ] + Security.SecTrustGetCertificateCount.restype = CFIndex + + Security.SecTrustGetCertificateAtIndex.argtypes = [ + SecTrustRef, + CFIndex + ] + Security.SecTrustGetCertificateAtIndex.restype = SecCertificateRef + + Security.SSLCreateContext.argtypes = [ + CFAllocatorRef, + SSLProtocolSide, + SSLConnectionType + ] + Security.SSLCreateContext.restype = SSLContextRef + + Security.SSLSetSessionOption.argtypes = [ + SSLContextRef, + SSLSessionOption, + Boolean + ] + Security.SSLSetSessionOption.restype = OSStatus + + Security.SSLSetProtocolVersionMin.argtypes = [ + SSLContextRef, + SSLProtocol + ] + Security.SSLSetProtocolVersionMin.restype = OSStatus + + Security.SSLSetProtocolVersionMax.argtypes = [ + SSLContextRef, + SSLProtocol + ] + Security.SSLSetProtocolVersionMax.restype = OSStatus + + Security.SecCopyErrorMessageString.argtypes = [ + OSStatus, + c_void_p + ] + Security.SecCopyErrorMessageString.restype = CFStringRef + + Security.SSLReadFunc = SSLReadFunc + Security.SSLWriteFunc = SSLWriteFunc + Security.SSLContextRef = SSLContextRef + Security.SSLProtocol = SSLProtocol + Security.SSLCipherSuite = SSLCipherSuite + Security.SecIdentityRef = SecIdentityRef + Security.SecKeychainRef = SecKeychainRef + Security.SecTrustRef = SecTrustRef + Security.SecTrustResultType = SecTrustResultType + Security.SecExternalFormat = SecExternalFormat + Security.OSStatus = OSStatus + + Security.kSecImportExportPassphrase = CFStringRef.in_dll( + Security, 'kSecImportExportPassphrase' + ) + Security.kSecImportItemIdentity = CFStringRef.in_dll( + Security, 'kSecImportItemIdentity' + ) + + # CoreFoundation time! + CoreFoundation.CFRetain.argtypes = [ + CFTypeRef + ] + CoreFoundation.CFRetain.restype = CFTypeRef + + CoreFoundation.CFRelease.argtypes = [ + CFTypeRef + ] + CoreFoundation.CFRelease.restype = None + + CoreFoundation.CFGetTypeID.argtypes = [ + CFTypeRef + ] + CoreFoundation.CFGetTypeID.restype = CFTypeID + + CoreFoundation.CFStringCreateWithCString.argtypes = [ + CFAllocatorRef, + c_char_p, + CFStringEncoding + ] + CoreFoundation.CFStringCreateWithCString.restype = CFStringRef + + CoreFoundation.CFStringGetCStringPtr.argtypes = [ + CFStringRef, + CFStringEncoding + ] + CoreFoundation.CFStringGetCStringPtr.restype = c_char_p + + CoreFoundation.CFStringGetCString.argtypes = [ + CFStringRef, + c_char_p, + CFIndex, + CFStringEncoding + ] + CoreFoundation.CFStringGetCString.restype = c_bool + + CoreFoundation.CFDataCreate.argtypes = [ + CFAllocatorRef, + c_char_p, + CFIndex + ] + CoreFoundation.CFDataCreate.restype = CFDataRef + + CoreFoundation.CFDataGetLength.argtypes = [ + CFDataRef + ] + CoreFoundation.CFDataGetLength.restype = CFIndex + + CoreFoundation.CFDataGetBytePtr.argtypes = [ + CFDataRef + ] + CoreFoundation.CFDataGetBytePtr.restype = c_void_p + + CoreFoundation.CFDictionaryCreate.argtypes = [ + CFAllocatorRef, + POINTER(CFTypeRef), + POINTER(CFTypeRef), + CFIndex, + CFDictionaryKeyCallBacks, + CFDictionaryValueCallBacks + ] + CoreFoundation.CFDictionaryCreate.restype = CFDictionaryRef + + CoreFoundation.CFDictionaryGetValue.argtypes = [ + CFDictionaryRef, + CFTypeRef + ] + CoreFoundation.CFDictionaryGetValue.restype = CFTypeRef + + CoreFoundation.CFArrayCreate.argtypes = [ + CFAllocatorRef, + POINTER(CFTypeRef), + CFIndex, + CFArrayCallBacks, + ] + CoreFoundation.CFArrayCreate.restype = CFArrayRef + + CoreFoundation.CFArrayCreateMutable.argtypes = [ + CFAllocatorRef, + CFIndex, + CFArrayCallBacks + ] + CoreFoundation.CFArrayCreateMutable.restype = CFMutableArrayRef + + CoreFoundation.CFArrayAppendValue.argtypes = [ + CFMutableArrayRef, + c_void_p + ] + CoreFoundation.CFArrayAppendValue.restype = None + + CoreFoundation.CFArrayGetCount.argtypes = [ + CFArrayRef + ] + CoreFoundation.CFArrayGetCount.restype = CFIndex + + CoreFoundation.CFArrayGetValueAtIndex.argtypes = [ + CFArrayRef, + CFIndex + ] + CoreFoundation.CFArrayGetValueAtIndex.restype = c_void_p + + CoreFoundation.kCFAllocatorDefault = CFAllocatorRef.in_dll( + CoreFoundation, 'kCFAllocatorDefault' + ) + CoreFoundation.kCFTypeArrayCallBacks = c_void_p.in_dll(CoreFoundation, 'kCFTypeArrayCallBacks') + CoreFoundation.kCFTypeDictionaryKeyCallBacks = c_void_p.in_dll( + CoreFoundation, 'kCFTypeDictionaryKeyCallBacks' + ) + CoreFoundation.kCFTypeDictionaryValueCallBacks = c_void_p.in_dll( + CoreFoundation, 'kCFTypeDictionaryValueCallBacks' + ) + + CoreFoundation.CFTypeRef = CFTypeRef + CoreFoundation.CFArrayRef = CFArrayRef + CoreFoundation.CFStringRef = CFStringRef + CoreFoundation.CFDictionaryRef = CFDictionaryRef + +except (AttributeError): + raise ImportError('Error initializing ctypes') + + +class CFConst(object): + """ + A class object that acts as essentially a namespace for CoreFoundation + constants. + """ + kCFStringEncodingUTF8 = CFStringEncoding(0x08000100) + + +class SecurityConst(object): + """ + A class object that acts as essentially a namespace for Security constants. + """ + kSSLSessionOptionBreakOnServerAuth = 0 + + kSSLProtocol2 = 1 + kSSLProtocol3 = 2 + kTLSProtocol1 = 4 + kTLSProtocol11 = 7 + kTLSProtocol12 = 8 + kTLSProtocol13 = 10 + kTLSProtocolMaxSupported = 999 + + kSSLClientSide = 1 + kSSLStreamType = 0 + + kSecFormatPEMSequence = 10 + + kSecTrustResultInvalid = 0 + kSecTrustResultProceed = 1 + # This gap is present on purpose: this was kSecTrustResultConfirm, which + # is deprecated. + kSecTrustResultDeny = 3 + kSecTrustResultUnspecified = 4 + kSecTrustResultRecoverableTrustFailure = 5 + kSecTrustResultFatalTrustFailure = 6 + kSecTrustResultOtherError = 7 + + errSSLProtocol = -9800 + errSSLWouldBlock = -9803 + errSSLClosedGraceful = -9805 + errSSLClosedNoNotify = -9816 + errSSLClosedAbort = -9806 + + errSSLXCertChainInvalid = -9807 + errSSLCrypto = -9809 + errSSLInternal = -9810 + errSSLCertExpired = -9814 + errSSLCertNotYetValid = -9815 + errSSLUnknownRootCert = -9812 + errSSLNoRootCert = -9813 + errSSLHostNameMismatch = -9843 + errSSLPeerHandshakeFail = -9824 + errSSLPeerUserCancelled = -9839 + errSSLWeakPeerEphemeralDHKey = -9850 + errSSLServerAuthCompleted = -9841 + errSSLRecordOverflow = -9847 + + errSecVerifyFailed = -67808 + errSecNoTrustSettings = -25263 + errSecItemNotFound = -25300 + errSecInvalidTrustSettings = -25262 + + # Cipher suites. We only pick the ones our default cipher string allows. + # Source: https://developer.apple.com/documentation/security/1550981-ssl_cipher_suite_values + TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384 = 0xC02C + TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 = 0xC030 + TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256 = 0xC02B + TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 = 0xC02F + TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256 = 0xCCA9 + TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305_SHA256 = 0xCCA8 + TLS_DHE_RSA_WITH_AES_256_GCM_SHA384 = 0x009F + TLS_DHE_RSA_WITH_AES_128_GCM_SHA256 = 0x009E + TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA384 = 0xC024 + TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA384 = 0xC028 + TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA = 0xC00A + TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA = 0xC014 + TLS_DHE_RSA_WITH_AES_256_CBC_SHA256 = 0x006B + TLS_DHE_RSA_WITH_AES_256_CBC_SHA = 0x0039 + TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA256 = 0xC023 + TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256 = 0xC027 + TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA = 0xC009 + TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA = 0xC013 + TLS_DHE_RSA_WITH_AES_128_CBC_SHA256 = 0x0067 + TLS_DHE_RSA_WITH_AES_128_CBC_SHA = 0x0033 + TLS_RSA_WITH_AES_256_GCM_SHA384 = 0x009D + TLS_RSA_WITH_AES_128_GCM_SHA256 = 0x009C + TLS_RSA_WITH_AES_256_CBC_SHA256 = 0x003D + TLS_RSA_WITH_AES_128_CBC_SHA256 = 0x003C + TLS_RSA_WITH_AES_256_CBC_SHA = 0x0035 + TLS_RSA_WITH_AES_128_CBC_SHA = 0x002F + TLS_AES_128_GCM_SHA256 = 0x1301 + TLS_AES_256_GCM_SHA384 = 0x1302 + TLS_AES_128_CCM_8_SHA256 = 0x1305 + TLS_AES_128_CCM_SHA256 = 0x1304 diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/pyopenssl.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/pyopenssl.py new file mode 100644 index 0000000000000000000000000000000000000000..abfc3191325a0f00ac3dcab8c5066a01843c96fd --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/pyopenssl.py @@ -0,0 +1,485 @@ +""" +SSL with SNI_-support for Python 2. Follow these instructions if you would +like to verify SSL certificates in Python 2. Note, the default libraries do +*not* do certificate checking; you need to do additional work to validate +certificates yourself. + +This needs the following packages installed: + +* pyOpenSSL (tested with 16.0.0) +* cryptography (minimum 1.3.4, from pyopenssl) +* idna (minimum 2.0, from cryptography) + +However, pyopenssl depends on cryptography, which depends on idna, so while we +use all three directly here we end up having relatively few packages required. + +You can install them with the following command: + + pip install pyopenssl cryptography idna + +To activate certificate checking, call +:func:`~urllib3.contrib.pyopenssl.inject_into_urllib3` from your Python code +before you begin making HTTP requests. This can be done in a ``sitecustomize`` +module, or at any other time before your application begins using ``urllib3``, +like this:: + + try: + import urllib3.contrib.pyopenssl + urllib3.contrib.pyopenssl.inject_into_urllib3() + except ImportError: + pass + +Now you can use :mod:`urllib3` as you normally would, and it will support SNI +when the required modules are installed. + +Activating this module also has the positive side effect of disabling SSL/TLS +compression in Python 2 (see `CRIME attack`_). + +If you want to configure the default list of supported cipher suites, you can +set the ``urllib3.contrib.pyopenssl.DEFAULT_SSL_CIPHER_LIST`` variable. + +.. _sni: https://en.wikipedia.org/wiki/Server_Name_Indication +.. _crime attack: https://en.wikipedia.org/wiki/CRIME_(security_exploit) +""" +from __future__ import absolute_import + +import OpenSSL.SSL +from cryptography import x509 +from cryptography.hazmat.backends.openssl import backend as openssl_backend +from cryptography.hazmat.backends.openssl.x509 import _Certificate +try: + from cryptography.x509 import UnsupportedExtension +except ImportError: + # UnsupportedExtension is gone in cryptography >= 2.1.0 + class UnsupportedExtension(Exception): + pass + +from socket import timeout, error as SocketError +from io import BytesIO + +try: # Platform-specific: Python 2 + from socket import _fileobject +except ImportError: # Platform-specific: Python 3 + _fileobject = None + from ..packages.backports.makefile import backport_makefile + +import logging +import ssl +from ..packages import six +import sys + +from .. import util + + +__all__ = ['inject_into_urllib3', 'extract_from_urllib3'] + +# SNI always works. +HAS_SNI = True + +# Map from urllib3 to PyOpenSSL compatible parameter-values. +_openssl_versions = { + util.PROTOCOL_TLS: OpenSSL.SSL.SSLv23_METHOD, + ssl.PROTOCOL_TLSv1: OpenSSL.SSL.TLSv1_METHOD, +} + +if hasattr(ssl, 'PROTOCOL_SSLv3') and hasattr(OpenSSL.SSL, 'SSLv3_METHOD'): + _openssl_versions[ssl.PROTOCOL_SSLv3] = OpenSSL.SSL.SSLv3_METHOD + +if hasattr(ssl, 'PROTOCOL_TLSv1_1') and hasattr(OpenSSL.SSL, 'TLSv1_1_METHOD'): + _openssl_versions[ssl.PROTOCOL_TLSv1_1] = OpenSSL.SSL.TLSv1_1_METHOD + +if hasattr(ssl, 'PROTOCOL_TLSv1_2') and hasattr(OpenSSL.SSL, 'TLSv1_2_METHOD'): + _openssl_versions[ssl.PROTOCOL_TLSv1_2] = OpenSSL.SSL.TLSv1_2_METHOD + + +_stdlib_to_openssl_verify = { + ssl.CERT_NONE: OpenSSL.SSL.VERIFY_NONE, + ssl.CERT_OPTIONAL: OpenSSL.SSL.VERIFY_PEER, + ssl.CERT_REQUIRED: + OpenSSL.SSL.VERIFY_PEER + OpenSSL.SSL.VERIFY_FAIL_IF_NO_PEER_CERT, +} +_openssl_to_stdlib_verify = dict( + (v, k) for k, v in _stdlib_to_openssl_verify.items() +) + +# OpenSSL will only write 16K at a time +SSL_WRITE_BLOCKSIZE = 16384 + +orig_util_HAS_SNI = util.HAS_SNI +orig_util_SSLContext = util.ssl_.SSLContext + + +log = logging.getLogger(__name__) + + +def inject_into_urllib3(): + 'Monkey-patch urllib3 with PyOpenSSL-backed SSL-support.' + + _validate_dependencies_met() + + util.SSLContext = PyOpenSSLContext + util.ssl_.SSLContext = PyOpenSSLContext + util.HAS_SNI = HAS_SNI + util.ssl_.HAS_SNI = HAS_SNI + util.IS_PYOPENSSL = True + util.ssl_.IS_PYOPENSSL = True + + +def extract_from_urllib3(): + 'Undo monkey-patching by :func:`inject_into_urllib3`.' + + util.SSLContext = orig_util_SSLContext + util.ssl_.SSLContext = orig_util_SSLContext + util.HAS_SNI = orig_util_HAS_SNI + util.ssl_.HAS_SNI = orig_util_HAS_SNI + util.IS_PYOPENSSL = False + util.ssl_.IS_PYOPENSSL = False + + +def _validate_dependencies_met(): + """ + Verifies that PyOpenSSL's package-level dependencies have been met. + Throws `ImportError` if they are not met. + """ + # Method added in `cryptography==1.1`; not available in older versions + from cryptography.x509.extensions import Extensions + if getattr(Extensions, "get_extension_for_class", None) is None: + raise ImportError("'cryptography' module missing required functionality. " + "Try upgrading to v1.3.4 or newer.") + + # pyOpenSSL 0.14 and above use cryptography for OpenSSL bindings. The _x509 + # attribute is only present on those versions. + from OpenSSL.crypto import X509 + x509 = X509() + if getattr(x509, "_x509", None) is None: + raise ImportError("'pyOpenSSL' module missing required functionality. " + "Try upgrading to v0.14 or newer.") + + +def _dnsname_to_stdlib(name): + """ + Converts a dNSName SubjectAlternativeName field to the form used by the + standard library on the given Python version. + + Cryptography produces a dNSName as a unicode string that was idna-decoded + from ASCII bytes. We need to idna-encode that string to get it back, and + then on Python 3 we also need to convert to unicode via UTF-8 (the stdlib + uses PyUnicode_FromStringAndSize on it, which decodes via UTF-8). + + If the name cannot be idna-encoded then we return None signalling that + the name given should be skipped. + """ + def idna_encode(name): + """ + Borrowed wholesale from the Python Cryptography Project. It turns out + that we can't just safely call `idna.encode`: it can explode for + wildcard names. This avoids that problem. + """ + from pip._vendor import idna + + try: + for prefix in [u'*.', u'.']: + if name.startswith(prefix): + name = name[len(prefix):] + return prefix.encode('ascii') + idna.encode(name) + return idna.encode(name) + except idna.core.IDNAError: + return None + + # Don't send IPv6 addresses through the IDNA encoder. + if ':' in name: + return name + + name = idna_encode(name) + if name is None: + return None + elif sys.version_info >= (3, 0): + name = name.decode('utf-8') + return name + + +def get_subj_alt_name(peer_cert): + """ + Given an PyOpenSSL certificate, provides all the subject alternative names. + """ + # Pass the cert to cryptography, which has much better APIs for this. + if hasattr(peer_cert, "to_cryptography"): + cert = peer_cert.to_cryptography() + else: + # This is technically using private APIs, but should work across all + # relevant versions before PyOpenSSL got a proper API for this. + cert = _Certificate(openssl_backend, peer_cert._x509) + + # We want to find the SAN extension. Ask Cryptography to locate it (it's + # faster than looping in Python) + try: + ext = cert.extensions.get_extension_for_class( + x509.SubjectAlternativeName + ).value + except x509.ExtensionNotFound: + # No such extension, return the empty list. + return [] + except (x509.DuplicateExtension, UnsupportedExtension, + x509.UnsupportedGeneralNameType, UnicodeError) as e: + # A problem has been found with the quality of the certificate. Assume + # no SAN field is present. + log.warning( + "A problem was encountered with the certificate that prevented " + "urllib3 from finding the SubjectAlternativeName field. This can " + "affect certificate validation. The error was %s", + e, + ) + return [] + + # We want to return dNSName and iPAddress fields. We need to cast the IPs + # back to strings because the match_hostname function wants them as + # strings. + # Sadly the DNS names need to be idna encoded and then, on Python 3, UTF-8 + # decoded. This is pretty frustrating, but that's what the standard library + # does with certificates, and so we need to attempt to do the same. + # We also want to skip over names which cannot be idna encoded. + names = [ + ('DNS', name) for name in map(_dnsname_to_stdlib, ext.get_values_for_type(x509.DNSName)) + if name is not None + ] + names.extend( + ('IP Address', str(name)) + for name in ext.get_values_for_type(x509.IPAddress) + ) + + return names + + +class WrappedSocket(object): + '''API-compatibility wrapper for Python OpenSSL's Connection-class. + + Note: _makefile_refs, _drop() and _reuse() are needed for the garbage + collector of pypy. + ''' + + def __init__(self, connection, socket, suppress_ragged_eofs=True): + self.connection = connection + self.socket = socket + self.suppress_ragged_eofs = suppress_ragged_eofs + self._makefile_refs = 0 + self._closed = False + + def fileno(self): + return self.socket.fileno() + + # Copy-pasted from Python 3.5 source code + def _decref_socketios(self): + if self._makefile_refs > 0: + self._makefile_refs -= 1 + if self._closed: + self.close() + + def recv(self, *args, **kwargs): + try: + data = self.connection.recv(*args, **kwargs) + except OpenSSL.SSL.SysCallError as e: + if self.suppress_ragged_eofs and e.args == (-1, 'Unexpected EOF'): + return b'' + else: + raise SocketError(str(e)) + except OpenSSL.SSL.ZeroReturnError: + if self.connection.get_shutdown() == OpenSSL.SSL.RECEIVED_SHUTDOWN: + return b'' + else: + raise + except OpenSSL.SSL.WantReadError: + if not util.wait_for_read(self.socket, self.socket.gettimeout()): + raise timeout('The read operation timed out') + else: + return self.recv(*args, **kwargs) + + # TLS 1.3 post-handshake authentication + except OpenSSL.SSL.Error as e: + raise ssl.SSLError("read error: %r" % e) + else: + return data + + def recv_into(self, *args, **kwargs): + try: + return self.connection.recv_into(*args, **kwargs) + except OpenSSL.SSL.SysCallError as e: + if self.suppress_ragged_eofs and e.args == (-1, 'Unexpected EOF'): + return 0 + else: + raise SocketError(str(e)) + except OpenSSL.SSL.ZeroReturnError: + if self.connection.get_shutdown() == OpenSSL.SSL.RECEIVED_SHUTDOWN: + return 0 + else: + raise + except OpenSSL.SSL.WantReadError: + if not util.wait_for_read(self.socket, self.socket.gettimeout()): + raise timeout('The read operation timed out') + else: + return self.recv_into(*args, **kwargs) + + # TLS 1.3 post-handshake authentication + except OpenSSL.SSL.Error as e: + raise ssl.SSLError("read error: %r" % e) + + def settimeout(self, timeout): + return self.socket.settimeout(timeout) + + def _send_until_done(self, data): + while True: + try: + return self.connection.send(data) + except OpenSSL.SSL.WantWriteError: + if not util.wait_for_write(self.socket, self.socket.gettimeout()): + raise timeout() + continue + except OpenSSL.SSL.SysCallError as e: + raise SocketError(str(e)) + + def sendall(self, data): + total_sent = 0 + while total_sent < len(data): + sent = self._send_until_done(data[total_sent:total_sent + SSL_WRITE_BLOCKSIZE]) + total_sent += sent + + def shutdown(self): + # FIXME rethrow compatible exceptions should we ever use this + self.connection.shutdown() + + def close(self): + if self._makefile_refs < 1: + try: + self._closed = True + return self.connection.close() + except OpenSSL.SSL.Error: + return + else: + self._makefile_refs -= 1 + + def getpeercert(self, binary_form=False): + x509 = self.connection.get_peer_certificate() + + if not x509: + return x509 + + if binary_form: + return OpenSSL.crypto.dump_certificate( + OpenSSL.crypto.FILETYPE_ASN1, + x509) + + return { + 'subject': ( + (('commonName', x509.get_subject().CN),), + ), + 'subjectAltName': get_subj_alt_name(x509) + } + + def version(self): + return self.connection.get_protocol_version_name() + + def _reuse(self): + self._makefile_refs += 1 + + def _drop(self): + if self._makefile_refs < 1: + self.close() + else: + self._makefile_refs -= 1 + + +if _fileobject: # Platform-specific: Python 2 + def makefile(self, mode, bufsize=-1): + self._makefile_refs += 1 + return _fileobject(self, mode, bufsize, close=True) +else: # Platform-specific: Python 3 + makefile = backport_makefile + +WrappedSocket.makefile = makefile + + +class PyOpenSSLContext(object): + """ + I am a wrapper class for the PyOpenSSL ``Context`` object. I am responsible + for translating the interface of the standard library ``SSLContext`` object + to calls into PyOpenSSL. + """ + def __init__(self, protocol): + self.protocol = _openssl_versions[protocol] + self._ctx = OpenSSL.SSL.Context(self.protocol) + self._options = 0 + self.check_hostname = False + + @property + def options(self): + return self._options + + @options.setter + def options(self, value): + self._options = value + self._ctx.set_options(value) + + @property + def verify_mode(self): + return _openssl_to_stdlib_verify[self._ctx.get_verify_mode()] + + @verify_mode.setter + def verify_mode(self, value): + self._ctx.set_verify( + _stdlib_to_openssl_verify[value], + _verify_callback + ) + + def set_default_verify_paths(self): + self._ctx.set_default_verify_paths() + + def set_ciphers(self, ciphers): + if isinstance(ciphers, six.text_type): + ciphers = ciphers.encode('utf-8') + self._ctx.set_cipher_list(ciphers) + + def load_verify_locations(self, cafile=None, capath=None, cadata=None): + if cafile is not None: + cafile = cafile.encode('utf-8') + if capath is not None: + capath = capath.encode('utf-8') + self._ctx.load_verify_locations(cafile, capath) + if cadata is not None: + self._ctx.load_verify_locations(BytesIO(cadata)) + + def load_cert_chain(self, certfile, keyfile=None, password=None): + self._ctx.use_certificate_chain_file(certfile) + if password is not None: + if not isinstance(password, six.binary_type): + password = password.encode('utf-8') + self._ctx.set_passwd_cb(lambda *_: password) + self._ctx.use_privatekey_file(keyfile or certfile) + + def wrap_socket(self, sock, server_side=False, + do_handshake_on_connect=True, suppress_ragged_eofs=True, + server_hostname=None): + cnx = OpenSSL.SSL.Connection(self._ctx, sock) + + if isinstance(server_hostname, six.text_type): # Platform-specific: Python 3 + server_hostname = server_hostname.encode('utf-8') + + if server_hostname is not None: + cnx.set_tlsext_host_name(server_hostname) + + cnx.set_connect_state() + + while True: + try: + cnx.do_handshake() + except OpenSSL.SSL.WantReadError: + if not util.wait_for_read(sock, sock.gettimeout()): + raise timeout('select timed out') + continue + except OpenSSL.SSL.Error as e: + raise ssl.SSLError('bad handshake: %r' % e) + break + + return WrappedSocket(cnx, sock) + + +def _verify_callback(cnx, x509, err_no, err_depth, return_code): + return err_no == 0 diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/securetransport.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/securetransport.py new file mode 100644 index 0000000000000000000000000000000000000000..4dc48484167ba5556c42e9dadc469d78320354dd --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/securetransport.py @@ -0,0 +1,853 @@ +""" +SecureTranport support for urllib3 via ctypes. + +This makes platform-native TLS available to urllib3 users on macOS without the +use of a compiler. This is an important feature because the Python Package +Index is moving to become a TLSv1.2-or-higher server, and the default OpenSSL +that ships with macOS is not capable of doing TLSv1.2. The only way to resolve +this is to give macOS users an alternative solution to the problem, and that +solution is to use SecureTransport. + +We use ctypes here because this solution must not require a compiler. That's +because pip is not allowed to require a compiler either. + +This is not intended to be a seriously long-term solution to this problem. +The hope is that PEP 543 will eventually solve this issue for us, at which +point we can retire this contrib module. But in the short term, we need to +solve the impending tire fire that is Python on Mac without this kind of +contrib module. So...here we are. + +To use this module, simply import and inject it:: + + import urllib3.contrib.securetransport + urllib3.contrib.securetransport.inject_into_urllib3() + +Happy TLSing! + +This code is a bastardised version of the code found in Will Bond's oscrypto +library. An enormous debt is owed to him for blazing this trail for us. For +that reason, this code should be considered to be covered both by urllib3's +license and by oscrypto's: + + Copyright (c) 2015-2016 Will Bond + + Permission is hereby granted, free of charge, to any person obtaining a + copy of this software and associated documentation files (the "Software"), + to deal in the Software without restriction, including without limitation + the rights to use, copy, modify, merge, publish, distribute, sublicense, + and/or sell copies of the Software, and to permit persons to whom the + Software is furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in + all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING + FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER + DEALINGS IN THE SOFTWARE. +""" +from __future__ import absolute_import + +import contextlib +import ctypes +import errno +import os.path +import shutil +import socket +import ssl +import threading +import weakref + +from .. import util +from ._securetransport.bindings import ( + Security, SecurityConst, CoreFoundation +) +from ._securetransport.low_level import ( + _assert_no_error, _cert_array_from_pem, _temporary_keychain, + _load_client_cert_chain +) + +try: # Platform-specific: Python 2 + from socket import _fileobject +except ImportError: # Platform-specific: Python 3 + _fileobject = None + from ..packages.backports.makefile import backport_makefile + +__all__ = ['inject_into_urllib3', 'extract_from_urllib3'] + +# SNI always works +HAS_SNI = True + +orig_util_HAS_SNI = util.HAS_SNI +orig_util_SSLContext = util.ssl_.SSLContext + +# This dictionary is used by the read callback to obtain a handle to the +# calling wrapped socket. This is a pretty silly approach, but for now it'll +# do. I feel like I should be able to smuggle a handle to the wrapped socket +# directly in the SSLConnectionRef, but for now this approach will work I +# guess. +# +# We need to lock around this structure for inserts, but we don't do it for +# reads/writes in the callbacks. The reasoning here goes as follows: +# +# 1. It is not possible to call into the callbacks before the dictionary is +# populated, so once in the callback the id must be in the dictionary. +# 2. The callbacks don't mutate the dictionary, they only read from it, and +# so cannot conflict with any of the insertions. +# +# This is good: if we had to lock in the callbacks we'd drastically slow down +# the performance of this code. +_connection_refs = weakref.WeakValueDictionary() +_connection_ref_lock = threading.Lock() + +# Limit writes to 16kB. This is OpenSSL's limit, but we'll cargo-cult it over +# for no better reason than we need *a* limit, and this one is right there. +SSL_WRITE_BLOCKSIZE = 16384 + +# This is our equivalent of util.ssl_.DEFAULT_CIPHERS, but expanded out to +# individual cipher suites. We need to do this because this is how +# SecureTransport wants them. +CIPHER_SUITES = [ + SecurityConst.TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384, + SecurityConst.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256, + SecurityConst.TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384, + SecurityConst.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256, + SecurityConst.TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256, + SecurityConst.TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305_SHA256, + SecurityConst.TLS_DHE_RSA_WITH_AES_256_GCM_SHA384, + SecurityConst.TLS_DHE_RSA_WITH_AES_128_GCM_SHA256, + SecurityConst.TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA384, + SecurityConst.TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA, + SecurityConst.TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA256, + SecurityConst.TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHA, + SecurityConst.TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA384, + SecurityConst.TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA, + SecurityConst.TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256, + SecurityConst.TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA, + SecurityConst.TLS_DHE_RSA_WITH_AES_256_CBC_SHA256, + SecurityConst.TLS_DHE_RSA_WITH_AES_256_CBC_SHA, + SecurityConst.TLS_DHE_RSA_WITH_AES_128_CBC_SHA256, + SecurityConst.TLS_DHE_RSA_WITH_AES_128_CBC_SHA, + SecurityConst.TLS_AES_256_GCM_SHA384, + SecurityConst.TLS_AES_128_GCM_SHA256, + SecurityConst.TLS_RSA_WITH_AES_256_GCM_SHA384, + SecurityConst.TLS_RSA_WITH_AES_128_GCM_SHA256, + SecurityConst.TLS_AES_128_CCM_8_SHA256, + SecurityConst.TLS_AES_128_CCM_SHA256, + SecurityConst.TLS_RSA_WITH_AES_256_CBC_SHA256, + SecurityConst.TLS_RSA_WITH_AES_128_CBC_SHA256, + SecurityConst.TLS_RSA_WITH_AES_256_CBC_SHA, + SecurityConst.TLS_RSA_WITH_AES_128_CBC_SHA, +] + +# Basically this is simple: for PROTOCOL_SSLv23 we turn it into a low of +# TLSv1 and a high of TLSv1.3. For everything else, we pin to that version. +# TLSv1 to 1.2 are supported on macOS 10.8+ and TLSv1.3 is macOS 10.13+ +_protocol_to_min_max = { + util.PROTOCOL_TLS: (SecurityConst.kTLSProtocol1, SecurityConst.kTLSProtocolMaxSupported), +} + +if hasattr(ssl, "PROTOCOL_SSLv2"): + _protocol_to_min_max[ssl.PROTOCOL_SSLv2] = ( + SecurityConst.kSSLProtocol2, SecurityConst.kSSLProtocol2 + ) +if hasattr(ssl, "PROTOCOL_SSLv3"): + _protocol_to_min_max[ssl.PROTOCOL_SSLv3] = ( + SecurityConst.kSSLProtocol3, SecurityConst.kSSLProtocol3 + ) +if hasattr(ssl, "PROTOCOL_TLSv1"): + _protocol_to_min_max[ssl.PROTOCOL_TLSv1] = ( + SecurityConst.kTLSProtocol1, SecurityConst.kTLSProtocol1 + ) +if hasattr(ssl, "PROTOCOL_TLSv1_1"): + _protocol_to_min_max[ssl.PROTOCOL_TLSv1_1] = ( + SecurityConst.kTLSProtocol11, SecurityConst.kTLSProtocol11 + ) +if hasattr(ssl, "PROTOCOL_TLSv1_2"): + _protocol_to_min_max[ssl.PROTOCOL_TLSv1_2] = ( + SecurityConst.kTLSProtocol12, SecurityConst.kTLSProtocol12 + ) + + +def inject_into_urllib3(): + """ + Monkey-patch urllib3 with SecureTransport-backed SSL-support. + """ + util.SSLContext = SecureTransportContext + util.ssl_.SSLContext = SecureTransportContext + util.HAS_SNI = HAS_SNI + util.ssl_.HAS_SNI = HAS_SNI + util.IS_SECURETRANSPORT = True + util.ssl_.IS_SECURETRANSPORT = True + + +def extract_from_urllib3(): + """ + Undo monkey-patching by :func:`inject_into_urllib3`. + """ + util.SSLContext = orig_util_SSLContext + util.ssl_.SSLContext = orig_util_SSLContext + util.HAS_SNI = orig_util_HAS_SNI + util.ssl_.HAS_SNI = orig_util_HAS_SNI + util.IS_SECURETRANSPORT = False + util.ssl_.IS_SECURETRANSPORT = False + + +def _read_callback(connection_id, data_buffer, data_length_pointer): + """ + SecureTransport read callback. This is called by ST to request that data + be returned from the socket. + """ + wrapped_socket = None + try: + wrapped_socket = _connection_refs.get(connection_id) + if wrapped_socket is None: + return SecurityConst.errSSLInternal + base_socket = wrapped_socket.socket + + requested_length = data_length_pointer[0] + + timeout = wrapped_socket.gettimeout() + error = None + read_count = 0 + + try: + while read_count < requested_length: + if timeout is None or timeout >= 0: + if not util.wait_for_read(base_socket, timeout): + raise socket.error(errno.EAGAIN, 'timed out') + + remaining = requested_length - read_count + buffer = (ctypes.c_char * remaining).from_address( + data_buffer + read_count + ) + chunk_size = base_socket.recv_into(buffer, remaining) + read_count += chunk_size + if not chunk_size: + if not read_count: + return SecurityConst.errSSLClosedGraceful + break + except (socket.error) as e: + error = e.errno + + if error is not None and error != errno.EAGAIN: + data_length_pointer[0] = read_count + if error == errno.ECONNRESET or error == errno.EPIPE: + return SecurityConst.errSSLClosedAbort + raise + + data_length_pointer[0] = read_count + + if read_count != requested_length: + return SecurityConst.errSSLWouldBlock + + return 0 + except Exception as e: + if wrapped_socket is not None: + wrapped_socket._exception = e + return SecurityConst.errSSLInternal + + +def _write_callback(connection_id, data_buffer, data_length_pointer): + """ + SecureTransport write callback. This is called by ST to request that data + actually be sent on the network. + """ + wrapped_socket = None + try: + wrapped_socket = _connection_refs.get(connection_id) + if wrapped_socket is None: + return SecurityConst.errSSLInternal + base_socket = wrapped_socket.socket + + bytes_to_write = data_length_pointer[0] + data = ctypes.string_at(data_buffer, bytes_to_write) + + timeout = wrapped_socket.gettimeout() + error = None + sent = 0 + + try: + while sent < bytes_to_write: + if timeout is None or timeout >= 0: + if not util.wait_for_write(base_socket, timeout): + raise socket.error(errno.EAGAIN, 'timed out') + chunk_sent = base_socket.send(data) + sent += chunk_sent + + # This has some needless copying here, but I'm not sure there's + # much value in optimising this data path. + data = data[chunk_sent:] + except (socket.error) as e: + error = e.errno + + if error is not None and error != errno.EAGAIN: + data_length_pointer[0] = sent + if error == errno.ECONNRESET or error == errno.EPIPE: + return SecurityConst.errSSLClosedAbort + raise + + data_length_pointer[0] = sent + + if sent != bytes_to_write: + return SecurityConst.errSSLWouldBlock + + return 0 + except Exception as e: + if wrapped_socket is not None: + wrapped_socket._exception = e + return SecurityConst.errSSLInternal + + +# We need to keep these two objects references alive: if they get GC'd while +# in use then SecureTransport could attempt to call a function that is in freed +# memory. That would be...uh...bad. Yeah, that's the word. Bad. +_read_callback_pointer = Security.SSLReadFunc(_read_callback) +_write_callback_pointer = Security.SSLWriteFunc(_write_callback) + + +class WrappedSocket(object): + """ + API-compatibility wrapper for Python's OpenSSL wrapped socket object. + + Note: _makefile_refs, _drop(), and _reuse() are needed for the garbage + collector of PyPy. + """ + def __init__(self, socket): + self.socket = socket + self.context = None + self._makefile_refs = 0 + self._closed = False + self._exception = None + self._keychain = None + self._keychain_dir = None + self._client_cert_chain = None + + # We save off the previously-configured timeout and then set it to + # zero. This is done because we use select and friends to handle the + # timeouts, but if we leave the timeout set on the lower socket then + # Python will "kindly" call select on that socket again for us. Avoid + # that by forcing the timeout to zero. + self._timeout = self.socket.gettimeout() + self.socket.settimeout(0) + + @contextlib.contextmanager + def _raise_on_error(self): + """ + A context manager that can be used to wrap calls that do I/O from + SecureTransport. If any of the I/O callbacks hit an exception, this + context manager will correctly propagate the exception after the fact. + This avoids silently swallowing those exceptions. + + It also correctly forces the socket closed. + """ + self._exception = None + + # We explicitly don't catch around this yield because in the unlikely + # event that an exception was hit in the block we don't want to swallow + # it. + yield + if self._exception is not None: + exception, self._exception = self._exception, None + self.close() + raise exception + + def _set_ciphers(self): + """ + Sets up the allowed ciphers. By default this matches the set in + util.ssl_.DEFAULT_CIPHERS, at least as supported by macOS. This is done + custom and doesn't allow changing at this time, mostly because parsing + OpenSSL cipher strings is going to be a freaking nightmare. + """ + ciphers = (Security.SSLCipherSuite * len(CIPHER_SUITES))(*CIPHER_SUITES) + result = Security.SSLSetEnabledCiphers( + self.context, ciphers, len(CIPHER_SUITES) + ) + _assert_no_error(result) + + def _custom_validate(self, verify, trust_bundle): + """ + Called when we have set custom validation. We do this in two cases: + first, when cert validation is entirely disabled; and second, when + using a custom trust DB. + """ + # If we disabled cert validation, just say: cool. + if not verify: + return + + # We want data in memory, so load it up. + if os.path.isfile(trust_bundle): + with open(trust_bundle, 'rb') as f: + trust_bundle = f.read() + + cert_array = None + trust = Security.SecTrustRef() + + try: + # Get a CFArray that contains the certs we want. + cert_array = _cert_array_from_pem(trust_bundle) + + # Ok, now the hard part. We want to get the SecTrustRef that ST has + # created for this connection, shove our CAs into it, tell ST to + # ignore everything else it knows, and then ask if it can build a + # chain. This is a buuuunch of code. + result = Security.SSLCopyPeerTrust( + self.context, ctypes.byref(trust) + ) + _assert_no_error(result) + if not trust: + raise ssl.SSLError("Failed to copy trust reference") + + result = Security.SecTrustSetAnchorCertificates(trust, cert_array) + _assert_no_error(result) + + result = Security.SecTrustSetAnchorCertificatesOnly(trust, True) + _assert_no_error(result) + + trust_result = Security.SecTrustResultType() + result = Security.SecTrustEvaluate( + trust, ctypes.byref(trust_result) + ) + _assert_no_error(result) + finally: + if trust: + CoreFoundation.CFRelease(trust) + + if cert_array is not None: + CoreFoundation.CFRelease(cert_array) + + # Ok, now we can look at what the result was. + successes = ( + SecurityConst.kSecTrustResultUnspecified, + SecurityConst.kSecTrustResultProceed + ) + if trust_result.value not in successes: + raise ssl.SSLError( + "certificate verify failed, error code: %d" % + trust_result.value + ) + + def handshake(self, + server_hostname, + verify, + trust_bundle, + min_version, + max_version, + client_cert, + client_key, + client_key_passphrase): + """ + Actually performs the TLS handshake. This is run automatically by + wrapped socket, and shouldn't be needed in user code. + """ + # First, we do the initial bits of connection setup. We need to create + # a context, set its I/O funcs, and set the connection reference. + self.context = Security.SSLCreateContext( + None, SecurityConst.kSSLClientSide, SecurityConst.kSSLStreamType + ) + result = Security.SSLSetIOFuncs( + self.context, _read_callback_pointer, _write_callback_pointer + ) + _assert_no_error(result) + + # Here we need to compute the handle to use. We do this by taking the + # id of self modulo 2**31 - 1. If this is already in the dictionary, we + # just keep incrementing by one until we find a free space. + with _connection_ref_lock: + handle = id(self) % 2147483647 + while handle in _connection_refs: + handle = (handle + 1) % 2147483647 + _connection_refs[handle] = self + + result = Security.SSLSetConnection(self.context, handle) + _assert_no_error(result) + + # If we have a server hostname, we should set that too. + if server_hostname: + if not isinstance(server_hostname, bytes): + server_hostname = server_hostname.encode('utf-8') + + result = Security.SSLSetPeerDomainName( + self.context, server_hostname, len(server_hostname) + ) + _assert_no_error(result) + + # Setup the ciphers. + self._set_ciphers() + + # Set the minimum and maximum TLS versions. + result = Security.SSLSetProtocolVersionMin(self.context, min_version) + _assert_no_error(result) + + # TLS 1.3 isn't necessarily enabled by the OS + # so we have to detect when we error out and try + # setting TLS 1.3 if it's allowed. kTLSProtocolMaxSupported + # was added in macOS 10.13 along with kTLSProtocol13. + result = Security.SSLSetProtocolVersionMax(self.context, max_version) + if result != 0 and max_version == SecurityConst.kTLSProtocolMaxSupported: + result = Security.SSLSetProtocolVersionMax(self.context, SecurityConst.kTLSProtocol12) + _assert_no_error(result) + + # If there's a trust DB, we need to use it. We do that by telling + # SecureTransport to break on server auth. We also do that if we don't + # want to validate the certs at all: we just won't actually do any + # authing in that case. + if not verify or trust_bundle is not None: + result = Security.SSLSetSessionOption( + self.context, + SecurityConst.kSSLSessionOptionBreakOnServerAuth, + True + ) + _assert_no_error(result) + + # If there's a client cert, we need to use it. + if client_cert: + self._keychain, self._keychain_dir = _temporary_keychain() + self._client_cert_chain = _load_client_cert_chain( + self._keychain, client_cert, client_key + ) + result = Security.SSLSetCertificate( + self.context, self._client_cert_chain + ) + _assert_no_error(result) + + while True: + with self._raise_on_error(): + result = Security.SSLHandshake(self.context) + + if result == SecurityConst.errSSLWouldBlock: + raise socket.timeout("handshake timed out") + elif result == SecurityConst.errSSLServerAuthCompleted: + self._custom_validate(verify, trust_bundle) + continue + else: + _assert_no_error(result) + break + + def fileno(self): + return self.socket.fileno() + + # Copy-pasted from Python 3.5 source code + def _decref_socketios(self): + if self._makefile_refs > 0: + self._makefile_refs -= 1 + if self._closed: + self.close() + + def recv(self, bufsiz): + buffer = ctypes.create_string_buffer(bufsiz) + bytes_read = self.recv_into(buffer, bufsiz) + data = buffer[:bytes_read] + return data + + def recv_into(self, buffer, nbytes=None): + # Read short on EOF. + if self._closed: + return 0 + + if nbytes is None: + nbytes = len(buffer) + + buffer = (ctypes.c_char * nbytes).from_buffer(buffer) + processed_bytes = ctypes.c_size_t(0) + + with self._raise_on_error(): + result = Security.SSLRead( + self.context, buffer, nbytes, ctypes.byref(processed_bytes) + ) + + # There are some result codes that we want to treat as "not always + # errors". Specifically, those are errSSLWouldBlock, + # errSSLClosedGraceful, and errSSLClosedNoNotify. + if (result == SecurityConst.errSSLWouldBlock): + # If we didn't process any bytes, then this was just a time out. + # However, we can get errSSLWouldBlock in situations when we *did* + # read some data, and in those cases we should just read "short" + # and return. + if processed_bytes.value == 0: + # Timed out, no data read. + raise socket.timeout("recv timed out") + elif result in (SecurityConst.errSSLClosedGraceful, SecurityConst.errSSLClosedNoNotify): + # The remote peer has closed this connection. We should do so as + # well. Note that we don't actually return here because in + # principle this could actually be fired along with return data. + # It's unlikely though. + self.close() + else: + _assert_no_error(result) + + # Ok, we read and probably succeeded. We should return whatever data + # was actually read. + return processed_bytes.value + + def settimeout(self, timeout): + self._timeout = timeout + + def gettimeout(self): + return self._timeout + + def send(self, data): + processed_bytes = ctypes.c_size_t(0) + + with self._raise_on_error(): + result = Security.SSLWrite( + self.context, data, len(data), ctypes.byref(processed_bytes) + ) + + if result == SecurityConst.errSSLWouldBlock and processed_bytes.value == 0: + # Timed out + raise socket.timeout("send timed out") + else: + _assert_no_error(result) + + # We sent, and probably succeeded. Tell them how much we sent. + return processed_bytes.value + + def sendall(self, data): + total_sent = 0 + while total_sent < len(data): + sent = self.send(data[total_sent:total_sent + SSL_WRITE_BLOCKSIZE]) + total_sent += sent + + def shutdown(self): + with self._raise_on_error(): + Security.SSLClose(self.context) + + def close(self): + # TODO: should I do clean shutdown here? Do I have to? + if self._makefile_refs < 1: + self._closed = True + if self.context: + CoreFoundation.CFRelease(self.context) + self.context = None + if self._client_cert_chain: + CoreFoundation.CFRelease(self._client_cert_chain) + self._client_cert_chain = None + if self._keychain: + Security.SecKeychainDelete(self._keychain) + CoreFoundation.CFRelease(self._keychain) + shutil.rmtree(self._keychain_dir) + self._keychain = self._keychain_dir = None + return self.socket.close() + else: + self._makefile_refs -= 1 + + def getpeercert(self, binary_form=False): + # Urgh, annoying. + # + # Here's how we do this: + # + # 1. Call SSLCopyPeerTrust to get hold of the trust object for this + # connection. + # 2. Call SecTrustGetCertificateAtIndex for index 0 to get the leaf. + # 3. To get the CN, call SecCertificateCopyCommonName and process that + # string so that it's of the appropriate type. + # 4. To get the SAN, we need to do something a bit more complex: + # a. Call SecCertificateCopyValues to get the data, requesting + # kSecOIDSubjectAltName. + # b. Mess about with this dictionary to try to get the SANs out. + # + # This is gross. Really gross. It's going to be a few hundred LoC extra + # just to repeat something that SecureTransport can *already do*. So my + # operating assumption at this time is that what we want to do is + # instead to just flag to urllib3 that it shouldn't do its own hostname + # validation when using SecureTransport. + if not binary_form: + raise ValueError( + "SecureTransport only supports dumping binary certs" + ) + trust = Security.SecTrustRef() + certdata = None + der_bytes = None + + try: + # Grab the trust store. + result = Security.SSLCopyPeerTrust( + self.context, ctypes.byref(trust) + ) + _assert_no_error(result) + if not trust: + # Probably we haven't done the handshake yet. No biggie. + return None + + cert_count = Security.SecTrustGetCertificateCount(trust) + if not cert_count: + # Also a case that might happen if we haven't handshaked. + # Handshook? Handshaken? + return None + + leaf = Security.SecTrustGetCertificateAtIndex(trust, 0) + assert leaf + + # Ok, now we want the DER bytes. + certdata = Security.SecCertificateCopyData(leaf) + assert certdata + + data_length = CoreFoundation.CFDataGetLength(certdata) + data_buffer = CoreFoundation.CFDataGetBytePtr(certdata) + der_bytes = ctypes.string_at(data_buffer, data_length) + finally: + if certdata: + CoreFoundation.CFRelease(certdata) + if trust: + CoreFoundation.CFRelease(trust) + + return der_bytes + + def version(self): + protocol = Security.SSLProtocol() + result = Security.SSLGetNegotiatedProtocolVersion(self.context, ctypes.byref(protocol)) + _assert_no_error(result) + if protocol.value == SecurityConst.kTLSProtocol13: + return 'TLSv1.3' + elif protocol.value == SecurityConst.kTLSProtocol12: + return 'TLSv1.2' + elif protocol.value == SecurityConst.kTLSProtocol11: + return 'TLSv1.1' + elif protocol.value == SecurityConst.kTLSProtocol1: + return 'TLSv1' + elif protocol.value == SecurityConst.kSSLProtocol3: + return 'SSLv3' + elif protocol.value == SecurityConst.kSSLProtocol2: + return 'SSLv2' + else: + raise ssl.SSLError('Unknown TLS version: %r' % protocol) + + def _reuse(self): + self._makefile_refs += 1 + + def _drop(self): + if self._makefile_refs < 1: + self.close() + else: + self._makefile_refs -= 1 + + +if _fileobject: # Platform-specific: Python 2 + def makefile(self, mode, bufsize=-1): + self._makefile_refs += 1 + return _fileobject(self, mode, bufsize, close=True) +else: # Platform-specific: Python 3 + def makefile(self, mode="r", buffering=None, *args, **kwargs): + # We disable buffering with SecureTransport because it conflicts with + # the buffering that ST does internally (see issue #1153 for more). + buffering = 0 + return backport_makefile(self, mode, buffering, *args, **kwargs) + +WrappedSocket.makefile = makefile + + +class SecureTransportContext(object): + """ + I am a wrapper class for the SecureTransport library, to translate the + interface of the standard library ``SSLContext`` object to calls into + SecureTransport. + """ + def __init__(self, protocol): + self._min_version, self._max_version = _protocol_to_min_max[protocol] + self._options = 0 + self._verify = False + self._trust_bundle = None + self._client_cert = None + self._client_key = None + self._client_key_passphrase = None + + @property + def check_hostname(self): + """ + SecureTransport cannot have its hostname checking disabled. For more, + see the comment on getpeercert() in this file. + """ + return True + + @check_hostname.setter + def check_hostname(self, value): + """ + SecureTransport cannot have its hostname checking disabled. For more, + see the comment on getpeercert() in this file. + """ + pass + + @property + def options(self): + # TODO: Well, crap. + # + # So this is the bit of the code that is the most likely to cause us + # trouble. Essentially we need to enumerate all of the SSL options that + # users might want to use and try to see if we can sensibly translate + # them, or whether we should just ignore them. + return self._options + + @options.setter + def options(self, value): + # TODO: Update in line with above. + self._options = value + + @property + def verify_mode(self): + return ssl.CERT_REQUIRED if self._verify else ssl.CERT_NONE + + @verify_mode.setter + def verify_mode(self, value): + self._verify = True if value == ssl.CERT_REQUIRED else False + + def set_default_verify_paths(self): + # So, this has to do something a bit weird. Specifically, what it does + # is nothing. + # + # This means that, if we had previously had load_verify_locations + # called, this does not undo that. We need to do that because it turns + # out that the rest of the urllib3 code will attempt to load the + # default verify paths if it hasn't been told about any paths, even if + # the context itself was sometime earlier. We resolve that by just + # ignoring it. + pass + + def load_default_certs(self): + return self.set_default_verify_paths() + + def set_ciphers(self, ciphers): + # For now, we just require the default cipher string. + if ciphers != util.ssl_.DEFAULT_CIPHERS: + raise ValueError( + "SecureTransport doesn't support custom cipher strings" + ) + + def load_verify_locations(self, cafile=None, capath=None, cadata=None): + # OK, we only really support cadata and cafile. + if capath is not None: + raise ValueError( + "SecureTransport does not support cert directories" + ) + + self._trust_bundle = cafile or cadata + + def load_cert_chain(self, certfile, keyfile=None, password=None): + self._client_cert = certfile + self._client_key = keyfile + self._client_cert_passphrase = password + + def wrap_socket(self, sock, server_side=False, + do_handshake_on_connect=True, suppress_ragged_eofs=True, + server_hostname=None): + # So, what do we do here? Firstly, we assert some properties. This is a + # stripped down shim, so there is some functionality we don't support. + # See PEP 543 for the real deal. + assert not server_side + assert do_handshake_on_connect + assert suppress_ragged_eofs + + # Ok, we're good to go. Now we want to create the wrapped socket object + # and store it in the appropriate place. + wrapped_socket = WrappedSocket(sock) + + # Now we can handshake + wrapped_socket.handshake( + server_hostname, self._verify, self._trust_bundle, + self._min_version, self._max_version, self._client_cert, + self._client_key, self._client_key_passphrase + ) + return wrapped_socket diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/socks.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/socks.py new file mode 100644 index 0000000000000000000000000000000000000000..636d261fb0355e6b808da32f4676b9be2ebfb57a --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/contrib/socks.py @@ -0,0 +1,205 @@ +# -*- coding: utf-8 -*- +""" +This module contains provisional support for SOCKS proxies from within +urllib3. This module supports SOCKS4, SOCKS4A (an extension of SOCKS4), and +SOCKS5. To enable its functionality, either install PySocks or install this +module with the ``socks`` extra. + +The SOCKS implementation supports the full range of urllib3 features. It also +supports the following SOCKS features: + +- SOCKS4A (``proxy_url='socks4a://...``) +- SOCKS4 (``proxy_url='socks4://...``) +- SOCKS5 with remote DNS (``proxy_url='socks5h://...``) +- SOCKS5 with local DNS (``proxy_url='socks5://...``) +- Usernames and passwords for the SOCKS proxy + + .. note:: + It is recommended to use ``socks5h://`` or ``socks4a://`` schemes in + your ``proxy_url`` to ensure that DNS resolution is done from the remote + server instead of client-side when connecting to a domain name. + +SOCKS4 supports IPv4 and domain names with the SOCKS4A extension. SOCKS5 +supports IPv4, IPv6, and domain names. + +When connecting to a SOCKS4 proxy the ``username`` portion of the ``proxy_url`` +will be sent as the ``userid`` section of the SOCKS request:: + + proxy_url="socks4a://@proxy-host" + +When connecting to a SOCKS5 proxy the ``username`` and ``password`` portion +of the ``proxy_url`` will be sent as the username/password to authenticate +with the proxy:: + + proxy_url="socks5h://:@proxy-host" + +""" +from __future__ import absolute_import + +try: + import socks +except ImportError: + import warnings + from ..exceptions import DependencyWarning + + warnings.warn(( + 'SOCKS support in urllib3 requires the installation of optional ' + 'dependencies: specifically, PySocks. For more information, see ' + 'https://urllib3.readthedocs.io/en/latest/contrib.html#socks-proxies' + ), + DependencyWarning + ) + raise + +from socket import error as SocketError, timeout as SocketTimeout + +from ..connection import ( + HTTPConnection, HTTPSConnection +) +from ..connectionpool import ( + HTTPConnectionPool, HTTPSConnectionPool +) +from ..exceptions import ConnectTimeoutError, NewConnectionError +from ..poolmanager import PoolManager +from ..util.url import parse_url + +try: + import ssl +except ImportError: + ssl = None + + +class SOCKSConnection(HTTPConnection): + """ + A plain-text HTTP connection that connects via a SOCKS proxy. + """ + def __init__(self, *args, **kwargs): + self._socks_options = kwargs.pop('_socks_options') + super(SOCKSConnection, self).__init__(*args, **kwargs) + + def _new_conn(self): + """ + Establish a new connection via the SOCKS proxy. + """ + extra_kw = {} + if self.source_address: + extra_kw['source_address'] = self.source_address + + if self.socket_options: + extra_kw['socket_options'] = self.socket_options + + try: + conn = socks.create_connection( + (self.host, self.port), + proxy_type=self._socks_options['socks_version'], + proxy_addr=self._socks_options['proxy_host'], + proxy_port=self._socks_options['proxy_port'], + proxy_username=self._socks_options['username'], + proxy_password=self._socks_options['password'], + proxy_rdns=self._socks_options['rdns'], + timeout=self.timeout, + **extra_kw + ) + + except SocketTimeout: + raise ConnectTimeoutError( + self, "Connection to %s timed out. (connect timeout=%s)" % + (self.host, self.timeout)) + + except socks.ProxyError as e: + # This is fragile as hell, but it seems to be the only way to raise + # useful errors here. + if e.socket_err: + error = e.socket_err + if isinstance(error, SocketTimeout): + raise ConnectTimeoutError( + self, + "Connection to %s timed out. (connect timeout=%s)" % + (self.host, self.timeout) + ) + else: + raise NewConnectionError( + self, + "Failed to establish a new connection: %s" % error + ) + else: + raise NewConnectionError( + self, + "Failed to establish a new connection: %s" % e + ) + + except SocketError as e: # Defensive: PySocks should catch all these. + raise NewConnectionError( + self, "Failed to establish a new connection: %s" % e) + + return conn + + +# We don't need to duplicate the Verified/Unverified distinction from +# urllib3/connection.py here because the HTTPSConnection will already have been +# correctly set to either the Verified or Unverified form by that module. This +# means the SOCKSHTTPSConnection will automatically be the correct type. +class SOCKSHTTPSConnection(SOCKSConnection, HTTPSConnection): + pass + + +class SOCKSHTTPConnectionPool(HTTPConnectionPool): + ConnectionCls = SOCKSConnection + + +class SOCKSHTTPSConnectionPool(HTTPSConnectionPool): + ConnectionCls = SOCKSHTTPSConnection + + +class SOCKSProxyManager(PoolManager): + """ + A version of the urllib3 ProxyManager that routes connections via the + defined SOCKS proxy. + """ + pool_classes_by_scheme = { + 'http': SOCKSHTTPConnectionPool, + 'https': SOCKSHTTPSConnectionPool, + } + + def __init__(self, proxy_url, username=None, password=None, + num_pools=10, headers=None, **connection_pool_kw): + parsed = parse_url(proxy_url) + + if username is None and password is None and parsed.auth is not None: + split = parsed.auth.split(':') + if len(split) == 2: + username, password = split + if parsed.scheme == 'socks5': + socks_version = socks.PROXY_TYPE_SOCKS5 + rdns = False + elif parsed.scheme == 'socks5h': + socks_version = socks.PROXY_TYPE_SOCKS5 + rdns = True + elif parsed.scheme == 'socks4': + socks_version = socks.PROXY_TYPE_SOCKS4 + rdns = False + elif parsed.scheme == 'socks4a': + socks_version = socks.PROXY_TYPE_SOCKS4 + rdns = True + else: + raise ValueError( + "Unable to determine SOCKS version from %s" % proxy_url + ) + + self.proxy_url = proxy_url + + socks_options = { + 'socks_version': socks_version, + 'proxy_host': parsed.host, + 'proxy_port': parsed.port, + 'username': username, + 'password': password, + 'rdns': rdns + } + connection_pool_kw['_socks_options'] = socks_options + + super(SOCKSProxyManager, self).__init__( + num_pools, headers, **connection_pool_kw + ) + + self.pool_classes_by_scheme = SOCKSProxyManager.pool_classes_by_scheme diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/exceptions.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..7bbaa9871f5718ea1b70d0a31ba40bc4409f630b --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/exceptions.py @@ -0,0 +1,246 @@ +from __future__ import absolute_import +from .packages.six.moves.http_client import ( + IncompleteRead as httplib_IncompleteRead +) +# Base Exceptions + + +class HTTPError(Exception): + "Base exception used by this module." + pass + + +class HTTPWarning(Warning): + "Base warning used by this module." + pass + + +class PoolError(HTTPError): + "Base exception for errors caused within a pool." + def __init__(self, pool, message): + self.pool = pool + HTTPError.__init__(self, "%s: %s" % (pool, message)) + + def __reduce__(self): + # For pickling purposes. + return self.__class__, (None, None) + + +class RequestError(PoolError): + "Base exception for PoolErrors that have associated URLs." + def __init__(self, pool, url, message): + self.url = url + PoolError.__init__(self, pool, message) + + def __reduce__(self): + # For pickling purposes. + return self.__class__, (None, self.url, None) + + +class SSLError(HTTPError): + "Raised when SSL certificate fails in an HTTPS connection." + pass + + +class ProxyError(HTTPError): + "Raised when the connection to a proxy fails." + pass + + +class DecodeError(HTTPError): + "Raised when automatic decoding based on Content-Type fails." + pass + + +class ProtocolError(HTTPError): + "Raised when something unexpected happens mid-request/response." + pass + + +#: Renamed to ProtocolError but aliased for backwards compatibility. +ConnectionError = ProtocolError + + +# Leaf Exceptions + +class MaxRetryError(RequestError): + """Raised when the maximum number of retries is exceeded. + + :param pool: The connection pool + :type pool: :class:`~urllib3.connectionpool.HTTPConnectionPool` + :param string url: The requested Url + :param exceptions.Exception reason: The underlying error + + """ + + def __init__(self, pool, url, reason=None): + self.reason = reason + + message = "Max retries exceeded with url: %s (Caused by %r)" % ( + url, reason) + + RequestError.__init__(self, pool, url, message) + + +class HostChangedError(RequestError): + "Raised when an existing pool gets a request for a foreign host." + + def __init__(self, pool, url, retries=3): + message = "Tried to open a foreign host with url: %s" % url + RequestError.__init__(self, pool, url, message) + self.retries = retries + + +class TimeoutStateError(HTTPError): + """ Raised when passing an invalid state to a timeout """ + pass + + +class TimeoutError(HTTPError): + """ Raised when a socket timeout error occurs. + + Catching this error will catch both :exc:`ReadTimeoutErrors + ` and :exc:`ConnectTimeoutErrors `. + """ + pass + + +class ReadTimeoutError(TimeoutError, RequestError): + "Raised when a socket timeout occurs while receiving data from a server" + pass + + +# This timeout error does not have a URL attached and needs to inherit from the +# base HTTPError +class ConnectTimeoutError(TimeoutError): + "Raised when a socket timeout occurs while connecting to a server" + pass + + +class NewConnectionError(ConnectTimeoutError, PoolError): + "Raised when we fail to establish a new connection. Usually ECONNREFUSED." + pass + + +class EmptyPoolError(PoolError): + "Raised when a pool runs out of connections and no more are allowed." + pass + + +class ClosedPoolError(PoolError): + "Raised when a request enters a pool after the pool has been closed." + pass + + +class LocationValueError(ValueError, HTTPError): + "Raised when there is something wrong with a given URL input." + pass + + +class LocationParseError(LocationValueError): + "Raised when get_host or similar fails to parse the URL input." + + def __init__(self, location): + message = "Failed to parse: %s" % location + HTTPError.__init__(self, message) + + self.location = location + + +class ResponseError(HTTPError): + "Used as a container for an error reason supplied in a MaxRetryError." + GENERIC_ERROR = 'too many error responses' + SPECIFIC_ERROR = 'too many {status_code} error responses' + + +class SecurityWarning(HTTPWarning): + "Warned when performing security reducing actions" + pass + + +class SubjectAltNameWarning(SecurityWarning): + "Warned when connecting to a host with a certificate missing a SAN." + pass + + +class InsecureRequestWarning(SecurityWarning): + "Warned when making an unverified HTTPS request." + pass + + +class SystemTimeWarning(SecurityWarning): + "Warned when system time is suspected to be wrong" + pass + + +class InsecurePlatformWarning(SecurityWarning): + "Warned when certain SSL configuration is not available on a platform." + pass + + +class SNIMissingWarning(HTTPWarning): + "Warned when making a HTTPS request without SNI available." + pass + + +class DependencyWarning(HTTPWarning): + """ + Warned when an attempt is made to import a module with missing optional + dependencies. + """ + pass + + +class ResponseNotChunked(ProtocolError, ValueError): + "Response needs to be chunked in order to read it as chunks." + pass + + +class BodyNotHttplibCompatible(HTTPError): + """ + Body should be httplib.HTTPResponse like (have an fp attribute which + returns raw chunks) for read_chunked(). + """ + pass + + +class IncompleteRead(HTTPError, httplib_IncompleteRead): + """ + Response length doesn't match expected Content-Length + + Subclass of http_client.IncompleteRead to allow int value + for `partial` to avoid creating large objects on streamed + reads. + """ + def __init__(self, partial, expected): + super(IncompleteRead, self).__init__(partial, expected) + + def __repr__(self): + return ('IncompleteRead(%i bytes read, ' + '%i more expected)' % (self.partial, self.expected)) + + +class InvalidHeader(HTTPError): + "The header provided was somehow invalid." + pass + + +class ProxySchemeUnknown(AssertionError, ValueError): + "ProxyManager does not support the supplied scheme" + # TODO(t-8ch): Stop inheriting from AssertionError in v2.0. + + def __init__(self, scheme): + message = "Not supported proxy scheme %s" % scheme + super(ProxySchemeUnknown, self).__init__(message) + + +class HeaderParsingError(HTTPError): + "Raised by assert_header_parsing, but we convert it to a log.warning statement." + def __init__(self, defects, unparsed_data): + message = '%s, unparsed data: %r' % (defects or 'Unknown', unparsed_data) + super(HeaderParsingError, self).__init__(message) + + +class UnrewindableBodyError(HTTPError): + "urllib3 encountered an error when trying to rewind a body" + pass diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/__init__.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..170e974c15746c3aa6e960d3c7a53981459a528d --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/__init__.py @@ -0,0 +1,5 @@ +from __future__ import absolute_import + +from . import ssl_match_hostname + +__all__ = ('ssl_match_hostname', ) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/api.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/api.py new file mode 100644 index 0000000000000000000000000000000000000000..ddc4a1cd283fe019c2e5c75e84a7ce451e1f104d --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/api.py @@ -0,0 +1,106 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2014 Rackspace +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or +# implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Module containing the simple and functional API for rfc3986. + +This module defines functions and provides access to the public attributes +and classes of rfc3986. +""" + +from .iri import IRIReference +from .parseresult import ParseResult +from .uri import URIReference + + +def uri_reference(uri, encoding='utf-8'): + """Parse a URI string into a URIReference. + + This is a convenience function. You could achieve the same end by using + ``URIReference.from_string(uri)``. + + :param str uri: The URI which needs to be parsed into a reference. + :param str encoding: The encoding of the string provided + :returns: A parsed URI + :rtype: :class:`URIReference` + """ + return URIReference.from_string(uri, encoding) + + +def iri_reference(iri, encoding='utf-8'): + """Parse a IRI string into an IRIReference. + + This is a convenience function. You could achieve the same end by using + ``IRIReference.from_string(iri)``. + + :param str iri: The IRI which needs to be parsed into a reference. + :param str encoding: The encoding of the string provided + :returns: A parsed IRI + :rtype: :class:`IRIReference` + """ + return IRIReference.from_string(iri, encoding) + + +def is_valid_uri(uri, encoding='utf-8', **kwargs): + """Determine if the URI given is valid. + + This is a convenience function. You could use either + ``uri_reference(uri).is_valid()`` or + ``URIReference.from_string(uri).is_valid()`` to achieve the same result. + + :param str uri: The URI to be validated. + :param str encoding: The encoding of the string provided + :param bool require_scheme: Set to ``True`` if you wish to require the + presence of the scheme component. + :param bool require_authority: Set to ``True`` if you wish to require the + presence of the authority component. + :param bool require_path: Set to ``True`` if you wish to require the + presence of the path component. + :param bool require_query: Set to ``True`` if you wish to require the + presence of the query component. + :param bool require_fragment: Set to ``True`` if you wish to require the + presence of the fragment component. + :returns: ``True`` if the URI is valid, ``False`` otherwise. + :rtype: bool + """ + return URIReference.from_string(uri, encoding).is_valid(**kwargs) + + +def normalize_uri(uri, encoding='utf-8'): + """Normalize the given URI. + + This is a convenience function. You could use either + ``uri_reference(uri).normalize().unsplit()`` or + ``URIReference.from_string(uri).normalize().unsplit()`` instead. + + :param str uri: The URI to be normalized. + :param str encoding: The encoding of the string provided + :returns: The normalized URI. + :rtype: str + """ + normalized_reference = URIReference.from_string(uri, encoding).normalize() + return normalized_reference.unsplit() + + +def urlparse(uri, encoding='utf-8'): + """Parse a given URI and return a ParseResult. + + This is a partial replacement of the standard library's urlparse function. + + :param str uri: The URI to be parsed. + :param str encoding: The encoding of the string provided. + :returns: A parsed URI + :rtype: :class:`~rfc3986.parseresult.ParseResult` + """ + return ParseResult.from_string(uri, encoding, strict=False) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/compat.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/compat.py new file mode 100644 index 0000000000000000000000000000000000000000..8968c3843732361f61101be1f7d71020047c44c8 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/compat.py @@ -0,0 +1,54 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2014 Rackspace +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or +# implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Compatibility module for Python 2 and 3 support.""" +import sys + +try: + from urllib.parse import quote as urlquote +except ImportError: # Python 2.x + from urllib import quote as urlquote + +try: + from urllib.parse import urlencode +except ImportError: # Python 2.x + from urllib import urlencode + +__all__ = ( + 'to_bytes', + 'to_str', + 'urlquote', + 'urlencode', +) + +PY3 = (3, 0) <= sys.version_info < (4, 0) +PY2 = (2, 6) <= sys.version_info < (2, 8) + + +if PY3: + unicode = str # Python 3.x + + +def to_str(b, encoding='utf-8'): + """Ensure that b is text in the specified encoding.""" + if hasattr(b, 'decode') and not isinstance(b, unicode): + b = b.decode(encoding) + return b + + +def to_bytes(s, encoding='utf-8'): + """Ensure that s is converted to bytes from the encoding.""" + if hasattr(s, 'encode') and not isinstance(s, bytes): + s = s.encode(encoding) + return s diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/exceptions.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..da8ca7cb1f395515fab2ffc3ab28250553d4e361 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/exceptions.py @@ -0,0 +1,118 @@ +# -*- coding: utf-8 -*- +"""Exceptions module for rfc3986.""" + +from . import compat + + +class RFC3986Exception(Exception): + """Base class for all rfc3986 exception classes.""" + + pass + + +class InvalidAuthority(RFC3986Exception): + """Exception when the authority string is invalid.""" + + def __init__(self, authority): + """Initialize the exception with the invalid authority.""" + super(InvalidAuthority, self).__init__( + u"The authority ({0}) is not valid.".format( + compat.to_str(authority))) + + +class InvalidPort(RFC3986Exception): + """Exception when the port is invalid.""" + + def __init__(self, port): + """Initialize the exception with the invalid port.""" + super(InvalidPort, self).__init__( + 'The port ("{0}") is not valid.'.format(port)) + + +class ResolutionError(RFC3986Exception): + """Exception to indicate a failure to resolve a URI.""" + + def __init__(self, uri): + """Initialize the error with the failed URI.""" + super(ResolutionError, self).__init__( + "{0} is not an absolute URI.".format(uri.unsplit())) + + +class ValidationError(RFC3986Exception): + """Exception raised during Validation of a URI.""" + + pass + + +class MissingComponentError(ValidationError): + """Exception raised when a required component is missing.""" + + def __init__(self, uri, *component_names): + """Initialize the error with the missing component name.""" + verb = 'was' + if len(component_names) > 1: + verb = 'were' + + self.uri = uri + self.components = sorted(component_names) + components = ', '.join(self.components) + super(MissingComponentError, self).__init__( + "{} {} required but missing".format(components, verb), + uri, + self.components, + ) + + +class UnpermittedComponentError(ValidationError): + """Exception raised when a component has an unpermitted value.""" + + def __init__(self, component_name, component_value, allowed_values): + """Initialize the error with the unpermitted component.""" + super(UnpermittedComponentError, self).__init__( + "{} was required to be one of {!r} but was {!r}".format( + component_name, list(sorted(allowed_values)), component_value, + ), + component_name, + component_value, + allowed_values, + ) + self.component_name = component_name + self.component_value = component_value + self.allowed_values = allowed_values + + +class PasswordForbidden(ValidationError): + """Exception raised when a URL has a password in the userinfo section.""" + + def __init__(self, uri): + """Initialize the error with the URI that failed validation.""" + unsplit = getattr(uri, 'unsplit', lambda: uri) + super(PasswordForbidden, self).__init__( + '"{}" contained a password when validation forbade it'.format( + unsplit() + ) + ) + self.uri = uri + + +class InvalidComponentsError(ValidationError): + """Exception raised when one or more components are invalid.""" + + def __init__(self, uri, *component_names): + """Initialize the error with the invalid component name(s).""" + verb = 'was' + if len(component_names) > 1: + verb = 'were' + + self.uri = uri + self.components = sorted(component_names) + components = ', '.join(self.components) + super(InvalidComponentsError, self).__init__( + "{} {} found to be invalid".format(components, verb), + uri, + self.components, + ) + + +class MissingDependencyError(RFC3986Exception): + """Exception raised when an IRI is encoded without the 'idna' module.""" diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/iri.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/iri.py new file mode 100644 index 0000000000000000000000000000000000000000..416cae4a715bf7fcde31348ffa08072b67c8e056 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/iri.py @@ -0,0 +1,147 @@ +"""Module containing the implementation of the IRIReference class.""" +# -*- coding: utf-8 -*- +# Copyright (c) 2014 Rackspace +# Copyright (c) 2015 Ian Stapleton Cordasco +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or +# implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from collections import namedtuple + +from . import compat +from . import exceptions +from . import misc +from . import normalizers +from . import uri + + +try: + from pip._vendor import idna +except ImportError: # pragma: no cover + idna = None + + +class IRIReference(namedtuple('IRIReference', misc.URI_COMPONENTS), + uri.URIMixin): + """Immutable object representing a parsed IRI Reference. + + Can be encoded into an URIReference object via the procedure + specified in RFC 3987 Section 3.1 + + .. note:: + The IRI submodule is a new interface and may possibly change in + the future. Check for changes to the interface when upgrading. + """ + + slots = () + + def __new__(cls, scheme, authority, path, query, fragment, + encoding='utf-8'): + """Create a new IRIReference.""" + ref = super(IRIReference, cls).__new__( + cls, + scheme or None, + authority or None, + path or None, + query, + fragment) + ref.encoding = encoding + return ref + + def __eq__(self, other): + """Compare this reference to another.""" + other_ref = other + if isinstance(other, tuple): + other_ref = self.__class__(*other) + elif not isinstance(other, IRIReference): + try: + other_ref = self.__class__.from_string(other) + except TypeError: + raise TypeError( + 'Unable to compare {0}() to {1}()'.format( + type(self).__name__, type(other).__name__)) + + # See http://tools.ietf.org/html/rfc3986#section-6.2 + return tuple(self) == tuple(other_ref) + + def _match_subauthority(self): + return misc.ISUBAUTHORITY_MATCHER.match(self.authority) + + @classmethod + def from_string(cls, iri_string, encoding='utf-8'): + """Parse a IRI reference from the given unicode IRI string. + + :param str iri_string: Unicode IRI to be parsed into a reference. + :param str encoding: The encoding of the string provided + :returns: :class:`IRIReference` or subclass thereof + """ + iri_string = compat.to_str(iri_string, encoding) + + split_iri = misc.IRI_MATCHER.match(iri_string).groupdict() + return cls( + split_iri['scheme'], split_iri['authority'], + normalizers.encode_component(split_iri['path'], encoding), + normalizers.encode_component(split_iri['query'], encoding), + normalizers.encode_component(split_iri['fragment'], encoding), + encoding, + ) + + def encode(self, idna_encoder=None): # noqa: C901 + """Encode an IRIReference into a URIReference instance. + + If the ``idna`` module is installed or the ``rfc3986[idna]`` + extra is used then unicode characters in the IRI host + component will be encoded with IDNA2008. + + :param idna_encoder: + Function that encodes each part of the host component + If not given will raise an exception if the IRI + contains a host component. + :rtype: uri.URIReference + :returns: A URI reference + """ + authority = self.authority + if authority: + if idna_encoder is None: + if idna is None: # pragma: no cover + raise exceptions.MissingDependencyError( + "Could not import the 'idna' module " + "and the IRI hostname requires encoding" + ) + + def idna_encoder(name): + if any(ord(c) > 128 for c in name): + try: + return idna.encode(name.lower(), + strict=True, + std3_rules=True) + except idna.IDNAError: + raise exceptions.InvalidAuthority(self.authority) + return name + + authority = "" + if self.host: + authority = ".".join([compat.to_str(idna_encoder(part)) + for part in self.host.split(".")]) + + if self.userinfo is not None: + authority = (normalizers.encode_component( + self.userinfo, self.encoding) + '@' + authority) + + if self.port is not None: + authority += ":" + str(self.port) + + return uri.URIReference(self.scheme, + authority, + path=self.path, + query=self.query, + fragment=self.fragment, + encoding=self.encoding) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/misc.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/misc.py new file mode 100644 index 0000000000000000000000000000000000000000..b735e04402cbf303eea85887635bd458062b0d7b --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/misc.py @@ -0,0 +1,124 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2014 Rackspace +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or +# implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Module containing compiled regular expressions and constants. + +This module contains important constants, patterns, and compiled regular +expressions for parsing and validating URIs and their components. +""" + +import re + +from . import abnf_regexp + +# These are enumerated for the named tuple used as a superclass of +# URIReference +URI_COMPONENTS = ['scheme', 'authority', 'path', 'query', 'fragment'] + +important_characters = { + 'generic_delimiters': abnf_regexp.GENERIC_DELIMITERS, + 'sub_delimiters': abnf_regexp.SUB_DELIMITERS, + # We need to escape the '*' in this case + 're_sub_delimiters': abnf_regexp.SUB_DELIMITERS_RE, + 'unreserved_chars': abnf_regexp.UNRESERVED_CHARS, + # We need to escape the '-' in this case: + 're_unreserved': abnf_regexp.UNRESERVED_RE, +} + +# For details about delimiters and reserved characters, see: +# http://tools.ietf.org/html/rfc3986#section-2.2 +GENERIC_DELIMITERS = abnf_regexp.GENERIC_DELIMITERS_SET +SUB_DELIMITERS = abnf_regexp.SUB_DELIMITERS_SET +RESERVED_CHARS = abnf_regexp.RESERVED_CHARS_SET +# For details about unreserved characters, see: +# http://tools.ietf.org/html/rfc3986#section-2.3 +UNRESERVED_CHARS = abnf_regexp.UNRESERVED_CHARS_SET +NON_PCT_ENCODED = abnf_regexp.NON_PCT_ENCODED_SET + +URI_MATCHER = re.compile(abnf_regexp.URL_PARSING_RE) + +SUBAUTHORITY_MATCHER = re.compile(( + '^(?:(?P{0})@)?' # userinfo + '(?P{1})' # host + ':?(?P{2})?$' # port + ).format(abnf_regexp.USERINFO_RE, + abnf_regexp.HOST_PATTERN, + abnf_regexp.PORT_RE)) + + +HOST_MATCHER = re.compile('^' + abnf_regexp.HOST_RE + '$') +IPv4_MATCHER = re.compile('^' + abnf_regexp.IPv4_RE + '$') +IPv6_MATCHER = re.compile(r'^\[' + abnf_regexp.IPv6_ADDRZ_RFC4007_RE + r'\]$') + +# Used by host validator +IPv6_NO_RFC4007_MATCHER = re.compile(r'^\[%s\]$' % ( + abnf_regexp.IPv6_ADDRZ_RE +)) + +# Matcher used to validate path components +PATH_MATCHER = re.compile(abnf_regexp.PATH_RE) + + +# ################################## +# Query and Fragment Matcher Section +# ################################## + +QUERY_MATCHER = re.compile(abnf_regexp.QUERY_RE) + +FRAGMENT_MATCHER = QUERY_MATCHER + +# Scheme validation, see: http://tools.ietf.org/html/rfc3986#section-3.1 +SCHEME_MATCHER = re.compile('^{0}$'.format(abnf_regexp.SCHEME_RE)) + +RELATIVE_REF_MATCHER = re.compile(r'^%s(\?%s)?(#%s)?$' % ( + abnf_regexp.RELATIVE_PART_RE, + abnf_regexp.QUERY_RE, + abnf_regexp.FRAGMENT_RE, +)) + +# See http://tools.ietf.org/html/rfc3986#section-4.3 +ABSOLUTE_URI_MATCHER = re.compile(r'^%s:%s(\?%s)?$' % ( + abnf_regexp.COMPONENT_PATTERN_DICT['scheme'], + abnf_regexp.HIER_PART_RE, + abnf_regexp.QUERY_RE[1:-1], +)) + +# ############### +# IRIs / RFC 3987 +# ############### + +IRI_MATCHER = re.compile(abnf_regexp.URL_PARSING_RE, re.UNICODE) + +ISUBAUTHORITY_MATCHER = re.compile(( + u'^(?:(?P{0})@)?' # iuserinfo + u'(?P{1})' # ihost + u':?(?P{2})?$' # port + ).format(abnf_regexp.IUSERINFO_RE, + abnf_regexp.IHOST_RE, + abnf_regexp.PORT_RE), re.UNICODE) + + +# Path merger as defined in http://tools.ietf.org/html/rfc3986#section-5.2.3 +def merge_paths(base_uri, relative_path): + """Merge a base URI's path with a relative URI's path.""" + if base_uri.path is None and base_uri.authority is not None: + return '/' + relative_path + else: + path = base_uri.path or '' + index = path.rfind('/') + return path[:index] + '/' + relative_path + + +UseExisting = object() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/normalizers.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/normalizers.py new file mode 100644 index 0000000000000000000000000000000000000000..2eb1bb36f744527fb7763eda552b9e773df8a47f --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/normalizers.py @@ -0,0 +1,167 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2014 Rackspace +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or +# implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Module with functions to normalize components.""" +import re + +from . import compat +from . import misc + + +def normalize_scheme(scheme): + """Normalize the scheme component.""" + return scheme.lower() + + +def normalize_authority(authority): + """Normalize an authority tuple to a string.""" + userinfo, host, port = authority + result = '' + if userinfo: + result += normalize_percent_characters(userinfo) + '@' + if host: + result += normalize_host(host) + if port: + result += ':' + port + return result + + +def normalize_username(username): + """Normalize a username to make it safe to include in userinfo.""" + return compat.urlquote(username) + + +def normalize_password(password): + """Normalize a password to make safe for userinfo.""" + return compat.urlquote(password) + + +def normalize_host(host): + """Normalize a host string.""" + if misc.IPv6_MATCHER.match(host): + percent = host.find('%') + if percent != -1: + percent_25 = host.find('%25') + + # Replace RFC 4007 IPv6 Zone ID delimiter '%' with '%25' + # from RFC 6874. If the host is '[%25]' then we + # assume RFC 4007 and normalize to '[%2525]' + if percent_25 == -1 or percent < percent_25 or \ + (percent == percent_25 and percent_25 == len(host) - 4): + host = host.replace('%', '%25', 1) + + # Don't normalize the casing of the Zone ID + return host[:percent].lower() + host[percent:] + + return host.lower() + + +def normalize_path(path): + """Normalize the path string.""" + if not path: + return path + + path = normalize_percent_characters(path) + return remove_dot_segments(path) + + +def normalize_query(query): + """Normalize the query string.""" + if not query: + return query + return normalize_percent_characters(query) + + +def normalize_fragment(fragment): + """Normalize the fragment string.""" + if not fragment: + return fragment + return normalize_percent_characters(fragment) + + +PERCENT_MATCHER = re.compile('%[A-Fa-f0-9]{2}') + + +def normalize_percent_characters(s): + """All percent characters should be upper-cased. + + For example, ``"%3afoo%DF%ab"`` should be turned into ``"%3Afoo%DF%AB"``. + """ + matches = set(PERCENT_MATCHER.findall(s)) + for m in matches: + if not m.isupper(): + s = s.replace(m, m.upper()) + return s + + +def remove_dot_segments(s): + """Remove dot segments from the string. + + See also Section 5.2.4 of :rfc:`3986`. + """ + # See http://tools.ietf.org/html/rfc3986#section-5.2.4 for pseudo-code + segments = s.split('/') # Turn the path into a list of segments + output = [] # Initialize the variable to use to store output + + for segment in segments: + # '.' is the current directory, so ignore it, it is superfluous + if segment == '.': + continue + # Anything other than '..', should be appended to the output + elif segment != '..': + output.append(segment) + # In this case segment == '..', if we can, we should pop the last + # element + elif output: + output.pop() + + # If the path starts with '/' and the output is empty or the first string + # is non-empty + if s.startswith('/') and (not output or output[0]): + output.insert(0, '') + + # If the path starts with '/.' or '/..' ensure we add one more empty + # string to add a trailing '/' + if s.endswith(('/.', '/..')): + output.append('') + + return '/'.join(output) + + +def encode_component(uri_component, encoding): + """Encode the specific component in the provided encoding.""" + if uri_component is None: + return uri_component + + # Try to see if the component we're encoding is already percent-encoded + # so we can skip all '%' characters but still encode all others. + percent_encodings = len(PERCENT_MATCHER.findall( + compat.to_str(uri_component, encoding))) + + uri_bytes = compat.to_bytes(uri_component, encoding) + is_percent_encoded = percent_encodings == uri_bytes.count(b'%') + + encoded_uri = bytearray() + + for i in range(0, len(uri_bytes)): + # Will return a single character bytestring on both Python 2 & 3 + byte = uri_bytes[i:i+1] + byte_ord = ord(byte) + if ((is_percent_encoded and byte == b'%') + or (byte_ord < 128 and byte.decode() in misc.NON_PCT_ENCODED)): + encoded_uri.extend(byte) + continue + encoded_uri.extend('%{0:02x}'.format(byte_ord).encode().upper()) + + return encoded_uri.decode(encoding) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/parseresult.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/parseresult.py new file mode 100644 index 0000000000000000000000000000000000000000..0a7345669397b9d3d298812d8e3febc454506cac --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/parseresult.py @@ -0,0 +1,385 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2015 Ian Stapleton Cordasco +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or +# implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Module containing the urlparse compatibility logic.""" +from collections import namedtuple + +from . import compat +from . import exceptions +from . import misc +from . import normalizers +from . import uri + +__all__ = ('ParseResult', 'ParseResultBytes') + +PARSED_COMPONENTS = ('scheme', 'userinfo', 'host', 'port', 'path', 'query', + 'fragment') + + +class ParseResultMixin(object): + def _generate_authority(self, attributes): + # I swear I did not align the comparisons below. That's just how they + # happened to align based on pep8 and attribute lengths. + userinfo, host, port = (attributes[p] + for p in ('userinfo', 'host', 'port')) + if (self.userinfo != userinfo or + self.host != host or + self.port != port): + if port: + port = '{0}'.format(port) + return normalizers.normalize_authority( + (compat.to_str(userinfo, self.encoding), + compat.to_str(host, self.encoding), + port) + ) + return self.authority + + def geturl(self): + """Shim to match the standard library method.""" + return self.unsplit() + + @property + def hostname(self): + """Shim to match the standard library.""" + return self.host + + @property + def netloc(self): + """Shim to match the standard library.""" + return self.authority + + @property + def params(self): + """Shim to match the standard library.""" + return self.query + + +class ParseResult(namedtuple('ParseResult', PARSED_COMPONENTS), + ParseResultMixin): + """Implementation of urlparse compatibility class. + + This uses the URIReference logic to handle compatibility with the + urlparse.ParseResult class. + """ + + slots = () + + def __new__(cls, scheme, userinfo, host, port, path, query, fragment, + uri_ref, encoding='utf-8'): + """Create a new ParseResult.""" + parse_result = super(ParseResult, cls).__new__( + cls, + scheme or None, + userinfo or None, + host, + port or None, + path or None, + query, + fragment) + parse_result.encoding = encoding + parse_result.reference = uri_ref + return parse_result + + @classmethod + def from_parts(cls, scheme=None, userinfo=None, host=None, port=None, + path=None, query=None, fragment=None, encoding='utf-8'): + """Create a ParseResult instance from its parts.""" + authority = '' + if userinfo is not None: + authority += userinfo + '@' + if host is not None: + authority += host + if port is not None: + authority += ':{0}'.format(port) + uri_ref = uri.URIReference(scheme=scheme, + authority=authority, + path=path, + query=query, + fragment=fragment, + encoding=encoding).normalize() + userinfo, host, port = authority_from(uri_ref, strict=True) + return cls(scheme=uri_ref.scheme, + userinfo=userinfo, + host=host, + port=port, + path=uri_ref.path, + query=uri_ref.query, + fragment=uri_ref.fragment, + uri_ref=uri_ref, + encoding=encoding) + + @classmethod + def from_string(cls, uri_string, encoding='utf-8', strict=True, + lazy_normalize=True): + """Parse a URI from the given unicode URI string. + + :param str uri_string: Unicode URI to be parsed into a reference. + :param str encoding: The encoding of the string provided + :param bool strict: Parse strictly according to :rfc:`3986` if True. + If False, parse similarly to the standard library's urlparse + function. + :returns: :class:`ParseResult` or subclass thereof + """ + reference = uri.URIReference.from_string(uri_string, encoding) + if not lazy_normalize: + reference = reference.normalize() + userinfo, host, port = authority_from(reference, strict) + + return cls(scheme=reference.scheme, + userinfo=userinfo, + host=host, + port=port, + path=reference.path, + query=reference.query, + fragment=reference.fragment, + uri_ref=reference, + encoding=encoding) + + @property + def authority(self): + """Return the normalized authority.""" + return self.reference.authority + + def copy_with(self, scheme=misc.UseExisting, userinfo=misc.UseExisting, + host=misc.UseExisting, port=misc.UseExisting, + path=misc.UseExisting, query=misc.UseExisting, + fragment=misc.UseExisting): + """Create a copy of this instance replacing with specified parts.""" + attributes = zip(PARSED_COMPONENTS, + (scheme, userinfo, host, port, path, query, fragment)) + attrs_dict = {} + for name, value in attributes: + if value is misc.UseExisting: + value = getattr(self, name) + attrs_dict[name] = value + authority = self._generate_authority(attrs_dict) + ref = self.reference.copy_with(scheme=attrs_dict['scheme'], + authority=authority, + path=attrs_dict['path'], + query=attrs_dict['query'], + fragment=attrs_dict['fragment']) + return ParseResult(uri_ref=ref, encoding=self.encoding, **attrs_dict) + + def encode(self, encoding=None): + """Convert to an instance of ParseResultBytes.""" + encoding = encoding or self.encoding + attrs = dict( + zip(PARSED_COMPONENTS, + (attr.encode(encoding) if hasattr(attr, 'encode') else attr + for attr in self))) + return ParseResultBytes( + uri_ref=self.reference, + encoding=encoding, + **attrs + ) + + def unsplit(self, use_idna=False): + """Create a URI string from the components. + + :returns: The parsed URI reconstituted as a string. + :rtype: str + """ + parse_result = self + if use_idna and self.host: + hostbytes = self.host.encode('idna') + host = hostbytes.decode(self.encoding) + parse_result = self.copy_with(host=host) + return parse_result.reference.unsplit() + + +class ParseResultBytes(namedtuple('ParseResultBytes', PARSED_COMPONENTS), + ParseResultMixin): + """Compatibility shim for the urlparse.ParseResultBytes object.""" + + def __new__(cls, scheme, userinfo, host, port, path, query, fragment, + uri_ref, encoding='utf-8', lazy_normalize=True): + """Create a new ParseResultBytes instance.""" + parse_result = super(ParseResultBytes, cls).__new__( + cls, + scheme or None, + userinfo or None, + host, + port or None, + path or None, + query or None, + fragment or None) + parse_result.encoding = encoding + parse_result.reference = uri_ref + parse_result.lazy_normalize = lazy_normalize + return parse_result + + @classmethod + def from_parts(cls, scheme=None, userinfo=None, host=None, port=None, + path=None, query=None, fragment=None, encoding='utf-8', + lazy_normalize=True): + """Create a ParseResult instance from its parts.""" + authority = '' + if userinfo is not None: + authority += userinfo + '@' + if host is not None: + authority += host + if port is not None: + authority += ':{0}'.format(int(port)) + uri_ref = uri.URIReference(scheme=scheme, + authority=authority, + path=path, + query=query, + fragment=fragment, + encoding=encoding) + if not lazy_normalize: + uri_ref = uri_ref.normalize() + to_bytes = compat.to_bytes + userinfo, host, port = authority_from(uri_ref, strict=True) + return cls(scheme=to_bytes(scheme, encoding), + userinfo=to_bytes(userinfo, encoding), + host=to_bytes(host, encoding), + port=port, + path=to_bytes(path, encoding), + query=to_bytes(query, encoding), + fragment=to_bytes(fragment, encoding), + uri_ref=uri_ref, + encoding=encoding, + lazy_normalize=lazy_normalize) + + @classmethod + def from_string(cls, uri_string, encoding='utf-8', strict=True, + lazy_normalize=True): + """Parse a URI from the given unicode URI string. + + :param str uri_string: Unicode URI to be parsed into a reference. + :param str encoding: The encoding of the string provided + :param bool strict: Parse strictly according to :rfc:`3986` if True. + If False, parse similarly to the standard library's urlparse + function. + :returns: :class:`ParseResultBytes` or subclass thereof + """ + reference = uri.URIReference.from_string(uri_string, encoding) + if not lazy_normalize: + reference = reference.normalize() + userinfo, host, port = authority_from(reference, strict) + + to_bytes = compat.to_bytes + return cls(scheme=to_bytes(reference.scheme, encoding), + userinfo=to_bytes(userinfo, encoding), + host=to_bytes(host, encoding), + port=port, + path=to_bytes(reference.path, encoding), + query=to_bytes(reference.query, encoding), + fragment=to_bytes(reference.fragment, encoding), + uri_ref=reference, + encoding=encoding, + lazy_normalize=lazy_normalize) + + @property + def authority(self): + """Return the normalized authority.""" + return self.reference.authority.encode(self.encoding) + + def copy_with(self, scheme=misc.UseExisting, userinfo=misc.UseExisting, + host=misc.UseExisting, port=misc.UseExisting, + path=misc.UseExisting, query=misc.UseExisting, + fragment=misc.UseExisting, lazy_normalize=True): + """Create a copy of this instance replacing with specified parts.""" + attributes = zip(PARSED_COMPONENTS, + (scheme, userinfo, host, port, path, query, fragment)) + attrs_dict = {} + for name, value in attributes: + if value is misc.UseExisting: + value = getattr(self, name) + if not isinstance(value, bytes) and hasattr(value, 'encode'): + value = value.encode(self.encoding) + attrs_dict[name] = value + authority = self._generate_authority(attrs_dict) + to_str = compat.to_str + ref = self.reference.copy_with( + scheme=to_str(attrs_dict['scheme'], self.encoding), + authority=to_str(authority, self.encoding), + path=to_str(attrs_dict['path'], self.encoding), + query=to_str(attrs_dict['query'], self.encoding), + fragment=to_str(attrs_dict['fragment'], self.encoding) + ) + if not lazy_normalize: + ref = ref.normalize() + return ParseResultBytes( + uri_ref=ref, + encoding=self.encoding, + lazy_normalize=lazy_normalize, + **attrs_dict + ) + + def unsplit(self, use_idna=False): + """Create a URI bytes object from the components. + + :returns: The parsed URI reconstituted as a string. + :rtype: bytes + """ + parse_result = self + if use_idna and self.host: + # self.host is bytes, to encode to idna, we need to decode it + # first + host = self.host.decode(self.encoding) + hostbytes = host.encode('idna') + parse_result = self.copy_with(host=hostbytes) + if self.lazy_normalize: + parse_result = parse_result.copy_with(lazy_normalize=False) + uri = parse_result.reference.unsplit() + return uri.encode(self.encoding) + + +def split_authority(authority): + # Initialize our expected return values + userinfo = host = port = None + # Initialize an extra var we may need to use + extra_host = None + # Set-up rest in case there is no userinfo portion + rest = authority + + if '@' in authority: + userinfo, rest = authority.rsplit('@', 1) + + # Handle IPv6 host addresses + if rest.startswith('['): + host, rest = rest.split(']', 1) + host += ']' + + if ':' in rest: + extra_host, port = rest.split(':', 1) + elif not host and rest: + host = rest + + if extra_host and not host: + host = extra_host + + return userinfo, host, port + + +def authority_from(reference, strict): + try: + subauthority = reference.authority_info() + except exceptions.InvalidAuthority: + if strict: + raise + userinfo, host, port = split_authority(reference.authority) + else: + # Thanks to Richard Barrell for this idea: + # https://twitter.com/0x2ba22e11/status/617338811975139328 + userinfo, host, port = (subauthority.get(p) + for p in ('userinfo', 'host', 'port')) + + if port: + try: + port = int(port) + except ValueError: + raise exceptions.InvalidPort(port) + return userinfo, host, port diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/uri.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/uri.py new file mode 100644 index 0000000000000000000000000000000000000000..d1d71505e2a8b39567d420a3ce1bdbe45cf2bd36 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/uri.py @@ -0,0 +1,153 @@ +"""Module containing the implementation of the URIReference class.""" +# -*- coding: utf-8 -*- +# Copyright (c) 2014 Rackspace +# Copyright (c) 2015 Ian Stapleton Cordasco +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or +# implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from collections import namedtuple + +from . import compat +from . import misc +from . import normalizers +from ._mixin import URIMixin + + +class URIReference(namedtuple('URIReference', misc.URI_COMPONENTS), URIMixin): + """Immutable object representing a parsed URI Reference. + + .. note:: + + This class is not intended to be directly instantiated by the user. + + This object exposes attributes for the following components of a + URI: + + - scheme + - authority + - path + - query + - fragment + + .. attribute:: scheme + + The scheme that was parsed for the URI Reference. For example, + ``http``, ``https``, ``smtp``, ``imap``, etc. + + .. attribute:: authority + + Component of the URI that contains the user information, host, + and port sub-components. For example, + ``google.com``, ``127.0.0.1:5000``, ``username@[::1]``, + ``username:password@example.com:443``, etc. + + .. attribute:: path + + The path that was parsed for the given URI Reference. For example, + ``/``, ``/index.php``, etc. + + .. attribute:: query + + The query component for a given URI Reference. For example, ``a=b``, + ``a=b%20c``, ``a=b+c``, ``a=b,c=d,e=%20f``, etc. + + .. attribute:: fragment + + The fragment component of a URI. For example, ``section-3.1``. + + This class also provides extra attributes for easier access to information + like the subcomponents of the authority component. + + .. attribute:: userinfo + + The user information parsed from the authority. + + .. attribute:: host + + The hostname, IPv4, or IPv6 adddres parsed from the authority. + + .. attribute:: port + + The port parsed from the authority. + """ + + slots = () + + def __new__(cls, scheme, authority, path, query, fragment, + encoding='utf-8'): + """Create a new URIReference.""" + ref = super(URIReference, cls).__new__( + cls, + scheme or None, + authority or None, + path or None, + query, + fragment) + ref.encoding = encoding + return ref + + __hash__ = tuple.__hash__ + + def __eq__(self, other): + """Compare this reference to another.""" + other_ref = other + if isinstance(other, tuple): + other_ref = URIReference(*other) + elif not isinstance(other, URIReference): + try: + other_ref = URIReference.from_string(other) + except TypeError: + raise TypeError( + 'Unable to compare URIReference() to {0}()'.format( + type(other).__name__)) + + # See http://tools.ietf.org/html/rfc3986#section-6.2 + naive_equality = tuple(self) == tuple(other_ref) + return naive_equality or self.normalized_equality(other_ref) + + def normalize(self): + """Normalize this reference as described in Section 6.2.2. + + This is not an in-place normalization. Instead this creates a new + URIReference. + + :returns: A new reference object with normalized components. + :rtype: URIReference + """ + # See http://tools.ietf.org/html/rfc3986#section-6.2.2 for logic in + # this method. + return URIReference(normalizers.normalize_scheme(self.scheme or ''), + normalizers.normalize_authority( + (self.userinfo, self.host, self.port)), + normalizers.normalize_path(self.path or ''), + normalizers.normalize_query(self.query), + normalizers.normalize_fragment(self.fragment), + self.encoding) + + @classmethod + def from_string(cls, uri_string, encoding='utf-8'): + """Parse a URI reference from the given unicode URI string. + + :param str uri_string: Unicode URI to be parsed into a reference. + :param str encoding: The encoding of the string provided + :returns: :class:`URIReference` or subclass thereof + """ + uri_string = compat.to_str(uri_string, encoding) + + split_uri = misc.URI_MATCHER.match(uri_string).groupdict() + return cls( + split_uri['scheme'], split_uri['authority'], + normalizers.encode_component(split_uri['path'], encoding), + normalizers.encode_component(split_uri['query'], encoding), + normalizers.encode_component(split_uri['fragment'], encoding), + encoding, + ) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/validators.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/validators.py new file mode 100644 index 0000000000000000000000000000000000000000..7fc97215b1f3ec5b7d689848eee044f2d3d7dc02 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/rfc3986/validators.py @@ -0,0 +1,450 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2017 Ian Stapleton Cordasco +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or +# implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Module containing the validation logic for rfc3986.""" +from . import exceptions +from . import misc +from . import normalizers + + +class Validator(object): + """Object used to configure validation of all objects in rfc3986. + + .. versionadded:: 1.0 + + Example usage:: + + >>> from rfc3986 import api, validators + >>> uri = api.uri_reference('https://github.com/') + >>> validator = validators.Validator().require_presence_of( + ... 'scheme', 'host', 'path', + ... ).allow_schemes( + ... 'http', 'https', + ... ).allow_hosts( + ... '127.0.0.1', 'github.com', + ... ) + >>> validator.validate(uri) + >>> invalid_uri = rfc3986.uri_reference('imap://mail.google.com') + >>> validator.validate(invalid_uri) + Traceback (most recent call last): + ... + rfc3986.exceptions.MissingComponentError: ('path was required but + missing', URIReference(scheme=u'imap', authority=u'mail.google.com', + path=None, query=None, fragment=None), ['path']) + + """ + + COMPONENT_NAMES = frozenset([ + 'scheme', + 'userinfo', + 'host', + 'port', + 'path', + 'query', + 'fragment', + ]) + + def __init__(self): + """Initialize our default validations.""" + self.allowed_schemes = set() + self.allowed_hosts = set() + self.allowed_ports = set() + self.allow_password = True + self.required_components = { + 'scheme': False, + 'userinfo': False, + 'host': False, + 'port': False, + 'path': False, + 'query': False, + 'fragment': False, + } + self.validated_components = self.required_components.copy() + + def allow_schemes(self, *schemes): + """Require the scheme to be one of the provided schemes. + + .. versionadded:: 1.0 + + :param schemes: + Schemes, without ``://`` that are allowed. + :returns: + The validator instance. + :rtype: + Validator + """ + for scheme in schemes: + self.allowed_schemes.add(normalizers.normalize_scheme(scheme)) + return self + + def allow_hosts(self, *hosts): + """Require the host to be one of the provided hosts. + + .. versionadded:: 1.0 + + :param hosts: + Hosts that are allowed. + :returns: + The validator instance. + :rtype: + Validator + """ + for host in hosts: + self.allowed_hosts.add(normalizers.normalize_host(host)) + return self + + def allow_ports(self, *ports): + """Require the port to be one of the provided ports. + + .. versionadded:: 1.0 + + :param ports: + Ports that are allowed. + :returns: + The validator instance. + :rtype: + Validator + """ + for port in ports: + port_int = int(port, base=10) + if 0 <= port_int <= 65535: + self.allowed_ports.add(port) + return self + + def allow_use_of_password(self): + """Allow passwords to be present in the URI. + + .. versionadded:: 1.0 + + :returns: + The validator instance. + :rtype: + Validator + """ + self.allow_password = True + return self + + def forbid_use_of_password(self): + """Prevent passwords from being included in the URI. + + .. versionadded:: 1.0 + + :returns: + The validator instance. + :rtype: + Validator + """ + self.allow_password = False + return self + + def check_validity_of(self, *components): + """Check the validity of the components provided. + + This can be specified repeatedly. + + .. versionadded:: 1.1 + + :param components: + Names of components from :attr:`Validator.COMPONENT_NAMES`. + :returns: + The validator instance. + :rtype: + Validator + """ + components = [c.lower() for c in components] + for component in components: + if component not in self.COMPONENT_NAMES: + raise ValueError( + '"{}" is not a valid component'.format(component) + ) + self.validated_components.update({ + component: True for component in components + }) + return self + + def require_presence_of(self, *components): + """Require the components provided. + + This can be specified repeatedly. + + .. versionadded:: 1.0 + + :param components: + Names of components from :attr:`Validator.COMPONENT_NAMES`. + :returns: + The validator instance. + :rtype: + Validator + """ + components = [c.lower() for c in components] + for component in components: + if component not in self.COMPONENT_NAMES: + raise ValueError( + '"{}" is not a valid component'.format(component) + ) + self.required_components.update({ + component: True for component in components + }) + return self + + def validate(self, uri): + """Check a URI for conditions specified on this validator. + + .. versionadded:: 1.0 + + :param uri: + Parsed URI to validate. + :type uri: + rfc3986.uri.URIReference + :raises MissingComponentError: + When a required component is missing. + :raises UnpermittedComponentError: + When a component is not one of those allowed. + :raises PasswordForbidden: + When a password is present in the userinfo component but is + not permitted by configuration. + :raises InvalidComponentsError: + When a component was found to be invalid. + """ + if not self.allow_password: + check_password(uri) + + required_components = [ + component + for component, required in self.required_components.items() + if required + ] + validated_components = [ + component + for component, required in self.validated_components.items() + if required + ] + if required_components: + ensure_required_components_exist(uri, required_components) + if validated_components: + ensure_components_are_valid(uri, validated_components) + + ensure_one_of(self.allowed_schemes, uri, 'scheme') + ensure_one_of(self.allowed_hosts, uri, 'host') + ensure_one_of(self.allowed_ports, uri, 'port') + + +def check_password(uri): + """Assert that there is no password present in the uri.""" + userinfo = uri.userinfo + if not userinfo: + return + credentials = userinfo.split(':', 1) + if len(credentials) <= 1: + return + raise exceptions.PasswordForbidden(uri) + + +def ensure_one_of(allowed_values, uri, attribute): + """Assert that the uri's attribute is one of the allowed values.""" + value = getattr(uri, attribute) + if value is not None and allowed_values and value not in allowed_values: + raise exceptions.UnpermittedComponentError( + attribute, value, allowed_values, + ) + + +def ensure_required_components_exist(uri, required_components): + """Assert that all required components are present in the URI.""" + missing_components = sorted([ + component + for component in required_components + if getattr(uri, component) is None + ]) + if missing_components: + raise exceptions.MissingComponentError(uri, *missing_components) + + +def is_valid(value, matcher, require): + """Determine if a value is valid based on the provided matcher. + + :param str value: + Value to validate. + :param matcher: + Compiled regular expression to use to validate the value. + :param require: + Whether or not the value is required. + """ + if require: + return (value is not None + and matcher.match(value)) + + # require is False and value is not None + return value is None or matcher.match(value) + + +def authority_is_valid(authority, host=None, require=False): + """Determine if the authority string is valid. + + :param str authority: + The authority to validate. + :param str host: + (optional) The host portion of the authority to validate. + :param bool require: + (optional) Specify if authority must not be None. + :returns: + ``True`` if valid, ``False`` otherwise + :rtype: + bool + """ + validated = is_valid(authority, misc.SUBAUTHORITY_MATCHER, require) + if validated and host is not None: + return host_is_valid(host, require) + return validated + + +def host_is_valid(host, require=False): + """Determine if the host string is valid. + + :param str host: + The host to validate. + :param bool require: + (optional) Specify if host must not be None. + :returns: + ``True`` if valid, ``False`` otherwise + :rtype: + bool + """ + validated = is_valid(host, misc.HOST_MATCHER, require) + if validated and host is not None and misc.IPv4_MATCHER.match(host): + return valid_ipv4_host_address(host) + elif validated and host is not None and misc.IPv6_MATCHER.match(host): + return misc.IPv6_NO_RFC4007_MATCHER.match(host) is not None + return validated + + +def scheme_is_valid(scheme, require=False): + """Determine if the scheme is valid. + + :param str scheme: + The scheme string to validate. + :param bool require: + (optional) Set to ``True`` to require the presence of a scheme. + :returns: + ``True`` if the scheme is valid. ``False`` otherwise. + :rtype: + bool + """ + return is_valid(scheme, misc.SCHEME_MATCHER, require) + + +def path_is_valid(path, require=False): + """Determine if the path component is valid. + + :param str path: + The path string to validate. + :param bool require: + (optional) Set to ``True`` to require the presence of a path. + :returns: + ``True`` if the path is valid. ``False`` otherwise. + :rtype: + bool + """ + return is_valid(path, misc.PATH_MATCHER, require) + + +def query_is_valid(query, require=False): + """Determine if the query component is valid. + + :param str query: + The query string to validate. + :param bool require: + (optional) Set to ``True`` to require the presence of a query. + :returns: + ``True`` if the query is valid. ``False`` otherwise. + :rtype: + bool + """ + return is_valid(query, misc.QUERY_MATCHER, require) + + +def fragment_is_valid(fragment, require=False): + """Determine if the fragment component is valid. + + :param str fragment: + The fragment string to validate. + :param bool require: + (optional) Set to ``True`` to require the presence of a fragment. + :returns: + ``True`` if the fragment is valid. ``False`` otherwise. + :rtype: + bool + """ + return is_valid(fragment, misc.FRAGMENT_MATCHER, require) + + +def valid_ipv4_host_address(host): + """Determine if the given host is a valid IPv4 address.""" + # If the host exists, and it might be IPv4, check each byte in the + # address. + return all([0 <= int(byte, base=10) <= 255 for byte in host.split('.')]) + + +_COMPONENT_VALIDATORS = { + 'scheme': scheme_is_valid, + 'path': path_is_valid, + 'query': query_is_valid, + 'fragment': fragment_is_valid, +} + +_SUBAUTHORITY_VALIDATORS = set(['userinfo', 'host', 'port']) + + +def subauthority_component_is_valid(uri, component): + """Determine if the userinfo, host, and port are valid.""" + try: + subauthority_dict = uri.authority_info() + except exceptions.InvalidAuthority: + return False + + # If we can parse the authority into sub-components and we're not + # validating the port, we can assume it's valid. + if component == 'host': + return host_is_valid(subauthority_dict['host']) + elif component != 'port': + return True + + try: + port = int(subauthority_dict['port']) + except TypeError: + # If the port wasn't provided it'll be None and int(None) raises a + # TypeError + return True + + return (0 <= port <= 65535) + + +def ensure_components_are_valid(uri, validated_components): + """Assert that all components are valid in the URI.""" + invalid_components = set([]) + for component in validated_components: + if component in _SUBAUTHORITY_VALIDATORS: + if not subauthority_component_is_valid(uri, component): + invalid_components.add(component) + # Python's peephole optimizer means that while this continue *is* + # actually executed, coverage.py cannot detect that. See also, + # https://bitbucket.org/ned/coveragepy/issues/198/continue-marked-as-not-covered + continue # nocov: Python 2.7, 3.3, 3.4 + + validator = _COMPONENT_VALIDATORS[component] + if not validator(getattr(uri, component)): + invalid_components.add(component) + + if invalid_components: + raise exceptions.InvalidComponentsError(uri, *invalid_components) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/six.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/six.py new file mode 100644 index 0000000000000000000000000000000000000000..190c0239cd7d7af82a6e0cbc8d68053fa2e3dfaf --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/packages/six.py @@ -0,0 +1,868 @@ +"""Utilities for writing code that runs on Python 2 and 3""" + +# Copyright (c) 2010-2015 Benjamin Peterson +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in all +# copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +# SOFTWARE. + +from __future__ import absolute_import + +import functools +import itertools +import operator +import sys +import types + +__author__ = "Benjamin Peterson " +__version__ = "1.10.0" + + +# Useful for very coarse version differentiation. +PY2 = sys.version_info[0] == 2 +PY3 = sys.version_info[0] == 3 +PY34 = sys.version_info[0:2] >= (3, 4) + +if PY3: + string_types = str, + integer_types = int, + class_types = type, + text_type = str + binary_type = bytes + + MAXSIZE = sys.maxsize +else: + string_types = basestring, + integer_types = (int, long) + class_types = (type, types.ClassType) + text_type = unicode + binary_type = str + + if sys.platform.startswith("java"): + # Jython always uses 32 bits. + MAXSIZE = int((1 << 31) - 1) + else: + # It's possible to have sizeof(long) != sizeof(Py_ssize_t). + class X(object): + + def __len__(self): + return 1 << 31 + try: + len(X()) + except OverflowError: + # 32-bit + MAXSIZE = int((1 << 31) - 1) + else: + # 64-bit + MAXSIZE = int((1 << 63) - 1) + del X + + +def _add_doc(func, doc): + """Add documentation to a function.""" + func.__doc__ = doc + + +def _import_module(name): + """Import module, returning the module after the last dot.""" + __import__(name) + return sys.modules[name] + + +class _LazyDescr(object): + + def __init__(self, name): + self.name = name + + def __get__(self, obj, tp): + result = self._resolve() + setattr(obj, self.name, result) # Invokes __set__. + try: + # This is a bit ugly, but it avoids running this again by + # removing this descriptor. + delattr(obj.__class__, self.name) + except AttributeError: + pass + return result + + +class MovedModule(_LazyDescr): + + def __init__(self, name, old, new=None): + super(MovedModule, self).__init__(name) + if PY3: + if new is None: + new = name + self.mod = new + else: + self.mod = old + + def _resolve(self): + return _import_module(self.mod) + + def __getattr__(self, attr): + _module = self._resolve() + value = getattr(_module, attr) + setattr(self, attr, value) + return value + + +class _LazyModule(types.ModuleType): + + def __init__(self, name): + super(_LazyModule, self).__init__(name) + self.__doc__ = self.__class__.__doc__ + + def __dir__(self): + attrs = ["__doc__", "__name__"] + attrs += [attr.name for attr in self._moved_attributes] + return attrs + + # Subclasses should override this + _moved_attributes = [] + + +class MovedAttribute(_LazyDescr): + + def __init__(self, name, old_mod, new_mod, old_attr=None, new_attr=None): + super(MovedAttribute, self).__init__(name) + if PY3: + if new_mod is None: + new_mod = name + self.mod = new_mod + if new_attr is None: + if old_attr is None: + new_attr = name + else: + new_attr = old_attr + self.attr = new_attr + else: + self.mod = old_mod + if old_attr is None: + old_attr = name + self.attr = old_attr + + def _resolve(self): + module = _import_module(self.mod) + return getattr(module, self.attr) + + +class _SixMetaPathImporter(object): + + """ + A meta path importer to import six.moves and its submodules. + + This class implements a PEP302 finder and loader. It should be compatible + with Python 2.5 and all existing versions of Python3 + """ + + def __init__(self, six_module_name): + self.name = six_module_name + self.known_modules = {} + + def _add_module(self, mod, *fullnames): + for fullname in fullnames: + self.known_modules[self.name + "." + fullname] = mod + + def _get_module(self, fullname): + return self.known_modules[self.name + "." + fullname] + + def find_module(self, fullname, path=None): + if fullname in self.known_modules: + return self + return None + + def __get_module(self, fullname): + try: + return self.known_modules[fullname] + except KeyError: + raise ImportError("This loader does not know module " + fullname) + + def load_module(self, fullname): + try: + # in case of a reload + return sys.modules[fullname] + except KeyError: + pass + mod = self.__get_module(fullname) + if isinstance(mod, MovedModule): + mod = mod._resolve() + else: + mod.__loader__ = self + sys.modules[fullname] = mod + return mod + + def is_package(self, fullname): + """ + Return true, if the named module is a package. + + We need this method to get correct spec objects with + Python 3.4 (see PEP451) + """ + return hasattr(self.__get_module(fullname), "__path__") + + def get_code(self, fullname): + """Return None + + Required, if is_package is implemented""" + self.__get_module(fullname) # eventually raises ImportError + return None + get_source = get_code # same as get_code + +_importer = _SixMetaPathImporter(__name__) + + +class _MovedItems(_LazyModule): + + """Lazy loading of moved objects""" + __path__ = [] # mark as package + + +_moved_attributes = [ + MovedAttribute("cStringIO", "cStringIO", "io", "StringIO"), + MovedAttribute("filter", "itertools", "builtins", "ifilter", "filter"), + MovedAttribute("filterfalse", "itertools", "itertools", "ifilterfalse", "filterfalse"), + MovedAttribute("input", "__builtin__", "builtins", "raw_input", "input"), + MovedAttribute("intern", "__builtin__", "sys"), + MovedAttribute("map", "itertools", "builtins", "imap", "map"), + MovedAttribute("getcwd", "os", "os", "getcwdu", "getcwd"), + MovedAttribute("getcwdb", "os", "os", "getcwd", "getcwdb"), + MovedAttribute("range", "__builtin__", "builtins", "xrange", "range"), + MovedAttribute("reload_module", "__builtin__", "importlib" if PY34 else "imp", "reload"), + MovedAttribute("reduce", "__builtin__", "functools"), + MovedAttribute("shlex_quote", "pipes", "shlex", "quote"), + MovedAttribute("StringIO", "StringIO", "io"), + MovedAttribute("UserDict", "UserDict", "collections"), + MovedAttribute("UserList", "UserList", "collections"), + MovedAttribute("UserString", "UserString", "collections"), + MovedAttribute("xrange", "__builtin__", "builtins", "xrange", "range"), + MovedAttribute("zip", "itertools", "builtins", "izip", "zip"), + MovedAttribute("zip_longest", "itertools", "itertools", "izip_longest", "zip_longest"), + MovedModule("builtins", "__builtin__"), + MovedModule("configparser", "ConfigParser"), + MovedModule("copyreg", "copy_reg"), + MovedModule("dbm_gnu", "gdbm", "dbm.gnu"), + MovedModule("_dummy_thread", "dummy_thread", "_dummy_thread"), + MovedModule("http_cookiejar", "cookielib", "http.cookiejar"), + MovedModule("http_cookies", "Cookie", "http.cookies"), + MovedModule("html_entities", "htmlentitydefs", "html.entities"), + MovedModule("html_parser", "HTMLParser", "html.parser"), + MovedModule("http_client", "httplib", "http.client"), + MovedModule("email_mime_multipart", "email.MIMEMultipart", "email.mime.multipart"), + MovedModule("email_mime_nonmultipart", "email.MIMENonMultipart", "email.mime.nonmultipart"), + MovedModule("email_mime_text", "email.MIMEText", "email.mime.text"), + MovedModule("email_mime_base", "email.MIMEBase", "email.mime.base"), + MovedModule("BaseHTTPServer", "BaseHTTPServer", "http.server"), + MovedModule("CGIHTTPServer", "CGIHTTPServer", "http.server"), + MovedModule("SimpleHTTPServer", "SimpleHTTPServer", "http.server"), + MovedModule("cPickle", "cPickle", "pickle"), + MovedModule("queue", "Queue"), + MovedModule("reprlib", "repr"), + MovedModule("socketserver", "SocketServer"), + MovedModule("_thread", "thread", "_thread"), + MovedModule("tkinter", "Tkinter"), + MovedModule("tkinter_dialog", "Dialog", "tkinter.dialog"), + MovedModule("tkinter_filedialog", "FileDialog", "tkinter.filedialog"), + MovedModule("tkinter_scrolledtext", "ScrolledText", "tkinter.scrolledtext"), + MovedModule("tkinter_simpledialog", "SimpleDialog", "tkinter.simpledialog"), + MovedModule("tkinter_tix", "Tix", "tkinter.tix"), + MovedModule("tkinter_ttk", "ttk", "tkinter.ttk"), + MovedModule("tkinter_constants", "Tkconstants", "tkinter.constants"), + MovedModule("tkinter_dnd", "Tkdnd", "tkinter.dnd"), + MovedModule("tkinter_colorchooser", "tkColorChooser", + "tkinter.colorchooser"), + MovedModule("tkinter_commondialog", "tkCommonDialog", + "tkinter.commondialog"), + MovedModule("tkinter_tkfiledialog", "tkFileDialog", "tkinter.filedialog"), + MovedModule("tkinter_font", "tkFont", "tkinter.font"), + MovedModule("tkinter_messagebox", "tkMessageBox", "tkinter.messagebox"), + MovedModule("tkinter_tksimpledialog", "tkSimpleDialog", + "tkinter.simpledialog"), + MovedModule("urllib_parse", __name__ + ".moves.urllib_parse", "urllib.parse"), + MovedModule("urllib_error", __name__ + ".moves.urllib_error", "urllib.error"), + MovedModule("urllib", __name__ + ".moves.urllib", __name__ + ".moves.urllib"), + MovedModule("urllib_robotparser", "robotparser", "urllib.robotparser"), + MovedModule("xmlrpc_client", "xmlrpclib", "xmlrpc.client"), + MovedModule("xmlrpc_server", "SimpleXMLRPCServer", "xmlrpc.server"), +] +# Add windows specific modules. +if sys.platform == "win32": + _moved_attributes += [ + MovedModule("winreg", "_winreg"), + ] + +for attr in _moved_attributes: + setattr(_MovedItems, attr.name, attr) + if isinstance(attr, MovedModule): + _importer._add_module(attr, "moves." + attr.name) +del attr + +_MovedItems._moved_attributes = _moved_attributes + +moves = _MovedItems(__name__ + ".moves") +_importer._add_module(moves, "moves") + + +class Module_six_moves_urllib_parse(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_parse""" + + +_urllib_parse_moved_attributes = [ + MovedAttribute("ParseResult", "urlparse", "urllib.parse"), + MovedAttribute("SplitResult", "urlparse", "urllib.parse"), + MovedAttribute("parse_qs", "urlparse", "urllib.parse"), + MovedAttribute("parse_qsl", "urlparse", "urllib.parse"), + MovedAttribute("urldefrag", "urlparse", "urllib.parse"), + MovedAttribute("urljoin", "urlparse", "urllib.parse"), + MovedAttribute("urlparse", "urlparse", "urllib.parse"), + MovedAttribute("urlsplit", "urlparse", "urllib.parse"), + MovedAttribute("urlunparse", "urlparse", "urllib.parse"), + MovedAttribute("urlunsplit", "urlparse", "urllib.parse"), + MovedAttribute("quote", "urllib", "urllib.parse"), + MovedAttribute("quote_plus", "urllib", "urllib.parse"), + MovedAttribute("unquote", "urllib", "urllib.parse"), + MovedAttribute("unquote_plus", "urllib", "urllib.parse"), + MovedAttribute("urlencode", "urllib", "urllib.parse"), + MovedAttribute("splitquery", "urllib", "urllib.parse"), + MovedAttribute("splittag", "urllib", "urllib.parse"), + MovedAttribute("splituser", "urllib", "urllib.parse"), + MovedAttribute("uses_fragment", "urlparse", "urllib.parse"), + MovedAttribute("uses_netloc", "urlparse", "urllib.parse"), + MovedAttribute("uses_params", "urlparse", "urllib.parse"), + MovedAttribute("uses_query", "urlparse", "urllib.parse"), + MovedAttribute("uses_relative", "urlparse", "urllib.parse"), +] +for attr in _urllib_parse_moved_attributes: + setattr(Module_six_moves_urllib_parse, attr.name, attr) +del attr + +Module_six_moves_urllib_parse._moved_attributes = _urllib_parse_moved_attributes + +_importer._add_module(Module_six_moves_urllib_parse(__name__ + ".moves.urllib_parse"), + "moves.urllib_parse", "moves.urllib.parse") + + +class Module_six_moves_urllib_error(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_error""" + + +_urllib_error_moved_attributes = [ + MovedAttribute("URLError", "urllib2", "urllib.error"), + MovedAttribute("HTTPError", "urllib2", "urllib.error"), + MovedAttribute("ContentTooShortError", "urllib", "urllib.error"), +] +for attr in _urllib_error_moved_attributes: + setattr(Module_six_moves_urllib_error, attr.name, attr) +del attr + +Module_six_moves_urllib_error._moved_attributes = _urllib_error_moved_attributes + +_importer._add_module(Module_six_moves_urllib_error(__name__ + ".moves.urllib.error"), + "moves.urllib_error", "moves.urllib.error") + + +class Module_six_moves_urllib_request(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_request""" + + +_urllib_request_moved_attributes = [ + MovedAttribute("urlopen", "urllib2", "urllib.request"), + MovedAttribute("install_opener", "urllib2", "urllib.request"), + MovedAttribute("build_opener", "urllib2", "urllib.request"), + MovedAttribute("pathname2url", "urllib", "urllib.request"), + MovedAttribute("url2pathname", "urllib", "urllib.request"), + MovedAttribute("getproxies", "urllib", "urllib.request"), + MovedAttribute("Request", "urllib2", "urllib.request"), + MovedAttribute("OpenerDirector", "urllib2", "urllib.request"), + MovedAttribute("HTTPDefaultErrorHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPRedirectHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPCookieProcessor", "urllib2", "urllib.request"), + MovedAttribute("ProxyHandler", "urllib2", "urllib.request"), + MovedAttribute("BaseHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPPasswordMgr", "urllib2", "urllib.request"), + MovedAttribute("HTTPPasswordMgrWithDefaultRealm", "urllib2", "urllib.request"), + MovedAttribute("AbstractBasicAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPBasicAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("ProxyBasicAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("AbstractDigestAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPDigestAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("ProxyDigestAuthHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPSHandler", "urllib2", "urllib.request"), + MovedAttribute("FileHandler", "urllib2", "urllib.request"), + MovedAttribute("FTPHandler", "urllib2", "urllib.request"), + MovedAttribute("CacheFTPHandler", "urllib2", "urllib.request"), + MovedAttribute("UnknownHandler", "urllib2", "urllib.request"), + MovedAttribute("HTTPErrorProcessor", "urllib2", "urllib.request"), + MovedAttribute("urlretrieve", "urllib", "urllib.request"), + MovedAttribute("urlcleanup", "urllib", "urllib.request"), + MovedAttribute("URLopener", "urllib", "urllib.request"), + MovedAttribute("FancyURLopener", "urllib", "urllib.request"), + MovedAttribute("proxy_bypass", "urllib", "urllib.request"), +] +for attr in _urllib_request_moved_attributes: + setattr(Module_six_moves_urllib_request, attr.name, attr) +del attr + +Module_six_moves_urllib_request._moved_attributes = _urllib_request_moved_attributes + +_importer._add_module(Module_six_moves_urllib_request(__name__ + ".moves.urllib.request"), + "moves.urllib_request", "moves.urllib.request") + + +class Module_six_moves_urllib_response(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_response""" + + +_urllib_response_moved_attributes = [ + MovedAttribute("addbase", "urllib", "urllib.response"), + MovedAttribute("addclosehook", "urllib", "urllib.response"), + MovedAttribute("addinfo", "urllib", "urllib.response"), + MovedAttribute("addinfourl", "urllib", "urllib.response"), +] +for attr in _urllib_response_moved_attributes: + setattr(Module_six_moves_urllib_response, attr.name, attr) +del attr + +Module_six_moves_urllib_response._moved_attributes = _urllib_response_moved_attributes + +_importer._add_module(Module_six_moves_urllib_response(__name__ + ".moves.urllib.response"), + "moves.urllib_response", "moves.urllib.response") + + +class Module_six_moves_urllib_robotparser(_LazyModule): + + """Lazy loading of moved objects in six.moves.urllib_robotparser""" + + +_urllib_robotparser_moved_attributes = [ + MovedAttribute("RobotFileParser", "robotparser", "urllib.robotparser"), +] +for attr in _urllib_robotparser_moved_attributes: + setattr(Module_six_moves_urllib_robotparser, attr.name, attr) +del attr + +Module_six_moves_urllib_robotparser._moved_attributes = _urllib_robotparser_moved_attributes + +_importer._add_module(Module_six_moves_urllib_robotparser(__name__ + ".moves.urllib.robotparser"), + "moves.urllib_robotparser", "moves.urllib.robotparser") + + +class Module_six_moves_urllib(types.ModuleType): + + """Create a six.moves.urllib namespace that resembles the Python 3 namespace""" + __path__ = [] # mark as package + parse = _importer._get_module("moves.urllib_parse") + error = _importer._get_module("moves.urllib_error") + request = _importer._get_module("moves.urllib_request") + response = _importer._get_module("moves.urllib_response") + robotparser = _importer._get_module("moves.urllib_robotparser") + + def __dir__(self): + return ['parse', 'error', 'request', 'response', 'robotparser'] + +_importer._add_module(Module_six_moves_urllib(__name__ + ".moves.urllib"), + "moves.urllib") + + +def add_move(move): + """Add an item to six.moves.""" + setattr(_MovedItems, move.name, move) + + +def remove_move(name): + """Remove item from six.moves.""" + try: + delattr(_MovedItems, name) + except AttributeError: + try: + del moves.__dict__[name] + except KeyError: + raise AttributeError("no such move, %r" % (name,)) + + +if PY3: + _meth_func = "__func__" + _meth_self = "__self__" + + _func_closure = "__closure__" + _func_code = "__code__" + _func_defaults = "__defaults__" + _func_globals = "__globals__" +else: + _meth_func = "im_func" + _meth_self = "im_self" + + _func_closure = "func_closure" + _func_code = "func_code" + _func_defaults = "func_defaults" + _func_globals = "func_globals" + + +try: + advance_iterator = next +except NameError: + def advance_iterator(it): + return it.next() +next = advance_iterator + + +try: + callable = callable +except NameError: + def callable(obj): + return any("__call__" in klass.__dict__ for klass in type(obj).__mro__) + + +if PY3: + def get_unbound_function(unbound): + return unbound + + create_bound_method = types.MethodType + + def create_unbound_method(func, cls): + return func + + Iterator = object +else: + def get_unbound_function(unbound): + return unbound.im_func + + def create_bound_method(func, obj): + return types.MethodType(func, obj, obj.__class__) + + def create_unbound_method(func, cls): + return types.MethodType(func, None, cls) + + class Iterator(object): + + def next(self): + return type(self).__next__(self) + + callable = callable +_add_doc(get_unbound_function, + """Get the function out of a possibly unbound function""") + + +get_method_function = operator.attrgetter(_meth_func) +get_method_self = operator.attrgetter(_meth_self) +get_function_closure = operator.attrgetter(_func_closure) +get_function_code = operator.attrgetter(_func_code) +get_function_defaults = operator.attrgetter(_func_defaults) +get_function_globals = operator.attrgetter(_func_globals) + + +if PY3: + def iterkeys(d, **kw): + return iter(d.keys(**kw)) + + def itervalues(d, **kw): + return iter(d.values(**kw)) + + def iteritems(d, **kw): + return iter(d.items(**kw)) + + def iterlists(d, **kw): + return iter(d.lists(**kw)) + + viewkeys = operator.methodcaller("keys") + + viewvalues = operator.methodcaller("values") + + viewitems = operator.methodcaller("items") +else: + def iterkeys(d, **kw): + return d.iterkeys(**kw) + + def itervalues(d, **kw): + return d.itervalues(**kw) + + def iteritems(d, **kw): + return d.iteritems(**kw) + + def iterlists(d, **kw): + return d.iterlists(**kw) + + viewkeys = operator.methodcaller("viewkeys") + + viewvalues = operator.methodcaller("viewvalues") + + viewitems = operator.methodcaller("viewitems") + +_add_doc(iterkeys, "Return an iterator over the keys of a dictionary.") +_add_doc(itervalues, "Return an iterator over the values of a dictionary.") +_add_doc(iteritems, + "Return an iterator over the (key, value) pairs of a dictionary.") +_add_doc(iterlists, + "Return an iterator over the (key, [values]) pairs of a dictionary.") + + +if PY3: + def b(s): + return s.encode("latin-1") + + def u(s): + return s + unichr = chr + import struct + int2byte = struct.Struct(">B").pack + del struct + byte2int = operator.itemgetter(0) + indexbytes = operator.getitem + iterbytes = iter + import io + StringIO = io.StringIO + BytesIO = io.BytesIO + _assertCountEqual = "assertCountEqual" + if sys.version_info[1] <= 1: + _assertRaisesRegex = "assertRaisesRegexp" + _assertRegex = "assertRegexpMatches" + else: + _assertRaisesRegex = "assertRaisesRegex" + _assertRegex = "assertRegex" +else: + def b(s): + return s + # Workaround for standalone backslash + + def u(s): + return unicode(s.replace(r'\\', r'\\\\'), "unicode_escape") + unichr = unichr + int2byte = chr + + def byte2int(bs): + return ord(bs[0]) + + def indexbytes(buf, i): + return ord(buf[i]) + iterbytes = functools.partial(itertools.imap, ord) + import StringIO + StringIO = BytesIO = StringIO.StringIO + _assertCountEqual = "assertItemsEqual" + _assertRaisesRegex = "assertRaisesRegexp" + _assertRegex = "assertRegexpMatches" +_add_doc(b, """Byte literal""") +_add_doc(u, """Text literal""") + + +def assertCountEqual(self, *args, **kwargs): + return getattr(self, _assertCountEqual)(*args, **kwargs) + + +def assertRaisesRegex(self, *args, **kwargs): + return getattr(self, _assertRaisesRegex)(*args, **kwargs) + + +def assertRegex(self, *args, **kwargs): + return getattr(self, _assertRegex)(*args, **kwargs) + + +if PY3: + exec_ = getattr(moves.builtins, "exec") + + def reraise(tp, value, tb=None): + if value is None: + value = tp() + if value.__traceback__ is not tb: + raise value.with_traceback(tb) + raise value + +else: + def exec_(_code_, _globs_=None, _locs_=None): + """Execute code in a namespace.""" + if _globs_ is None: + frame = sys._getframe(1) + _globs_ = frame.f_globals + if _locs_ is None: + _locs_ = frame.f_locals + del frame + elif _locs_ is None: + _locs_ = _globs_ + exec("""exec _code_ in _globs_, _locs_""") + + exec_("""def reraise(tp, value, tb=None): + raise tp, value, tb +""") + + +if sys.version_info[:2] == (3, 2): + exec_("""def raise_from(value, from_value): + if from_value is None: + raise value + raise value from from_value +""") +elif sys.version_info[:2] > (3, 2): + exec_("""def raise_from(value, from_value): + raise value from from_value +""") +else: + def raise_from(value, from_value): + raise value + + +print_ = getattr(moves.builtins, "print", None) +if print_ is None: + def print_(*args, **kwargs): + """The new-style print function for Python 2.4 and 2.5.""" + fp = kwargs.pop("file", sys.stdout) + if fp is None: + return + + def write(data): + if not isinstance(data, basestring): + data = str(data) + # If the file has an encoding, encode unicode with it. + if (isinstance(fp, file) and + isinstance(data, unicode) and + fp.encoding is not None): + errors = getattr(fp, "errors", None) + if errors is None: + errors = "strict" + data = data.encode(fp.encoding, errors) + fp.write(data) + want_unicode = False + sep = kwargs.pop("sep", None) + if sep is not None: + if isinstance(sep, unicode): + want_unicode = True + elif not isinstance(sep, str): + raise TypeError("sep must be None or a string") + end = kwargs.pop("end", None) + if end is not None: + if isinstance(end, unicode): + want_unicode = True + elif not isinstance(end, str): + raise TypeError("end must be None or a string") + if kwargs: + raise TypeError("invalid keyword arguments to print()") + if not want_unicode: + for arg in args: + if isinstance(arg, unicode): + want_unicode = True + break + if want_unicode: + newline = unicode("\n") + space = unicode(" ") + else: + newline = "\n" + space = " " + if sep is None: + sep = space + if end is None: + end = newline + for i, arg in enumerate(args): + if i: + write(sep) + write(arg) + write(end) +if sys.version_info[:2] < (3, 3): + _print = print_ + + def print_(*args, **kwargs): + fp = kwargs.get("file", sys.stdout) + flush = kwargs.pop("flush", False) + _print(*args, **kwargs) + if flush and fp is not None: + fp.flush() + +_add_doc(reraise, """Reraise an exception.""") + +if sys.version_info[0:2] < (3, 4): + def wraps(wrapped, assigned=functools.WRAPPER_ASSIGNMENTS, + updated=functools.WRAPPER_UPDATES): + def wrapper(f): + f = functools.wraps(wrapped, assigned, updated)(f) + f.__wrapped__ = wrapped + return f + return wrapper +else: + wraps = functools.wraps + + +def with_metaclass(meta, *bases): + """Create a base class with a metaclass.""" + # This requires a bit of explanation: the basic idea is to make a dummy + # metaclass for one level of class instantiation that replaces itself with + # the actual metaclass. + class metaclass(meta): + + def __new__(cls, name, this_bases, d): + return meta(name, bases, d) + return type.__new__(metaclass, 'temporary_class', (), {}) + + +def add_metaclass(metaclass): + """Class decorator for creating a class with a metaclass.""" + def wrapper(cls): + orig_vars = cls.__dict__.copy() + slots = orig_vars.get('__slots__') + if slots is not None: + if isinstance(slots, str): + slots = [slots] + for slots_var in slots: + orig_vars.pop(slots_var) + orig_vars.pop('__dict__', None) + orig_vars.pop('__weakref__', None) + return metaclass(cls.__name__, cls.__bases__, orig_vars) + return wrapper + + +def python_2_unicode_compatible(klass): + """ + A decorator that defines __unicode__ and __str__ methods under Python 2. + Under Python 3 it does nothing. + + To support Python 2 and 3 with a single code base, define a __str__ method + returning text and apply this decorator to the class. + """ + if PY2: + if '__str__' not in klass.__dict__: + raise ValueError("@python_2_unicode_compatible cannot be applied " + "to %s because it doesn't define __str__()." % + klass.__name__) + klass.__unicode__ = klass.__str__ + klass.__str__ = lambda self: self.__unicode__().encode('utf-8') + return klass + + +# Complete the moves implementation. +# This code is at the end of this module to speed up module loading. +# Turn this module into a package. +__path__ = [] # required for PEP 302 and PEP 451 +__package__ = __name__ # see PEP 366 @ReservedAssignment +if globals().get("__spec__") is not None: + __spec__.submodule_search_locations = [] # PEP 451 @UndefinedVariable +# Remove other six meta path importers, since they cause problems. This can +# happen if six is removed from sys.modules and then reloaded. (Setuptools does +# this for some reason.) +if sys.meta_path: + for i, importer in enumerate(sys.meta_path): + # Here's some real nastiness: Another "instance" of the six module might + # be floating around. Therefore, we can't use isinstance() to check for + # the six meta path importer, since the other six instance will have + # inserted an importer with different class. + if (type(importer).__name__ == "_SixMetaPathImporter" and + importer.name == __name__): + del sys.meta_path[i] + break + del i, importer +# Finally, add the importer to the meta path import hook. +sys.meta_path.append(_importer) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/poolmanager.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/poolmanager.py new file mode 100644 index 0000000000000000000000000000000000000000..a6ade6e905629f48dadec33659251ddb574e7d5a --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/poolmanager.py @@ -0,0 +1,455 @@ +from __future__ import absolute_import +import collections +import functools +import logging + +from ._collections import RecentlyUsedContainer +from .connectionpool import HTTPConnectionPool, HTTPSConnectionPool +from .connectionpool import port_by_scheme +from .exceptions import LocationValueError, MaxRetryError, ProxySchemeUnknown +from .packages import six +from .packages.six.moves.urllib.parse import urljoin +from .request import RequestMethods +from .util.url import parse_url +from .util.retry import Retry + + +__all__ = ['PoolManager', 'ProxyManager', 'proxy_from_url'] + + +log = logging.getLogger(__name__) + +SSL_KEYWORDS = ('key_file', 'cert_file', 'cert_reqs', 'ca_certs', + 'ssl_version', 'ca_cert_dir', 'ssl_context', + 'key_password') + +# All known keyword arguments that could be provided to the pool manager, its +# pools, or the underlying connections. This is used to construct a pool key. +_key_fields = ( + 'key_scheme', # str + 'key_host', # str + 'key_port', # int + 'key_timeout', # int or float or Timeout + 'key_retries', # int or Retry + 'key_strict', # bool + 'key_block', # bool + 'key_source_address', # str + 'key_key_file', # str + 'key_key_password', # str + 'key_cert_file', # str + 'key_cert_reqs', # str + 'key_ca_certs', # str + 'key_ssl_version', # str + 'key_ca_cert_dir', # str + 'key_ssl_context', # instance of ssl.SSLContext or urllib3.util.ssl_.SSLContext + 'key_maxsize', # int + 'key_headers', # dict + 'key__proxy', # parsed proxy url + 'key__proxy_headers', # dict + 'key_socket_options', # list of (level (int), optname (int), value (int or str)) tuples + 'key__socks_options', # dict + 'key_assert_hostname', # bool or string + 'key_assert_fingerprint', # str + 'key_server_hostname', # str +) + +#: The namedtuple class used to construct keys for the connection pool. +#: All custom key schemes should include the fields in this key at a minimum. +PoolKey = collections.namedtuple('PoolKey', _key_fields) + + +def _default_key_normalizer(key_class, request_context): + """ + Create a pool key out of a request context dictionary. + + According to RFC 3986, both the scheme and host are case-insensitive. + Therefore, this function normalizes both before constructing the pool + key for an HTTPS request. If you wish to change this behaviour, provide + alternate callables to ``key_fn_by_scheme``. + + :param key_class: + The class to use when constructing the key. This should be a namedtuple + with the ``scheme`` and ``host`` keys at a minimum. + :type key_class: namedtuple + :param request_context: + A dictionary-like object that contain the context for a request. + :type request_context: dict + + :return: A namedtuple that can be used as a connection pool key. + :rtype: PoolKey + """ + # Since we mutate the dictionary, make a copy first + context = request_context.copy() + context['scheme'] = context['scheme'].lower() + context['host'] = context['host'].lower() + + # These are both dictionaries and need to be transformed into frozensets + for key in ('headers', '_proxy_headers', '_socks_options'): + if key in context and context[key] is not None: + context[key] = frozenset(context[key].items()) + + # The socket_options key may be a list and needs to be transformed into a + # tuple. + socket_opts = context.get('socket_options') + if socket_opts is not None: + context['socket_options'] = tuple(socket_opts) + + # Map the kwargs to the names in the namedtuple - this is necessary since + # namedtuples can't have fields starting with '_'. + for key in list(context.keys()): + context['key_' + key] = context.pop(key) + + # Default to ``None`` for keys missing from the context + for field in key_class._fields: + if field not in context: + context[field] = None + + return key_class(**context) + + +#: A dictionary that maps a scheme to a callable that creates a pool key. +#: This can be used to alter the way pool keys are constructed, if desired. +#: Each PoolManager makes a copy of this dictionary so they can be configured +#: globally here, or individually on the instance. +key_fn_by_scheme = { + 'http': functools.partial(_default_key_normalizer, PoolKey), + 'https': functools.partial(_default_key_normalizer, PoolKey), +} + +pool_classes_by_scheme = { + 'http': HTTPConnectionPool, + 'https': HTTPSConnectionPool, +} + + +class PoolManager(RequestMethods): + """ + Allows for arbitrary requests while transparently keeping track of + necessary connection pools for you. + + :param num_pools: + Number of connection pools to cache before discarding the least + recently used pool. + + :param headers: + Headers to include with all requests, unless other headers are given + explicitly. + + :param \\**connection_pool_kw: + Additional parameters are used to create fresh + :class:`urllib3.connectionpool.ConnectionPool` instances. + + Example:: + + >>> manager = PoolManager(num_pools=2) + >>> r = manager.request('GET', 'http://google.com/') + >>> r = manager.request('GET', 'http://google.com/mail') + >>> r = manager.request('GET', 'http://yahoo.com/') + >>> len(manager.pools) + 2 + + """ + + proxy = None + + def __init__(self, num_pools=10, headers=None, **connection_pool_kw): + RequestMethods.__init__(self, headers) + self.connection_pool_kw = connection_pool_kw + self.pools = RecentlyUsedContainer(num_pools, + dispose_func=lambda p: p.close()) + + # Locally set the pool classes and keys so other PoolManagers can + # override them. + self.pool_classes_by_scheme = pool_classes_by_scheme + self.key_fn_by_scheme = key_fn_by_scheme.copy() + + def __enter__(self): + return self + + def __exit__(self, exc_type, exc_val, exc_tb): + self.clear() + # Return False to re-raise any potential exceptions + return False + + def _new_pool(self, scheme, host, port, request_context=None): + """ + Create a new :class:`ConnectionPool` based on host, port, scheme, and + any additional pool keyword arguments. + + If ``request_context`` is provided, it is provided as keyword arguments + to the pool class used. This method is used to actually create the + connection pools handed out by :meth:`connection_from_url` and + companion methods. It is intended to be overridden for customization. + """ + pool_cls = self.pool_classes_by_scheme[scheme] + if request_context is None: + request_context = self.connection_pool_kw.copy() + + # Although the context has everything necessary to create the pool, + # this function has historically only used the scheme, host, and port + # in the positional args. When an API change is acceptable these can + # be removed. + for key in ('scheme', 'host', 'port'): + request_context.pop(key, None) + + if scheme == 'http': + for kw in SSL_KEYWORDS: + request_context.pop(kw, None) + + return pool_cls(host, port, **request_context) + + def clear(self): + """ + Empty our store of pools and direct them all to close. + + This will not affect in-flight connections, but they will not be + re-used after completion. + """ + self.pools.clear() + + def connection_from_host(self, host, port=None, scheme='http', pool_kwargs=None): + """ + Get a :class:`ConnectionPool` based on the host, port, and scheme. + + If ``port`` isn't given, it will be derived from the ``scheme`` using + ``urllib3.connectionpool.port_by_scheme``. If ``pool_kwargs`` is + provided, it is merged with the instance's ``connection_pool_kw`` + variable and used to create the new connection pool, if one is + needed. + """ + + if not host: + raise LocationValueError("No host specified.") + + request_context = self._merge_pool_kwargs(pool_kwargs) + request_context['scheme'] = scheme or 'http' + if not port: + port = port_by_scheme.get(request_context['scheme'].lower(), 80) + request_context['port'] = port + request_context['host'] = host + + return self.connection_from_context(request_context) + + def connection_from_context(self, request_context): + """ + Get a :class:`ConnectionPool` based on the request context. + + ``request_context`` must at least contain the ``scheme`` key and its + value must be a key in ``key_fn_by_scheme`` instance variable. + """ + scheme = request_context['scheme'].lower() + pool_key_constructor = self.key_fn_by_scheme[scheme] + pool_key = pool_key_constructor(request_context) + + return self.connection_from_pool_key(pool_key, request_context=request_context) + + def connection_from_pool_key(self, pool_key, request_context=None): + """ + Get a :class:`ConnectionPool` based on the provided pool key. + + ``pool_key`` should be a namedtuple that only contains immutable + objects. At a minimum it must have the ``scheme``, ``host``, and + ``port`` fields. + """ + with self.pools.lock: + # If the scheme, host, or port doesn't match existing open + # connections, open a new ConnectionPool. + pool = self.pools.get(pool_key) + if pool: + return pool + + # Make a fresh ConnectionPool of the desired type + scheme = request_context['scheme'] + host = request_context['host'] + port = request_context['port'] + pool = self._new_pool(scheme, host, port, request_context=request_context) + self.pools[pool_key] = pool + + return pool + + def connection_from_url(self, url, pool_kwargs=None): + """ + Similar to :func:`urllib3.connectionpool.connection_from_url`. + + If ``pool_kwargs`` is not provided and a new pool needs to be + constructed, ``self.connection_pool_kw`` is used to initialize + the :class:`urllib3.connectionpool.ConnectionPool`. If ``pool_kwargs`` + is provided, it is used instead. Note that if a new pool does not + need to be created for the request, the provided ``pool_kwargs`` are + not used. + """ + u = parse_url(url) + return self.connection_from_host(u.host, port=u.port, scheme=u.scheme, + pool_kwargs=pool_kwargs) + + def _merge_pool_kwargs(self, override): + """ + Merge a dictionary of override values for self.connection_pool_kw. + + This does not modify self.connection_pool_kw and returns a new dict. + Any keys in the override dictionary with a value of ``None`` are + removed from the merged dictionary. + """ + base_pool_kwargs = self.connection_pool_kw.copy() + if override: + for key, value in override.items(): + if value is None: + try: + del base_pool_kwargs[key] + except KeyError: + pass + else: + base_pool_kwargs[key] = value + return base_pool_kwargs + + def urlopen(self, method, url, redirect=True, **kw): + """ + Same as :meth:`urllib3.connectionpool.HTTPConnectionPool.urlopen` + with custom cross-host redirect logic and only sends the request-uri + portion of the ``url``. + + The given ``url`` parameter must be absolute, such that an appropriate + :class:`urllib3.connectionpool.ConnectionPool` can be chosen for it. + """ + u = parse_url(url) + conn = self.connection_from_host(u.host, port=u.port, scheme=u.scheme) + + kw['assert_same_host'] = False + kw['redirect'] = False + + if 'headers' not in kw: + kw['headers'] = self.headers.copy() + + if self.proxy is not None and u.scheme == "http": + response = conn.urlopen(method, url, **kw) + else: + response = conn.urlopen(method, u.request_uri, **kw) + + redirect_location = redirect and response.get_redirect_location() + if not redirect_location: + return response + + # Support relative URLs for redirecting. + redirect_location = urljoin(url, redirect_location) + + # RFC 7231, Section 6.4.4 + if response.status == 303: + method = 'GET' + + retries = kw.get('retries') + if not isinstance(retries, Retry): + retries = Retry.from_int(retries, redirect=redirect) + + # Strip headers marked as unsafe to forward to the redirected location. + # Check remove_headers_on_redirect to avoid a potential network call within + # conn.is_same_host() which may use socket.gethostbyname() in the future. + if (retries.remove_headers_on_redirect + and not conn.is_same_host(redirect_location)): + headers = list(six.iterkeys(kw['headers'])) + for header in headers: + if header.lower() in retries.remove_headers_on_redirect: + kw['headers'].pop(header, None) + + try: + retries = retries.increment(method, url, response=response, _pool=conn) + except MaxRetryError: + if retries.raise_on_redirect: + raise + return response + + kw['retries'] = retries + kw['redirect'] = redirect + + log.info("Redirecting %s -> %s", url, redirect_location) + return self.urlopen(method, redirect_location, **kw) + + +class ProxyManager(PoolManager): + """ + Behaves just like :class:`PoolManager`, but sends all requests through + the defined proxy, using the CONNECT method for HTTPS URLs. + + :param proxy_url: + The URL of the proxy to be used. + + :param proxy_headers: + A dictionary containing headers that will be sent to the proxy. In case + of HTTP they are being sent with each request, while in the + HTTPS/CONNECT case they are sent only once. Could be used for proxy + authentication. + + Example: + >>> proxy = urllib3.ProxyManager('http://localhost:3128/') + >>> r1 = proxy.request('GET', 'http://google.com/') + >>> r2 = proxy.request('GET', 'http://httpbin.org/') + >>> len(proxy.pools) + 1 + >>> r3 = proxy.request('GET', 'https://httpbin.org/') + >>> r4 = proxy.request('GET', 'https://twitter.com/') + >>> len(proxy.pools) + 3 + + """ + + def __init__(self, proxy_url, num_pools=10, headers=None, + proxy_headers=None, **connection_pool_kw): + + if isinstance(proxy_url, HTTPConnectionPool): + proxy_url = '%s://%s:%i' % (proxy_url.scheme, proxy_url.host, + proxy_url.port) + proxy = parse_url(proxy_url) + if not proxy.port: + port = port_by_scheme.get(proxy.scheme, 80) + proxy = proxy._replace(port=port) + + if proxy.scheme not in ("http", "https"): + raise ProxySchemeUnknown(proxy.scheme) + + self.proxy = proxy + self.proxy_headers = proxy_headers or {} + + connection_pool_kw['_proxy'] = self.proxy + connection_pool_kw['_proxy_headers'] = self.proxy_headers + + super(ProxyManager, self).__init__( + num_pools, headers, **connection_pool_kw) + + def connection_from_host(self, host, port=None, scheme='http', pool_kwargs=None): + if scheme == "https": + return super(ProxyManager, self).connection_from_host( + host, port, scheme, pool_kwargs=pool_kwargs) + + return super(ProxyManager, self).connection_from_host( + self.proxy.host, self.proxy.port, self.proxy.scheme, pool_kwargs=pool_kwargs) + + def _set_proxy_headers(self, url, headers=None): + """ + Sets headers needed by proxies: specifically, the Accept and Host + headers. Only sets headers not provided by the user. + """ + headers_ = {'Accept': '*/*'} + + netloc = parse_url(url).netloc + if netloc: + headers_['Host'] = netloc + + if headers: + headers_.update(headers) + return headers_ + + def urlopen(self, method, url, redirect=True, **kw): + "Same as HTTP(S)ConnectionPool.urlopen, ``url`` must be absolute." + u = parse_url(url) + + if u.scheme == "http": + # For proxied HTTPS requests, httplib sets the necessary headers + # on the CONNECT to the proxy. For HTTP, we'll definitely + # need to set 'Host' at the very least. + headers = kw.get('headers', self.headers) + kw['headers'] = self._set_proxy_headers(url, headers) + + return super(ProxyManager, self).urlopen(method, url, redirect=redirect, **kw) + + +def proxy_from_url(url, **kw): + return ProxyManager(proxy_url=url, **kw) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/request.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/request.py new file mode 100644 index 0000000000000000000000000000000000000000..8f2f44bb2110a0017a0baa10aed5d8e175b7f7db --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/request.py @@ -0,0 +1,150 @@ +from __future__ import absolute_import + +from .filepost import encode_multipart_formdata +from .packages.six.moves.urllib.parse import urlencode + + +__all__ = ['RequestMethods'] + + +class RequestMethods(object): + """ + Convenience mixin for classes who implement a :meth:`urlopen` method, such + as :class:`~urllib3.connectionpool.HTTPConnectionPool` and + :class:`~urllib3.poolmanager.PoolManager`. + + Provides behavior for making common types of HTTP request methods and + decides which type of request field encoding to use. + + Specifically, + + :meth:`.request_encode_url` is for sending requests whose fields are + encoded in the URL (such as GET, HEAD, DELETE). + + :meth:`.request_encode_body` is for sending requests whose fields are + encoded in the *body* of the request using multipart or www-form-urlencoded + (such as for POST, PUT, PATCH). + + :meth:`.request` is for making any kind of request, it will look up the + appropriate encoding format and use one of the above two methods to make + the request. + + Initializer parameters: + + :param headers: + Headers to include with all requests, unless other headers are given + explicitly. + """ + + _encode_url_methods = {'DELETE', 'GET', 'HEAD', 'OPTIONS'} + + def __init__(self, headers=None): + self.headers = headers or {} + + def urlopen(self, method, url, body=None, headers=None, + encode_multipart=True, multipart_boundary=None, + **kw): # Abstract + raise NotImplementedError("Classes extending RequestMethods must implement " + "their own ``urlopen`` method.") + + def request(self, method, url, fields=None, headers=None, **urlopen_kw): + """ + Make a request using :meth:`urlopen` with the appropriate encoding of + ``fields`` based on the ``method`` used. + + This is a convenience method that requires the least amount of manual + effort. It can be used in most situations, while still having the + option to drop down to more specific methods when necessary, such as + :meth:`request_encode_url`, :meth:`request_encode_body`, + or even the lowest level :meth:`urlopen`. + """ + method = method.upper() + + urlopen_kw['request_url'] = url + + if method in self._encode_url_methods: + return self.request_encode_url(method, url, fields=fields, + headers=headers, + **urlopen_kw) + else: + return self.request_encode_body(method, url, fields=fields, + headers=headers, + **urlopen_kw) + + def request_encode_url(self, method, url, fields=None, headers=None, + **urlopen_kw): + """ + Make a request using :meth:`urlopen` with the ``fields`` encoded in + the url. This is useful for request methods like GET, HEAD, DELETE, etc. + """ + if headers is None: + headers = self.headers + + extra_kw = {'headers': headers} + extra_kw.update(urlopen_kw) + + if fields: + url += '?' + urlencode(fields) + + return self.urlopen(method, url, **extra_kw) + + def request_encode_body(self, method, url, fields=None, headers=None, + encode_multipart=True, multipart_boundary=None, + **urlopen_kw): + """ + Make a request using :meth:`urlopen` with the ``fields`` encoded in + the body. This is useful for request methods like POST, PUT, PATCH, etc. + + When ``encode_multipart=True`` (default), then + :meth:`urllib3.filepost.encode_multipart_formdata` is used to encode + the payload with the appropriate content type. Otherwise + :meth:`urllib.urlencode` is used with the + 'application/x-www-form-urlencoded' content type. + + Multipart encoding must be used when posting files, and it's reasonably + safe to use it in other times too. However, it may break request + signing, such as with OAuth. + + Supports an optional ``fields`` parameter of key/value strings AND + key/filetuple. A filetuple is a (filename, data, MIME type) tuple where + the MIME type is optional. For example:: + + fields = { + 'foo': 'bar', + 'fakefile': ('foofile.txt', 'contents of foofile'), + 'realfile': ('barfile.txt', open('realfile').read()), + 'typedfile': ('bazfile.bin', open('bazfile').read(), + 'image/jpeg'), + 'nonamefile': 'contents of nonamefile field', + } + + When uploading a file, providing a filename (the first parameter of the + tuple) is optional but recommended to best mimic behavior of browsers. + + Note that if ``headers`` are supplied, the 'Content-Type' header will + be overwritten because it depends on the dynamic random boundary string + which is used to compose the body of the request. The random boundary + string can be explicitly set with the ``multipart_boundary`` parameter. + """ + if headers is None: + headers = self.headers + + extra_kw = {'headers': {}} + + if fields: + if 'body' in urlopen_kw: + raise TypeError( + "request got values for both 'fields' and 'body', can only specify one.") + + if encode_multipart: + body, content_type = encode_multipart_formdata(fields, boundary=multipart_boundary) + else: + body, content_type = urlencode(fields), 'application/x-www-form-urlencoded' + + extra_kw['body'] = body + extra_kw['headers'] = {'Content-Type': content_type} + + extra_kw['headers'].update(headers) + extra_kw.update(urlopen_kw) + + return self.urlopen(method, url, **extra_kw) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py new file mode 100644 index 0000000000000000000000000000000000000000..4f857932c54fdb069de457444d94699ba8b067d3 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/response.py @@ -0,0 +1,760 @@ +from __future__ import absolute_import +from contextlib import contextmanager +import zlib +import io +import logging +from socket import timeout as SocketTimeout +from socket import error as SocketError + +try: + import brotli +except ImportError: + brotli = None + +from ._collections import HTTPHeaderDict +from .exceptions import ( + BodyNotHttplibCompatible, ProtocolError, DecodeError, ReadTimeoutError, + ResponseNotChunked, IncompleteRead, InvalidHeader +) +from .packages.six import string_types as basestring, PY3 +from .packages.six.moves import http_client as httplib +from .connection import HTTPException, BaseSSLError +from .util.response import is_fp_closed, is_response_to_head + +log = logging.getLogger(__name__) + + +class DeflateDecoder(object): + + def __init__(self): + self._first_try = True + self._data = b'' + self._obj = zlib.decompressobj() + + def __getattr__(self, name): + return getattr(self._obj, name) + + def decompress(self, data): + if not data: + return data + + if not self._first_try: + return self._obj.decompress(data) + + self._data += data + try: + decompressed = self._obj.decompress(data) + if decompressed: + self._first_try = False + self._data = None + return decompressed + except zlib.error: + self._first_try = False + self._obj = zlib.decompressobj(-zlib.MAX_WBITS) + try: + return self.decompress(self._data) + finally: + self._data = None + + +class GzipDecoderState(object): + + FIRST_MEMBER = 0 + OTHER_MEMBERS = 1 + SWALLOW_DATA = 2 + + +class GzipDecoder(object): + + def __init__(self): + self._obj = zlib.decompressobj(16 + zlib.MAX_WBITS) + self._state = GzipDecoderState.FIRST_MEMBER + + def __getattr__(self, name): + return getattr(self._obj, name) + + def decompress(self, data): + ret = bytearray() + if self._state == GzipDecoderState.SWALLOW_DATA or not data: + return bytes(ret) + while True: + try: + ret += self._obj.decompress(data) + except zlib.error: + previous_state = self._state + # Ignore data after the first error + self._state = GzipDecoderState.SWALLOW_DATA + if previous_state == GzipDecoderState.OTHER_MEMBERS: + # Allow trailing garbage acceptable in other gzip clients + return bytes(ret) + raise + data = self._obj.unused_data + if not data: + return bytes(ret) + self._state = GzipDecoderState.OTHER_MEMBERS + self._obj = zlib.decompressobj(16 + zlib.MAX_WBITS) + + +if brotli is not None: + class BrotliDecoder(object): + # Supports both 'brotlipy' and 'Brotli' packages + # since they share an import name. The top branches + # are for 'brotlipy' and bottom branches for 'Brotli' + def __init__(self): + self._obj = brotli.Decompressor() + + def decompress(self, data): + if hasattr(self._obj, 'decompress'): + return self._obj.decompress(data) + return self._obj.process(data) + + def flush(self): + if hasattr(self._obj, 'flush'): + return self._obj.flush() + return b'' + + +class MultiDecoder(object): + """ + From RFC7231: + If one or more encodings have been applied to a representation, the + sender that applied the encodings MUST generate a Content-Encoding + header field that lists the content codings in the order in which + they were applied. + """ + + def __init__(self, modes): + self._decoders = [_get_decoder(m.strip()) for m in modes.split(',')] + + def flush(self): + return self._decoders[0].flush() + + def decompress(self, data): + for d in reversed(self._decoders): + data = d.decompress(data) + return data + + +def _get_decoder(mode): + if ',' in mode: + return MultiDecoder(mode) + + if mode == 'gzip': + return GzipDecoder() + + if brotli is not None and mode == 'br': + return BrotliDecoder() + + return DeflateDecoder() + + +class HTTPResponse(io.IOBase): + """ + HTTP Response container. + + Backwards-compatible to httplib's HTTPResponse but the response ``body`` is + loaded and decoded on-demand when the ``data`` property is accessed. This + class is also compatible with the Python standard library's :mod:`io` + module, and can hence be treated as a readable object in the context of that + framework. + + Extra parameters for behaviour not present in httplib.HTTPResponse: + + :param preload_content: + If True, the response's body will be preloaded during construction. + + :param decode_content: + If True, will attempt to decode the body based on the + 'content-encoding' header. + + :param original_response: + When this HTTPResponse wrapper is generated from an httplib.HTTPResponse + object, it's convenient to include the original for debug purposes. It's + otherwise unused. + + :param retries: + The retries contains the last :class:`~urllib3.util.retry.Retry` that + was used during the request. + + :param enforce_content_length: + Enforce content length checking. Body returned by server must match + value of Content-Length header, if present. Otherwise, raise error. + """ + + CONTENT_DECODERS = ['gzip', 'deflate'] + if brotli is not None: + CONTENT_DECODERS += ['br'] + REDIRECT_STATUSES = [301, 302, 303, 307, 308] + + def __init__(self, body='', headers=None, status=0, version=0, reason=None, + strict=0, preload_content=True, decode_content=True, + original_response=None, pool=None, connection=None, msg=None, + retries=None, enforce_content_length=False, + request_method=None, request_url=None): + + if isinstance(headers, HTTPHeaderDict): + self.headers = headers + else: + self.headers = HTTPHeaderDict(headers) + self.status = status + self.version = version + self.reason = reason + self.strict = strict + self.decode_content = decode_content + self.retries = retries + self.enforce_content_length = enforce_content_length + + self._decoder = None + self._body = None + self._fp = None + self._original_response = original_response + self._fp_bytes_read = 0 + self.msg = msg + self._request_url = request_url + + if body and isinstance(body, (basestring, bytes)): + self._body = body + + self._pool = pool + self._connection = connection + + if hasattr(body, 'read'): + self._fp = body + + # Are we using the chunked-style of transfer encoding? + self.chunked = False + self.chunk_left = None + tr_enc = self.headers.get('transfer-encoding', '').lower() + # Don't incur the penalty of creating a list and then discarding it + encodings = (enc.strip() for enc in tr_enc.split(",")) + if "chunked" in encodings: + self.chunked = True + + # Determine length of response + self.length_remaining = self._init_length(request_method) + + # If requested, preload the body. + if preload_content and not self._body: + self._body = self.read(decode_content=decode_content) + + def get_redirect_location(self): + """ + Should we redirect and where to? + + :returns: Truthy redirect location string if we got a redirect status + code and valid location. ``None`` if redirect status and no + location. ``False`` if not a redirect status code. + """ + if self.status in self.REDIRECT_STATUSES: + return self.headers.get('location') + + return False + + def release_conn(self): + if not self._pool or not self._connection: + return + + self._pool._put_conn(self._connection) + self._connection = None + + @property + def data(self): + # For backwords-compat with earlier urllib3 0.4 and earlier. + if self._body: + return self._body + + if self._fp: + return self.read(cache_content=True) + + @property + def connection(self): + return self._connection + + def isclosed(self): + return is_fp_closed(self._fp) + + def tell(self): + """ + Obtain the number of bytes pulled over the wire so far. May differ from + the amount of content returned by :meth:``HTTPResponse.read`` if bytes + are encoded on the wire (e.g, compressed). + """ + return self._fp_bytes_read + + def _init_length(self, request_method): + """ + Set initial length value for Response content if available. + """ + length = self.headers.get('content-length') + + if length is not None: + if self.chunked: + # This Response will fail with an IncompleteRead if it can't be + # received as chunked. This method falls back to attempt reading + # the response before raising an exception. + log.warning("Received response with both Content-Length and " + "Transfer-Encoding set. This is expressly forbidden " + "by RFC 7230 sec 3.3.2. Ignoring Content-Length and " + "attempting to process response as Transfer-Encoding: " + "chunked.") + return None + + try: + # RFC 7230 section 3.3.2 specifies multiple content lengths can + # be sent in a single Content-Length header + # (e.g. Content-Length: 42, 42). This line ensures the values + # are all valid ints and that as long as the `set` length is 1, + # all values are the same. Otherwise, the header is invalid. + lengths = set([int(val) for val in length.split(',')]) + if len(lengths) > 1: + raise InvalidHeader("Content-Length contained multiple " + "unmatching values (%s)" % length) + length = lengths.pop() + except ValueError: + length = None + else: + if length < 0: + length = None + + # Convert status to int for comparison + # In some cases, httplib returns a status of "_UNKNOWN" + try: + status = int(self.status) + except ValueError: + status = 0 + + # Check for responses that shouldn't include a body + if status in (204, 304) or 100 <= status < 200 or request_method == 'HEAD': + length = 0 + + return length + + def _init_decoder(self): + """ + Set-up the _decoder attribute if necessary. + """ + # Note: content-encoding value should be case-insensitive, per RFC 7230 + # Section 3.2 + content_encoding = self.headers.get('content-encoding', '').lower() + if self._decoder is None: + if content_encoding in self.CONTENT_DECODERS: + self._decoder = _get_decoder(content_encoding) + elif ',' in content_encoding: + encodings = [ + e.strip() for e in content_encoding.split(',') + if e.strip() in self.CONTENT_DECODERS] + if len(encodings): + self._decoder = _get_decoder(content_encoding) + + DECODER_ERROR_CLASSES = (IOError, zlib.error) + if brotli is not None: + DECODER_ERROR_CLASSES += (brotli.error,) + + def _decode(self, data, decode_content, flush_decoder): + """ + Decode the data passed in and potentially flush the decoder. + """ + if not decode_content: + return data + + try: + if self._decoder: + data = self._decoder.decompress(data) + except self.DECODER_ERROR_CLASSES as e: + content_encoding = self.headers.get('content-encoding', '').lower() + raise DecodeError( + "Received response with content-encoding: %s, but " + "failed to decode it." % content_encoding, e) + if flush_decoder: + data += self._flush_decoder() + + return data + + def _flush_decoder(self): + """ + Flushes the decoder. Should only be called if the decoder is actually + being used. + """ + if self._decoder: + buf = self._decoder.decompress(b'') + return buf + self._decoder.flush() + + return b'' + + @contextmanager + def _error_catcher(self): + """ + Catch low-level python exceptions, instead re-raising urllib3 + variants, so that low-level exceptions are not leaked in the + high-level api. + + On exit, release the connection back to the pool. + """ + clean_exit = False + + try: + try: + yield + + except SocketTimeout: + # FIXME: Ideally we'd like to include the url in the ReadTimeoutError but + # there is yet no clean way to get at it from this context. + raise ReadTimeoutError(self._pool, None, 'Read timed out.') + + except BaseSSLError as e: + # FIXME: Is there a better way to differentiate between SSLErrors? + if 'read operation timed out' not in str(e): # Defensive: + # This shouldn't happen but just in case we're missing an edge + # case, let's avoid swallowing SSL errors. + raise + + raise ReadTimeoutError(self._pool, None, 'Read timed out.') + + except (HTTPException, SocketError) as e: + # This includes IncompleteRead. + raise ProtocolError('Connection broken: %r' % e, e) + + # If no exception is thrown, we should avoid cleaning up + # unnecessarily. + clean_exit = True + finally: + # If we didn't terminate cleanly, we need to throw away our + # connection. + if not clean_exit: + # The response may not be closed but we're not going to use it + # anymore so close it now to ensure that the connection is + # released back to the pool. + if self._original_response: + self._original_response.close() + + # Closing the response may not actually be sufficient to close + # everything, so if we have a hold of the connection close that + # too. + if self._connection: + self._connection.close() + + # If we hold the original response but it's closed now, we should + # return the connection back to the pool. + if self._original_response and self._original_response.isclosed(): + self.release_conn() + + def read(self, amt=None, decode_content=None, cache_content=False): + """ + Similar to :meth:`httplib.HTTPResponse.read`, but with two additional + parameters: ``decode_content`` and ``cache_content``. + + :param amt: + How much of the content to read. If specified, caching is skipped + because it doesn't make sense to cache partial content as the full + response. + + :param decode_content: + If True, will attempt to decode the body based on the + 'content-encoding' header. + + :param cache_content: + If True, will save the returned data such that the same result is + returned despite of the state of the underlying file object. This + is useful if you want the ``.data`` property to continue working + after having ``.read()`` the file object. (Overridden if ``amt`` is + set.) + """ + self._init_decoder() + if decode_content is None: + decode_content = self.decode_content + + if self._fp is None: + return + + flush_decoder = False + data = None + + with self._error_catcher(): + if amt is None: + # cStringIO doesn't like amt=None + data = self._fp.read() + flush_decoder = True + else: + cache_content = False + data = self._fp.read(amt) + if amt != 0 and not data: # Platform-specific: Buggy versions of Python. + # Close the connection when no data is returned + # + # This is redundant to what httplib/http.client _should_ + # already do. However, versions of python released before + # December 15, 2012 (http://bugs.python.org/issue16298) do + # not properly close the connection in all cases. There is + # no harm in redundantly calling close. + self._fp.close() + flush_decoder = True + if self.enforce_content_length and self.length_remaining not in (0, None): + # This is an edge case that httplib failed to cover due + # to concerns of backward compatibility. We're + # addressing it here to make sure IncompleteRead is + # raised during streaming, so all calls with incorrect + # Content-Length are caught. + raise IncompleteRead(self._fp_bytes_read, self.length_remaining) + + if data: + self._fp_bytes_read += len(data) + if self.length_remaining is not None: + self.length_remaining -= len(data) + + data = self._decode(data, decode_content, flush_decoder) + + if cache_content: + self._body = data + + return data + + def stream(self, amt=2**16, decode_content=None): + """ + A generator wrapper for the read() method. A call will block until + ``amt`` bytes have been read from the connection or until the + connection is closed. + + :param amt: + How much of the content to read. The generator will return up to + much data per iteration, but may return less. This is particularly + likely when using compressed data. However, the empty string will + never be returned. + + :param decode_content: + If True, will attempt to decode the body based on the + 'content-encoding' header. + """ + if self.chunked and self.supports_chunked_reads(): + for line in self.read_chunked(amt, decode_content=decode_content): + yield line + else: + while not is_fp_closed(self._fp): + data = self.read(amt=amt, decode_content=decode_content) + + if data: + yield data + + @classmethod + def from_httplib(ResponseCls, r, **response_kw): + """ + Given an :class:`httplib.HTTPResponse` instance ``r``, return a + corresponding :class:`urllib3.response.HTTPResponse` object. + + Remaining parameters are passed to the HTTPResponse constructor, along + with ``original_response=r``. + """ + headers = r.msg + + if not isinstance(headers, HTTPHeaderDict): + if PY3: + headers = HTTPHeaderDict(headers.items()) + else: + # Python 2.7 + headers = HTTPHeaderDict.from_httplib(headers) + + # HTTPResponse objects in Python 3 don't have a .strict attribute + strict = getattr(r, 'strict', 0) + resp = ResponseCls(body=r, + headers=headers, + status=r.status, + version=r.version, + reason=r.reason, + strict=strict, + original_response=r, + **response_kw) + return resp + + # Backwards-compatibility methods for httplib.HTTPResponse + def getheaders(self): + return self.headers + + def getheader(self, name, default=None): + return self.headers.get(name, default) + + # Backwards compatibility for http.cookiejar + def info(self): + return self.headers + + # Overrides from io.IOBase + def close(self): + if not self.closed: + self._fp.close() + + if self._connection: + self._connection.close() + + @property + def closed(self): + if self._fp is None: + return True + elif hasattr(self._fp, 'isclosed'): + return self._fp.isclosed() + elif hasattr(self._fp, 'closed'): + return self._fp.closed + else: + return True + + def fileno(self): + if self._fp is None: + raise IOError("HTTPResponse has no file to get a fileno from") + elif hasattr(self._fp, "fileno"): + return self._fp.fileno() + else: + raise IOError("The file-like object this HTTPResponse is wrapped " + "around has no file descriptor") + + def flush(self): + if self._fp is not None and hasattr(self._fp, 'flush'): + return self._fp.flush() + + def readable(self): + # This method is required for `io` module compatibility. + return True + + def readinto(self, b): + # This method is required for `io` module compatibility. + temp = self.read(len(b)) + if len(temp) == 0: + return 0 + else: + b[:len(temp)] = temp + return len(temp) + + def supports_chunked_reads(self): + """ + Checks if the underlying file-like object looks like a + httplib.HTTPResponse object. We do this by testing for the fp + attribute. If it is present we assume it returns raw chunks as + processed by read_chunked(). + """ + return hasattr(self._fp, 'fp') + + def _update_chunk_length(self): + # First, we'll figure out length of a chunk and then + # we'll try to read it from socket. + if self.chunk_left is not None: + return + line = self._fp.fp.readline() + line = line.split(b';', 1)[0] + try: + self.chunk_left = int(line, 16) + except ValueError: + # Invalid chunked protocol response, abort. + self.close() + raise httplib.IncompleteRead(line) + + def _handle_chunk(self, amt): + returned_chunk = None + if amt is None: + chunk = self._fp._safe_read(self.chunk_left) + returned_chunk = chunk + self._fp._safe_read(2) # Toss the CRLF at the end of the chunk. + self.chunk_left = None + elif amt < self.chunk_left: + value = self._fp._safe_read(amt) + self.chunk_left = self.chunk_left - amt + returned_chunk = value + elif amt == self.chunk_left: + value = self._fp._safe_read(amt) + self._fp._safe_read(2) # Toss the CRLF at the end of the chunk. + self.chunk_left = None + returned_chunk = value + else: # amt > self.chunk_left + returned_chunk = self._fp._safe_read(self.chunk_left) + self._fp._safe_read(2) # Toss the CRLF at the end of the chunk. + self.chunk_left = None + return returned_chunk + + def read_chunked(self, amt=None, decode_content=None): + """ + Similar to :meth:`HTTPResponse.read`, but with an additional + parameter: ``decode_content``. + + :param amt: + How much of the content to read. If specified, caching is skipped + because it doesn't make sense to cache partial content as the full + response. + + :param decode_content: + If True, will attempt to decode the body based on the + 'content-encoding' header. + """ + self._init_decoder() + # FIXME: Rewrite this method and make it a class with a better structured logic. + if not self.chunked: + raise ResponseNotChunked( + "Response is not chunked. " + "Header 'transfer-encoding: chunked' is missing.") + if not self.supports_chunked_reads(): + raise BodyNotHttplibCompatible( + "Body should be httplib.HTTPResponse like. " + "It should have have an fp attribute which returns raw chunks.") + + with self._error_catcher(): + # Don't bother reading the body of a HEAD request. + if self._original_response and is_response_to_head(self._original_response): + self._original_response.close() + return + + # If a response is already read and closed + # then return immediately. + if self._fp.fp is None: + return + + while True: + self._update_chunk_length() + if self.chunk_left == 0: + break + chunk = self._handle_chunk(amt) + decoded = self._decode(chunk, decode_content=decode_content, + flush_decoder=False) + if decoded: + yield decoded + + if decode_content: + # On CPython and PyPy, we should never need to flush the + # decoder. However, on Jython we *might* need to, so + # lets defensively do it anyway. + decoded = self._flush_decoder() + if decoded: # Platform-specific: Jython. + yield decoded + + # Chunk content ends with \r\n: discard it. + while True: + line = self._fp.fp.readline() + if not line: + # Some sites may not end with '\r\n'. + break + if line == b'\r\n': + break + + # We read everything; close the "file". + if self._original_response: + self._original_response.close() + + def geturl(self): + """ + Returns the URL that was the source of this response. + If the request that generated this response redirected, this method + will return the final redirect location. + """ + if self.retries is not None and len(self.retries.history): + return self.retries.history[-1].redirect_location + else: + return self._request_url + + def __iter__(self): + buffer = [b""] + for chunk in self.stream(decode_content=True): + if b"\n" in chunk: + chunk = chunk.split(b"\n") + yield b"".join(buffer) + chunk[0] + b"\n" + for x in chunk[1:-1]: + yield x + b"\n" + if chunk[-1]: + buffer = [chunk[-1]] + else: + buffer = [] + else: + buffer.append(chunk) + if buffer: + yield b"".join(buffer) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/__init__.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..2914bb468be9b18d9e5b350d46243e375c9bbcfc --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/__init__.py @@ -0,0 +1,56 @@ +from __future__ import absolute_import +# For backwards compatibility, provide imports that used to be here. +from .connection import is_connection_dropped +from .request import make_headers +from .response import is_fp_closed +from .ssl_ import ( + SSLContext, + HAS_SNI, + IS_PYOPENSSL, + IS_SECURETRANSPORT, + assert_fingerprint, + resolve_cert_reqs, + resolve_ssl_version, + ssl_wrap_socket, + PROTOCOL_TLS, +) +from .timeout import ( + current_time, + Timeout, +) + +from .retry import Retry +from .url import ( + get_host, + parse_url, + split_first, + Url, +) +from .wait import ( + wait_for_read, + wait_for_write +) + +__all__ = ( + 'HAS_SNI', + 'IS_PYOPENSSL', + 'IS_SECURETRANSPORT', + 'SSLContext', + 'PROTOCOL_TLS', + 'Retry', + 'Timeout', + 'Url', + 'assert_fingerprint', + 'current_time', + 'is_connection_dropped', + 'is_fp_closed', + 'get_host', + 'parse_url', + 'make_headers', + 'resolve_cert_reqs', + 'resolve_ssl_version', + 'split_first', + 'ssl_wrap_socket', + 'wait_for_read', + 'wait_for_write' +) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/connection.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/connection.py new file mode 100644 index 0000000000000000000000000000000000000000..5ad70b2f1ca8e575088626a345fd66fc3746f99c --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/connection.py @@ -0,0 +1,134 @@ +from __future__ import absolute_import +import socket +from .wait import NoWayToWaitForSocketError, wait_for_read +from ..contrib import _appengine_environ + + +def is_connection_dropped(conn): # Platform-specific + """ + Returns True if the connection is dropped and should be closed. + + :param conn: + :class:`httplib.HTTPConnection` object. + + Note: For platforms like AppEngine, this will always return ``False`` to + let the platform handle connection recycling transparently for us. + """ + sock = getattr(conn, 'sock', False) + if sock is False: # Platform-specific: AppEngine + return False + if sock is None: # Connection already closed (such as by httplib). + return True + try: + # Returns True if readable, which here means it's been dropped + return wait_for_read(sock, timeout=0.0) + except NoWayToWaitForSocketError: # Platform-specific: AppEngine + return False + + +# This function is copied from socket.py in the Python 2.7 standard +# library test suite. Added to its signature is only `socket_options`. +# One additional modification is that we avoid binding to IPv6 servers +# discovered in DNS if the system doesn't have IPv6 functionality. +def create_connection(address, timeout=socket._GLOBAL_DEFAULT_TIMEOUT, + source_address=None, socket_options=None): + """Connect to *address* and return the socket object. + + Convenience function. Connect to *address* (a 2-tuple ``(host, + port)``) and return the socket object. Passing the optional + *timeout* parameter will set the timeout on the socket instance + before attempting to connect. If no *timeout* is supplied, the + global default timeout setting returned by :func:`getdefaulttimeout` + is used. If *source_address* is set it must be a tuple of (host, port) + for the socket to bind as a source address before making the connection. + An host of '' or port 0 tells the OS to use the default. + """ + + host, port = address + if host.startswith('['): + host = host.strip('[]') + err = None + + # Using the value from allowed_gai_family() in the context of getaddrinfo lets + # us select whether to work with IPv4 DNS records, IPv6 records, or both. + # The original create_connection function always returns all records. + family = allowed_gai_family() + + for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM): + af, socktype, proto, canonname, sa = res + sock = None + try: + sock = socket.socket(af, socktype, proto) + + # If provided, set socket level options before connecting. + _set_socket_options(sock, socket_options) + + if timeout is not socket._GLOBAL_DEFAULT_TIMEOUT: + sock.settimeout(timeout) + if source_address: + sock.bind(source_address) + sock.connect(sa) + return sock + + except socket.error as e: + err = e + if sock is not None: + sock.close() + sock = None + + if err is not None: + raise err + + raise socket.error("getaddrinfo returns an empty list") + + +def _set_socket_options(sock, options): + if options is None: + return + + for opt in options: + sock.setsockopt(*opt) + + +def allowed_gai_family(): + """This function is designed to work in the context of + getaddrinfo, where family=socket.AF_UNSPEC is the default and + will perform a DNS search for both IPv6 and IPv4 records.""" + + family = socket.AF_INET + if HAS_IPV6: + family = socket.AF_UNSPEC + return family + + +def _has_ipv6(host): + """ Returns True if the system can bind an IPv6 address. """ + sock = None + has_ipv6 = False + + # App Engine doesn't support IPV6 sockets and actually has a quota on the + # number of sockets that can be used, so just early out here instead of + # creating a socket needlessly. + # See https://github.com/urllib3/urllib3/issues/1446 + if _appengine_environ.is_appengine_sandbox(): + return False + + if socket.has_ipv6: + # has_ipv6 returns true if cPython was compiled with IPv6 support. + # It does not tell us if the system has IPv6 support enabled. To + # determine that we must bind to an IPv6 address. + # https://github.com/shazow/urllib3/pull/611 + # https://bugs.python.org/issue658327 + try: + sock = socket.socket(socket.AF_INET6) + sock.bind((host, 0)) + has_ipv6 = True + except Exception: + pass + + if sock: + sock.close() + return has_ipv6 + + +HAS_IPV6 = _has_ipv6('::1') diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/queue.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/queue.py new file mode 100644 index 0000000000000000000000000000000000000000..d3d379a19997b0c76c820a82e10b8fd36db9bea4 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/queue.py @@ -0,0 +1,21 @@ +import collections +from ..packages import six +from ..packages.six.moves import queue + +if six.PY2: + # Queue is imported for side effects on MS Windows. See issue #229. + import Queue as _unused_module_Queue # noqa: F401 + + +class LifoQueue(queue.Queue): + def _init(self, _): + self.queue = collections.deque() + + def _qsize(self, len=len): + return len(self.queue) + + def _put(self, item): + self.queue.append(item) + + def _get(self): + return self.queue.pop() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/request.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/request.py new file mode 100644 index 0000000000000000000000000000000000000000..280b8530c60bb43d9c941f8a15fada958cff5d43 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/request.py @@ -0,0 +1,125 @@ +from __future__ import absolute_import +from base64 import b64encode + +from ..packages.six import b, integer_types +from ..exceptions import UnrewindableBodyError + +ACCEPT_ENCODING = 'gzip,deflate' +try: + import brotli as _unused_module_brotli # noqa: F401 +except ImportError: + pass +else: + ACCEPT_ENCODING += ',br' + +_FAILEDTELL = object() + + +def make_headers(keep_alive=None, accept_encoding=None, user_agent=None, + basic_auth=None, proxy_basic_auth=None, disable_cache=None): + """ + Shortcuts for generating request headers. + + :param keep_alive: + If ``True``, adds 'connection: keep-alive' header. + + :param accept_encoding: + Can be a boolean, list, or string. + ``True`` translates to 'gzip,deflate'. + List will get joined by comma. + String will be used as provided. + + :param user_agent: + String representing the user-agent you want, such as + "python-urllib3/0.6" + + :param basic_auth: + Colon-separated username:password string for 'authorization: basic ...' + auth header. + + :param proxy_basic_auth: + Colon-separated username:password string for 'proxy-authorization: basic ...' + auth header. + + :param disable_cache: + If ``True``, adds 'cache-control: no-cache' header. + + Example:: + + >>> make_headers(keep_alive=True, user_agent="Batman/1.0") + {'connection': 'keep-alive', 'user-agent': 'Batman/1.0'} + >>> make_headers(accept_encoding=True) + {'accept-encoding': 'gzip,deflate'} + """ + headers = {} + if accept_encoding: + if isinstance(accept_encoding, str): + pass + elif isinstance(accept_encoding, list): + accept_encoding = ','.join(accept_encoding) + else: + accept_encoding = ACCEPT_ENCODING + headers['accept-encoding'] = accept_encoding + + if user_agent: + headers['user-agent'] = user_agent + + if keep_alive: + headers['connection'] = 'keep-alive' + + if basic_auth: + headers['authorization'] = 'Basic ' + \ + b64encode(b(basic_auth)).decode('utf-8') + + if proxy_basic_auth: + headers['proxy-authorization'] = 'Basic ' + \ + b64encode(b(proxy_basic_auth)).decode('utf-8') + + if disable_cache: + headers['cache-control'] = 'no-cache' + + return headers + + +def set_file_position(body, pos): + """ + If a position is provided, move file to that point. + Otherwise, we'll attempt to record a position for future use. + """ + if pos is not None: + rewind_body(body, pos) + elif getattr(body, 'tell', None) is not None: + try: + pos = body.tell() + except (IOError, OSError): + # This differentiates from None, allowing us to catch + # a failed `tell()` later when trying to rewind the body. + pos = _FAILEDTELL + + return pos + + +def rewind_body(body, body_pos): + """ + Attempt to rewind body to a certain position. + Primarily used for request redirects and retries. + + :param body: + File-like object that supports seek. + + :param int pos: + Position to seek to in file. + """ + body_seek = getattr(body, 'seek', None) + if body_seek is not None and isinstance(body_pos, integer_types): + try: + body_seek(body_pos) + except (IOError, OSError): + raise UnrewindableBodyError("An error occurred when rewinding request " + "body for redirect/retry.") + elif body_pos is _FAILEDTELL: + raise UnrewindableBodyError("Unable to record file position for rewinding " + "request body during a redirect/retry.") + else: + raise ValueError("body_pos must be of type integer, " + "instead it was %s." % type(body_pos)) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/response.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/response.py new file mode 100644 index 0000000000000000000000000000000000000000..3d5486485a647bc7f3ed75a184117abdbe55d733 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/response.py @@ -0,0 +1,87 @@ +from __future__ import absolute_import +from ..packages.six.moves import http_client as httplib + +from ..exceptions import HeaderParsingError + + +def is_fp_closed(obj): + """ + Checks whether a given file-like object is closed. + + :param obj: + The file-like object to check. + """ + + try: + # Check `isclosed()` first, in case Python3 doesn't set `closed`. + # GH Issue #928 + return obj.isclosed() + except AttributeError: + pass + + try: + # Check via the official file-like-object way. + return obj.closed + except AttributeError: + pass + + try: + # Check if the object is a container for another file-like object that + # gets released on exhaustion (e.g. HTTPResponse). + return obj.fp is None + except AttributeError: + pass + + raise ValueError("Unable to determine whether fp is closed.") + + +def assert_header_parsing(headers): + """ + Asserts whether all headers have been successfully parsed. + Extracts encountered errors from the result of parsing headers. + + Only works on Python 3. + + :param headers: Headers to verify. + :type headers: `httplib.HTTPMessage`. + + :raises urllib3.exceptions.HeaderParsingError: + If parsing errors are found. + """ + + # This will fail silently if we pass in the wrong kind of parameter. + # To make debugging easier add an explicit check. + if not isinstance(headers, httplib.HTTPMessage): + raise TypeError('expected httplib.Message, got {0}.'.format( + type(headers))) + + defects = getattr(headers, 'defects', None) + get_payload = getattr(headers, 'get_payload', None) + + unparsed_data = None + if get_payload: + # get_payload is actually email.message.Message.get_payload; + # we're only interested in the result if it's not a multipart message + if not headers.is_multipart(): + payload = get_payload() + + if isinstance(payload, (bytes, str)): + unparsed_data = payload + + if defects or unparsed_data: + raise HeaderParsingError(defects=defects, unparsed_data=unparsed_data) + + +def is_response_to_head(response): + """ + Checks whether the request of a response has been a HEAD-request. + Handles the quirks of AppEngine. + + :param conn: + :type conn: :class:`httplib.HTTPResponse` + """ + # FIXME: Can we do this somehow without accessing private httplib _method? + method = response._method + if isinstance(method, int): # Platform-specific: Appengine + return method == 3 + return method.upper() == 'HEAD' diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/ssl_.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/ssl_.py new file mode 100644 index 0000000000000000000000000000000000000000..fbdef65d76aac634b33d2b77abdfc705d77a3d8c --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/ssl_.py @@ -0,0 +1,392 @@ +from __future__ import absolute_import +import errno +import warnings +import hmac +import re + +from binascii import hexlify, unhexlify +from hashlib import md5, sha1, sha256 + +from ..exceptions import SSLError, InsecurePlatformWarning, SNIMissingWarning +from ..packages import six +from ..packages.rfc3986 import abnf_regexp + + +SSLContext = None +HAS_SNI = False +IS_PYOPENSSL = False +IS_SECURETRANSPORT = False + +# Maps the length of a digest to a possible hash function producing this digest +HASHFUNC_MAP = { + 32: md5, + 40: sha1, + 64: sha256, +} + + +def _const_compare_digest_backport(a, b): + """ + Compare two digests of equal length in constant time. + + The digests must be of type str/bytes. + Returns True if the digests match, and False otherwise. + """ + result = abs(len(a) - len(b)) + for l, r in zip(bytearray(a), bytearray(b)): + result |= l ^ r + return result == 0 + + +_const_compare_digest = getattr(hmac, 'compare_digest', + _const_compare_digest_backport) + +# Borrow rfc3986's regular expressions for IPv4 +# and IPv6 addresses for use in is_ipaddress() +_IP_ADDRESS_REGEX = re.compile( + r'^(?:%s|%s|%s)$' % ( + abnf_regexp.IPv4_RE, + abnf_regexp.IPv6_RE, + abnf_regexp.IPv6_ADDRZ_RFC4007_RE + ) +) + +try: # Test for SSL features + import ssl + from ssl import wrap_socket, CERT_REQUIRED + from ssl import HAS_SNI # Has SNI? +except ImportError: + pass + +try: # Platform-specific: Python 3.6 + from ssl import PROTOCOL_TLS + PROTOCOL_SSLv23 = PROTOCOL_TLS +except ImportError: + try: + from ssl import PROTOCOL_SSLv23 as PROTOCOL_TLS + PROTOCOL_SSLv23 = PROTOCOL_TLS + except ImportError: + PROTOCOL_SSLv23 = PROTOCOL_TLS = 2 + + +try: + from ssl import OP_NO_SSLv2, OP_NO_SSLv3, OP_NO_COMPRESSION +except ImportError: + OP_NO_SSLv2, OP_NO_SSLv3 = 0x1000000, 0x2000000 + OP_NO_COMPRESSION = 0x20000 + + +# A secure default. +# Sources for more information on TLS ciphers: +# +# - https://wiki.mozilla.org/Security/Server_Side_TLS +# - https://www.ssllabs.com/projects/best-practices/index.html +# - https://hynek.me/articles/hardening-your-web-servers-ssl-ciphers/ +# +# The general intent is: +# - prefer cipher suites that offer perfect forward secrecy (DHE/ECDHE), +# - prefer ECDHE over DHE for better performance, +# - prefer any AES-GCM and ChaCha20 over any AES-CBC for better performance and +# security, +# - prefer AES-GCM over ChaCha20 because hardware-accelerated AES is common, +# - disable NULL authentication, MD5 MACs, DSS, and other +# insecure ciphers for security reasons. +# - NOTE: TLS 1.3 cipher suites are managed through a different interface +# not exposed by CPython (yet!) and are enabled by default if they're available. +DEFAULT_CIPHERS = ':'.join([ + 'ECDHE+AESGCM', + 'ECDHE+CHACHA20', + 'DHE+AESGCM', + 'DHE+CHACHA20', + 'ECDH+AESGCM', + 'DH+AESGCM', + 'ECDH+AES', + 'DH+AES', + 'RSA+AESGCM', + 'RSA+AES', + '!aNULL', + '!eNULL', + '!MD5', + '!DSS', +]) + +try: + from ssl import SSLContext # Modern SSL? +except ImportError: + class SSLContext(object): # Platform-specific: Python 2 + def __init__(self, protocol_version): + self.protocol = protocol_version + # Use default values from a real SSLContext + self.check_hostname = False + self.verify_mode = ssl.CERT_NONE + self.ca_certs = None + self.options = 0 + self.certfile = None + self.keyfile = None + self.ciphers = None + + def load_cert_chain(self, certfile, keyfile): + self.certfile = certfile + self.keyfile = keyfile + + def load_verify_locations(self, cafile=None, capath=None): + self.ca_certs = cafile + + if capath is not None: + raise SSLError("CA directories not supported in older Pythons") + + def set_ciphers(self, cipher_suite): + self.ciphers = cipher_suite + + def wrap_socket(self, socket, server_hostname=None, server_side=False): + warnings.warn( + 'A true SSLContext object is not available. This prevents ' + 'urllib3 from configuring SSL appropriately and may cause ' + 'certain SSL connections to fail. You can upgrade to a newer ' + 'version of Python to solve this. For more information, see ' + 'https://urllib3.readthedocs.io/en/latest/advanced-usage.html' + '#ssl-warnings', + InsecurePlatformWarning + ) + kwargs = { + 'keyfile': self.keyfile, + 'certfile': self.certfile, + 'ca_certs': self.ca_certs, + 'cert_reqs': self.verify_mode, + 'ssl_version': self.protocol, + 'server_side': server_side, + } + return wrap_socket(socket, ciphers=self.ciphers, **kwargs) + + +def assert_fingerprint(cert, fingerprint): + """ + Checks if given fingerprint matches the supplied certificate. + + :param cert: + Certificate as bytes object. + :param fingerprint: + Fingerprint as string of hexdigits, can be interspersed by colons. + """ + + fingerprint = fingerprint.replace(':', '').lower() + digest_length = len(fingerprint) + hashfunc = HASHFUNC_MAP.get(digest_length) + if not hashfunc: + raise SSLError( + 'Fingerprint of invalid length: {0}'.format(fingerprint)) + + # We need encode() here for py32; works on py2 and p33. + fingerprint_bytes = unhexlify(fingerprint.encode()) + + cert_digest = hashfunc(cert).digest() + + if not _const_compare_digest(cert_digest, fingerprint_bytes): + raise SSLError('Fingerprints did not match. Expected "{0}", got "{1}".' + .format(fingerprint, hexlify(cert_digest))) + + +def resolve_cert_reqs(candidate): + """ + Resolves the argument to a numeric constant, which can be passed to + the wrap_socket function/method from the ssl module. + Defaults to :data:`ssl.CERT_NONE`. + If given a string it is assumed to be the name of the constant in the + :mod:`ssl` module or its abbreviation. + (So you can specify `REQUIRED` instead of `CERT_REQUIRED`. + If it's neither `None` nor a string we assume it is already the numeric + constant which can directly be passed to wrap_socket. + """ + if candidate is None: + return CERT_REQUIRED + + if isinstance(candidate, str): + res = getattr(ssl, candidate, None) + if res is None: + res = getattr(ssl, 'CERT_' + candidate) + return res + + return candidate + + +def resolve_ssl_version(candidate): + """ + like resolve_cert_reqs + """ + if candidate is None: + return PROTOCOL_TLS + + if isinstance(candidate, str): + res = getattr(ssl, candidate, None) + if res is None: + res = getattr(ssl, 'PROTOCOL_' + candidate) + return res + + return candidate + + +def create_urllib3_context(ssl_version=None, cert_reqs=None, + options=None, ciphers=None): + """All arguments have the same meaning as ``ssl_wrap_socket``. + + By default, this function does a lot of the same work that + ``ssl.create_default_context`` does on Python 3.4+. It: + + - Disables SSLv2, SSLv3, and compression + - Sets a restricted set of server ciphers + + If you wish to enable SSLv3, you can do:: + + from pip._vendor.urllib3.util import ssl_ + context = ssl_.create_urllib3_context() + context.options &= ~ssl_.OP_NO_SSLv3 + + You can do the same to enable compression (substituting ``COMPRESSION`` + for ``SSLv3`` in the last line above). + + :param ssl_version: + The desired protocol version to use. This will default to + PROTOCOL_SSLv23 which will negotiate the highest protocol that both + the server and your installation of OpenSSL support. + :param cert_reqs: + Whether to require the certificate verification. This defaults to + ``ssl.CERT_REQUIRED``. + :param options: + Specific OpenSSL options. These default to ``ssl.OP_NO_SSLv2``, + ``ssl.OP_NO_SSLv3``, ``ssl.OP_NO_COMPRESSION``. + :param ciphers: + Which cipher suites to allow the server to select. + :returns: + Constructed SSLContext object with specified options + :rtype: SSLContext + """ + context = SSLContext(ssl_version or PROTOCOL_TLS) + + context.set_ciphers(ciphers or DEFAULT_CIPHERS) + + # Setting the default here, as we may have no ssl module on import + cert_reqs = ssl.CERT_REQUIRED if cert_reqs is None else cert_reqs + + if options is None: + options = 0 + # SSLv2 is easily broken and is considered harmful and dangerous + options |= OP_NO_SSLv2 + # SSLv3 has several problems and is now dangerous + options |= OP_NO_SSLv3 + # Disable compression to prevent CRIME attacks for OpenSSL 1.0+ + # (issue #309) + options |= OP_NO_COMPRESSION + + context.options |= options + + context.verify_mode = cert_reqs + if getattr(context, 'check_hostname', None) is not None: # Platform-specific: Python 3.2 + # We do our own verification, including fingerprints and alternative + # hostnames. So disable it here + context.check_hostname = False + return context + + +def ssl_wrap_socket(sock, keyfile=None, certfile=None, cert_reqs=None, + ca_certs=None, server_hostname=None, + ssl_version=None, ciphers=None, ssl_context=None, + ca_cert_dir=None, key_password=None): + """ + All arguments except for server_hostname, ssl_context, and ca_cert_dir have + the same meaning as they do when using :func:`ssl.wrap_socket`. + + :param server_hostname: + When SNI is supported, the expected hostname of the certificate + :param ssl_context: + A pre-made :class:`SSLContext` object. If none is provided, one will + be created using :func:`create_urllib3_context`. + :param ciphers: + A string of ciphers we wish the client to support. + :param ca_cert_dir: + A directory containing CA certificates in multiple separate files, as + supported by OpenSSL's -CApath flag or the capath argument to + SSLContext.load_verify_locations(). + :param key_password: + Optional password if the keyfile is encrypted. + """ + context = ssl_context + if context is None: + # Note: This branch of code and all the variables in it are no longer + # used by urllib3 itself. We should consider deprecating and removing + # this code. + context = create_urllib3_context(ssl_version, cert_reqs, + ciphers=ciphers) + + if ca_certs or ca_cert_dir: + try: + context.load_verify_locations(ca_certs, ca_cert_dir) + except IOError as e: # Platform-specific: Python 2.7 + raise SSLError(e) + # Py33 raises FileNotFoundError which subclasses OSError + # These are not equivalent unless we check the errno attribute + except OSError as e: # Platform-specific: Python 3.3 and beyond + if e.errno == errno.ENOENT: + raise SSLError(e) + raise + + elif ssl_context is None and hasattr(context, 'load_default_certs'): + # try to load OS default certs; works well on Windows (require Python3.4+) + context.load_default_certs() + + # Attempt to detect if we get the goofy behavior of the + # keyfile being encrypted and OpenSSL asking for the + # passphrase via the terminal and instead error out. + if keyfile and key_password is None and _is_key_file_encrypted(keyfile): + raise SSLError("Client private key is encrypted, password is required") + + if certfile: + if key_password is None: + context.load_cert_chain(certfile, keyfile) + else: + context.load_cert_chain(certfile, keyfile, key_password) + + # If we detect server_hostname is an IP address then the SNI + # extension should not be used according to RFC3546 Section 3.1 + # We shouldn't warn the user if SNI isn't available but we would + # not be using SNI anyways due to IP address for server_hostname. + if ((server_hostname is not None and not is_ipaddress(server_hostname)) + or IS_SECURETRANSPORT): + if HAS_SNI and server_hostname is not None: + return context.wrap_socket(sock, server_hostname=server_hostname) + + warnings.warn( + 'An HTTPS request has been made, but the SNI (Server Name ' + 'Indication) extension to TLS is not available on this platform. ' + 'This may cause the server to present an incorrect TLS ' + 'certificate, which can cause validation failures. You can upgrade to ' + 'a newer version of Python to solve this. For more information, see ' + 'https://urllib3.readthedocs.io/en/latest/advanced-usage.html' + '#ssl-warnings', + SNIMissingWarning + ) + + return context.wrap_socket(sock) + + +def is_ipaddress(hostname): + """Detects whether the hostname given is an IPv4 or IPv6 address. + Also detects IPv6 addresses with Zone IDs. + + :param str hostname: Hostname to examine. + :return: True if the hostname is an IP address, False otherwise. + """ + if six.PY3 and isinstance(hostname, bytes): + # IDN A-label bytes are ASCII compatible. + hostname = hostname.decode('ascii') + return _IP_ADDRESS_REGEX.match(hostname) is not None + + +def _is_key_file_encrypted(key_file): + """Detects if a key file is encrypted or not.""" + with open(key_file, 'r') as f: + for line in f: + # Look for Proc-Type: 4,ENCRYPTED + if 'ENCRYPTED' in line: + return True + + return False diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/timeout.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/timeout.py new file mode 100644 index 0000000000000000000000000000000000000000..a4d004a848cba3112313ad2b547f9304cf6023a4 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/timeout.py @@ -0,0 +1,243 @@ +from __future__ import absolute_import +# The default socket timeout, used by httplib to indicate that no timeout was +# specified by the user +from socket import _GLOBAL_DEFAULT_TIMEOUT +import time + +from ..exceptions import TimeoutStateError + +# A sentinel value to indicate that no timeout was specified by the user in +# urllib3 +_Default = object() + + +# Use time.monotonic if available. +current_time = getattr(time, "monotonic", time.time) + + +class Timeout(object): + """ Timeout configuration. + + Timeouts can be defined as a default for a pool:: + + timeout = Timeout(connect=2.0, read=7.0) + http = PoolManager(timeout=timeout) + response = http.request('GET', 'http://example.com/') + + Or per-request (which overrides the default for the pool):: + + response = http.request('GET', 'http://example.com/', timeout=Timeout(10)) + + Timeouts can be disabled by setting all the parameters to ``None``:: + + no_timeout = Timeout(connect=None, read=None) + response = http.request('GET', 'http://example.com/, timeout=no_timeout) + + + :param total: + This combines the connect and read timeouts into one; the read timeout + will be set to the time leftover from the connect attempt. In the + event that both a connect timeout and a total are specified, or a read + timeout and a total are specified, the shorter timeout will be applied. + + Defaults to None. + + :type total: integer, float, or None + + :param connect: + The maximum amount of time to wait for a connection attempt to a server + to succeed. Omitting the parameter will default the connect timeout to + the system default, probably `the global default timeout in socket.py + `_. + None will set an infinite timeout for connection attempts. + + :type connect: integer, float, or None + + :param read: + The maximum amount of time to wait between consecutive + read operations for a response from the server. Omitting + the parameter will default the read timeout to the system + default, probably `the global default timeout in socket.py + `_. + None will set an infinite timeout. + + :type read: integer, float, or None + + .. note:: + + Many factors can affect the total amount of time for urllib3 to return + an HTTP response. + + For example, Python's DNS resolver does not obey the timeout specified + on the socket. Other factors that can affect total request time include + high CPU load, high swap, the program running at a low priority level, + or other behaviors. + + In addition, the read and total timeouts only measure the time between + read operations on the socket connecting the client and the server, + not the total amount of time for the request to return a complete + response. For most requests, the timeout is raised because the server + has not sent the first byte in the specified time. This is not always + the case; if a server streams one byte every fifteen seconds, a timeout + of 20 seconds will not trigger, even though the request will take + several minutes to complete. + + If your goal is to cut off any request after a set amount of wall clock + time, consider having a second "watcher" thread to cut off a slow + request. + """ + + #: A sentinel object representing the default timeout value + DEFAULT_TIMEOUT = _GLOBAL_DEFAULT_TIMEOUT + + def __init__(self, total=None, connect=_Default, read=_Default): + self._connect = self._validate_timeout(connect, 'connect') + self._read = self._validate_timeout(read, 'read') + self.total = self._validate_timeout(total, 'total') + self._start_connect = None + + def __str__(self): + return '%s(connect=%r, read=%r, total=%r)' % ( + type(self).__name__, self._connect, self._read, self.total) + + @classmethod + def _validate_timeout(cls, value, name): + """ Check that a timeout attribute is valid. + + :param value: The timeout value to validate + :param name: The name of the timeout attribute to validate. This is + used to specify in error messages. + :return: The validated and casted version of the given value. + :raises ValueError: If it is a numeric value less than or equal to + zero, or the type is not an integer, float, or None. + """ + if value is _Default: + return cls.DEFAULT_TIMEOUT + + if value is None or value is cls.DEFAULT_TIMEOUT: + return value + + if isinstance(value, bool): + raise ValueError("Timeout cannot be a boolean value. It must " + "be an int, float or None.") + try: + float(value) + except (TypeError, ValueError): + raise ValueError("Timeout value %s was %s, but it must be an " + "int, float or None." % (name, value)) + + try: + if value <= 0: + raise ValueError("Attempted to set %s timeout to %s, but the " + "timeout cannot be set to a value less " + "than or equal to 0." % (name, value)) + except TypeError: + # Python 3 + raise ValueError("Timeout value %s was %s, but it must be an " + "int, float or None." % (name, value)) + + return value + + @classmethod + def from_float(cls, timeout): + """ Create a new Timeout from a legacy timeout value. + + The timeout value used by httplib.py sets the same timeout on the + connect(), and recv() socket requests. This creates a :class:`Timeout` + object that sets the individual timeouts to the ``timeout`` value + passed to this function. + + :param timeout: The legacy timeout value. + :type timeout: integer, float, sentinel default object, or None + :return: Timeout object + :rtype: :class:`Timeout` + """ + return Timeout(read=timeout, connect=timeout) + + def clone(self): + """ Create a copy of the timeout object + + Timeout properties are stored per-pool but each request needs a fresh + Timeout object to ensure each one has its own start/stop configured. + + :return: a copy of the timeout object + :rtype: :class:`Timeout` + """ + # We can't use copy.deepcopy because that will also create a new object + # for _GLOBAL_DEFAULT_TIMEOUT, which socket.py uses as a sentinel to + # detect the user default. + return Timeout(connect=self._connect, read=self._read, + total=self.total) + + def start_connect(self): + """ Start the timeout clock, used during a connect() attempt + + :raises urllib3.exceptions.TimeoutStateError: if you attempt + to start a timer that has been started already. + """ + if self._start_connect is not None: + raise TimeoutStateError("Timeout timer has already been started.") + self._start_connect = current_time() + return self._start_connect + + def get_connect_duration(self): + """ Gets the time elapsed since the call to :meth:`start_connect`. + + :return: Elapsed time. + :rtype: float + :raises urllib3.exceptions.TimeoutStateError: if you attempt + to get duration for a timer that hasn't been started. + """ + if self._start_connect is None: + raise TimeoutStateError("Can't get connect duration for timer " + "that has not started.") + return current_time() - self._start_connect + + @property + def connect_timeout(self): + """ Get the value to use when setting a connection timeout. + + This will be a positive float or integer, the value None + (never timeout), or the default system timeout. + + :return: Connect timeout. + :rtype: int, float, :attr:`Timeout.DEFAULT_TIMEOUT` or None + """ + if self.total is None: + return self._connect + + if self._connect is None or self._connect is self.DEFAULT_TIMEOUT: + return self.total + + return min(self._connect, self.total) + + @property + def read_timeout(self): + """ Get the value for the read timeout. + + This assumes some time has elapsed in the connection timeout and + computes the read timeout appropriately. + + If self.total is set, the read timeout is dependent on the amount of + time taken by the connect timeout. If the connection time has not been + established, a :exc:`~urllib3.exceptions.TimeoutStateError` will be + raised. + + :return: Value to use for the read timeout. + :rtype: int, float, :attr:`Timeout.DEFAULT_TIMEOUT` or None + :raises urllib3.exceptions.TimeoutStateError: If :meth:`start_connect` + has not yet been called on this object. + """ + if (self.total is not None and + self.total is not self.DEFAULT_TIMEOUT and + self._read is not None and + self._read is not self.DEFAULT_TIMEOUT): + # In case the connect timeout has not yet been established. + if self._start_connect is None: + return self._read + return max(0, min(self.total - self.get_connect_duration(), + self._read)) + elif self.total is not None and self.total is not self.DEFAULT_TIMEOUT: + return max(0, self.total - self.get_connect_duration()) + else: + return self._read diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/url.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/url.py new file mode 100644 index 0000000000000000000000000000000000000000..aefa119b5909cc9f0a123d46ce4a70f4a5b782e8 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/url.py @@ -0,0 +1,289 @@ +from __future__ import absolute_import +import re +from collections import namedtuple + +from ..exceptions import LocationParseError +from ..packages import six, rfc3986 +from ..packages.rfc3986.exceptions import RFC3986Exception, ValidationError +from ..packages.rfc3986.validators import Validator +from ..packages.rfc3986 import abnf_regexp, normalizers, compat, misc + + +url_attrs = ['scheme', 'auth', 'host', 'port', 'path', 'query', 'fragment'] + +# We only want to normalize urls with an HTTP(S) scheme. +# urllib3 infers URLs without a scheme (None) to be http. +NORMALIZABLE_SCHEMES = ('http', 'https', None) + +# Regex for detecting URLs with schemes. RFC 3986 Section 3.1 +SCHEME_REGEX = re.compile(r"^(?:[a-zA-Z][a-zA-Z0-9+\-]*:|/)") + +PATH_CHARS = abnf_regexp.UNRESERVED_CHARS_SET | abnf_regexp.SUB_DELIMITERS_SET | {':', '@', '/'} +QUERY_CHARS = FRAGMENT_CHARS = PATH_CHARS | {'?'} + + +class Url(namedtuple('Url', url_attrs)): + """ + Data structure for representing an HTTP URL. Used as a return value for + :func:`parse_url`. Both the scheme and host are normalized as they are + both case-insensitive according to RFC 3986. + """ + __slots__ = () + + def __new__(cls, scheme=None, auth=None, host=None, port=None, path=None, + query=None, fragment=None): + if path and not path.startswith('/'): + path = '/' + path + if scheme is not None: + scheme = scheme.lower() + return super(Url, cls).__new__(cls, scheme, auth, host, port, path, + query, fragment) + + @property + def hostname(self): + """For backwards-compatibility with urlparse. We're nice like that.""" + return self.host + + @property + def request_uri(self): + """Absolute path including the query string.""" + uri = self.path or '/' + + if self.query is not None: + uri += '?' + self.query + + return uri + + @property + def netloc(self): + """Network location including host and port""" + if self.port: + return '%s:%d' % (self.host, self.port) + return self.host + + @property + def url(self): + """ + Convert self into a url + + This function should more or less round-trip with :func:`.parse_url`. The + returned url may not be exactly the same as the url inputted to + :func:`.parse_url`, but it should be equivalent by the RFC (e.g., urls + with a blank port will have : removed). + + Example: :: + + >>> U = parse_url('http://google.com/mail/') + >>> U.url + 'http://google.com/mail/' + >>> Url('http', 'username:password', 'host.com', 80, + ... '/path', 'query', 'fragment').url + 'http://username:password@host.com:80/path?query#fragment' + """ + scheme, auth, host, port, path, query, fragment = self + url = u'' + + # We use "is not None" we want things to happen with empty strings (or 0 port) + if scheme is not None: + url += scheme + u'://' + if auth is not None: + url += auth + u'@' + if host is not None: + url += host + if port is not None: + url += u':' + str(port) + if path is not None: + url += path + if query is not None: + url += u'?' + query + if fragment is not None: + url += u'#' + fragment + + return url + + def __str__(self): + return self.url + + +def split_first(s, delims): + """ + .. deprecated:: 1.25 + + Given a string and an iterable of delimiters, split on the first found + delimiter. Return two split parts and the matched delimiter. + + If not found, then the first part is the full input string. + + Example:: + + >>> split_first('foo/bar?baz', '?/=') + ('foo', 'bar?baz', '/') + >>> split_first('foo/bar?baz', '123') + ('foo/bar?baz', '', None) + + Scales linearly with number of delims. Not ideal for large number of delims. + """ + min_idx = None + min_delim = None + for d in delims: + idx = s.find(d) + if idx < 0: + continue + + if min_idx is None or idx < min_idx: + min_idx = idx + min_delim = d + + if min_idx is None or min_idx < 0: + return s, '', None + + return s[:min_idx], s[min_idx + 1:], min_delim + + +def _encode_invalid_chars(component, allowed_chars, encoding='utf-8'): + """Percent-encodes a URI component without reapplying + onto an already percent-encoded component. Based on + rfc3986.normalizers.encode_component() + """ + if component is None: + return component + + # Try to see if the component we're encoding is already percent-encoded + # so we can skip all '%' characters but still encode all others. + percent_encodings = len(normalizers.PERCENT_MATCHER.findall( + compat.to_str(component, encoding))) + + uri_bytes = component.encode('utf-8', 'surrogatepass') + is_percent_encoded = percent_encodings == uri_bytes.count(b'%') + + encoded_component = bytearray() + + for i in range(0, len(uri_bytes)): + # Will return a single character bytestring on both Python 2 & 3 + byte = uri_bytes[i:i+1] + byte_ord = ord(byte) + if ((is_percent_encoded and byte == b'%') + or (byte_ord < 128 and byte.decode() in allowed_chars)): + encoded_component.extend(byte) + continue + encoded_component.extend('%{0:02x}'.format(byte_ord).encode().upper()) + + return encoded_component.decode(encoding) + + +def parse_url(url): + """ + Given a url, return a parsed :class:`.Url` namedtuple. Best-effort is + performed to parse incomplete urls. Fields not provided will be None. + This parser is RFC 3986 compliant. + + :param str url: URL to parse into a :class:`.Url` namedtuple. + + Partly backwards-compatible with :mod:`urlparse`. + + Example:: + + >>> parse_url('http://google.com/mail/') + Url(scheme='http', host='google.com', port=None, path='/mail/', ...) + >>> parse_url('google.com:80') + Url(scheme=None, host='google.com', port=80, path=None, ...) + >>> parse_url('/foo?bar') + Url(scheme=None, host=None, port=None, path='/foo', query='bar', ...) + """ + if not url: + # Empty + return Url() + + is_string = not isinstance(url, six.binary_type) + + # RFC 3986 doesn't like URLs that have a host but don't start + # with a scheme and we support URLs like that so we need to + # detect that problem and add an empty scheme indication. + # We don't get hurt on path-only URLs here as it's stripped + # off and given an empty scheme anyways. + if not SCHEME_REGEX.search(url): + url = "//" + url + + def idna_encode(name): + if name and any([ord(x) > 128 for x in name]): + try: + from pip._vendor import idna + except ImportError: + raise LocationParseError("Unable to parse URL without the 'idna' module") + try: + return idna.encode(name.lower(), strict=True, std3_rules=True) + except idna.IDNAError: + raise LocationParseError(u"Name '%s' is not a valid IDNA label" % name) + return name + + try: + split_iri = misc.IRI_MATCHER.match(compat.to_str(url)).groupdict() + iri_ref = rfc3986.IRIReference( + split_iri['scheme'], split_iri['authority'], + _encode_invalid_chars(split_iri['path'], PATH_CHARS), + _encode_invalid_chars(split_iri['query'], QUERY_CHARS), + _encode_invalid_chars(split_iri['fragment'], FRAGMENT_CHARS) + ) + has_authority = iri_ref.authority is not None + uri_ref = iri_ref.encode(idna_encoder=idna_encode) + except (ValueError, RFC3986Exception): + return six.raise_from(LocationParseError(url), None) + + # rfc3986 strips the authority if it's invalid + if has_authority and uri_ref.authority is None: + raise LocationParseError(url) + + # Only normalize schemes we understand to not break http+unix + # or other schemes that don't follow RFC 3986. + if uri_ref.scheme is None or uri_ref.scheme.lower() in NORMALIZABLE_SCHEMES: + uri_ref = uri_ref.normalize() + + # Validate all URIReference components and ensure that all + # components that were set before are still set after + # normalization has completed. + validator = Validator() + try: + validator.check_validity_of( + *validator.COMPONENT_NAMES + ).validate(uri_ref) + except ValidationError: + return six.raise_from(LocationParseError(url), None) + + # For the sake of backwards compatibility we put empty + # string values for path if there are any defined values + # beyond the path in the URL. + # TODO: Remove this when we break backwards compatibility. + path = uri_ref.path + if not path: + if (uri_ref.query is not None + or uri_ref.fragment is not None): + path = "" + else: + path = None + + # Ensure that each part of the URL is a `str` for + # backwards compatibility. + def to_input_type(x): + if x is None: + return None + elif not is_string and not isinstance(x, six.binary_type): + return x.encode('utf-8') + return x + + return Url( + scheme=to_input_type(uri_ref.scheme), + auth=to_input_type(uri_ref.userinfo), + host=to_input_type(uri_ref.host), + port=int(uri_ref.port) if uri_ref.port is not None else None, + path=to_input_type(path), + query=to_input_type(uri_ref.query), + fragment=to_input_type(uri_ref.fragment) + ) + + +def get_host(url): + """ + Deprecated. Use :func:`parse_url` instead. + """ + p = parse_url(url) + return p.scheme or 'http', p.hostname, p.port diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/wait.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/wait.py new file mode 100644 index 0000000000000000000000000000000000000000..4db71bafd87b742f98683011df2fac2c73358d23 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/urllib3/util/wait.py @@ -0,0 +1,150 @@ +import errno +from functools import partial +import select +import sys +try: + from time import monotonic +except ImportError: + from time import time as monotonic + +__all__ = ["NoWayToWaitForSocketError", "wait_for_read", "wait_for_write"] + + +class NoWayToWaitForSocketError(Exception): + pass + + +# How should we wait on sockets? +# +# There are two types of APIs you can use for waiting on sockets: the fancy +# modern stateful APIs like epoll/kqueue, and the older stateless APIs like +# select/poll. The stateful APIs are more efficient when you have a lots of +# sockets to keep track of, because you can set them up once and then use them +# lots of times. But we only ever want to wait on a single socket at a time +# and don't want to keep track of state, so the stateless APIs are actually +# more efficient. So we want to use select() or poll(). +# +# Now, how do we choose between select() and poll()? On traditional Unixes, +# select() has a strange calling convention that makes it slow, or fail +# altogether, for high-numbered file descriptors. The point of poll() is to fix +# that, so on Unixes, we prefer poll(). +# +# On Windows, there is no poll() (or at least Python doesn't provide a wrapper +# for it), but that's OK, because on Windows, select() doesn't have this +# strange calling convention; plain select() works fine. +# +# So: on Windows we use select(), and everywhere else we use poll(). We also +# fall back to select() in case poll() is somehow broken or missing. + +if sys.version_info >= (3, 5): + # Modern Python, that retries syscalls by default + def _retry_on_intr(fn, timeout): + return fn(timeout) +else: + # Old and broken Pythons. + def _retry_on_intr(fn, timeout): + if timeout is None: + deadline = float("inf") + else: + deadline = monotonic() + timeout + + while True: + try: + return fn(timeout) + # OSError for 3 <= pyver < 3.5, select.error for pyver <= 2.7 + except (OSError, select.error) as e: + # 'e.args[0]' incantation works for both OSError and select.error + if e.args[0] != errno.EINTR: + raise + else: + timeout = deadline - monotonic() + if timeout < 0: + timeout = 0 + if timeout == float("inf"): + timeout = None + continue + + +def select_wait_for_socket(sock, read=False, write=False, timeout=None): + if not read and not write: + raise RuntimeError("must specify at least one of read=True, write=True") + rcheck = [] + wcheck = [] + if read: + rcheck.append(sock) + if write: + wcheck.append(sock) + # When doing a non-blocking connect, most systems signal success by + # marking the socket writable. Windows, though, signals success by marked + # it as "exceptional". We paper over the difference by checking the write + # sockets for both conditions. (The stdlib selectors module does the same + # thing.) + fn = partial(select.select, rcheck, wcheck, wcheck) + rready, wready, xready = _retry_on_intr(fn, timeout) + return bool(rready or wready or xready) + + +def poll_wait_for_socket(sock, read=False, write=False, timeout=None): + if not read and not write: + raise RuntimeError("must specify at least one of read=True, write=True") + mask = 0 + if read: + mask |= select.POLLIN + if write: + mask |= select.POLLOUT + poll_obj = select.poll() + poll_obj.register(sock, mask) + + # For some reason, poll() takes timeout in milliseconds + def do_poll(t): + if t is not None: + t *= 1000 + return poll_obj.poll(t) + + return bool(_retry_on_intr(do_poll, timeout)) + + +def null_wait_for_socket(*args, **kwargs): + raise NoWayToWaitForSocketError("no select-equivalent available") + + +def _have_working_poll(): + # Apparently some systems have a select.poll that fails as soon as you try + # to use it, either due to strange configuration or broken monkeypatching + # from libraries like eventlet/greenlet. + try: + poll_obj = select.poll() + _retry_on_intr(poll_obj.poll, 0) + except (AttributeError, OSError): + return False + else: + return True + + +def wait_for_socket(*args, **kwargs): + # We delay choosing which implementation to use until the first time we're + # called. We could do it at import time, but then we might make the wrong + # decision if someone goes wild with monkeypatching select.poll after + # we're imported. + global wait_for_socket + if _have_working_poll(): + wait_for_socket = poll_wait_for_socket + elif hasattr(select, "select"): + wait_for_socket = select_wait_for_socket + else: # Platform-specific: Appengine. + wait_for_socket = null_wait_for_socket + return wait_for_socket(*args, **kwargs) + + +def wait_for_read(sock, timeout=None): + """ Waits for reading to be available on a given socket. + Returns True if the socket is readable, or False if the timeout expired. + """ + return wait_for_socket(sock, read=True, timeout=timeout) + + +def wait_for_write(sock, timeout=None): + """ Waits for writing to be available on a given socket. + Returns True if the socket is readable, or False if the timeout expired. + """ + return wait_for_socket(sock, write=True, timeout=timeout) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/labels.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/labels.py new file mode 100644 index 0000000000000000000000000000000000000000..29cbf91ef79b89971e51db9ddfc3720d8b4db82a --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/labels.py @@ -0,0 +1,231 @@ +""" + + webencodings.labels + ~~~~~~~~~~~~~~~~~~~ + + Map encoding labels to their name. + + :copyright: Copyright 2012 by Simon Sapin + :license: BSD, see LICENSE for details. + +""" + +# XXX Do not edit! +# This file is automatically generated by mklabels.py + +LABELS = { + 'unicode-1-1-utf-8': 'utf-8', + 'utf-8': 'utf-8', + 'utf8': 'utf-8', + '866': 'ibm866', + 'cp866': 'ibm866', + 'csibm866': 'ibm866', + 'ibm866': 'ibm866', + 'csisolatin2': 'iso-8859-2', + 'iso-8859-2': 'iso-8859-2', + 'iso-ir-101': 'iso-8859-2', + 'iso8859-2': 'iso-8859-2', + 'iso88592': 'iso-8859-2', + 'iso_8859-2': 'iso-8859-2', + 'iso_8859-2:1987': 'iso-8859-2', + 'l2': 'iso-8859-2', + 'latin2': 'iso-8859-2', + 'csisolatin3': 'iso-8859-3', + 'iso-8859-3': 'iso-8859-3', + 'iso-ir-109': 'iso-8859-3', + 'iso8859-3': 'iso-8859-3', + 'iso88593': 'iso-8859-3', + 'iso_8859-3': 'iso-8859-3', + 'iso_8859-3:1988': 'iso-8859-3', + 'l3': 'iso-8859-3', + 'latin3': 'iso-8859-3', + 'csisolatin4': 'iso-8859-4', + 'iso-8859-4': 'iso-8859-4', + 'iso-ir-110': 'iso-8859-4', + 'iso8859-4': 'iso-8859-4', + 'iso88594': 'iso-8859-4', + 'iso_8859-4': 'iso-8859-4', + 'iso_8859-4:1988': 'iso-8859-4', + 'l4': 'iso-8859-4', + 'latin4': 'iso-8859-4', + 'csisolatincyrillic': 'iso-8859-5', + 'cyrillic': 'iso-8859-5', + 'iso-8859-5': 'iso-8859-5', + 'iso-ir-144': 'iso-8859-5', + 'iso8859-5': 'iso-8859-5', + 'iso88595': 'iso-8859-5', + 'iso_8859-5': 'iso-8859-5', + 'iso_8859-5:1988': 'iso-8859-5', + 'arabic': 'iso-8859-6', + 'asmo-708': 'iso-8859-6', + 'csiso88596e': 'iso-8859-6', + 'csiso88596i': 'iso-8859-6', + 'csisolatinarabic': 'iso-8859-6', + 'ecma-114': 'iso-8859-6', + 'iso-8859-6': 'iso-8859-6', + 'iso-8859-6-e': 'iso-8859-6', + 'iso-8859-6-i': 'iso-8859-6', + 'iso-ir-127': 'iso-8859-6', + 'iso8859-6': 'iso-8859-6', + 'iso88596': 'iso-8859-6', + 'iso_8859-6': 'iso-8859-6', + 'iso_8859-6:1987': 'iso-8859-6', + 'csisolatingreek': 'iso-8859-7', + 'ecma-118': 'iso-8859-7', + 'elot_928': 'iso-8859-7', + 'greek': 'iso-8859-7', + 'greek8': 'iso-8859-7', + 'iso-8859-7': 'iso-8859-7', + 'iso-ir-126': 'iso-8859-7', + 'iso8859-7': 'iso-8859-7', + 'iso88597': 'iso-8859-7', + 'iso_8859-7': 'iso-8859-7', + 'iso_8859-7:1987': 'iso-8859-7', + 'sun_eu_greek': 'iso-8859-7', + 'csiso88598e': 'iso-8859-8', + 'csisolatinhebrew': 'iso-8859-8', + 'hebrew': 'iso-8859-8', + 'iso-8859-8': 'iso-8859-8', + 'iso-8859-8-e': 'iso-8859-8', + 'iso-ir-138': 'iso-8859-8', + 'iso8859-8': 'iso-8859-8', + 'iso88598': 'iso-8859-8', + 'iso_8859-8': 'iso-8859-8', + 'iso_8859-8:1988': 'iso-8859-8', + 'visual': 'iso-8859-8', + 'csiso88598i': 'iso-8859-8-i', + 'iso-8859-8-i': 'iso-8859-8-i', + 'logical': 'iso-8859-8-i', + 'csisolatin6': 'iso-8859-10', + 'iso-8859-10': 'iso-8859-10', + 'iso-ir-157': 'iso-8859-10', + 'iso8859-10': 'iso-8859-10', + 'iso885910': 'iso-8859-10', + 'l6': 'iso-8859-10', + 'latin6': 'iso-8859-10', + 'iso-8859-13': 'iso-8859-13', + 'iso8859-13': 'iso-8859-13', + 'iso885913': 'iso-8859-13', + 'iso-8859-14': 'iso-8859-14', + 'iso8859-14': 'iso-8859-14', + 'iso885914': 'iso-8859-14', + 'csisolatin9': 'iso-8859-15', + 'iso-8859-15': 'iso-8859-15', + 'iso8859-15': 'iso-8859-15', + 'iso885915': 'iso-8859-15', + 'iso_8859-15': 'iso-8859-15', + 'l9': 'iso-8859-15', + 'iso-8859-16': 'iso-8859-16', + 'cskoi8r': 'koi8-r', + 'koi': 'koi8-r', + 'koi8': 'koi8-r', + 'koi8-r': 'koi8-r', + 'koi8_r': 'koi8-r', + 'koi8-u': 'koi8-u', + 'csmacintosh': 'macintosh', + 'mac': 'macintosh', + 'macintosh': 'macintosh', + 'x-mac-roman': 'macintosh', + 'dos-874': 'windows-874', + 'iso-8859-11': 'windows-874', + 'iso8859-11': 'windows-874', + 'iso885911': 'windows-874', + 'tis-620': 'windows-874', + 'windows-874': 'windows-874', + 'cp1250': 'windows-1250', + 'windows-1250': 'windows-1250', + 'x-cp1250': 'windows-1250', + 'cp1251': 'windows-1251', + 'windows-1251': 'windows-1251', + 'x-cp1251': 'windows-1251', + 'ansi_x3.4-1968': 'windows-1252', + 'ascii': 'windows-1252', + 'cp1252': 'windows-1252', + 'cp819': 'windows-1252', + 'csisolatin1': 'windows-1252', + 'ibm819': 'windows-1252', + 'iso-8859-1': 'windows-1252', + 'iso-ir-100': 'windows-1252', + 'iso8859-1': 'windows-1252', + 'iso88591': 'windows-1252', + 'iso_8859-1': 'windows-1252', + 'iso_8859-1:1987': 'windows-1252', + 'l1': 'windows-1252', + 'latin1': 'windows-1252', + 'us-ascii': 'windows-1252', + 'windows-1252': 'windows-1252', + 'x-cp1252': 'windows-1252', + 'cp1253': 'windows-1253', + 'windows-1253': 'windows-1253', + 'x-cp1253': 'windows-1253', + 'cp1254': 'windows-1254', + 'csisolatin5': 'windows-1254', + 'iso-8859-9': 'windows-1254', + 'iso-ir-148': 'windows-1254', + 'iso8859-9': 'windows-1254', + 'iso88599': 'windows-1254', + 'iso_8859-9': 'windows-1254', + 'iso_8859-9:1989': 'windows-1254', + 'l5': 'windows-1254', + 'latin5': 'windows-1254', + 'windows-1254': 'windows-1254', + 'x-cp1254': 'windows-1254', + 'cp1255': 'windows-1255', + 'windows-1255': 'windows-1255', + 'x-cp1255': 'windows-1255', + 'cp1256': 'windows-1256', + 'windows-1256': 'windows-1256', + 'x-cp1256': 'windows-1256', + 'cp1257': 'windows-1257', + 'windows-1257': 'windows-1257', + 'x-cp1257': 'windows-1257', + 'cp1258': 'windows-1258', + 'windows-1258': 'windows-1258', + 'x-cp1258': 'windows-1258', + 'x-mac-cyrillic': 'x-mac-cyrillic', + 'x-mac-ukrainian': 'x-mac-cyrillic', + 'chinese': 'gbk', + 'csgb2312': 'gbk', + 'csiso58gb231280': 'gbk', + 'gb2312': 'gbk', + 'gb_2312': 'gbk', + 'gb_2312-80': 'gbk', + 'gbk': 'gbk', + 'iso-ir-58': 'gbk', + 'x-gbk': 'gbk', + 'gb18030': 'gb18030', + 'hz-gb-2312': 'hz-gb-2312', + 'big5': 'big5', + 'big5-hkscs': 'big5', + 'cn-big5': 'big5', + 'csbig5': 'big5', + 'x-x-big5': 'big5', + 'cseucpkdfmtjapanese': 'euc-jp', + 'euc-jp': 'euc-jp', + 'x-euc-jp': 'euc-jp', + 'csiso2022jp': 'iso-2022-jp', + 'iso-2022-jp': 'iso-2022-jp', + 'csshiftjis': 'shift_jis', + 'ms_kanji': 'shift_jis', + 'shift-jis': 'shift_jis', + 'shift_jis': 'shift_jis', + 'sjis': 'shift_jis', + 'windows-31j': 'shift_jis', + 'x-sjis': 'shift_jis', + 'cseuckr': 'euc-kr', + 'csksc56011987': 'euc-kr', + 'euc-kr': 'euc-kr', + 'iso-ir-149': 'euc-kr', + 'korean': 'euc-kr', + 'ks_c_5601-1987': 'euc-kr', + 'ks_c_5601-1989': 'euc-kr', + 'ksc5601': 'euc-kr', + 'ksc_5601': 'euc-kr', + 'windows-949': 'euc-kr', + 'csiso2022kr': 'iso-2022-kr', + 'iso-2022-kr': 'iso-2022-kr', + 'utf-16be': 'utf-16be', + 'utf-16': 'utf-16le', + 'utf-16le': 'utf-16le', + 'x-user-defined': 'x-user-defined', +} diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/mklabels.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/mklabels.py new file mode 100644 index 0000000000000000000000000000000000000000..295dc928ba71fc00caa52708ac70097abe6dc3e4 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/mklabels.py @@ -0,0 +1,59 @@ +""" + + webencodings.mklabels + ~~~~~~~~~~~~~~~~~~~~~ + + Regenarate the webencodings.labels module. + + :copyright: Copyright 2012 by Simon Sapin + :license: BSD, see LICENSE for details. + +""" + +import json +try: + from urllib import urlopen +except ImportError: + from urllib.request import urlopen + + +def assert_lower(string): + assert string == string.lower() + return string + + +def generate(url): + parts = ['''\ +""" + + webencodings.labels + ~~~~~~~~~~~~~~~~~~~ + + Map encoding labels to their name. + + :copyright: Copyright 2012 by Simon Sapin + :license: BSD, see LICENSE for details. + +""" + +# XXX Do not edit! +# This file is automatically generated by mklabels.py + +LABELS = { +'''] + labels = [ + (repr(assert_lower(label)).lstrip('u'), + repr(encoding['name']).lstrip('u')) + for category in json.loads(urlopen(url).read().decode('ascii')) + for encoding in category['encodings'] + for label in encoding['labels']] + max_len = max(len(label) for label, name in labels) + parts.extend( + ' %s:%s %s,\n' % (label, ' ' * (max_len - len(label)), name) + for label, name in labels) + parts.append('}') + return ''.join(parts) + + +if __name__ == '__main__': + print(generate('http://encoding.spec.whatwg.org/encodings.json')) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/tests.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/tests.py new file mode 100644 index 0000000000000000000000000000000000000000..e12c10d033026f09cf97b81d29555e12aae8c762 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/tests.py @@ -0,0 +1,153 @@ +# coding: utf-8 +""" + + webencodings.tests + ~~~~~~~~~~~~~~~~~~ + + A basic test suite for Encoding. + + :copyright: Copyright 2012 by Simon Sapin + :license: BSD, see LICENSE for details. + +""" + +from __future__ import unicode_literals + +from . import (lookup, LABELS, decode, encode, iter_decode, iter_encode, + IncrementalDecoder, IncrementalEncoder, UTF8) + + +def assert_raises(exception, function, *args, **kwargs): + try: + function(*args, **kwargs) + except exception: + return + else: # pragma: no cover + raise AssertionError('Did not raise %s.' % exception) + + +def test_labels(): + assert lookup('utf-8').name == 'utf-8' + assert lookup('Utf-8').name == 'utf-8' + assert lookup('UTF-8').name == 'utf-8' + assert lookup('utf8').name == 'utf-8' + assert lookup('utf8').name == 'utf-8' + assert lookup('utf8 ').name == 'utf-8' + assert lookup(' \r\nutf8\t').name == 'utf-8' + assert lookup('u8') is None # Python label. + assert lookup('utf-8 ') is None # Non-ASCII white space. + + assert lookup('US-ASCII').name == 'windows-1252' + assert lookup('iso-8859-1').name == 'windows-1252' + assert lookup('latin1').name == 'windows-1252' + assert lookup('LATIN1').name == 'windows-1252' + assert lookup('latin-1') is None + assert lookup('LATİN1') is None # ASCII-only case insensitivity. + + +def test_all_labels(): + for label in LABELS: + assert decode(b'', label) == ('', lookup(label)) + assert encode('', label) == b'' + for repeat in [0, 1, 12]: + output, _ = iter_decode([b''] * repeat, label) + assert list(output) == [] + assert list(iter_encode([''] * repeat, label)) == [] + decoder = IncrementalDecoder(label) + assert decoder.decode(b'') == '' + assert decoder.decode(b'', final=True) == '' + encoder = IncrementalEncoder(label) + assert encoder.encode('') == b'' + assert encoder.encode('', final=True) == b'' + # All encoding names are valid labels too: + for name in set(LABELS.values()): + assert lookup(name).name == name + + +def test_invalid_label(): + assert_raises(LookupError, decode, b'\xEF\xBB\xBF\xc3\xa9', 'invalid') + assert_raises(LookupError, encode, 'é', 'invalid') + assert_raises(LookupError, iter_decode, [], 'invalid') + assert_raises(LookupError, iter_encode, [], 'invalid') + assert_raises(LookupError, IncrementalDecoder, 'invalid') + assert_raises(LookupError, IncrementalEncoder, 'invalid') + + +def test_decode(): + assert decode(b'\x80', 'latin1') == ('€', lookup('latin1')) + assert decode(b'\x80', lookup('latin1')) == ('€', lookup('latin1')) + assert decode(b'\xc3\xa9', 'utf8') == ('é', lookup('utf8')) + assert decode(b'\xc3\xa9', UTF8) == ('é', lookup('utf8')) + assert decode(b'\xc3\xa9', 'ascii') == ('é', lookup('ascii')) + assert decode(b'\xEF\xBB\xBF\xc3\xa9', 'ascii') == ('é', lookup('utf8')) # UTF-8 with BOM + + assert decode(b'\xFE\xFF\x00\xe9', 'ascii') == ('é', lookup('utf-16be')) # UTF-16-BE with BOM + assert decode(b'\xFF\xFE\xe9\x00', 'ascii') == ('é', lookup('utf-16le')) # UTF-16-LE with BOM + assert decode(b'\xFE\xFF\xe9\x00', 'ascii') == ('\ue900', lookup('utf-16be')) + assert decode(b'\xFF\xFE\x00\xe9', 'ascii') == ('\ue900', lookup('utf-16le')) + + assert decode(b'\x00\xe9', 'UTF-16BE') == ('é', lookup('utf-16be')) + assert decode(b'\xe9\x00', 'UTF-16LE') == ('é', lookup('utf-16le')) + assert decode(b'\xe9\x00', 'UTF-16') == ('é', lookup('utf-16le')) + + assert decode(b'\xe9\x00', 'UTF-16BE') == ('\ue900', lookup('utf-16be')) + assert decode(b'\x00\xe9', 'UTF-16LE') == ('\ue900', lookup('utf-16le')) + assert decode(b'\x00\xe9', 'UTF-16') == ('\ue900', lookup('utf-16le')) + + +def test_encode(): + assert encode('é', 'latin1') == b'\xe9' + assert encode('é', 'utf8') == b'\xc3\xa9' + assert encode('é', 'utf8') == b'\xc3\xa9' + assert encode('é', 'utf-16') == b'\xe9\x00' + assert encode('é', 'utf-16le') == b'\xe9\x00' + assert encode('é', 'utf-16be') == b'\x00\xe9' + + +def test_iter_decode(): + def iter_decode_to_string(input, fallback_encoding): + output, _encoding = iter_decode(input, fallback_encoding) + return ''.join(output) + assert iter_decode_to_string([], 'latin1') == '' + assert iter_decode_to_string([b''], 'latin1') == '' + assert iter_decode_to_string([b'\xe9'], 'latin1') == 'é' + assert iter_decode_to_string([b'hello'], 'latin1') == 'hello' + assert iter_decode_to_string([b'he', b'llo'], 'latin1') == 'hello' + assert iter_decode_to_string([b'hell', b'o'], 'latin1') == 'hello' + assert iter_decode_to_string([b'\xc3\xa9'], 'latin1') == 'é' + assert iter_decode_to_string([b'\xEF\xBB\xBF\xc3\xa9'], 'latin1') == 'é' + assert iter_decode_to_string([ + b'\xEF\xBB\xBF', b'\xc3', b'\xa9'], 'latin1') == 'é' + assert iter_decode_to_string([ + b'\xEF\xBB\xBF', b'a', b'\xc3'], 'latin1') == 'a\uFFFD' + assert iter_decode_to_string([ + b'', b'\xEF', b'', b'', b'\xBB\xBF\xc3', b'\xa9'], 'latin1') == 'é' + assert iter_decode_to_string([b'\xEF\xBB\xBF'], 'latin1') == '' + assert iter_decode_to_string([b'\xEF\xBB'], 'latin1') == 'ï»' + assert iter_decode_to_string([b'\xFE\xFF\x00\xe9'], 'latin1') == 'é' + assert iter_decode_to_string([b'\xFF\xFE\xe9\x00'], 'latin1') == 'é' + assert iter_decode_to_string([ + b'', b'\xFF', b'', b'', b'\xFE\xe9', b'\x00'], 'latin1') == 'é' + assert iter_decode_to_string([ + b'', b'h\xe9', b'llo'], 'x-user-defined') == 'h\uF7E9llo' + + +def test_iter_encode(): + assert b''.join(iter_encode([], 'latin1')) == b'' + assert b''.join(iter_encode([''], 'latin1')) == b'' + assert b''.join(iter_encode(['é'], 'latin1')) == b'\xe9' + assert b''.join(iter_encode(['', 'é', '', ''], 'latin1')) == b'\xe9' + assert b''.join(iter_encode(['', 'é', '', ''], 'utf-16')) == b'\xe9\x00' + assert b''.join(iter_encode(['', 'é', '', ''], 'utf-16le')) == b'\xe9\x00' + assert b''.join(iter_encode(['', 'é', '', ''], 'utf-16be')) == b'\x00\xe9' + assert b''.join(iter_encode([ + '', 'h\uF7E9', '', 'llo'], 'x-user-defined')) == b'h\xe9llo' + + +def test_x_user_defined(): + encoded = b'2,\x0c\x0b\x1aO\xd9#\xcb\x0f\xc9\xbbt\xcf\xa8\xca' + decoded = '2,\x0c\x0b\x1aO\uf7d9#\uf7cb\x0f\uf7c9\uf7bbt\uf7cf\uf7a8\uf7ca' + encoded = b'aa' + decoded = 'aa' + assert decode(encoded, 'x-user-defined') == (decoded, lookup('x-user-defined')) + assert encode(decoded, 'x-user-defined') == encoded diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/x_user_defined.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/x_user_defined.py new file mode 100644 index 0000000000000000000000000000000000000000..d16e326024c05a59548619e13258acad781e0a6d --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pip/_vendor/webencodings/x_user_defined.py @@ -0,0 +1,325 @@ +# coding: utf-8 +""" + + webencodings.x_user_defined + ~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + An implementation of the x-user-defined encoding. + + :copyright: Copyright 2012 by Simon Sapin + :license: BSD, see LICENSE for details. + +""" + +from __future__ import unicode_literals + +import codecs + + +### Codec APIs + +class Codec(codecs.Codec): + + def encode(self, input, errors='strict'): + return codecs.charmap_encode(input, errors, encoding_table) + + def decode(self, input, errors='strict'): + return codecs.charmap_decode(input, errors, decoding_table) + + +class IncrementalEncoder(codecs.IncrementalEncoder): + def encode(self, input, final=False): + return codecs.charmap_encode(input, self.errors, encoding_table)[0] + + +class IncrementalDecoder(codecs.IncrementalDecoder): + def decode(self, input, final=False): + return codecs.charmap_decode(input, self.errors, decoding_table)[0] + + +class StreamWriter(Codec, codecs.StreamWriter): + pass + + +class StreamReader(Codec, codecs.StreamReader): + pass + + +### encodings module API + +codec_info = codecs.CodecInfo( + name='x-user-defined', + encode=Codec().encode, + decode=Codec().decode, + incrementalencoder=IncrementalEncoder, + incrementaldecoder=IncrementalDecoder, + streamreader=StreamReader, + streamwriter=StreamWriter, +) + + +### Decoding Table + +# Python 3: +# for c in range(256): print(' %r' % chr(c if c < 128 else c + 0xF700)) +decoding_table = ( + '\x00' + '\x01' + '\x02' + '\x03' + '\x04' + '\x05' + '\x06' + '\x07' + '\x08' + '\t' + '\n' + '\x0b' + '\x0c' + '\r' + '\x0e' + '\x0f' + '\x10' + '\x11' + '\x12' + '\x13' + '\x14' + '\x15' + '\x16' + '\x17' + '\x18' + '\x19' + '\x1a' + '\x1b' + '\x1c' + '\x1d' + '\x1e' + '\x1f' + ' ' + '!' + '"' + '#' + '$' + '%' + '&' + "'" + '(' + ')' + '*' + '+' + ',' + '-' + '.' + '/' + '0' + '1' + '2' + '3' + '4' + '5' + '6' + '7' + '8' + '9' + ':' + ';' + '<' + '=' + '>' + '?' + '@' + 'A' + 'B' + 'C' + 'D' + 'E' + 'F' + 'G' + 'H' + 'I' + 'J' + 'K' + 'L' + 'M' + 'N' + 'O' + 'P' + 'Q' + 'R' + 'S' + 'T' + 'U' + 'V' + 'W' + 'X' + 'Y' + 'Z' + '[' + '\\' + ']' + '^' + '_' + '`' + 'a' + 'b' + 'c' + 'd' + 'e' + 'f' + 'g' + 'h' + 'i' + 'j' + 'k' + 'l' + 'm' + 'n' + 'o' + 'p' + 'q' + 'r' + 's' + 't' + 'u' + 'v' + 'w' + 'x' + 'y' + 'z' + '{' + '|' + '}' + '~' + '\x7f' + '\uf780' + '\uf781' + '\uf782' + '\uf783' + '\uf784' + '\uf785' + '\uf786' + '\uf787' + '\uf788' + '\uf789' + '\uf78a' + '\uf78b' + '\uf78c' + '\uf78d' + '\uf78e' + '\uf78f' + '\uf790' + '\uf791' + '\uf792' + '\uf793' + '\uf794' + '\uf795' + '\uf796' + '\uf797' + '\uf798' + '\uf799' + '\uf79a' + '\uf79b' + '\uf79c' + '\uf79d' + '\uf79e' + '\uf79f' + '\uf7a0' + '\uf7a1' + '\uf7a2' + '\uf7a3' + '\uf7a4' + '\uf7a5' + '\uf7a6' + '\uf7a7' + '\uf7a8' + '\uf7a9' + '\uf7aa' + '\uf7ab' + '\uf7ac' + '\uf7ad' + '\uf7ae' + '\uf7af' + '\uf7b0' + '\uf7b1' + '\uf7b2' + '\uf7b3' + '\uf7b4' + '\uf7b5' + '\uf7b6' + '\uf7b7' + '\uf7b8' + '\uf7b9' + '\uf7ba' + '\uf7bb' + '\uf7bc' + '\uf7bd' + '\uf7be' + '\uf7bf' + '\uf7c0' + '\uf7c1' + '\uf7c2' + '\uf7c3' + '\uf7c4' + '\uf7c5' + '\uf7c6' + '\uf7c7' + '\uf7c8' + '\uf7c9' + '\uf7ca' + '\uf7cb' + '\uf7cc' + '\uf7cd' + '\uf7ce' + '\uf7cf' + '\uf7d0' + '\uf7d1' + '\uf7d2' + '\uf7d3' + '\uf7d4' + '\uf7d5' + '\uf7d6' + '\uf7d7' + '\uf7d8' + '\uf7d9' + '\uf7da' + '\uf7db' + '\uf7dc' + '\uf7dd' + '\uf7de' + '\uf7df' + '\uf7e0' + '\uf7e1' + '\uf7e2' + '\uf7e3' + '\uf7e4' + '\uf7e5' + '\uf7e6' + '\uf7e7' + '\uf7e8' + '\uf7e9' + '\uf7ea' + '\uf7eb' + '\uf7ec' + '\uf7ed' + '\uf7ee' + '\uf7ef' + '\uf7f0' + '\uf7f1' + '\uf7f2' + '\uf7f3' + '\uf7f4' + '\uf7f5' + '\uf7f6' + '\uf7f7' + '\uf7f8' + '\uf7f9' + '\uf7fa' + '\uf7fb' + '\uf7fc' + '\uf7fd' + '\uf7fe' + '\uf7ff' +) + +### Encoding table +encoding_table = codecs.charmap_build(decoding_table) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/__init__.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1f170cfda5944516616e86e70f2850e8f9a2a3c5 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/__init__.py @@ -0,0 +1,3295 @@ +# coding: utf-8 +""" +Package resource API +-------------------- + +A resource is a logical file contained within a package, or a logical +subdirectory thereof. The package resource API expects resource names +to have their path parts separated with ``/``, *not* whatever the local +path separator is. Do not use os.path operations to manipulate resource +names being passed into the API. + +The package resource API is designed to work with normal filesystem packages, +.egg files, and unpacked .egg files. It can also work in a limited way with +.zip files and with custom PEP 302 loaders that support the ``get_data()`` +method. +""" + +from __future__ import absolute_import + +import sys +import os +import io +import time +import re +import types +import zipfile +import zipimport +import warnings +import stat +import functools +import pkgutil +import operator +import platform +import collections +import plistlib +import email.parser +import errno +import tempfile +import textwrap +import itertools +import inspect +import ntpath +import posixpath +from pkgutil import get_importer + +try: + import _imp +except ImportError: + # Python 3.2 compatibility + import imp as _imp + +try: + FileExistsError +except NameError: + FileExistsError = OSError + +from pkg_resources.extern import six +from pkg_resources.extern.six.moves import urllib, map, filter + +# capture these to bypass sandboxing +from os import utime +try: + from os import mkdir, rename, unlink + WRITE_SUPPORT = True +except ImportError: + # no write support, probably under GAE + WRITE_SUPPORT = False + +from os import open as os_open +from os.path import isdir, split + +try: + import importlib.machinery as importlib_machinery + # access attribute to force import under delayed import mechanisms. + importlib_machinery.__name__ +except ImportError: + importlib_machinery = None + +from . import py31compat +from pkg_resources.extern import appdirs +from pkg_resources.extern import packaging +__import__('pkg_resources.extern.packaging.version') +__import__('pkg_resources.extern.packaging.specifiers') +__import__('pkg_resources.extern.packaging.requirements') +__import__('pkg_resources.extern.packaging.markers') + + +__metaclass__ = type + + +if (3, 0) < sys.version_info < (3, 4): + raise RuntimeError("Python 3.4 or later is required") + +if six.PY2: + # Those builtin exceptions are only defined in Python 3 + PermissionError = None + NotADirectoryError = None + +# declare some globals that will be defined later to +# satisfy the linters. +require = None +working_set = None +add_activation_listener = None +resources_stream = None +cleanup_resources = None +resource_dir = None +resource_stream = None +set_extraction_path = None +resource_isdir = None +resource_string = None +iter_entry_points = None +resource_listdir = None +resource_filename = None +resource_exists = None +_distribution_finders = None +_namespace_handlers = None +_namespace_packages = None + + +class PEP440Warning(RuntimeWarning): + """ + Used when there is an issue with a version or specifier not complying with + PEP 440. + """ + + +def parse_version(v): + try: + return packaging.version.Version(v) + except packaging.version.InvalidVersion: + return packaging.version.LegacyVersion(v) + + +_state_vars = {} + + +def _declare_state(vartype, **kw): + globals().update(kw) + _state_vars.update(dict.fromkeys(kw, vartype)) + + +def __getstate__(): + state = {} + g = globals() + for k, v in _state_vars.items(): + state[k] = g['_sget_' + v](g[k]) + return state + + +def __setstate__(state): + g = globals() + for k, v in state.items(): + g['_sset_' + _state_vars[k]](k, g[k], v) + return state + + +def _sget_dict(val): + return val.copy() + + +def _sset_dict(key, ob, state): + ob.clear() + ob.update(state) + + +def _sget_object(val): + return val.__getstate__() + + +def _sset_object(key, ob, state): + ob.__setstate__(state) + + +_sget_none = _sset_none = lambda *args: None + + +def get_supported_platform(): + """Return this platform's maximum compatible version. + + distutils.util.get_platform() normally reports the minimum version + of Mac OS X that would be required to *use* extensions produced by + distutils. But what we want when checking compatibility is to know the + version of Mac OS X that we are *running*. To allow usage of packages that + explicitly require a newer version of Mac OS X, we must also know the + current version of the OS. + + If this condition occurs for any other platform with a version in its + platform strings, this function should be extended accordingly. + """ + plat = get_build_platform() + m = macosVersionString.match(plat) + if m is not None and sys.platform == "darwin": + try: + plat = 'macosx-%s-%s' % ('.'.join(_macosx_vers()[:2]), m.group(3)) + except ValueError: + # not Mac OS X + pass + return plat + + +__all__ = [ + # Basic resource access and distribution/entry point discovery + 'require', 'run_script', 'get_provider', 'get_distribution', + 'load_entry_point', 'get_entry_map', 'get_entry_info', + 'iter_entry_points', + 'resource_string', 'resource_stream', 'resource_filename', + 'resource_listdir', 'resource_exists', 'resource_isdir', + + # Environmental control + 'declare_namespace', 'working_set', 'add_activation_listener', + 'find_distributions', 'set_extraction_path', 'cleanup_resources', + 'get_default_cache', + + # Primary implementation classes + 'Environment', 'WorkingSet', 'ResourceManager', + 'Distribution', 'Requirement', 'EntryPoint', + + # Exceptions + 'ResolutionError', 'VersionConflict', 'DistributionNotFound', + 'UnknownExtra', 'ExtractionError', + + # Warnings + 'PEP440Warning', + + # Parsing functions and string utilities + 'parse_requirements', 'parse_version', 'safe_name', 'safe_version', + 'get_platform', 'compatible_platforms', 'yield_lines', 'split_sections', + 'safe_extra', 'to_filename', 'invalid_marker', 'evaluate_marker', + + # filesystem utilities + 'ensure_directory', 'normalize_path', + + # Distribution "precedence" constants + 'EGG_DIST', 'BINARY_DIST', 'SOURCE_DIST', 'CHECKOUT_DIST', 'DEVELOP_DIST', + + # "Provider" interfaces, implementations, and registration/lookup APIs + 'IMetadataProvider', 'IResourceProvider', 'FileMetadata', + 'PathMetadata', 'EggMetadata', 'EmptyProvider', 'empty_provider', + 'NullProvider', 'EggProvider', 'DefaultProvider', 'ZipProvider', + 'register_finder', 'register_namespace_handler', 'register_loader_type', + 'fixup_namespace_packages', 'get_importer', + + # Warnings + 'PkgResourcesDeprecationWarning', + + # Deprecated/backward compatibility only + 'run_main', 'AvailableDistributions', +] + + +class ResolutionError(Exception): + """Abstract base for dependency resolution errors""" + + def __repr__(self): + return self.__class__.__name__ + repr(self.args) + + +class VersionConflict(ResolutionError): + """ + An already-installed version conflicts with the requested version. + + Should be initialized with the installed Distribution and the requested + Requirement. + """ + + _template = "{self.dist} is installed but {self.req} is required" + + @property + def dist(self): + return self.args[0] + + @property + def req(self): + return self.args[1] + + def report(self): + return self._template.format(**locals()) + + def with_context(self, required_by): + """ + If required_by is non-empty, return a version of self that is a + ContextualVersionConflict. + """ + if not required_by: + return self + args = self.args + (required_by,) + return ContextualVersionConflict(*args) + + +class ContextualVersionConflict(VersionConflict): + """ + A VersionConflict that accepts a third parameter, the set of the + requirements that required the installed Distribution. + """ + + _template = VersionConflict._template + ' by {self.required_by}' + + @property + def required_by(self): + return self.args[2] + + +class DistributionNotFound(ResolutionError): + """A requested distribution was not found""" + + _template = ("The '{self.req}' distribution was not found " + "and is required by {self.requirers_str}") + + @property + def req(self): + return self.args[0] + + @property + def requirers(self): + return self.args[1] + + @property + def requirers_str(self): + if not self.requirers: + return 'the application' + return ', '.join(self.requirers) + + def report(self): + return self._template.format(**locals()) + + def __str__(self): + return self.report() + + +class UnknownExtra(ResolutionError): + """Distribution doesn't have an "extra feature" of the given name""" + + +_provider_factories = {} + +PY_MAJOR = sys.version[:3] +EGG_DIST = 3 +BINARY_DIST = 2 +SOURCE_DIST = 1 +CHECKOUT_DIST = 0 +DEVELOP_DIST = -1 + + +def register_loader_type(loader_type, provider_factory): + """Register `provider_factory` to make providers for `loader_type` + + `loader_type` is the type or class of a PEP 302 ``module.__loader__``, + and `provider_factory` is a function that, passed a *module* object, + returns an ``IResourceProvider`` for that module. + """ + _provider_factories[loader_type] = provider_factory + + +def get_provider(moduleOrReq): + """Return an IResourceProvider for the named module or requirement""" + if isinstance(moduleOrReq, Requirement): + return working_set.find(moduleOrReq) or require(str(moduleOrReq))[0] + try: + module = sys.modules[moduleOrReq] + except KeyError: + __import__(moduleOrReq) + module = sys.modules[moduleOrReq] + loader = getattr(module, '__loader__', None) + return _find_adapter(_provider_factories, loader)(module) + + +def _macosx_vers(_cache=[]): + if not _cache: + version = platform.mac_ver()[0] + # fallback for MacPorts + if version == '': + plist = '/System/Library/CoreServices/SystemVersion.plist' + if os.path.exists(plist): + if hasattr(plistlib, 'readPlist'): + plist_content = plistlib.readPlist(plist) + if 'ProductVersion' in plist_content: + version = plist_content['ProductVersion'] + + _cache.append(version.split('.')) + return _cache[0] + + +def _macosx_arch(machine): + return {'PowerPC': 'ppc', 'Power_Macintosh': 'ppc'}.get(machine, machine) + + +def get_build_platform(): + """Return this platform's string for platform-specific distributions + + XXX Currently this is the same as ``distutils.util.get_platform()``, but it + needs some hacks for Linux and Mac OS X. + """ + from sysconfig import get_platform + + plat = get_platform() + if sys.platform == "darwin" and not plat.startswith('macosx-'): + try: + version = _macosx_vers() + machine = os.uname()[4].replace(" ", "_") + return "macosx-%d.%d-%s" % ( + int(version[0]), int(version[1]), + _macosx_arch(machine), + ) + except ValueError: + # if someone is running a non-Mac darwin system, this will fall + # through to the default implementation + pass + return plat + + +macosVersionString = re.compile(r"macosx-(\d+)\.(\d+)-(.*)") +darwinVersionString = re.compile(r"darwin-(\d+)\.(\d+)\.(\d+)-(.*)") +# XXX backward compat +get_platform = get_build_platform + + +def compatible_platforms(provided, required): + """Can code for the `provided` platform run on the `required` platform? + + Returns true if either platform is ``None``, or the platforms are equal. + + XXX Needs compatibility checks for Linux and other unixy OSes. + """ + if provided is None or required is None or provided == required: + # easy case + return True + + # Mac OS X special cases + reqMac = macosVersionString.match(required) + if reqMac: + provMac = macosVersionString.match(provided) + + # is this a Mac package? + if not provMac: + # this is backwards compatibility for packages built before + # setuptools 0.6. All packages built after this point will + # use the new macosx designation. + provDarwin = darwinVersionString.match(provided) + if provDarwin: + dversion = int(provDarwin.group(1)) + macosversion = "%s.%s" % (reqMac.group(1), reqMac.group(2)) + if dversion == 7 and macosversion >= "10.3" or \ + dversion == 8 and macosversion >= "10.4": + return True + # egg isn't macosx or legacy darwin + return False + + # are they the same major version and machine type? + if provMac.group(1) != reqMac.group(1) or \ + provMac.group(3) != reqMac.group(3): + return False + + # is the required OS major update >= the provided one? + if int(provMac.group(2)) > int(reqMac.group(2)): + return False + + return True + + # XXX Linux and other platforms' special cases should go here + return False + + +def run_script(dist_spec, script_name): + """Locate distribution `dist_spec` and run its `script_name` script""" + ns = sys._getframe(1).f_globals + name = ns['__name__'] + ns.clear() + ns['__name__'] = name + require(dist_spec)[0].run_script(script_name, ns) + + +# backward compatibility +run_main = run_script + + +def get_distribution(dist): + """Return a current distribution object for a Requirement or string""" + if isinstance(dist, six.string_types): + dist = Requirement.parse(dist) + if isinstance(dist, Requirement): + dist = get_provider(dist) + if not isinstance(dist, Distribution): + raise TypeError("Expected string, Requirement, or Distribution", dist) + return dist + + +def load_entry_point(dist, group, name): + """Return `name` entry point of `group` for `dist` or raise ImportError""" + return get_distribution(dist).load_entry_point(group, name) + + +def get_entry_map(dist, group=None): + """Return the entry point map for `group`, or the full entry map""" + return get_distribution(dist).get_entry_map(group) + + +def get_entry_info(dist, group, name): + """Return the EntryPoint object for `group`+`name`, or ``None``""" + return get_distribution(dist).get_entry_info(group, name) + + +class IMetadataProvider: + def has_metadata(name): + """Does the package's distribution contain the named metadata?""" + + def get_metadata(name): + """The named metadata resource as a string""" + + def get_metadata_lines(name): + """Yield named metadata resource as list of non-blank non-comment lines + + Leading and trailing whitespace is stripped from each line, and lines + with ``#`` as the first non-blank character are omitted.""" + + def metadata_isdir(name): + """Is the named metadata a directory? (like ``os.path.isdir()``)""" + + def metadata_listdir(name): + """List of metadata names in the directory (like ``os.listdir()``)""" + + def run_script(script_name, namespace): + """Execute the named script in the supplied namespace dictionary""" + + +class IResourceProvider(IMetadataProvider): + """An object that provides access to package resources""" + + def get_resource_filename(manager, resource_name): + """Return a true filesystem path for `resource_name` + + `manager` must be an ``IResourceManager``""" + + def get_resource_stream(manager, resource_name): + """Return a readable file-like object for `resource_name` + + `manager` must be an ``IResourceManager``""" + + def get_resource_string(manager, resource_name): + """Return a string containing the contents of `resource_name` + + `manager` must be an ``IResourceManager``""" + + def has_resource(resource_name): + """Does the package contain the named resource?""" + + def resource_isdir(resource_name): + """Is the named resource a directory? (like ``os.path.isdir()``)""" + + def resource_listdir(resource_name): + """List of resource names in the directory (like ``os.listdir()``)""" + + +class WorkingSet: + """A collection of active distributions on sys.path (or a similar list)""" + + def __init__(self, entries=None): + """Create working set from list of path entries (default=sys.path)""" + self.entries = [] + self.entry_keys = {} + self.by_key = {} + self.callbacks = [] + + if entries is None: + entries = sys.path + + for entry in entries: + self.add_entry(entry) + + @classmethod + def _build_master(cls): + """ + Prepare the master working set. + """ + ws = cls() + try: + from __main__ import __requires__ + except ImportError: + # The main program does not list any requirements + return ws + + # ensure the requirements are met + try: + ws.require(__requires__) + except VersionConflict: + return cls._build_from_requirements(__requires__) + + return ws + + @classmethod + def _build_from_requirements(cls, req_spec): + """ + Build a working set from a requirement spec. Rewrites sys.path. + """ + # try it without defaults already on sys.path + # by starting with an empty path + ws = cls([]) + reqs = parse_requirements(req_spec) + dists = ws.resolve(reqs, Environment()) + for dist in dists: + ws.add(dist) + + # add any missing entries from sys.path + for entry in sys.path: + if entry not in ws.entries: + ws.add_entry(entry) + + # then copy back to sys.path + sys.path[:] = ws.entries + return ws + + def add_entry(self, entry): + """Add a path item to ``.entries``, finding any distributions on it + + ``find_distributions(entry, True)`` is used to find distributions + corresponding to the path entry, and they are added. `entry` is + always appended to ``.entries``, even if it is already present. + (This is because ``sys.path`` can contain the same value more than + once, and the ``.entries`` of the ``sys.path`` WorkingSet should always + equal ``sys.path``.) + """ + self.entry_keys.setdefault(entry, []) + self.entries.append(entry) + for dist in find_distributions(entry, True): + self.add(dist, entry, False) + + def __contains__(self, dist): + """True if `dist` is the active distribution for its project""" + return self.by_key.get(dist.key) == dist + + def find(self, req): + """Find a distribution matching requirement `req` + + If there is an active distribution for the requested project, this + returns it as long as it meets the version requirement specified by + `req`. But, if there is an active distribution for the project and it + does *not* meet the `req` requirement, ``VersionConflict`` is raised. + If there is no active distribution for the requested project, ``None`` + is returned. + """ + dist = self.by_key.get(req.key) + if dist is not None and dist not in req: + # XXX add more info + raise VersionConflict(dist, req) + return dist + + def iter_entry_points(self, group, name=None): + """Yield entry point objects from `group` matching `name` + + If `name` is None, yields all entry points in `group` from all + distributions in the working set, otherwise only ones matching + both `group` and `name` are yielded (in distribution order). + """ + return ( + entry + for dist in self + for entry in dist.get_entry_map(group).values() + if name is None or name == entry.name + ) + + def run_script(self, requires, script_name): + """Locate distribution for `requires` and run `script_name` script""" + ns = sys._getframe(1).f_globals + name = ns['__name__'] + ns.clear() + ns['__name__'] = name + self.require(requires)[0].run_script(script_name, ns) + + def __iter__(self): + """Yield distributions for non-duplicate projects in the working set + + The yield order is the order in which the items' path entries were + added to the working set. + """ + seen = {} + for item in self.entries: + if item not in self.entry_keys: + # workaround a cache issue + continue + + for key in self.entry_keys[item]: + if key not in seen: + seen[key] = 1 + yield self.by_key[key] + + def add(self, dist, entry=None, insert=True, replace=False): + """Add `dist` to working set, associated with `entry` + + If `entry` is unspecified, it defaults to the ``.location`` of `dist`. + On exit from this routine, `entry` is added to the end of the working + set's ``.entries`` (if it wasn't already present). + + `dist` is only added to the working set if it's for a project that + doesn't already have a distribution in the set, unless `replace=True`. + If it's added, any callbacks registered with the ``subscribe()`` method + will be called. + """ + if insert: + dist.insert_on(self.entries, entry, replace=replace) + + if entry is None: + entry = dist.location + keys = self.entry_keys.setdefault(entry, []) + keys2 = self.entry_keys.setdefault(dist.location, []) + if not replace and dist.key in self.by_key: + # ignore hidden distros + return + + self.by_key[dist.key] = dist + if dist.key not in keys: + keys.append(dist.key) + if dist.key not in keys2: + keys2.append(dist.key) + self._added_new(dist) + + def resolve(self, requirements, env=None, installer=None, + replace_conflicting=False, extras=None): + """List all distributions needed to (recursively) meet `requirements` + + `requirements` must be a sequence of ``Requirement`` objects. `env`, + if supplied, should be an ``Environment`` instance. If + not supplied, it defaults to all distributions available within any + entry or distribution in the working set. `installer`, if supplied, + will be invoked with each requirement that cannot be met by an + already-installed distribution; it should return a ``Distribution`` or + ``None``. + + Unless `replace_conflicting=True`, raises a VersionConflict exception + if + any requirements are found on the path that have the correct name but + the wrong version. Otherwise, if an `installer` is supplied it will be + invoked to obtain the correct version of the requirement and activate + it. + + `extras` is a list of the extras to be used with these requirements. + This is important because extra requirements may look like `my_req; + extra = "my_extra"`, which would otherwise be interpreted as a purely + optional requirement. Instead, we want to be able to assert that these + requirements are truly required. + """ + + # set up the stack + requirements = list(requirements)[::-1] + # set of processed requirements + processed = {} + # key -> dist + best = {} + to_activate = [] + + req_extras = _ReqExtras() + + # Mapping of requirement to set of distributions that required it; + # useful for reporting info about conflicts. + required_by = collections.defaultdict(set) + + while requirements: + # process dependencies breadth-first + req = requirements.pop(0) + if req in processed: + # Ignore cyclic or redundant dependencies + continue + + if not req_extras.markers_pass(req, extras): + continue + + dist = best.get(req.key) + if dist is None: + # Find the best distribution and add it to the map + dist = self.by_key.get(req.key) + if dist is None or (dist not in req and replace_conflicting): + ws = self + if env is None: + if dist is None: + env = Environment(self.entries) + else: + # Use an empty environment and workingset to avoid + # any further conflicts with the conflicting + # distribution + env = Environment([]) + ws = WorkingSet([]) + dist = best[req.key] = env.best_match( + req, ws, installer, + replace_conflicting=replace_conflicting + ) + if dist is None: + requirers = required_by.get(req, None) + raise DistributionNotFound(req, requirers) + to_activate.append(dist) + if dist not in req: + # Oops, the "best" so far conflicts with a dependency + dependent_req = required_by[req] + raise VersionConflict(dist, req).with_context(dependent_req) + + # push the new requirements onto the stack + new_requirements = dist.requires(req.extras)[::-1] + requirements.extend(new_requirements) + + # Register the new requirements needed by req + for new_requirement in new_requirements: + required_by[new_requirement].add(req.project_name) + req_extras[new_requirement] = req.extras + + processed[req] = True + + # return list of distros to activate + return to_activate + + def find_plugins( + self, plugin_env, full_env=None, installer=None, fallback=True): + """Find all activatable distributions in `plugin_env` + + Example usage:: + + distributions, errors = working_set.find_plugins( + Environment(plugin_dirlist) + ) + # add plugins+libs to sys.path + map(working_set.add, distributions) + # display errors + print('Could not load', errors) + + The `plugin_env` should be an ``Environment`` instance that contains + only distributions that are in the project's "plugin directory" or + directories. The `full_env`, if supplied, should be an ``Environment`` + contains all currently-available distributions. If `full_env` is not + supplied, one is created automatically from the ``WorkingSet`` this + method is called on, which will typically mean that every directory on + ``sys.path`` will be scanned for distributions. + + `installer` is a standard installer callback as used by the + ``resolve()`` method. The `fallback` flag indicates whether we should + attempt to resolve older versions of a plugin if the newest version + cannot be resolved. + + This method returns a 2-tuple: (`distributions`, `error_info`), where + `distributions` is a list of the distributions found in `plugin_env` + that were loadable, along with any other distributions that are needed + to resolve their dependencies. `error_info` is a dictionary mapping + unloadable plugin distributions to an exception instance describing the + error that occurred. Usually this will be a ``DistributionNotFound`` or + ``VersionConflict`` instance. + """ + + plugin_projects = list(plugin_env) + # scan project names in alphabetic order + plugin_projects.sort() + + error_info = {} + distributions = {} + + if full_env is None: + env = Environment(self.entries) + env += plugin_env + else: + env = full_env + plugin_env + + shadow_set = self.__class__([]) + # put all our entries in shadow_set + list(map(shadow_set.add, self)) + + for project_name in plugin_projects: + + for dist in plugin_env[project_name]: + + req = [dist.as_requirement()] + + try: + resolvees = shadow_set.resolve(req, env, installer) + + except ResolutionError as v: + # save error info + error_info[dist] = v + if fallback: + # try the next older version of project + continue + else: + # give up on this project, keep going + break + + else: + list(map(shadow_set.add, resolvees)) + distributions.update(dict.fromkeys(resolvees)) + + # success, no need to try any more versions of this project + break + + distributions = list(distributions) + distributions.sort() + + return distributions, error_info + + def require(self, *requirements): + """Ensure that distributions matching `requirements` are activated + + `requirements` must be a string or a (possibly-nested) sequence + thereof, specifying the distributions and versions required. The + return value is a sequence of the distributions that needed to be + activated to fulfill the requirements; all relevant distributions are + included, even if they were already activated in this working set. + """ + needed = self.resolve(parse_requirements(requirements)) + + for dist in needed: + self.add(dist) + + return needed + + def subscribe(self, callback, existing=True): + """Invoke `callback` for all distributions + + If `existing=True` (default), + call on all existing ones, as well. + """ + if callback in self.callbacks: + return + self.callbacks.append(callback) + if not existing: + return + for dist in self: + callback(dist) + + def _added_new(self, dist): + for callback in self.callbacks: + callback(dist) + + def __getstate__(self): + return ( + self.entries[:], self.entry_keys.copy(), self.by_key.copy(), + self.callbacks[:] + ) + + def __setstate__(self, e_k_b_c): + entries, keys, by_key, callbacks = e_k_b_c + self.entries = entries[:] + self.entry_keys = keys.copy() + self.by_key = by_key.copy() + self.callbacks = callbacks[:] + + +class _ReqExtras(dict): + """ + Map each requirement to the extras that demanded it. + """ + + def markers_pass(self, req, extras=None): + """ + Evaluate markers for req against each extra that + demanded it. + + Return False if the req has a marker and fails + evaluation. Otherwise, return True. + """ + extra_evals = ( + req.marker.evaluate({'extra': extra}) + for extra in self.get(req, ()) + (extras or (None,)) + ) + return not req.marker or any(extra_evals) + + +class Environment: + """Searchable snapshot of distributions on a search path""" + + def __init__( + self, search_path=None, platform=get_supported_platform(), + python=PY_MAJOR): + """Snapshot distributions available on a search path + + Any distributions found on `search_path` are added to the environment. + `search_path` should be a sequence of ``sys.path`` items. If not + supplied, ``sys.path`` is used. + + `platform` is an optional string specifying the name of the platform + that platform-specific distributions must be compatible with. If + unspecified, it defaults to the current platform. `python` is an + optional string naming the desired version of Python (e.g. ``'3.6'``); + it defaults to the current version. + + You may explicitly set `platform` (and/or `python`) to ``None`` if you + wish to map *all* distributions, not just those compatible with the + running platform or Python version. + """ + self._distmap = {} + self.platform = platform + self.python = python + self.scan(search_path) + + def can_add(self, dist): + """Is distribution `dist` acceptable for this environment? + + The distribution must match the platform and python version + requirements specified when this environment was created, or False + is returned. + """ + py_compat = ( + self.python is None + or dist.py_version is None + or dist.py_version == self.python + ) + return py_compat and compatible_platforms(dist.platform, self.platform) + + def remove(self, dist): + """Remove `dist` from the environment""" + self._distmap[dist.key].remove(dist) + + def scan(self, search_path=None): + """Scan `search_path` for distributions usable in this environment + + Any distributions found are added to the environment. + `search_path` should be a sequence of ``sys.path`` items. If not + supplied, ``sys.path`` is used. Only distributions conforming to + the platform/python version defined at initialization are added. + """ + if search_path is None: + search_path = sys.path + + for item in search_path: + for dist in find_distributions(item): + self.add(dist) + + def __getitem__(self, project_name): + """Return a newest-to-oldest list of distributions for `project_name` + + Uses case-insensitive `project_name` comparison, assuming all the + project's distributions use their project's name converted to all + lowercase as their key. + + """ + distribution_key = project_name.lower() + return self._distmap.get(distribution_key, []) + + def add(self, dist): + """Add `dist` if we ``can_add()`` it and it has not already been added + """ + if self.can_add(dist) and dist.has_version(): + dists = self._distmap.setdefault(dist.key, []) + if dist not in dists: + dists.append(dist) + dists.sort(key=operator.attrgetter('hashcmp'), reverse=True) + + def best_match( + self, req, working_set, installer=None, replace_conflicting=False): + """Find distribution best matching `req` and usable on `working_set` + + This calls the ``find(req)`` method of the `working_set` to see if a + suitable distribution is already active. (This may raise + ``VersionConflict`` if an unsuitable version of the project is already + active in the specified `working_set`.) If a suitable distribution + isn't active, this method returns the newest distribution in the + environment that meets the ``Requirement`` in `req`. If no suitable + distribution is found, and `installer` is supplied, then the result of + calling the environment's ``obtain(req, installer)`` method will be + returned. + """ + try: + dist = working_set.find(req) + except VersionConflict: + if not replace_conflicting: + raise + dist = None + if dist is not None: + return dist + for dist in self[req.key]: + if dist in req: + return dist + # try to download/install + return self.obtain(req, installer) + + def obtain(self, requirement, installer=None): + """Obtain a distribution matching `requirement` (e.g. via download) + + Obtain a distro that matches requirement (e.g. via download). In the + base ``Environment`` class, this routine just returns + ``installer(requirement)``, unless `installer` is None, in which case + None is returned instead. This method is a hook that allows subclasses + to attempt other ways of obtaining a distribution before falling back + to the `installer` argument.""" + if installer is not None: + return installer(requirement) + + def __iter__(self): + """Yield the unique project names of the available distributions""" + for key in self._distmap.keys(): + if self[key]: + yield key + + def __iadd__(self, other): + """In-place addition of a distribution or environment""" + if isinstance(other, Distribution): + self.add(other) + elif isinstance(other, Environment): + for project in other: + for dist in other[project]: + self.add(dist) + else: + raise TypeError("Can't add %r to environment" % (other,)) + return self + + def __add__(self, other): + """Add an environment or distribution to an environment""" + new = self.__class__([], platform=None, python=None) + for env in self, other: + new += env + return new + + +# XXX backward compatibility +AvailableDistributions = Environment + + +class ExtractionError(RuntimeError): + """An error occurred extracting a resource + + The following attributes are available from instances of this exception: + + manager + The resource manager that raised this exception + + cache_path + The base directory for resource extraction + + original_error + The exception instance that caused extraction to fail + """ + + +class ResourceManager: + """Manage resource extraction and packages""" + extraction_path = None + + def __init__(self): + self.cached_files = {} + + def resource_exists(self, package_or_requirement, resource_name): + """Does the named resource exist?""" + return get_provider(package_or_requirement).has_resource(resource_name) + + def resource_isdir(self, package_or_requirement, resource_name): + """Is the named resource an existing directory?""" + return get_provider(package_or_requirement).resource_isdir( + resource_name + ) + + def resource_filename(self, package_or_requirement, resource_name): + """Return a true filesystem path for specified resource""" + return get_provider(package_or_requirement).get_resource_filename( + self, resource_name + ) + + def resource_stream(self, package_or_requirement, resource_name): + """Return a readable file-like object for specified resource""" + return get_provider(package_or_requirement).get_resource_stream( + self, resource_name + ) + + def resource_string(self, package_or_requirement, resource_name): + """Return specified resource as a string""" + return get_provider(package_or_requirement).get_resource_string( + self, resource_name + ) + + def resource_listdir(self, package_or_requirement, resource_name): + """List the contents of the named resource directory""" + return get_provider(package_or_requirement).resource_listdir( + resource_name + ) + + def extraction_error(self): + """Give an error message for problems extracting file(s)""" + + old_exc = sys.exc_info()[1] + cache_path = self.extraction_path or get_default_cache() + + tmpl = textwrap.dedent(""" + Can't extract file(s) to egg cache + + The following error occurred while trying to extract file(s) + to the Python egg cache: + + {old_exc} + + The Python egg cache directory is currently set to: + + {cache_path} + + Perhaps your account does not have write access to this directory? + You can change the cache directory by setting the PYTHON_EGG_CACHE + environment variable to point to an accessible directory. + """).lstrip() + err = ExtractionError(tmpl.format(**locals())) + err.manager = self + err.cache_path = cache_path + err.original_error = old_exc + raise err + + def get_cache_path(self, archive_name, names=()): + """Return absolute location in cache for `archive_name` and `names` + + The parent directory of the resulting path will be created if it does + not already exist. `archive_name` should be the base filename of the + enclosing egg (which may not be the name of the enclosing zipfile!), + including its ".egg" extension. `names`, if provided, should be a + sequence of path name parts "under" the egg's extraction location. + + This method should only be called by resource providers that need to + obtain an extraction location, and only for names they intend to + extract, as it tracks the generated names for possible cleanup later. + """ + extract_path = self.extraction_path or get_default_cache() + target_path = os.path.join(extract_path, archive_name + '-tmp', *names) + try: + _bypass_ensure_directory(target_path) + except Exception: + self.extraction_error() + + self._warn_unsafe_extraction_path(extract_path) + + self.cached_files[target_path] = 1 + return target_path + + @staticmethod + def _warn_unsafe_extraction_path(path): + """ + If the default extraction path is overridden and set to an insecure + location, such as /tmp, it opens up an opportunity for an attacker to + replace an extracted file with an unauthorized payload. Warn the user + if a known insecure location is used. + + See Distribute #375 for more details. + """ + if os.name == 'nt' and not path.startswith(os.environ['windir']): + # On Windows, permissions are generally restrictive by default + # and temp directories are not writable by other users, so + # bypass the warning. + return + mode = os.stat(path).st_mode + if mode & stat.S_IWOTH or mode & stat.S_IWGRP: + msg = ( + "%s is writable by group/others and vulnerable to attack " + "when " + "used with get_resource_filename. Consider a more secure " + "location (set with .set_extraction_path or the " + "PYTHON_EGG_CACHE environment variable)." % path + ) + warnings.warn(msg, UserWarning) + + def postprocess(self, tempname, filename): + """Perform any platform-specific postprocessing of `tempname` + + This is where Mac header rewrites should be done; other platforms don't + have anything special they should do. + + Resource providers should call this method ONLY after successfully + extracting a compressed resource. They must NOT call it on resources + that are already in the filesystem. + + `tempname` is the current (temporary) name of the file, and `filename` + is the name it will be renamed to by the caller after this routine + returns. + """ + + if os.name == 'posix': + # Make the resource executable + mode = ((os.stat(tempname).st_mode) | 0o555) & 0o7777 + os.chmod(tempname, mode) + + def set_extraction_path(self, path): + """Set the base path where resources will be extracted to, if needed. + + If you do not call this routine before any extractions take place, the + path defaults to the return value of ``get_default_cache()``. (Which + is based on the ``PYTHON_EGG_CACHE`` environment variable, with various + platform-specific fallbacks. See that routine's documentation for more + details.) + + Resources are extracted to subdirectories of this path based upon + information given by the ``IResourceProvider``. You may set this to a + temporary directory, but then you must call ``cleanup_resources()`` to + delete the extracted files when done. There is no guarantee that + ``cleanup_resources()`` will be able to remove all extracted files. + + (Note: you may not change the extraction path for a given resource + manager once resources have been extracted, unless you first call + ``cleanup_resources()``.) + """ + if self.cached_files: + raise ValueError( + "Can't change extraction path, files already extracted" + ) + + self.extraction_path = path + + def cleanup_resources(self, force=False): + """ + Delete all extracted resource files and directories, returning a list + of the file and directory names that could not be successfully removed. + This function does not have any concurrency protection, so it should + generally only be called when the extraction path is a temporary + directory exclusive to a single process. This method is not + automatically called; you must call it explicitly or register it as an + ``atexit`` function if you wish to ensure cleanup of a temporary + directory used for extractions. + """ + # XXX + + +def get_default_cache(): + """ + Return the ``PYTHON_EGG_CACHE`` environment variable + or a platform-relevant user cache dir for an app + named "Python-Eggs". + """ + return ( + os.environ.get('PYTHON_EGG_CACHE') + or appdirs.user_cache_dir(appname='Python-Eggs') + ) + + +def safe_name(name): + """Convert an arbitrary string to a standard distribution name + + Any runs of non-alphanumeric/. characters are replaced with a single '-'. + """ + return re.sub('[^A-Za-z0-9.]+', '-', name) + + +def safe_version(version): + """ + Convert an arbitrary string to a standard version string + """ + try: + # normalize the version + return str(packaging.version.Version(version)) + except packaging.version.InvalidVersion: + version = version.replace(' ', '.') + return re.sub('[^A-Za-z0-9.]+', '-', version) + + +def safe_extra(extra): + """Convert an arbitrary string to a standard 'extra' name + + Any runs of non-alphanumeric characters are replaced with a single '_', + and the result is always lowercased. + """ + return re.sub('[^A-Za-z0-9.-]+', '_', extra).lower() + + +def to_filename(name): + """Convert a project or version name to its filename-escaped form + + Any '-' characters are currently replaced with '_'. + """ + return name.replace('-', '_') + + +def invalid_marker(text): + """ + Validate text as a PEP 508 environment marker; return an exception + if invalid or False otherwise. + """ + try: + evaluate_marker(text) + except SyntaxError as e: + e.filename = None + e.lineno = None + return e + return False + + +def evaluate_marker(text, extra=None): + """ + Evaluate a PEP 508 environment marker. + Return a boolean indicating the marker result in this environment. + Raise SyntaxError if marker is invalid. + + This implementation uses the 'pyparsing' module. + """ + try: + marker = packaging.markers.Marker(text) + return marker.evaluate() + except packaging.markers.InvalidMarker as e: + raise SyntaxError(e) + + +class NullProvider: + """Try to implement resources and metadata for arbitrary PEP 302 loaders""" + + egg_name = None + egg_info = None + loader = None + + def __init__(self, module): + self.loader = getattr(module, '__loader__', None) + self.module_path = os.path.dirname(getattr(module, '__file__', '')) + + def get_resource_filename(self, manager, resource_name): + return self._fn(self.module_path, resource_name) + + def get_resource_stream(self, manager, resource_name): + return io.BytesIO(self.get_resource_string(manager, resource_name)) + + def get_resource_string(self, manager, resource_name): + return self._get(self._fn(self.module_path, resource_name)) + + def has_resource(self, resource_name): + return self._has(self._fn(self.module_path, resource_name)) + + def _get_metadata_path(self, name): + return self._fn(self.egg_info, name) + + def has_metadata(self, name): + if not self.egg_info: + return self.egg_info + + path = self._get_metadata_path(name) + return self._has(path) + + def get_metadata(self, name): + if not self.egg_info: + return "" + path = self._get_metadata_path(name) + value = self._get(path) + if six.PY2: + return value + try: + return value.decode('utf-8') + except UnicodeDecodeError as exc: + # Include the path in the error message to simplify + # troubleshooting, and without changing the exception type. + exc.reason += ' in {} file at path: {}'.format(name, path) + raise + + def get_metadata_lines(self, name): + return yield_lines(self.get_metadata(name)) + + def resource_isdir(self, resource_name): + return self._isdir(self._fn(self.module_path, resource_name)) + + def metadata_isdir(self, name): + return self.egg_info and self._isdir(self._fn(self.egg_info, name)) + + def resource_listdir(self, resource_name): + return self._listdir(self._fn(self.module_path, resource_name)) + + def metadata_listdir(self, name): + if self.egg_info: + return self._listdir(self._fn(self.egg_info, name)) + return [] + + def run_script(self, script_name, namespace): + script = 'scripts/' + script_name + if not self.has_metadata(script): + raise ResolutionError( + "Script {script!r} not found in metadata at {self.egg_info!r}" + .format(**locals()), + ) + script_text = self.get_metadata(script).replace('\r\n', '\n') + script_text = script_text.replace('\r', '\n') + script_filename = self._fn(self.egg_info, script) + namespace['__file__'] = script_filename + if os.path.exists(script_filename): + source = open(script_filename).read() + code = compile(source, script_filename, 'exec') + exec(code, namespace, namespace) + else: + from linecache import cache + cache[script_filename] = ( + len(script_text), 0, script_text.split('\n'), script_filename + ) + script_code = compile(script_text, script_filename, 'exec') + exec(script_code, namespace, namespace) + + def _has(self, path): + raise NotImplementedError( + "Can't perform this operation for unregistered loader type" + ) + + def _isdir(self, path): + raise NotImplementedError( + "Can't perform this operation for unregistered loader type" + ) + + def _listdir(self, path): + raise NotImplementedError( + "Can't perform this operation for unregistered loader type" + ) + + def _fn(self, base, resource_name): + self._validate_resource_path(resource_name) + if resource_name: + return os.path.join(base, *resource_name.split('/')) + return base + + @staticmethod + def _validate_resource_path(path): + """ + Validate the resource paths according to the docs. + https://setuptools.readthedocs.io/en/latest/pkg_resources.html#basic-resource-access + + >>> warned = getfixture('recwarn') + >>> warnings.simplefilter('always') + >>> vrp = NullProvider._validate_resource_path + >>> vrp('foo/bar.txt') + >>> bool(warned) + False + >>> vrp('../foo/bar.txt') + >>> bool(warned) + True + >>> warned.clear() + >>> vrp('/foo/bar.txt') + >>> bool(warned) + True + >>> vrp('foo/../../bar.txt') + >>> bool(warned) + True + >>> warned.clear() + >>> vrp('foo/f../bar.txt') + >>> bool(warned) + False + + Windows path separators are straight-up disallowed. + >>> vrp(r'\\foo/bar.txt') + Traceback (most recent call last): + ... + ValueError: Use of .. or absolute path in a resource path \ +is not allowed. + + >>> vrp(r'C:\\foo/bar.txt') + Traceback (most recent call last): + ... + ValueError: Use of .. or absolute path in a resource path \ +is not allowed. + + Blank values are allowed + + >>> vrp('') + >>> bool(warned) + False + + Non-string values are not. + + >>> vrp(None) + Traceback (most recent call last): + ... + AttributeError: ... + """ + invalid = ( + os.path.pardir in path.split(posixpath.sep) or + posixpath.isabs(path) or + ntpath.isabs(path) + ) + if not invalid: + return + + msg = "Use of .. or absolute path in a resource path is not allowed." + + # Aggressively disallow Windows absolute paths + if ntpath.isabs(path) and not posixpath.isabs(path): + raise ValueError(msg) + + # for compatibility, warn; in future + # raise ValueError(msg) + warnings.warn( + msg[:-1] + " and will raise exceptions in a future release.", + DeprecationWarning, + stacklevel=4, + ) + + def _get(self, path): + if hasattr(self.loader, 'get_data'): + return self.loader.get_data(path) + raise NotImplementedError( + "Can't perform this operation for loaders without 'get_data()'" + ) + + +register_loader_type(object, NullProvider) + + +class EggProvider(NullProvider): + """Provider based on a virtual filesystem""" + + def __init__(self, module): + NullProvider.__init__(self, module) + self._setup_prefix() + + def _setup_prefix(self): + # we assume here that our metadata may be nested inside a "basket" + # of multiple eggs; that's why we use module_path instead of .archive + path = self.module_path + old = None + while path != old: + if _is_egg_path(path): + self.egg_name = os.path.basename(path) + self.egg_info = os.path.join(path, 'EGG-INFO') + self.egg_root = path + break + old = path + path, base = os.path.split(path) + + +class DefaultProvider(EggProvider): + """Provides access to package resources in the filesystem""" + + def _has(self, path): + return os.path.exists(path) + + def _isdir(self, path): + return os.path.isdir(path) + + def _listdir(self, path): + return os.listdir(path) + + def get_resource_stream(self, manager, resource_name): + return open(self._fn(self.module_path, resource_name), 'rb') + + def _get(self, path): + with open(path, 'rb') as stream: + return stream.read() + + @classmethod + def _register(cls): + loader_names = 'SourceFileLoader', 'SourcelessFileLoader', + for name in loader_names: + loader_cls = getattr(importlib_machinery, name, type(None)) + register_loader_type(loader_cls, cls) + + +DefaultProvider._register() + + +class EmptyProvider(NullProvider): + """Provider that returns nothing for all requests""" + + module_path = None + + _isdir = _has = lambda self, path: False + + def _get(self, path): + return '' + + def _listdir(self, path): + return [] + + def __init__(self): + pass + + +empty_provider = EmptyProvider() + + +class ZipManifests(dict): + """ + zip manifest builder + """ + + @classmethod + def build(cls, path): + """ + Build a dictionary similar to the zipimport directory + caches, except instead of tuples, store ZipInfo objects. + + Use a platform-specific path separator (os.sep) for the path keys + for compatibility with pypy on Windows. + """ + with zipfile.ZipFile(path) as zfile: + items = ( + ( + name.replace('/', os.sep), + zfile.getinfo(name), + ) + for name in zfile.namelist() + ) + return dict(items) + + load = build + + +class MemoizedZipManifests(ZipManifests): + """ + Memoized zipfile manifests. + """ + manifest_mod = collections.namedtuple('manifest_mod', 'manifest mtime') + + def load(self, path): + """ + Load a manifest at path or return a suitable manifest already loaded. + """ + path = os.path.normpath(path) + mtime = os.stat(path).st_mtime + + if path not in self or self[path].mtime != mtime: + manifest = self.build(path) + self[path] = self.manifest_mod(manifest, mtime) + + return self[path].manifest + + +class ZipProvider(EggProvider): + """Resource support for zips and eggs""" + + eagers = None + _zip_manifests = MemoizedZipManifests() + + def __init__(self, module): + EggProvider.__init__(self, module) + self.zip_pre = self.loader.archive + os.sep + + def _zipinfo_name(self, fspath): + # Convert a virtual filename (full path to file) into a zipfile subpath + # usable with the zipimport directory cache for our target archive + fspath = fspath.rstrip(os.sep) + if fspath == self.loader.archive: + return '' + if fspath.startswith(self.zip_pre): + return fspath[len(self.zip_pre):] + raise AssertionError( + "%s is not a subpath of %s" % (fspath, self.zip_pre) + ) + + def _parts(self, zip_path): + # Convert a zipfile subpath into an egg-relative path part list. + # pseudo-fs path + fspath = self.zip_pre + zip_path + if fspath.startswith(self.egg_root + os.sep): + return fspath[len(self.egg_root) + 1:].split(os.sep) + raise AssertionError( + "%s is not a subpath of %s" % (fspath, self.egg_root) + ) + + @property + def zipinfo(self): + return self._zip_manifests.load(self.loader.archive) + + def get_resource_filename(self, manager, resource_name): + if not self.egg_name: + raise NotImplementedError( + "resource_filename() only supported for .egg, not .zip" + ) + # no need to lock for extraction, since we use temp names + zip_path = self._resource_to_zip(resource_name) + eagers = self._get_eager_resources() + if '/'.join(self._parts(zip_path)) in eagers: + for name in eagers: + self._extract_resource(manager, self._eager_to_zip(name)) + return self._extract_resource(manager, zip_path) + + @staticmethod + def _get_date_and_size(zip_stat): + size = zip_stat.file_size + # ymdhms+wday, yday, dst + date_time = zip_stat.date_time + (0, 0, -1) + # 1980 offset already done + timestamp = time.mktime(date_time) + return timestamp, size + + def _extract_resource(self, manager, zip_path): + + if zip_path in self._index(): + for name in self._index()[zip_path]: + last = self._extract_resource( + manager, os.path.join(zip_path, name) + ) + # return the extracted directory name + return os.path.dirname(last) + + timestamp, size = self._get_date_and_size(self.zipinfo[zip_path]) + + if not WRITE_SUPPORT: + raise IOError('"os.rename" and "os.unlink" are not supported ' + 'on this platform') + try: + + real_path = manager.get_cache_path( + self.egg_name, self._parts(zip_path) + ) + + if self._is_current(real_path, zip_path): + return real_path + + outf, tmpnam = _mkstemp( + ".$extract", + dir=os.path.dirname(real_path), + ) + os.write(outf, self.loader.get_data(zip_path)) + os.close(outf) + utime(tmpnam, (timestamp, timestamp)) + manager.postprocess(tmpnam, real_path) + + try: + rename(tmpnam, real_path) + + except os.error: + if os.path.isfile(real_path): + if self._is_current(real_path, zip_path): + # the file became current since it was checked above, + # so proceed. + return real_path + # Windows, del old file and retry + elif os.name == 'nt': + unlink(real_path) + rename(tmpnam, real_path) + return real_path + raise + + except os.error: + # report a user-friendly error + manager.extraction_error() + + return real_path + + def _is_current(self, file_path, zip_path): + """ + Return True if the file_path is current for this zip_path + """ + timestamp, size = self._get_date_and_size(self.zipinfo[zip_path]) + if not os.path.isfile(file_path): + return False + stat = os.stat(file_path) + if stat.st_size != size or stat.st_mtime != timestamp: + return False + # check that the contents match + zip_contents = self.loader.get_data(zip_path) + with open(file_path, 'rb') as f: + file_contents = f.read() + return zip_contents == file_contents + + def _get_eager_resources(self): + if self.eagers is None: + eagers = [] + for name in ('native_libs.txt', 'eager_resources.txt'): + if self.has_metadata(name): + eagers.extend(self.get_metadata_lines(name)) + self.eagers = eagers + return self.eagers + + def _index(self): + try: + return self._dirindex + except AttributeError: + ind = {} + for path in self.zipinfo: + parts = path.split(os.sep) + while parts: + parent = os.sep.join(parts[:-1]) + if parent in ind: + ind[parent].append(parts[-1]) + break + else: + ind[parent] = [parts.pop()] + self._dirindex = ind + return ind + + def _has(self, fspath): + zip_path = self._zipinfo_name(fspath) + return zip_path in self.zipinfo or zip_path in self._index() + + def _isdir(self, fspath): + return self._zipinfo_name(fspath) in self._index() + + def _listdir(self, fspath): + return list(self._index().get(self._zipinfo_name(fspath), ())) + + def _eager_to_zip(self, resource_name): + return self._zipinfo_name(self._fn(self.egg_root, resource_name)) + + def _resource_to_zip(self, resource_name): + return self._zipinfo_name(self._fn(self.module_path, resource_name)) + + +register_loader_type(zipimport.zipimporter, ZipProvider) + + +class FileMetadata(EmptyProvider): + """Metadata handler for standalone PKG-INFO files + + Usage:: + + metadata = FileMetadata("/path/to/PKG-INFO") + + This provider rejects all data and metadata requests except for PKG-INFO, + which is treated as existing, and will be the contents of the file at + the provided location. + """ + + def __init__(self, path): + self.path = path + + def _get_metadata_path(self, name): + return self.path + + def has_metadata(self, name): + return name == 'PKG-INFO' and os.path.isfile(self.path) + + def get_metadata(self, name): + if name != 'PKG-INFO': + raise KeyError("No metadata except PKG-INFO is available") + + with io.open(self.path, encoding='utf-8', errors="replace") as f: + metadata = f.read() + self._warn_on_replacement(metadata) + return metadata + + def _warn_on_replacement(self, metadata): + # Python 2.7 compat for: replacement_char = '�' + replacement_char = b'\xef\xbf\xbd'.decode('utf-8') + if replacement_char in metadata: + tmpl = "{self.path} could not be properly decoded in UTF-8" + msg = tmpl.format(**locals()) + warnings.warn(msg) + + def get_metadata_lines(self, name): + return yield_lines(self.get_metadata(name)) + + +class PathMetadata(DefaultProvider): + """Metadata provider for egg directories + + Usage:: + + # Development eggs: + + egg_info = "/path/to/PackageName.egg-info" + base_dir = os.path.dirname(egg_info) + metadata = PathMetadata(base_dir, egg_info) + dist_name = os.path.splitext(os.path.basename(egg_info))[0] + dist = Distribution(basedir, project_name=dist_name, metadata=metadata) + + # Unpacked egg directories: + + egg_path = "/path/to/PackageName-ver-pyver-etc.egg" + metadata = PathMetadata(egg_path, os.path.join(egg_path,'EGG-INFO')) + dist = Distribution.from_filename(egg_path, metadata=metadata) + """ + + def __init__(self, path, egg_info): + self.module_path = path + self.egg_info = egg_info + + +class EggMetadata(ZipProvider): + """Metadata provider for .egg files""" + + def __init__(self, importer): + """Create a metadata provider from a zipimporter""" + + self.zip_pre = importer.archive + os.sep + self.loader = importer + if importer.prefix: + self.module_path = os.path.join(importer.archive, importer.prefix) + else: + self.module_path = importer.archive + self._setup_prefix() + + +_declare_state('dict', _distribution_finders={}) + + +def register_finder(importer_type, distribution_finder): + """Register `distribution_finder` to find distributions in sys.path items + + `importer_type` is the type or class of a PEP 302 "Importer" (sys.path item + handler), and `distribution_finder` is a callable that, passed a path + item and the importer instance, yields ``Distribution`` instances found on + that path item. See ``pkg_resources.find_on_path`` for an example.""" + _distribution_finders[importer_type] = distribution_finder + + +def find_distributions(path_item, only=False): + """Yield distributions accessible via `path_item`""" + importer = get_importer(path_item) + finder = _find_adapter(_distribution_finders, importer) + return finder(importer, path_item, only) + + +def find_eggs_in_zip(importer, path_item, only=False): + """ + Find eggs in zip files; possibly multiple nested eggs. + """ + if importer.archive.endswith('.whl'): + # wheels are not supported with this finder + # they don't have PKG-INFO metadata, and won't ever contain eggs + return + metadata = EggMetadata(importer) + if metadata.has_metadata('PKG-INFO'): + yield Distribution.from_filename(path_item, metadata=metadata) + if only: + # don't yield nested distros + return + for subitem in metadata.resource_listdir(''): + if _is_egg_path(subitem): + subpath = os.path.join(path_item, subitem) + dists = find_eggs_in_zip(zipimport.zipimporter(subpath), subpath) + for dist in dists: + yield dist + elif subitem.lower().endswith('.dist-info'): + subpath = os.path.join(path_item, subitem) + submeta = EggMetadata(zipimport.zipimporter(subpath)) + submeta.egg_info = subpath + yield Distribution.from_location(path_item, subitem, submeta) + + +register_finder(zipimport.zipimporter, find_eggs_in_zip) + + +def find_nothing(importer, path_item, only=False): + return () + + +register_finder(object, find_nothing) + + +def _by_version_descending(names): + """ + Given a list of filenames, return them in descending order + by version number. + + >>> names = 'bar', 'foo', 'Python-2.7.10.egg', 'Python-2.7.2.egg' + >>> _by_version_descending(names) + ['Python-2.7.10.egg', 'Python-2.7.2.egg', 'foo', 'bar'] + >>> names = 'Setuptools-1.2.3b1.egg', 'Setuptools-1.2.3.egg' + >>> _by_version_descending(names) + ['Setuptools-1.2.3.egg', 'Setuptools-1.2.3b1.egg'] + >>> names = 'Setuptools-1.2.3b1.egg', 'Setuptools-1.2.3.post1.egg' + >>> _by_version_descending(names) + ['Setuptools-1.2.3.post1.egg', 'Setuptools-1.2.3b1.egg'] + """ + def _by_version(name): + """ + Parse each component of the filename + """ + name, ext = os.path.splitext(name) + parts = itertools.chain(name.split('-'), [ext]) + return [packaging.version.parse(part) for part in parts] + + return sorted(names, key=_by_version, reverse=True) + + +def find_on_path(importer, path_item, only=False): + """Yield distributions accessible on a sys.path directory""" + path_item = _normalize_cached(path_item) + + if _is_unpacked_egg(path_item): + yield Distribution.from_filename( + path_item, metadata=PathMetadata( + path_item, os.path.join(path_item, 'EGG-INFO') + ) + ) + return + + entries = safe_listdir(path_item) + + # for performance, before sorting by version, + # screen entries for only those that will yield + # distributions + filtered = ( + entry + for entry in entries + if dist_factory(path_item, entry, only) + ) + + # scan for .egg and .egg-info in directory + path_item_entries = _by_version_descending(filtered) + for entry in path_item_entries: + fullpath = os.path.join(path_item, entry) + factory = dist_factory(path_item, entry, only) + for dist in factory(fullpath): + yield dist + + +def dist_factory(path_item, entry, only): + """ + Return a dist_factory for a path_item and entry + """ + lower = entry.lower() + is_meta = any(map(lower.endswith, ('.egg-info', '.dist-info'))) + return ( + distributions_from_metadata + if is_meta else + find_distributions + if not only and _is_egg_path(entry) else + resolve_egg_link + if not only and lower.endswith('.egg-link') else + NoDists() + ) + + +class NoDists: + """ + >>> bool(NoDists()) + False + + >>> list(NoDists()('anything')) + [] + """ + def __bool__(self): + return False + if six.PY2: + __nonzero__ = __bool__ + + def __call__(self, fullpath): + return iter(()) + + +def safe_listdir(path): + """ + Attempt to list contents of path, but suppress some exceptions. + """ + try: + return os.listdir(path) + except (PermissionError, NotADirectoryError): + pass + except OSError as e: + # Ignore the directory if does not exist, not a directory or + # permission denied + ignorable = ( + e.errno in (errno.ENOTDIR, errno.EACCES, errno.ENOENT) + # Python 2 on Windows needs to be handled this way :( + or getattr(e, "winerror", None) == 267 + ) + if not ignorable: + raise + return () + + +def distributions_from_metadata(path): + root = os.path.dirname(path) + if os.path.isdir(path): + if len(os.listdir(path)) == 0: + # empty metadata dir; skip + return + metadata = PathMetadata(root, path) + else: + metadata = FileMetadata(path) + entry = os.path.basename(path) + yield Distribution.from_location( + root, entry, metadata, precedence=DEVELOP_DIST, + ) + + +def non_empty_lines(path): + """ + Yield non-empty lines from file at path + """ + with open(path) as f: + for line in f: + line = line.strip() + if line: + yield line + + +def resolve_egg_link(path): + """ + Given a path to an .egg-link, resolve distributions + present in the referenced path. + """ + referenced_paths = non_empty_lines(path) + resolved_paths = ( + os.path.join(os.path.dirname(path), ref) + for ref in referenced_paths + ) + dist_groups = map(find_distributions, resolved_paths) + return next(dist_groups, ()) + + +register_finder(pkgutil.ImpImporter, find_on_path) + +if hasattr(importlib_machinery, 'FileFinder'): + register_finder(importlib_machinery.FileFinder, find_on_path) + +_declare_state('dict', _namespace_handlers={}) +_declare_state('dict', _namespace_packages={}) + + +def register_namespace_handler(importer_type, namespace_handler): + """Register `namespace_handler` to declare namespace packages + + `importer_type` is the type or class of a PEP 302 "Importer" (sys.path item + handler), and `namespace_handler` is a callable like this:: + + def namespace_handler(importer, path_entry, moduleName, module): + # return a path_entry to use for child packages + + Namespace handlers are only called if the importer object has already + agreed that it can handle the relevant path item, and they should only + return a subpath if the module __path__ does not already contain an + equivalent subpath. For an example namespace handler, see + ``pkg_resources.file_ns_handler``. + """ + _namespace_handlers[importer_type] = namespace_handler + + +def _handle_ns(packageName, path_item): + """Ensure that named package includes a subpath of path_item (if needed)""" + + importer = get_importer(path_item) + if importer is None: + return None + + # capture warnings due to #1111 + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + loader = importer.find_module(packageName) + + if loader is None: + return None + module = sys.modules.get(packageName) + if module is None: + module = sys.modules[packageName] = types.ModuleType(packageName) + module.__path__ = [] + _set_parent_ns(packageName) + elif not hasattr(module, '__path__'): + raise TypeError("Not a package:", packageName) + handler = _find_adapter(_namespace_handlers, importer) + subpath = handler(importer, path_item, packageName, module) + if subpath is not None: + path = module.__path__ + path.append(subpath) + loader.load_module(packageName) + _rebuild_mod_path(path, packageName, module) + return subpath + + +def _rebuild_mod_path(orig_path, package_name, module): + """ + Rebuild module.__path__ ensuring that all entries are ordered + corresponding to their sys.path order + """ + sys_path = [_normalize_cached(p) for p in sys.path] + + def safe_sys_path_index(entry): + """ + Workaround for #520 and #513. + """ + try: + return sys_path.index(entry) + except ValueError: + return float('inf') + + def position_in_sys_path(path): + """ + Return the ordinal of the path based on its position in sys.path + """ + path_parts = path.split(os.sep) + module_parts = package_name.count('.') + 1 + parts = path_parts[:-module_parts] + return safe_sys_path_index(_normalize_cached(os.sep.join(parts))) + + new_path = sorted(orig_path, key=position_in_sys_path) + new_path = [_normalize_cached(p) for p in new_path] + + if isinstance(module.__path__, list): + module.__path__[:] = new_path + else: + module.__path__ = new_path + + +def declare_namespace(packageName): + """Declare that package 'packageName' is a namespace package""" + + _imp.acquire_lock() + try: + if packageName in _namespace_packages: + return + + path = sys.path + parent, _, _ = packageName.rpartition('.') + + if parent: + declare_namespace(parent) + if parent not in _namespace_packages: + __import__(parent) + try: + path = sys.modules[parent].__path__ + except AttributeError: + raise TypeError("Not a package:", parent) + + # Track what packages are namespaces, so when new path items are added, + # they can be updated + _namespace_packages.setdefault(parent or None, []).append(packageName) + _namespace_packages.setdefault(packageName, []) + + for path_item in path: + # Ensure all the parent's path items are reflected in the child, + # if they apply + _handle_ns(packageName, path_item) + + finally: + _imp.release_lock() + + +def fixup_namespace_packages(path_item, parent=None): + """Ensure that previously-declared namespace packages include path_item""" + _imp.acquire_lock() + try: + for package in _namespace_packages.get(parent, ()): + subpath = _handle_ns(package, path_item) + if subpath: + fixup_namespace_packages(subpath, package) + finally: + _imp.release_lock() + + +def file_ns_handler(importer, path_item, packageName, module): + """Compute an ns-package subpath for a filesystem or zipfile importer""" + + subpath = os.path.join(path_item, packageName.split('.')[-1]) + normalized = _normalize_cached(subpath) + for item in module.__path__: + if _normalize_cached(item) == normalized: + break + else: + # Only return the path if it's not already there + return subpath + + +register_namespace_handler(pkgutil.ImpImporter, file_ns_handler) +register_namespace_handler(zipimport.zipimporter, file_ns_handler) + +if hasattr(importlib_machinery, 'FileFinder'): + register_namespace_handler(importlib_machinery.FileFinder, file_ns_handler) + + +def null_ns_handler(importer, path_item, packageName, module): + return None + + +register_namespace_handler(object, null_ns_handler) + + +def normalize_path(filename): + """Normalize a file/dir name for comparison purposes""" + return os.path.normcase(os.path.realpath(os.path.normpath(_cygwin_patch(filename)))) + + +def _cygwin_patch(filename): # pragma: nocover + """ + Contrary to POSIX 2008, on Cygwin, getcwd (3) contains + symlink components. Using + os.path.abspath() works around this limitation. A fix in os.getcwd() + would probably better, in Cygwin even more so, except + that this seems to be by design... + """ + return os.path.abspath(filename) if sys.platform == 'cygwin' else filename + + +def _normalize_cached(filename, _cache={}): + try: + return _cache[filename] + except KeyError: + _cache[filename] = result = normalize_path(filename) + return result + + +def _is_egg_path(path): + """ + Determine if given path appears to be an egg. + """ + return path.lower().endswith('.egg') + + +def _is_unpacked_egg(path): + """ + Determine if given path appears to be an unpacked egg. + """ + return ( + _is_egg_path(path) and + os.path.isfile(os.path.join(path, 'EGG-INFO', 'PKG-INFO')) + ) + + +def _set_parent_ns(packageName): + parts = packageName.split('.') + name = parts.pop() + if parts: + parent = '.'.join(parts) + setattr(sys.modules[parent], name, sys.modules[packageName]) + + +def yield_lines(strs): + """Yield non-empty/non-comment lines of a string or sequence""" + if isinstance(strs, six.string_types): + for s in strs.splitlines(): + s = s.strip() + # skip blank lines/comments + if s and not s.startswith('#'): + yield s + else: + for ss in strs: + for s in yield_lines(ss): + yield s + + +MODULE = re.compile(r"\w+(\.\w+)*$").match +EGG_NAME = re.compile( + r""" + (?P[^-]+) ( + -(?P[^-]+) ( + -py(?P[^-]+) ( + -(?P.+) + )? + )? + )? + """, + re.VERBOSE | re.IGNORECASE, +).match + + +class EntryPoint: + """Object representing an advertised importable object""" + + def __init__(self, name, module_name, attrs=(), extras=(), dist=None): + if not MODULE(module_name): + raise ValueError("Invalid module name", module_name) + self.name = name + self.module_name = module_name + self.attrs = tuple(attrs) + self.extras = tuple(extras) + self.dist = dist + + def __str__(self): + s = "%s = %s" % (self.name, self.module_name) + if self.attrs: + s += ':' + '.'.join(self.attrs) + if self.extras: + s += ' [%s]' % ','.join(self.extras) + return s + + def __repr__(self): + return "EntryPoint.parse(%r)" % str(self) + + def load(self, require=True, *args, **kwargs): + """ + Require packages for this EntryPoint, then resolve it. + """ + if not require or args or kwargs: + warnings.warn( + "Parameters to load are deprecated. Call .resolve and " + ".require separately.", + PkgResourcesDeprecationWarning, + stacklevel=2, + ) + if require: + self.require(*args, **kwargs) + return self.resolve() + + def resolve(self): + """ + Resolve the entry point from its module and attrs. + """ + module = __import__(self.module_name, fromlist=['__name__'], level=0) + try: + return functools.reduce(getattr, self.attrs, module) + except AttributeError as exc: + raise ImportError(str(exc)) + + def require(self, env=None, installer=None): + if self.extras and not self.dist: + raise UnknownExtra("Can't require() without a distribution", self) + + # Get the requirements for this entry point with all its extras and + # then resolve them. We have to pass `extras` along when resolving so + # that the working set knows what extras we want. Otherwise, for + # dist-info distributions, the working set will assume that the + # requirements for that extra are purely optional and skip over them. + reqs = self.dist.requires(self.extras) + items = working_set.resolve(reqs, env, installer, extras=self.extras) + list(map(working_set.add, items)) + + pattern = re.compile( + r'\s*' + r'(?P.+?)\s*' + r'=\s*' + r'(?P[\w.]+)\s*' + r'(:\s*(?P[\w.]+))?\s*' + r'(?P\[.*\])?\s*$' + ) + + @classmethod + def parse(cls, src, dist=None): + """Parse a single entry point from string `src` + + Entry point syntax follows the form:: + + name = some.module:some.attr [extra1, extra2] + + The entry name and module name are required, but the ``:attrs`` and + ``[extras]`` parts are optional + """ + m = cls.pattern.match(src) + if not m: + msg = "EntryPoint must be in 'name=module:attrs [extras]' format" + raise ValueError(msg, src) + res = m.groupdict() + extras = cls._parse_extras(res['extras']) + attrs = res['attr'].split('.') if res['attr'] else () + return cls(res['name'], res['module'], attrs, extras, dist) + + @classmethod + def _parse_extras(cls, extras_spec): + if not extras_spec: + return () + req = Requirement.parse('x' + extras_spec) + if req.specs: + raise ValueError() + return req.extras + + @classmethod + def parse_group(cls, group, lines, dist=None): + """Parse an entry point group""" + if not MODULE(group): + raise ValueError("Invalid group name", group) + this = {} + for line in yield_lines(lines): + ep = cls.parse(line, dist) + if ep.name in this: + raise ValueError("Duplicate entry point", group, ep.name) + this[ep.name] = ep + return this + + @classmethod + def parse_map(cls, data, dist=None): + """Parse a map of entry point groups""" + if isinstance(data, dict): + data = data.items() + else: + data = split_sections(data) + maps = {} + for group, lines in data: + if group is None: + if not lines: + continue + raise ValueError("Entry points must be listed in groups") + group = group.strip() + if group in maps: + raise ValueError("Duplicate group name", group) + maps[group] = cls.parse_group(group, lines, dist) + return maps + + +def _remove_md5_fragment(location): + if not location: + return '' + parsed = urllib.parse.urlparse(location) + if parsed[-1].startswith('md5='): + return urllib.parse.urlunparse(parsed[:-1] + ('',)) + return location + + +def _version_from_file(lines): + """ + Given an iterable of lines from a Metadata file, return + the value of the Version field, if present, or None otherwise. + """ + def is_version_line(line): + return line.lower().startswith('version:') + version_lines = filter(is_version_line, lines) + line = next(iter(version_lines), '') + _, _, value = line.partition(':') + return safe_version(value.strip()) or None + + +class Distribution: + """Wrap an actual or potential sys.path entry w/metadata""" + PKG_INFO = 'PKG-INFO' + + def __init__( + self, location=None, metadata=None, project_name=None, + version=None, py_version=PY_MAJOR, platform=None, + precedence=EGG_DIST): + self.project_name = safe_name(project_name or 'Unknown') + if version is not None: + self._version = safe_version(version) + self.py_version = py_version + self.platform = platform + self.location = location + self.precedence = precedence + self._provider = metadata or empty_provider + + @classmethod + def from_location(cls, location, basename, metadata=None, **kw): + project_name, version, py_version, platform = [None] * 4 + basename, ext = os.path.splitext(basename) + if ext.lower() in _distributionImpl: + cls = _distributionImpl[ext.lower()] + + match = EGG_NAME(basename) + if match: + project_name, version, py_version, platform = match.group( + 'name', 'ver', 'pyver', 'plat' + ) + return cls( + location, metadata, project_name=project_name, version=version, + py_version=py_version, platform=platform, **kw + )._reload_version() + + def _reload_version(self): + return self + + @property + def hashcmp(self): + return ( + self.parsed_version, + self.precedence, + self.key, + _remove_md5_fragment(self.location), + self.py_version or '', + self.platform or '', + ) + + def __hash__(self): + return hash(self.hashcmp) + + def __lt__(self, other): + return self.hashcmp < other.hashcmp + + def __le__(self, other): + return self.hashcmp <= other.hashcmp + + def __gt__(self, other): + return self.hashcmp > other.hashcmp + + def __ge__(self, other): + return self.hashcmp >= other.hashcmp + + def __eq__(self, other): + if not isinstance(other, self.__class__): + # It's not a Distribution, so they are not equal + return False + return self.hashcmp == other.hashcmp + + def __ne__(self, other): + return not self == other + + # These properties have to be lazy so that we don't have to load any + # metadata until/unless it's actually needed. (i.e., some distributions + # may not know their name or version without loading PKG-INFO) + + @property + def key(self): + try: + return self._key + except AttributeError: + self._key = key = self.project_name.lower() + return key + + @property + def parsed_version(self): + if not hasattr(self, "_parsed_version"): + self._parsed_version = parse_version(self.version) + + return self._parsed_version + + def _warn_legacy_version(self): + LV = packaging.version.LegacyVersion + is_legacy = isinstance(self._parsed_version, LV) + if not is_legacy: + return + + # While an empty version is technically a legacy version and + # is not a valid PEP 440 version, it's also unlikely to + # actually come from someone and instead it is more likely that + # it comes from setuptools attempting to parse a filename and + # including it in the list. So for that we'll gate this warning + # on if the version is anything at all or not. + if not self.version: + return + + tmpl = textwrap.dedent(""" + '{project_name} ({version})' is being parsed as a legacy, + non PEP 440, + version. You may find odd behavior and sort order. + In particular it will be sorted as less than 0.0. It + is recommended to migrate to PEP 440 compatible + versions. + """).strip().replace('\n', ' ') + + warnings.warn(tmpl.format(**vars(self)), PEP440Warning) + + @property + def version(self): + try: + return self._version + except AttributeError: + version = self._get_version() + if version is None: + path = self._get_metadata_path_for_display(self.PKG_INFO) + msg = ( + "Missing 'Version:' header and/or {} file at path: {}" + ).format(self.PKG_INFO, path) + raise ValueError(msg, self) + + return version + + @property + def _dep_map(self): + """ + A map of extra to its list of (direct) requirements + for this distribution, including the null extra. + """ + try: + return self.__dep_map + except AttributeError: + self.__dep_map = self._filter_extras(self._build_dep_map()) + return self.__dep_map + + @staticmethod + def _filter_extras(dm): + """ + Given a mapping of extras to dependencies, strip off + environment markers and filter out any dependencies + not matching the markers. + """ + for extra in list(filter(None, dm)): + new_extra = extra + reqs = dm.pop(extra) + new_extra, _, marker = extra.partition(':') + fails_marker = marker and ( + invalid_marker(marker) + or not evaluate_marker(marker) + ) + if fails_marker: + reqs = [] + new_extra = safe_extra(new_extra) or None + + dm.setdefault(new_extra, []).extend(reqs) + return dm + + def _build_dep_map(self): + dm = {} + for name in 'requires.txt', 'depends.txt': + for extra, reqs in split_sections(self._get_metadata(name)): + dm.setdefault(extra, []).extend(parse_requirements(reqs)) + return dm + + def requires(self, extras=()): + """List of Requirements needed for this distro if `extras` are used""" + dm = self._dep_map + deps = [] + deps.extend(dm.get(None, ())) + for ext in extras: + try: + deps.extend(dm[safe_extra(ext)]) + except KeyError: + raise UnknownExtra( + "%s has no such extra feature %r" % (self, ext) + ) + return deps + + def _get_metadata_path_for_display(self, name): + """ + Return the path to the given metadata file, if available. + """ + try: + # We need to access _get_metadata_path() on the provider object + # directly rather than through this class's __getattr__() + # since _get_metadata_path() is marked private. + path = self._provider._get_metadata_path(name) + + # Handle exceptions e.g. in case the distribution's metadata + # provider doesn't support _get_metadata_path(). + except Exception: + return '[could not detect]' + + return path + + def _get_metadata(self, name): + if self.has_metadata(name): + for line in self.get_metadata_lines(name): + yield line + + def _get_version(self): + lines = self._get_metadata(self.PKG_INFO) + version = _version_from_file(lines) + + return version + + def activate(self, path=None, replace=False): + """Ensure distribution is importable on `path` (default=sys.path)""" + if path is None: + path = sys.path + self.insert_on(path, replace=replace) + if path is sys.path: + fixup_namespace_packages(self.location) + for pkg in self._get_metadata('namespace_packages.txt'): + if pkg in sys.modules: + declare_namespace(pkg) + + def egg_name(self): + """Return what this distribution's standard .egg filename should be""" + filename = "%s-%s-py%s" % ( + to_filename(self.project_name), to_filename(self.version), + self.py_version or PY_MAJOR + ) + + if self.platform: + filename += '-' + self.platform + return filename + + def __repr__(self): + if self.location: + return "%s (%s)" % (self, self.location) + else: + return str(self) + + def __str__(self): + try: + version = getattr(self, 'version', None) + except ValueError: + version = None + version = version or "[unknown version]" + return "%s %s" % (self.project_name, version) + + def __getattr__(self, attr): + """Delegate all unrecognized public attributes to .metadata provider""" + if attr.startswith('_'): + raise AttributeError(attr) + return getattr(self._provider, attr) + + def __dir__(self): + return list( + set(super(Distribution, self).__dir__()) + | set( + attr for attr in self._provider.__dir__() + if not attr.startswith('_') + ) + ) + + if not hasattr(object, '__dir__'): + # python 2.7 not supported + del __dir__ + + @classmethod + def from_filename(cls, filename, metadata=None, **kw): + return cls.from_location( + _normalize_cached(filename), os.path.basename(filename), metadata, + **kw + ) + + def as_requirement(self): + """Return a ``Requirement`` that matches this distribution exactly""" + if isinstance(self.parsed_version, packaging.version.Version): + spec = "%s==%s" % (self.project_name, self.parsed_version) + else: + spec = "%s===%s" % (self.project_name, self.parsed_version) + + return Requirement.parse(spec) + + def load_entry_point(self, group, name): + """Return the `name` entry point of `group` or raise ImportError""" + ep = self.get_entry_info(group, name) + if ep is None: + raise ImportError("Entry point %r not found" % ((group, name),)) + return ep.load() + + def get_entry_map(self, group=None): + """Return the entry point map for `group`, or the full entry map""" + try: + ep_map = self._ep_map + except AttributeError: + ep_map = self._ep_map = EntryPoint.parse_map( + self._get_metadata('entry_points.txt'), self + ) + if group is not None: + return ep_map.get(group, {}) + return ep_map + + def get_entry_info(self, group, name): + """Return the EntryPoint object for `group`+`name`, or ``None``""" + return self.get_entry_map(group).get(name) + + def insert_on(self, path, loc=None, replace=False): + """Ensure self.location is on path + + If replace=False (default): + - If location is already in path anywhere, do nothing. + - Else: + - If it's an egg and its parent directory is on path, + insert just ahead of the parent. + - Else: add to the end of path. + If replace=True: + - If location is already on path anywhere (not eggs) + or higher priority than its parent (eggs) + do nothing. + - Else: + - If it's an egg and its parent directory is on path, + insert just ahead of the parent, + removing any lower-priority entries. + - Else: add it to the front of path. + """ + + loc = loc or self.location + if not loc: + return + + nloc = _normalize_cached(loc) + bdir = os.path.dirname(nloc) + npath = [(p and _normalize_cached(p) or p) for p in path] + + for p, item in enumerate(npath): + if item == nloc: + if replace: + break + else: + # don't modify path (even removing duplicates) if + # found and not replace + return + elif item == bdir and self.precedence == EGG_DIST: + # if it's an .egg, give it precedence over its directory + # UNLESS it's already been added to sys.path and replace=False + if (not replace) and nloc in npath[p:]: + return + if path is sys.path: + self.check_version_conflict() + path.insert(p, loc) + npath.insert(p, nloc) + break + else: + if path is sys.path: + self.check_version_conflict() + if replace: + path.insert(0, loc) + else: + path.append(loc) + return + + # p is the spot where we found or inserted loc; now remove duplicates + while True: + try: + np = npath.index(nloc, p + 1) + except ValueError: + break + else: + del npath[np], path[np] + # ha! + p = np + + return + + def check_version_conflict(self): + if self.key == 'setuptools': + # ignore the inevitable setuptools self-conflicts :( + return + + nsp = dict.fromkeys(self._get_metadata('namespace_packages.txt')) + loc = normalize_path(self.location) + for modname in self._get_metadata('top_level.txt'): + if (modname not in sys.modules or modname in nsp + or modname in _namespace_packages): + continue + if modname in ('pkg_resources', 'setuptools', 'site'): + continue + fn = getattr(sys.modules[modname], '__file__', None) + if fn and (normalize_path(fn).startswith(loc) or + fn.startswith(self.location)): + continue + issue_warning( + "Module %s was already imported from %s, but %s is being added" + " to sys.path" % (modname, fn, self.location), + ) + + def has_version(self): + try: + self.version + except ValueError: + issue_warning("Unbuilt egg for " + repr(self)) + return False + return True + + def clone(self, **kw): + """Copy this distribution, substituting in any changed keyword args""" + names = 'project_name version py_version platform location precedence' + for attr in names.split(): + kw.setdefault(attr, getattr(self, attr, None)) + kw.setdefault('metadata', self._provider) + return self.__class__(**kw) + + @property + def extras(self): + return [dep for dep in self._dep_map if dep] + + +class EggInfoDistribution(Distribution): + def _reload_version(self): + """ + Packages installed by distutils (e.g. numpy or scipy), + which uses an old safe_version, and so + their version numbers can get mangled when + converted to filenames (e.g., 1.11.0.dev0+2329eae to + 1.11.0.dev0_2329eae). These distributions will not be + parsed properly + downstream by Distribution and safe_version, so + take an extra step and try to get the version number from + the metadata file itself instead of the filename. + """ + md_version = self._get_version() + if md_version: + self._version = md_version + return self + + +class DistInfoDistribution(Distribution): + """ + Wrap an actual or potential sys.path entry + w/metadata, .dist-info style. + """ + PKG_INFO = 'METADATA' + EQEQ = re.compile(r"([\(,])\s*(\d.*?)\s*([,\)])") + + @property + def _parsed_pkg_info(self): + """Parse and cache metadata""" + try: + return self._pkg_info + except AttributeError: + metadata = self.get_metadata(self.PKG_INFO) + self._pkg_info = email.parser.Parser().parsestr(metadata) + return self._pkg_info + + @property + def _dep_map(self): + try: + return self.__dep_map + except AttributeError: + self.__dep_map = self._compute_dependencies() + return self.__dep_map + + def _compute_dependencies(self): + """Recompute this distribution's dependencies.""" + dm = self.__dep_map = {None: []} + + reqs = [] + # Including any condition expressions + for req in self._parsed_pkg_info.get_all('Requires-Dist') or []: + reqs.extend(parse_requirements(req)) + + def reqs_for_extra(extra): + for req in reqs: + if not req.marker or req.marker.evaluate({'extra': extra}): + yield req + + common = frozenset(reqs_for_extra(None)) + dm[None].extend(common) + + for extra in self._parsed_pkg_info.get_all('Provides-Extra') or []: + s_extra = safe_extra(extra.strip()) + dm[s_extra] = list(frozenset(reqs_for_extra(extra)) - common) + + return dm + + +_distributionImpl = { + '.egg': Distribution, + '.egg-info': EggInfoDistribution, + '.dist-info': DistInfoDistribution, +} + + +def issue_warning(*args, **kw): + level = 1 + g = globals() + try: + # find the first stack frame that is *not* code in + # the pkg_resources module, to use for the warning + while sys._getframe(level).f_globals is g: + level += 1 + except ValueError: + pass + warnings.warn(stacklevel=level + 1, *args, **kw) + + +class RequirementParseError(ValueError): + def __str__(self): + return ' '.join(self.args) + + +def parse_requirements(strs): + """Yield ``Requirement`` objects for each specification in `strs` + + `strs` must be a string, or a (possibly-nested) iterable thereof. + """ + # create a steppable iterator, so we can handle \-continuations + lines = iter(yield_lines(strs)) + + for line in lines: + # Drop comments -- a hash without a space may be in a URL. + if ' #' in line: + line = line[:line.find(' #')] + # If there is a line continuation, drop it, and append the next line. + if line.endswith('\\'): + line = line[:-2].strip() + try: + line += next(lines) + except StopIteration: + return + yield Requirement(line) + + +class Requirement(packaging.requirements.Requirement): + def __init__(self, requirement_string): + """DO NOT CALL THIS UNDOCUMENTED METHOD; use Requirement.parse()!""" + try: + super(Requirement, self).__init__(requirement_string) + except packaging.requirements.InvalidRequirement as e: + raise RequirementParseError(str(e)) + self.unsafe_name = self.name + project_name = safe_name(self.name) + self.project_name, self.key = project_name, project_name.lower() + self.specs = [ + (spec.operator, spec.version) for spec in self.specifier] + self.extras = tuple(map(safe_extra, self.extras)) + self.hashCmp = ( + self.key, + self.specifier, + frozenset(self.extras), + str(self.marker) if self.marker else None, + ) + self.__hash = hash(self.hashCmp) + + def __eq__(self, other): + return ( + isinstance(other, Requirement) and + self.hashCmp == other.hashCmp + ) + + def __ne__(self, other): + return not self == other + + def __contains__(self, item): + if isinstance(item, Distribution): + if item.key != self.key: + return False + + item = item.version + + # Allow prereleases always in order to match the previous behavior of + # this method. In the future this should be smarter and follow PEP 440 + # more accurately. + return self.specifier.contains(item, prereleases=True) + + def __hash__(self): + return self.__hash + + def __repr__(self): + return "Requirement.parse(%r)" % str(self) + + @staticmethod + def parse(s): + req, = parse_requirements(s) + return req + + +def _always_object(classes): + """ + Ensure object appears in the mro even + for old-style classes. + """ + if object not in classes: + return classes + (object,) + return classes + + +def _find_adapter(registry, ob): + """Return an adapter factory for `ob` from `registry`""" + types = _always_object(inspect.getmro(getattr(ob, '__class__', type(ob)))) + for t in types: + if t in registry: + return registry[t] + + +def ensure_directory(path): + """Ensure that the parent directory of `path` exists""" + dirname = os.path.dirname(path) + py31compat.makedirs(dirname, exist_ok=True) + + +def _bypass_ensure_directory(path): + """Sandbox-bypassing version of ensure_directory()""" + if not WRITE_SUPPORT: + raise IOError('"os.mkdir" not supported on this platform.') + dirname, filename = split(path) + if dirname and filename and not isdir(dirname): + _bypass_ensure_directory(dirname) + try: + mkdir(dirname, 0o755) + except FileExistsError: + pass + + +def split_sections(s): + """Split a string or iterable thereof into (section, content) pairs + + Each ``section`` is a stripped version of the section header ("[section]") + and each ``content`` is a list of stripped lines excluding blank lines and + comment-only lines. If there are any such lines before the first section + header, they're returned in a first ``section`` of ``None``. + """ + section = None + content = [] + for line in yield_lines(s): + if line.startswith("["): + if line.endswith("]"): + if section or content: + yield section, content + section = line[1:-1].strip() + content = [] + else: + raise ValueError("Invalid section heading", line) + else: + content.append(line) + + # wrap up last segment + yield section, content + + +def _mkstemp(*args, **kw): + old_open = os.open + try: + # temporarily bypass sandboxing + os.open = os_open + return tempfile.mkstemp(*args, **kw) + finally: + # and then put it back + os.open = old_open + + +# Silence the PEP440Warning by default, so that end users don't get hit by it +# randomly just because they use pkg_resources. We want to append the rule +# because we want earlier uses of filterwarnings to take precedence over this +# one. +warnings.filterwarnings("ignore", category=PEP440Warning, append=True) + + +# from jaraco.functools 1.3 +def _call_aside(f, *args, **kwargs): + f(*args, **kwargs) + return f + + +@_call_aside +def _initialize(g=globals()): + "Set up global resource manager (deliberately not state-saved)" + manager = ResourceManager() + g['_manager'] = manager + g.update( + (name, getattr(manager, name)) + for name in dir(manager) + if not name.startswith('_') + ) + + +@_call_aside +def _initialize_master_working_set(): + """ + Prepare the master working set and make the ``require()`` + API available. + + This function has explicit effects on the global state + of pkg_resources. It is intended to be invoked once at + the initialization of this module. + + Invocation by other packages is unsupported and done + at their own risk. + """ + working_set = WorkingSet._build_master() + _declare_state('object', working_set=working_set) + + require = working_set.require + iter_entry_points = working_set.iter_entry_points + add_activation_listener = working_set.subscribe + run_script = working_set.run_script + # backward compatibility + run_main = run_script + # Activate all distributions already on sys.path with replace=False and + # ensure that all distributions added to the working set in the future + # (e.g. by calling ``require()``) will get activated as well, + # with higher priority (replace=True). + tuple( + dist.activate(replace=False) + for dist in working_set + ) + add_activation_listener( + lambda dist: dist.activate(replace=True), + existing=False, + ) + working_set.entries = [] + # match order + list(map(working_set.add_entry, sys.path)) + globals().update(locals()) + +class PkgResourcesDeprecationWarning(Warning): + """ + Base class for warning about deprecations in ``pkg_resources`` + + This class is not derived from ``DeprecationWarning``, and as such is + visible by default. + """ diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/__init__.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..5ee6220203e5425f900fb5a43676c24ea377c2fa --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/__init__.py @@ -0,0 +1,14 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +from __future__ import absolute_import, division, print_function + +from .__about__ import ( + __author__, __copyright__, __email__, __license__, __summary__, __title__, + __uri__, __version__ +) + +__all__ = [ + "__title__", "__summary__", "__uri__", "__version__", "__author__", + "__email__", "__license__", "__copyright__", +] diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/_compat.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/_compat.py new file mode 100644 index 0000000000000000000000000000000000000000..210bb80b7e7b64cb79f7e7cdf3e42819fe3471fe --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/_compat.py @@ -0,0 +1,30 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +from __future__ import absolute_import, division, print_function + +import sys + + +PY2 = sys.version_info[0] == 2 +PY3 = sys.version_info[0] == 3 + +# flake8: noqa + +if PY3: + string_types = str, +else: + string_types = basestring, + + +def with_metaclass(meta, *bases): + """ + Create a base class with a metaclass. + """ + # This requires a bit of explanation: the basic idea is to make a dummy + # metaclass for one level of class instantiation that replaces itself with + # the actual metaclass. + class metaclass(meta): + def __new__(cls, name, this_bases, d): + return meta(name, bases, d) + return type.__new__(metaclass, 'temporary_class', (), {}) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/_structures.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/_structures.py new file mode 100644 index 0000000000000000000000000000000000000000..ccc27861c3a4d9efaa3db753c77c4515a627bd98 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/_structures.py @@ -0,0 +1,68 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +from __future__ import absolute_import, division, print_function + + +class Infinity(object): + + def __repr__(self): + return "Infinity" + + def __hash__(self): + return hash(repr(self)) + + def __lt__(self, other): + return False + + def __le__(self, other): + return False + + def __eq__(self, other): + return isinstance(other, self.__class__) + + def __ne__(self, other): + return not isinstance(other, self.__class__) + + def __gt__(self, other): + return True + + def __ge__(self, other): + return True + + def __neg__(self): + return NegativeInfinity + +Infinity = Infinity() + + +class NegativeInfinity(object): + + def __repr__(self): + return "-Infinity" + + def __hash__(self): + return hash(repr(self)) + + def __lt__(self, other): + return True + + def __le__(self, other): + return True + + def __eq__(self, other): + return isinstance(other, self.__class__) + + def __ne__(self, other): + return not isinstance(other, self.__class__) + + def __gt__(self, other): + return False + + def __ge__(self, other): + return False + + def __neg__(self): + return Infinity + +NegativeInfinity = NegativeInfinity() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/markers.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/markers.py new file mode 100644 index 0000000000000000000000000000000000000000..892e578edd4b992cc2996c31d9deb13af73d62c0 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/markers.py @@ -0,0 +1,301 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +from __future__ import absolute_import, division, print_function + +import operator +import os +import platform +import sys + +from pkg_resources.extern.pyparsing import ParseException, ParseResults, stringStart, stringEnd +from pkg_resources.extern.pyparsing import ZeroOrMore, Group, Forward, QuotedString +from pkg_resources.extern.pyparsing import Literal as L # noqa + +from ._compat import string_types +from .specifiers import Specifier, InvalidSpecifier + + +__all__ = [ + "InvalidMarker", "UndefinedComparison", "UndefinedEnvironmentName", + "Marker", "default_environment", +] + + +class InvalidMarker(ValueError): + """ + An invalid marker was found, users should refer to PEP 508. + """ + + +class UndefinedComparison(ValueError): + """ + An invalid operation was attempted on a value that doesn't support it. + """ + + +class UndefinedEnvironmentName(ValueError): + """ + A name was attempted to be used that does not exist inside of the + environment. + """ + + +class Node(object): + + def __init__(self, value): + self.value = value + + def __str__(self): + return str(self.value) + + def __repr__(self): + return "<{0}({1!r})>".format(self.__class__.__name__, str(self)) + + def serialize(self): + raise NotImplementedError + + +class Variable(Node): + + def serialize(self): + return str(self) + + +class Value(Node): + + def serialize(self): + return '"{0}"'.format(self) + + +class Op(Node): + + def serialize(self): + return str(self) + + +VARIABLE = ( + L("implementation_version") | + L("platform_python_implementation") | + L("implementation_name") | + L("python_full_version") | + L("platform_release") | + L("platform_version") | + L("platform_machine") | + L("platform_system") | + L("python_version") | + L("sys_platform") | + L("os_name") | + L("os.name") | # PEP-345 + L("sys.platform") | # PEP-345 + L("platform.version") | # PEP-345 + L("platform.machine") | # PEP-345 + L("platform.python_implementation") | # PEP-345 + L("python_implementation") | # undocumented setuptools legacy + L("extra") +) +ALIASES = { + 'os.name': 'os_name', + 'sys.platform': 'sys_platform', + 'platform.version': 'platform_version', + 'platform.machine': 'platform_machine', + 'platform.python_implementation': 'platform_python_implementation', + 'python_implementation': 'platform_python_implementation' +} +VARIABLE.setParseAction(lambda s, l, t: Variable(ALIASES.get(t[0], t[0]))) + +VERSION_CMP = ( + L("===") | + L("==") | + L(">=") | + L("<=") | + L("!=") | + L("~=") | + L(">") | + L("<") +) + +MARKER_OP = VERSION_CMP | L("not in") | L("in") +MARKER_OP.setParseAction(lambda s, l, t: Op(t[0])) + +MARKER_VALUE = QuotedString("'") | QuotedString('"') +MARKER_VALUE.setParseAction(lambda s, l, t: Value(t[0])) + +BOOLOP = L("and") | L("or") + +MARKER_VAR = VARIABLE | MARKER_VALUE + +MARKER_ITEM = Group(MARKER_VAR + MARKER_OP + MARKER_VAR) +MARKER_ITEM.setParseAction(lambda s, l, t: tuple(t[0])) + +LPAREN = L("(").suppress() +RPAREN = L(")").suppress() + +MARKER_EXPR = Forward() +MARKER_ATOM = MARKER_ITEM | Group(LPAREN + MARKER_EXPR + RPAREN) +MARKER_EXPR << MARKER_ATOM + ZeroOrMore(BOOLOP + MARKER_EXPR) + +MARKER = stringStart + MARKER_EXPR + stringEnd + + +def _coerce_parse_result(results): + if isinstance(results, ParseResults): + return [_coerce_parse_result(i) for i in results] + else: + return results + + +def _format_marker(marker, first=True): + assert isinstance(marker, (list, tuple, string_types)) + + # Sometimes we have a structure like [[...]] which is a single item list + # where the single item is itself it's own list. In that case we want skip + # the rest of this function so that we don't get extraneous () on the + # outside. + if (isinstance(marker, list) and len(marker) == 1 and + isinstance(marker[0], (list, tuple))): + return _format_marker(marker[0]) + + if isinstance(marker, list): + inner = (_format_marker(m, first=False) for m in marker) + if first: + return " ".join(inner) + else: + return "(" + " ".join(inner) + ")" + elif isinstance(marker, tuple): + return " ".join([m.serialize() for m in marker]) + else: + return marker + + +_operators = { + "in": lambda lhs, rhs: lhs in rhs, + "not in": lambda lhs, rhs: lhs not in rhs, + "<": operator.lt, + "<=": operator.le, + "==": operator.eq, + "!=": operator.ne, + ">=": operator.ge, + ">": operator.gt, +} + + +def _eval_op(lhs, op, rhs): + try: + spec = Specifier("".join([op.serialize(), rhs])) + except InvalidSpecifier: + pass + else: + return spec.contains(lhs) + + oper = _operators.get(op.serialize()) + if oper is None: + raise UndefinedComparison( + "Undefined {0!r} on {1!r} and {2!r}.".format(op, lhs, rhs) + ) + + return oper(lhs, rhs) + + +_undefined = object() + + +def _get_env(environment, name): + value = environment.get(name, _undefined) + + if value is _undefined: + raise UndefinedEnvironmentName( + "{0!r} does not exist in evaluation environment.".format(name) + ) + + return value + + +def _evaluate_markers(markers, environment): + groups = [[]] + + for marker in markers: + assert isinstance(marker, (list, tuple, string_types)) + + if isinstance(marker, list): + groups[-1].append(_evaluate_markers(marker, environment)) + elif isinstance(marker, tuple): + lhs, op, rhs = marker + + if isinstance(lhs, Variable): + lhs_value = _get_env(environment, lhs.value) + rhs_value = rhs.value + else: + lhs_value = lhs.value + rhs_value = _get_env(environment, rhs.value) + + groups[-1].append(_eval_op(lhs_value, op, rhs_value)) + else: + assert marker in ["and", "or"] + if marker == "or": + groups.append([]) + + return any(all(item) for item in groups) + + +def format_full_version(info): + version = '{0.major}.{0.minor}.{0.micro}'.format(info) + kind = info.releaselevel + if kind != 'final': + version += kind[0] + str(info.serial) + return version + + +def default_environment(): + if hasattr(sys, 'implementation'): + iver = format_full_version(sys.implementation.version) + implementation_name = sys.implementation.name + else: + iver = '0' + implementation_name = '' + + return { + "implementation_name": implementation_name, + "implementation_version": iver, + "os_name": os.name, + "platform_machine": platform.machine(), + "platform_release": platform.release(), + "platform_system": platform.system(), + "platform_version": platform.version(), + "python_full_version": platform.python_version(), + "platform_python_implementation": platform.python_implementation(), + "python_version": platform.python_version()[:3], + "sys_platform": sys.platform, + } + + +class Marker(object): + + def __init__(self, marker): + try: + self._markers = _coerce_parse_result(MARKER.parseString(marker)) + except ParseException as e: + err_str = "Invalid marker: {0!r}, parse error at {1!r}".format( + marker, marker[e.loc:e.loc + 8]) + raise InvalidMarker(err_str) + + def __str__(self): + return _format_marker(self._markers) + + def __repr__(self): + return "".format(str(self)) + + def evaluate(self, environment=None): + """Evaluate a marker. + + Return the boolean from evaluating the given marker against the + environment. environment is an optional argument to override all or + part of the determined environment. + + The environment is determined from the current Python process. + """ + current_environment = default_environment() + if environment is not None: + current_environment.update(environment) + + return _evaluate_markers(self._markers, current_environment) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/requirements.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/requirements.py new file mode 100644 index 0000000000000000000000000000000000000000..0c8c4a3852fd37053fd552846aa7787805c30a48 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/requirements.py @@ -0,0 +1,127 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +from __future__ import absolute_import, division, print_function + +import string +import re + +from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException +from pkg_resources.extern.pyparsing import ZeroOrMore, Word, Optional, Regex, Combine +from pkg_resources.extern.pyparsing import Literal as L # noqa +from pkg_resources.extern.six.moves.urllib import parse as urlparse + +from .markers import MARKER_EXPR, Marker +from .specifiers import LegacySpecifier, Specifier, SpecifierSet + + +class InvalidRequirement(ValueError): + """ + An invalid requirement was found, users should refer to PEP 508. + """ + + +ALPHANUM = Word(string.ascii_letters + string.digits) + +LBRACKET = L("[").suppress() +RBRACKET = L("]").suppress() +LPAREN = L("(").suppress() +RPAREN = L(")").suppress() +COMMA = L(",").suppress() +SEMICOLON = L(";").suppress() +AT = L("@").suppress() + +PUNCTUATION = Word("-_.") +IDENTIFIER_END = ALPHANUM | (ZeroOrMore(PUNCTUATION) + ALPHANUM) +IDENTIFIER = Combine(ALPHANUM + ZeroOrMore(IDENTIFIER_END)) + +NAME = IDENTIFIER("name") +EXTRA = IDENTIFIER + +URI = Regex(r'[^ ]+')("url") +URL = (AT + URI) + +EXTRAS_LIST = EXTRA + ZeroOrMore(COMMA + EXTRA) +EXTRAS = (LBRACKET + Optional(EXTRAS_LIST) + RBRACKET)("extras") + +VERSION_PEP440 = Regex(Specifier._regex_str, re.VERBOSE | re.IGNORECASE) +VERSION_LEGACY = Regex(LegacySpecifier._regex_str, re.VERBOSE | re.IGNORECASE) + +VERSION_ONE = VERSION_PEP440 ^ VERSION_LEGACY +VERSION_MANY = Combine(VERSION_ONE + ZeroOrMore(COMMA + VERSION_ONE), + joinString=",", adjacent=False)("_raw_spec") +_VERSION_SPEC = Optional(((LPAREN + VERSION_MANY + RPAREN) | VERSION_MANY)) +_VERSION_SPEC.setParseAction(lambda s, l, t: t._raw_spec or '') + +VERSION_SPEC = originalTextFor(_VERSION_SPEC)("specifier") +VERSION_SPEC.setParseAction(lambda s, l, t: t[1]) + +MARKER_EXPR = originalTextFor(MARKER_EXPR())("marker") +MARKER_EXPR.setParseAction( + lambda s, l, t: Marker(s[t._original_start:t._original_end]) +) +MARKER_SEPERATOR = SEMICOLON +MARKER = MARKER_SEPERATOR + MARKER_EXPR + +VERSION_AND_MARKER = VERSION_SPEC + Optional(MARKER) +URL_AND_MARKER = URL + Optional(MARKER) + +NAMED_REQUIREMENT = \ + NAME + Optional(EXTRAS) + (URL_AND_MARKER | VERSION_AND_MARKER) + +REQUIREMENT = stringStart + NAMED_REQUIREMENT + stringEnd + + +class Requirement(object): + """Parse a requirement. + + Parse a given requirement string into its parts, such as name, specifier, + URL, and extras. Raises InvalidRequirement on a badly-formed requirement + string. + """ + + # TODO: Can we test whether something is contained within a requirement? + # If so how do we do that? Do we need to test against the _name_ of + # the thing as well as the version? What about the markers? + # TODO: Can we normalize the name and extra name? + + def __init__(self, requirement_string): + try: + req = REQUIREMENT.parseString(requirement_string) + except ParseException as e: + raise InvalidRequirement( + "Invalid requirement, parse error at \"{0!r}\"".format( + requirement_string[e.loc:e.loc + 8])) + + self.name = req.name + if req.url: + parsed_url = urlparse.urlparse(req.url) + if not (parsed_url.scheme and parsed_url.netloc) or ( + not parsed_url.scheme and not parsed_url.netloc): + raise InvalidRequirement("Invalid URL given") + self.url = req.url + else: + self.url = None + self.extras = set(req.extras.asList() if req.extras else []) + self.specifier = SpecifierSet(req.specifier) + self.marker = req.marker if req.marker else None + + def __str__(self): + parts = [self.name] + + if self.extras: + parts.append("[{0}]".format(",".join(sorted(self.extras)))) + + if self.specifier: + parts.append(str(self.specifier)) + + if self.url: + parts.append("@ {0}".format(self.url)) + + if self.marker: + parts.append("; {0}".format(self.marker)) + + return "".join(parts) + + def __repr__(self): + return "".format(str(self)) diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/specifiers.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/specifiers.py new file mode 100644 index 0000000000000000000000000000000000000000..7f5a76cfd63f47dcce29b3ea82f59d10f4e8d771 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/specifiers.py @@ -0,0 +1,774 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +from __future__ import absolute_import, division, print_function + +import abc +import functools +import itertools +import re + +from ._compat import string_types, with_metaclass +from .version import Version, LegacyVersion, parse + + +class InvalidSpecifier(ValueError): + """ + An invalid specifier was found, users should refer to PEP 440. + """ + + +class BaseSpecifier(with_metaclass(abc.ABCMeta, object)): + + @abc.abstractmethod + def __str__(self): + """ + Returns the str representation of this Specifier like object. This + should be representative of the Specifier itself. + """ + + @abc.abstractmethod + def __hash__(self): + """ + Returns a hash value for this Specifier like object. + """ + + @abc.abstractmethod + def __eq__(self, other): + """ + Returns a boolean representing whether or not the two Specifier like + objects are equal. + """ + + @abc.abstractmethod + def __ne__(self, other): + """ + Returns a boolean representing whether or not the two Specifier like + objects are not equal. + """ + + @abc.abstractproperty + def prereleases(self): + """ + Returns whether or not pre-releases as a whole are allowed by this + specifier. + """ + + @prereleases.setter + def prereleases(self, value): + """ + Sets whether or not pre-releases as a whole are allowed by this + specifier. + """ + + @abc.abstractmethod + def contains(self, item, prereleases=None): + """ + Determines if the given item is contained within this specifier. + """ + + @abc.abstractmethod + def filter(self, iterable, prereleases=None): + """ + Takes an iterable of items and filters them so that only items which + are contained within this specifier are allowed in it. + """ + + +class _IndividualSpecifier(BaseSpecifier): + + _operators = {} + + def __init__(self, spec="", prereleases=None): + match = self._regex.search(spec) + if not match: + raise InvalidSpecifier("Invalid specifier: '{0}'".format(spec)) + + self._spec = ( + match.group("operator").strip(), + match.group("version").strip(), + ) + + # Store whether or not this Specifier should accept prereleases + self._prereleases = prereleases + + def __repr__(self): + pre = ( + ", prereleases={0!r}".format(self.prereleases) + if self._prereleases is not None + else "" + ) + + return "<{0}({1!r}{2})>".format( + self.__class__.__name__, + str(self), + pre, + ) + + def __str__(self): + return "{0}{1}".format(*self._spec) + + def __hash__(self): + return hash(self._spec) + + def __eq__(self, other): + if isinstance(other, string_types): + try: + other = self.__class__(other) + except InvalidSpecifier: + return NotImplemented + elif not isinstance(other, self.__class__): + return NotImplemented + + return self._spec == other._spec + + def __ne__(self, other): + if isinstance(other, string_types): + try: + other = self.__class__(other) + except InvalidSpecifier: + return NotImplemented + elif not isinstance(other, self.__class__): + return NotImplemented + + return self._spec != other._spec + + def _get_operator(self, op): + return getattr(self, "_compare_{0}".format(self._operators[op])) + + def _coerce_version(self, version): + if not isinstance(version, (LegacyVersion, Version)): + version = parse(version) + return version + + @property + def operator(self): + return self._spec[0] + + @property + def version(self): + return self._spec[1] + + @property + def prereleases(self): + return self._prereleases + + @prereleases.setter + def prereleases(self, value): + self._prereleases = value + + def __contains__(self, item): + return self.contains(item) + + def contains(self, item, prereleases=None): + # Determine if prereleases are to be allowed or not. + if prereleases is None: + prereleases = self.prereleases + + # Normalize item to a Version or LegacyVersion, this allows us to have + # a shortcut for ``"2.0" in Specifier(">=2") + item = self._coerce_version(item) + + # Determine if we should be supporting prereleases in this specifier + # or not, if we do not support prereleases than we can short circuit + # logic if this version is a prereleases. + if item.is_prerelease and not prereleases: + return False + + # Actually do the comparison to determine if this item is contained + # within this Specifier or not. + return self._get_operator(self.operator)(item, self.version) + + def filter(self, iterable, prereleases=None): + yielded = False + found_prereleases = [] + + kw = {"prereleases": prereleases if prereleases is not None else True} + + # Attempt to iterate over all the values in the iterable and if any of + # them match, yield them. + for version in iterable: + parsed_version = self._coerce_version(version) + + if self.contains(parsed_version, **kw): + # If our version is a prerelease, and we were not set to allow + # prereleases, then we'll store it for later incase nothing + # else matches this specifier. + if (parsed_version.is_prerelease and not + (prereleases or self.prereleases)): + found_prereleases.append(version) + # Either this is not a prerelease, or we should have been + # accepting prereleases from the begining. + else: + yielded = True + yield version + + # Now that we've iterated over everything, determine if we've yielded + # any values, and if we have not and we have any prereleases stored up + # then we will go ahead and yield the prereleases. + if not yielded and found_prereleases: + for version in found_prereleases: + yield version + + +class LegacySpecifier(_IndividualSpecifier): + + _regex_str = ( + r""" + (?P(==|!=|<=|>=|<|>)) + \s* + (?P + [^,;\s)]* # Since this is a "legacy" specifier, and the version + # string can be just about anything, we match everything + # except for whitespace, a semi-colon for marker support, + # a closing paren since versions can be enclosed in + # them, and a comma since it's a version separator. + ) + """ + ) + + _regex = re.compile( + r"^\s*" + _regex_str + r"\s*$", re.VERBOSE | re.IGNORECASE) + + _operators = { + "==": "equal", + "!=": "not_equal", + "<=": "less_than_equal", + ">=": "greater_than_equal", + "<": "less_than", + ">": "greater_than", + } + + def _coerce_version(self, version): + if not isinstance(version, LegacyVersion): + version = LegacyVersion(str(version)) + return version + + def _compare_equal(self, prospective, spec): + return prospective == self._coerce_version(spec) + + def _compare_not_equal(self, prospective, spec): + return prospective != self._coerce_version(spec) + + def _compare_less_than_equal(self, prospective, spec): + return prospective <= self._coerce_version(spec) + + def _compare_greater_than_equal(self, prospective, spec): + return prospective >= self._coerce_version(spec) + + def _compare_less_than(self, prospective, spec): + return prospective < self._coerce_version(spec) + + def _compare_greater_than(self, prospective, spec): + return prospective > self._coerce_version(spec) + + +def _require_version_compare(fn): + @functools.wraps(fn) + def wrapped(self, prospective, spec): + if not isinstance(prospective, Version): + return False + return fn(self, prospective, spec) + return wrapped + + +class Specifier(_IndividualSpecifier): + + _regex_str = ( + r""" + (?P(~=|==|!=|<=|>=|<|>|===)) + (?P + (?: + # The identity operators allow for an escape hatch that will + # do an exact string match of the version you wish to install. + # This will not be parsed by PEP 440 and we cannot determine + # any semantic meaning from it. This operator is discouraged + # but included entirely as an escape hatch. + (?<====) # Only match for the identity operator + \s* + [^\s]* # We just match everything, except for whitespace + # since we are only testing for strict identity. + ) + | + (?: + # The (non)equality operators allow for wild card and local + # versions to be specified so we have to define these two + # operators separately to enable that. + (?<===|!=) # Only match for equals and not equals + + \s* + v? + (?:[0-9]+!)? # epoch + [0-9]+(?:\.[0-9]+)* # release + (?: # pre release + [-_\.]? + (a|b|c|rc|alpha|beta|pre|preview) + [-_\.]? + [0-9]* + )? + (?: # post release + (?:-[0-9]+)|(?:[-_\.]?(post|rev|r)[-_\.]?[0-9]*) + )? + + # You cannot use a wild card and a dev or local version + # together so group them with a | and make them optional. + (?: + (?:[-_\.]?dev[-_\.]?[0-9]*)? # dev release + (?:\+[a-z0-9]+(?:[-_\.][a-z0-9]+)*)? # local + | + \.\* # Wild card syntax of .* + )? + ) + | + (?: + # The compatible operator requires at least two digits in the + # release segment. + (?<=~=) # Only match for the compatible operator + + \s* + v? + (?:[0-9]+!)? # epoch + [0-9]+(?:\.[0-9]+)+ # release (We have a + instead of a *) + (?: # pre release + [-_\.]? + (a|b|c|rc|alpha|beta|pre|preview) + [-_\.]? + [0-9]* + )? + (?: # post release + (?:-[0-9]+)|(?:[-_\.]?(post|rev|r)[-_\.]?[0-9]*) + )? + (?:[-_\.]?dev[-_\.]?[0-9]*)? # dev release + ) + | + (?: + # All other operators only allow a sub set of what the + # (non)equality operators do. Specifically they do not allow + # local versions to be specified nor do they allow the prefix + # matching wild cards. + (?=": "greater_than_equal", + "<": "less_than", + ">": "greater_than", + "===": "arbitrary", + } + + @_require_version_compare + def _compare_compatible(self, prospective, spec): + # Compatible releases have an equivalent combination of >= and ==. That + # is that ~=2.2 is equivalent to >=2.2,==2.*. This allows us to + # implement this in terms of the other specifiers instead of + # implementing it ourselves. The only thing we need to do is construct + # the other specifiers. + + # We want everything but the last item in the version, but we want to + # ignore post and dev releases and we want to treat the pre-release as + # it's own separate segment. + prefix = ".".join( + list( + itertools.takewhile( + lambda x: (not x.startswith("post") and not + x.startswith("dev")), + _version_split(spec), + ) + )[:-1] + ) + + # Add the prefix notation to the end of our string + prefix += ".*" + + return (self._get_operator(">=")(prospective, spec) and + self._get_operator("==")(prospective, prefix)) + + @_require_version_compare + def _compare_equal(self, prospective, spec): + # We need special logic to handle prefix matching + if spec.endswith(".*"): + # In the case of prefix matching we want to ignore local segment. + prospective = Version(prospective.public) + # Split the spec out by dots, and pretend that there is an implicit + # dot in between a release segment and a pre-release segment. + spec = _version_split(spec[:-2]) # Remove the trailing .* + + # Split the prospective version out by dots, and pretend that there + # is an implicit dot in between a release segment and a pre-release + # segment. + prospective = _version_split(str(prospective)) + + # Shorten the prospective version to be the same length as the spec + # so that we can determine if the specifier is a prefix of the + # prospective version or not. + prospective = prospective[:len(spec)] + + # Pad out our two sides with zeros so that they both equal the same + # length. + spec, prospective = _pad_version(spec, prospective) + else: + # Convert our spec string into a Version + spec = Version(spec) + + # If the specifier does not have a local segment, then we want to + # act as if the prospective version also does not have a local + # segment. + if not spec.local: + prospective = Version(prospective.public) + + return prospective == spec + + @_require_version_compare + def _compare_not_equal(self, prospective, spec): + return not self._compare_equal(prospective, spec) + + @_require_version_compare + def _compare_less_than_equal(self, prospective, spec): + return prospective <= Version(spec) + + @_require_version_compare + def _compare_greater_than_equal(self, prospective, spec): + return prospective >= Version(spec) + + @_require_version_compare + def _compare_less_than(self, prospective, spec): + # Convert our spec to a Version instance, since we'll want to work with + # it as a version. + spec = Version(spec) + + # Check to see if the prospective version is less than the spec + # version. If it's not we can short circuit and just return False now + # instead of doing extra unneeded work. + if not prospective < spec: + return False + + # This special case is here so that, unless the specifier itself + # includes is a pre-release version, that we do not accept pre-release + # versions for the version mentioned in the specifier (e.g. <3.1 should + # not match 3.1.dev0, but should match 3.0.dev0). + if not spec.is_prerelease and prospective.is_prerelease: + if Version(prospective.base_version) == Version(spec.base_version): + return False + + # If we've gotten to here, it means that prospective version is both + # less than the spec version *and* it's not a pre-release of the same + # version in the spec. + return True + + @_require_version_compare + def _compare_greater_than(self, prospective, spec): + # Convert our spec to a Version instance, since we'll want to work with + # it as a version. + spec = Version(spec) + + # Check to see if the prospective version is greater than the spec + # version. If it's not we can short circuit and just return False now + # instead of doing extra unneeded work. + if not prospective > spec: + return False + + # This special case is here so that, unless the specifier itself + # includes is a post-release version, that we do not accept + # post-release versions for the version mentioned in the specifier + # (e.g. >3.1 should not match 3.0.post0, but should match 3.2.post0). + if not spec.is_postrelease and prospective.is_postrelease: + if Version(prospective.base_version) == Version(spec.base_version): + return False + + # Ensure that we do not allow a local version of the version mentioned + # in the specifier, which is techincally greater than, to match. + if prospective.local is not None: + if Version(prospective.base_version) == Version(spec.base_version): + return False + + # If we've gotten to here, it means that prospective version is both + # greater than the spec version *and* it's not a pre-release of the + # same version in the spec. + return True + + def _compare_arbitrary(self, prospective, spec): + return str(prospective).lower() == str(spec).lower() + + @property + def prereleases(self): + # If there is an explicit prereleases set for this, then we'll just + # blindly use that. + if self._prereleases is not None: + return self._prereleases + + # Look at all of our specifiers and determine if they are inclusive + # operators, and if they are if they are including an explicit + # prerelease. + operator, version = self._spec + if operator in ["==", ">=", "<=", "~=", "==="]: + # The == specifier can include a trailing .*, if it does we + # want to remove before parsing. + if operator == "==" and version.endswith(".*"): + version = version[:-2] + + # Parse the version, and if it is a pre-release than this + # specifier allows pre-releases. + if parse(version).is_prerelease: + return True + + return False + + @prereleases.setter + def prereleases(self, value): + self._prereleases = value + + +_prefix_regex = re.compile(r"^([0-9]+)((?:a|b|c|rc)[0-9]+)$") + + +def _version_split(version): + result = [] + for item in version.split("."): + match = _prefix_regex.search(item) + if match: + result.extend(match.groups()) + else: + result.append(item) + return result + + +def _pad_version(left, right): + left_split, right_split = [], [] + + # Get the release segment of our versions + left_split.append(list(itertools.takewhile(lambda x: x.isdigit(), left))) + right_split.append(list(itertools.takewhile(lambda x: x.isdigit(), right))) + + # Get the rest of our versions + left_split.append(left[len(left_split[0]):]) + right_split.append(right[len(right_split[0]):]) + + # Insert our padding + left_split.insert( + 1, + ["0"] * max(0, len(right_split[0]) - len(left_split[0])), + ) + right_split.insert( + 1, + ["0"] * max(0, len(left_split[0]) - len(right_split[0])), + ) + + return ( + list(itertools.chain(*left_split)), + list(itertools.chain(*right_split)), + ) + + +class SpecifierSet(BaseSpecifier): + + def __init__(self, specifiers="", prereleases=None): + # Split on , to break each indidivual specifier into it's own item, and + # strip each item to remove leading/trailing whitespace. + specifiers = [s.strip() for s in specifiers.split(",") if s.strip()] + + # Parsed each individual specifier, attempting first to make it a + # Specifier and falling back to a LegacySpecifier. + parsed = set() + for specifier in specifiers: + try: + parsed.add(Specifier(specifier)) + except InvalidSpecifier: + parsed.add(LegacySpecifier(specifier)) + + # Turn our parsed specifiers into a frozen set and save them for later. + self._specs = frozenset(parsed) + + # Store our prereleases value so we can use it later to determine if + # we accept prereleases or not. + self._prereleases = prereleases + + def __repr__(self): + pre = ( + ", prereleases={0!r}".format(self.prereleases) + if self._prereleases is not None + else "" + ) + + return "".format(str(self), pre) + + def __str__(self): + return ",".join(sorted(str(s) for s in self._specs)) + + def __hash__(self): + return hash(self._specs) + + def __and__(self, other): + if isinstance(other, string_types): + other = SpecifierSet(other) + elif not isinstance(other, SpecifierSet): + return NotImplemented + + specifier = SpecifierSet() + specifier._specs = frozenset(self._specs | other._specs) + + if self._prereleases is None and other._prereleases is not None: + specifier._prereleases = other._prereleases + elif self._prereleases is not None and other._prereleases is None: + specifier._prereleases = self._prereleases + elif self._prereleases == other._prereleases: + specifier._prereleases = self._prereleases + else: + raise ValueError( + "Cannot combine SpecifierSets with True and False prerelease " + "overrides." + ) + + return specifier + + def __eq__(self, other): + if isinstance(other, string_types): + other = SpecifierSet(other) + elif isinstance(other, _IndividualSpecifier): + other = SpecifierSet(str(other)) + elif not isinstance(other, SpecifierSet): + return NotImplemented + + return self._specs == other._specs + + def __ne__(self, other): + if isinstance(other, string_types): + other = SpecifierSet(other) + elif isinstance(other, _IndividualSpecifier): + other = SpecifierSet(str(other)) + elif not isinstance(other, SpecifierSet): + return NotImplemented + + return self._specs != other._specs + + def __len__(self): + return len(self._specs) + + def __iter__(self): + return iter(self._specs) + + @property + def prereleases(self): + # If we have been given an explicit prerelease modifier, then we'll + # pass that through here. + if self._prereleases is not None: + return self._prereleases + + # If we don't have any specifiers, and we don't have a forced value, + # then we'll just return None since we don't know if this should have + # pre-releases or not. + if not self._specs: + return None + + # Otherwise we'll see if any of the given specifiers accept + # prereleases, if any of them do we'll return True, otherwise False. + return any(s.prereleases for s in self._specs) + + @prereleases.setter + def prereleases(self, value): + self._prereleases = value + + def __contains__(self, item): + return self.contains(item) + + def contains(self, item, prereleases=None): + # Ensure that our item is a Version or LegacyVersion instance. + if not isinstance(item, (LegacyVersion, Version)): + item = parse(item) + + # Determine if we're forcing a prerelease or not, if we're not forcing + # one for this particular filter call, then we'll use whatever the + # SpecifierSet thinks for whether or not we should support prereleases. + if prereleases is None: + prereleases = self.prereleases + + # We can determine if we're going to allow pre-releases by looking to + # see if any of the underlying items supports them. If none of them do + # and this item is a pre-release then we do not allow it and we can + # short circuit that here. + # Note: This means that 1.0.dev1 would not be contained in something + # like >=1.0.devabc however it would be in >=1.0.debabc,>0.0.dev0 + if not prereleases and item.is_prerelease: + return False + + # We simply dispatch to the underlying specs here to make sure that the + # given version is contained within all of them. + # Note: This use of all() here means that an empty set of specifiers + # will always return True, this is an explicit design decision. + return all( + s.contains(item, prereleases=prereleases) + for s in self._specs + ) + + def filter(self, iterable, prereleases=None): + # Determine if we're forcing a prerelease or not, if we're not forcing + # one for this particular filter call, then we'll use whatever the + # SpecifierSet thinks for whether or not we should support prereleases. + if prereleases is None: + prereleases = self.prereleases + + # If we have any specifiers, then we want to wrap our iterable in the + # filter method for each one, this will act as a logical AND amongst + # each specifier. + if self._specs: + for spec in self._specs: + iterable = spec.filter(iterable, prereleases=bool(prereleases)) + return iterable + # If we do not have any specifiers, then we need to have a rough filter + # which will filter out any pre-releases, unless there are no final + # releases, and which will filter out LegacyVersion in general. + else: + filtered = [] + found_prereleases = [] + + for item in iterable: + # Ensure that we some kind of Version class for this item. + if not isinstance(item, (LegacyVersion, Version)): + parsed_version = parse(item) + else: + parsed_version = item + + # Filter out any item which is parsed as a LegacyVersion + if isinstance(parsed_version, LegacyVersion): + continue + + # Store any item which is a pre-release for later unless we've + # already found a final version or we are accepting prereleases + if parsed_version.is_prerelease and not prereleases: + if not filtered: + found_prereleases.append(item) + else: + filtered.append(item) + + # If we've found no items except for pre-releases, then we'll go + # ahead and use the pre-releases + if not filtered and found_prereleases and prereleases is None: + return found_prereleases + + return filtered diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/utils.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..942387cef5d75f299a769b1eb43b6c7679e7a3a0 --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/utils.py @@ -0,0 +1,14 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +from __future__ import absolute_import, division, print_function + +import re + + +_canonicalize_regex = re.compile(r"[-_.]+") + + +def canonicalize_name(name): + # This is taken from PEP 503. + return _canonicalize_regex.sub("-", name).lower() diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/version.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/version.py new file mode 100644 index 0000000000000000000000000000000000000000..83b5ee8c5efadf22ce2f16ff08c8a8d75f1eb5df --- /dev/null +++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/version.py @@ -0,0 +1,393 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +from __future__ import absolute_import, division, print_function + +import collections +import itertools +import re + +from ._structures import Infinity + + +__all__ = [ + "parse", "Version", "LegacyVersion", "InvalidVersion", "VERSION_PATTERN" +] + + +_Version = collections.namedtuple( + "_Version", + ["epoch", "release", "dev", "pre", "post", "local"], +) + + +def parse(version): + """ + Parse the given version string and return either a :class:`Version` object + or a :class:`LegacyVersion` object depending on if the given version is + a valid PEP 440 version or a legacy version. + """ + try: + return Version(version) + except InvalidVersion: + return LegacyVersion(version) + + +class InvalidVersion(ValueError): + """ + An invalid version was found, users should refer to PEP 440. + """ + + +class _BaseVersion(object): + + def __hash__(self): + return hash(self._key) + + def __lt__(self, other): + return self._compare(other, lambda s, o: s < o) + + def __le__(self, other): + return self._compare(other, lambda s, o: s <= o) + + def __eq__(self, other): + return self._compare(other, lambda s, o: s == o) + + def __ge__(self, other): + return self._compare(other, lambda s, o: s >= o) + + def __gt__(self, other): + return self._compare(other, lambda s, o: s > o) + + def __ne__(self, other): + return self._compare(other, lambda s, o: s != o) + + def _compare(self, other, method): + if not isinstance(other, _BaseVersion): + return NotImplemented + + return method(self._key, other._key) + + +class LegacyVersion(_BaseVersion): + + def __init__(self, version): + self._version = str(version) + self._key = _legacy_cmpkey(self._version) + + def __str__(self): + return self._version + + def __repr__(self): + return "".format(repr(str(self))) + + @property + def public(self): + return self._version + + @property + def base_version(self): + return self._version + + @property + def local(self): + return None + + @property + def is_prerelease(self): + return False + + @property + def is_postrelease(self): + return False + + +_legacy_version_component_re = re.compile( + r"(\d+ | [a-z]+ | \.| -)", re.VERBOSE, +) + +_legacy_version_replacement_map = { + "pre": "c", "preview": "c", "-": "final-", "rc": "c", "dev": "@", +} + + +def _parse_version_parts(s): + for part in _legacy_version_component_re.split(s): + part = _legacy_version_replacement_map.get(part, part) + + if not part or part == ".": + continue + + if part[:1] in "0123456789": + # pad for numeric comparison + yield part.zfill(8) + else: + yield "*" + part + + # ensure that alpha/beta/candidate are before final + yield "*final" + + +def _legacy_cmpkey(version): + # We hardcode an epoch of -1 here. A PEP 440 version can only have a epoch + # greater than or equal to 0. This will effectively put the LegacyVersion, + # which uses the defacto standard originally implemented by setuptools, + # as before all PEP 440 versions. + epoch = -1 + + # This scheme is taken from pkg_resources.parse_version setuptools prior to + # it's adoption of the packaging library. + parts = [] + for part in _parse_version_parts(version.lower()): + if part.startswith("*"): + # remove "-" before a prerelease tag + if part < "*final": + while parts and parts[-1] == "*final-": + parts.pop() + + # remove trailing zeros from each series of numeric parts + while parts and parts[-1] == "00000000": + parts.pop() + + parts.append(part) + parts = tuple(parts) + + return epoch, parts + +# Deliberately not anchored to the start and end of the string, to make it +# easier for 3rd party code to reuse +VERSION_PATTERN = r""" + v? + (?: + (?:(?P[0-9]+)!)? # epoch + (?P[0-9]+(?:\.[0-9]+)*) # release segment + (?P
                                          # pre-release
+            [-_\.]?
+            (?P(a|b|c|rc|alpha|beta|pre|preview))
+            [-_\.]?
+            (?P[0-9]+)?
+        )?
+        (?P                                         # post release
+            (?:-(?P[0-9]+))
+            |
+            (?:
+                [-_\.]?
+                (?Ppost|rev|r)
+                [-_\.]?
+                (?P[0-9]+)?
+            )
+        )?
+        (?P                                          # dev release
+            [-_\.]?
+            (?Pdev)
+            [-_\.]?
+            (?P[0-9]+)?
+        )?
+    )
+    (?:\+(?P[a-z0-9]+(?:[-_\.][a-z0-9]+)*))?       # local version
+"""
+
+
+class Version(_BaseVersion):
+
+    _regex = re.compile(
+        r"^\s*" + VERSION_PATTERN + r"\s*$",
+        re.VERBOSE | re.IGNORECASE,
+    )
+
+    def __init__(self, version):
+        # Validate the version and parse it into pieces
+        match = self._regex.search(version)
+        if not match:
+            raise InvalidVersion("Invalid version: '{0}'".format(version))
+
+        # Store the parsed out pieces of the version
+        self._version = _Version(
+            epoch=int(match.group("epoch")) if match.group("epoch") else 0,
+            release=tuple(int(i) for i in match.group("release").split(".")),
+            pre=_parse_letter_version(
+                match.group("pre_l"),
+                match.group("pre_n"),
+            ),
+            post=_parse_letter_version(
+                match.group("post_l"),
+                match.group("post_n1") or match.group("post_n2"),
+            ),
+            dev=_parse_letter_version(
+                match.group("dev_l"),
+                match.group("dev_n"),
+            ),
+            local=_parse_local_version(match.group("local")),
+        )
+
+        # Generate a key which will be used for sorting
+        self._key = _cmpkey(
+            self._version.epoch,
+            self._version.release,
+            self._version.pre,
+            self._version.post,
+            self._version.dev,
+            self._version.local,
+        )
+
+    def __repr__(self):
+        return "".format(repr(str(self)))
+
+    def __str__(self):
+        parts = []
+
+        # Epoch
+        if self._version.epoch != 0:
+            parts.append("{0}!".format(self._version.epoch))
+
+        # Release segment
+        parts.append(".".join(str(x) for x in self._version.release))
+
+        # Pre-release
+        if self._version.pre is not None:
+            parts.append("".join(str(x) for x in self._version.pre))
+
+        # Post-release
+        if self._version.post is not None:
+            parts.append(".post{0}".format(self._version.post[1]))
+
+        # Development release
+        if self._version.dev is not None:
+            parts.append(".dev{0}".format(self._version.dev[1]))
+
+        # Local version segment
+        if self._version.local is not None:
+            parts.append(
+                "+{0}".format(".".join(str(x) for x in self._version.local))
+            )
+
+        return "".join(parts)
+
+    @property
+    def public(self):
+        return str(self).split("+", 1)[0]
+
+    @property
+    def base_version(self):
+        parts = []
+
+        # Epoch
+        if self._version.epoch != 0:
+            parts.append("{0}!".format(self._version.epoch))
+
+        # Release segment
+        parts.append(".".join(str(x) for x in self._version.release))
+
+        return "".join(parts)
+
+    @property
+    def local(self):
+        version_string = str(self)
+        if "+" in version_string:
+            return version_string.split("+", 1)[1]
+
+    @property
+    def is_prerelease(self):
+        return bool(self._version.dev or self._version.pre)
+
+    @property
+    def is_postrelease(self):
+        return bool(self._version.post)
+
+
+def _parse_letter_version(letter, number):
+    if letter:
+        # We consider there to be an implicit 0 in a pre-release if there is
+        # not a numeral associated with it.
+        if number is None:
+            number = 0
+
+        # We normalize any letters to their lower case form
+        letter = letter.lower()
+
+        # We consider some words to be alternate spellings of other words and
+        # in those cases we want to normalize the spellings to our preferred
+        # spelling.
+        if letter == "alpha":
+            letter = "a"
+        elif letter == "beta":
+            letter = "b"
+        elif letter in ["c", "pre", "preview"]:
+            letter = "rc"
+        elif letter in ["rev", "r"]:
+            letter = "post"
+
+        return letter, int(number)
+    if not letter and number:
+        # We assume if we are given a number, but we are not given a letter
+        # then this is using the implicit post release syntax (e.g. 1.0-1)
+        letter = "post"
+
+        return letter, int(number)
+
+
+_local_version_seperators = re.compile(r"[\._-]")
+
+
+def _parse_local_version(local):
+    """
+    Takes a string like abc.1.twelve and turns it into ("abc", 1, "twelve").
+    """
+    if local is not None:
+        return tuple(
+            part.lower() if not part.isdigit() else int(part)
+            for part in _local_version_seperators.split(local)
+        )
+
+
+def _cmpkey(epoch, release, pre, post, dev, local):
+    # When we compare a release version, we want to compare it with all of the
+    # trailing zeros removed. So we'll use a reverse the list, drop all the now
+    # leading zeros until we come to something non zero, then take the rest
+    # re-reverse it back into the correct order and make it a tuple and use
+    # that for our sorting key.
+    release = tuple(
+        reversed(list(
+            itertools.dropwhile(
+                lambda x: x == 0,
+                reversed(release),
+            )
+        ))
+    )
+
+    # We need to "trick" the sorting algorithm to put 1.0.dev0 before 1.0a0.
+    # We'll do this by abusing the pre segment, but we _only_ want to do this
+    # if there is not a pre or a post segment. If we have one of those then
+    # the normal sorting rules will handle this case correctly.
+    if pre is None and post is None and dev is not None:
+        pre = -Infinity
+    # Versions without a pre-release (except as noted above) should sort after
+    # those with one.
+    elif pre is None:
+        pre = Infinity
+
+    # Versions without a post segment should sort before those with one.
+    if post is None:
+        post = -Infinity
+
+    # Versions without a development segment should sort after those with one.
+    if dev is None:
+        dev = Infinity
+
+    if local is None:
+        # Versions without a local segment should sort before those with one.
+        local = -Infinity
+    else:
+        # Versions with a local segment need that segment parsed to implement
+        # the sorting rules in PEP440.
+        # - Alpha numeric segments sort before numeric segments
+        # - Alpha numeric segments sort lexicographically
+        # - Numeric segments sort numerically
+        # - Shorter versions sort before longer versions when the prefixes
+        #   match exactly
+        local = tuple(
+            (i, "") if isinstance(i, int) else (-Infinity, i)
+            for i in local
+        )
+
+    return epoch, release, pre, post, dev, local
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/pyparsing.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/pyparsing.py
new file mode 100644
index 0000000000000000000000000000000000000000..cf75e1e5fcbfe7eac41d2a9e446c5c980741087b
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/pyparsing.py
@@ -0,0 +1,5742 @@
+# module pyparsing.py
+#
+# Copyright (c) 2003-2018  Paul T. McGuire
+#
+# Permission is hereby granted, free of charge, to any person obtaining
+# a copy of this software and associated documentation files (the
+# "Software"), to deal in the Software without restriction, including
+# without limitation the rights to use, copy, modify, merge, publish,
+# distribute, sublicense, and/or sell copies of the Software, and to
+# permit persons to whom the Software is furnished to do so, subject to
+# the following conditions:
+#
+# The above copyright notice and this permission notice shall be
+# included in all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
+# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
+# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
+# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
+# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+#
+
+__doc__ = \
+"""
+pyparsing module - Classes and methods to define and execute parsing grammars
+=============================================================================
+
+The pyparsing module is an alternative approach to creating and executing simple grammars,
+vs. the traditional lex/yacc approach, or the use of regular expressions.  With pyparsing, you
+don't need to learn a new syntax for defining grammars or matching expressions - the parsing module
+provides a library of classes that you use to construct the grammar directly in Python.
+
+Here is a program to parse "Hello, World!" (or any greeting of the form 
+C{", !"}), built up using L{Word}, L{Literal}, and L{And} elements 
+(L{'+'} operator gives L{And} expressions, strings are auto-converted to
+L{Literal} expressions)::
+
+    from pyparsing import Word, alphas
+
+    # define grammar of a greeting
+    greet = Word(alphas) + "," + Word(alphas) + "!"
+
+    hello = "Hello, World!"
+    print (hello, "->", greet.parseString(hello))
+
+The program outputs the following::
+
+    Hello, World! -> ['Hello', ',', 'World', '!']
+
+The Python representation of the grammar is quite readable, owing to the self-explanatory
+class names, and the use of '+', '|' and '^' operators.
+
+The L{ParseResults} object returned from L{ParserElement.parseString} can be accessed as a nested list, a dictionary, or an
+object with named attributes.
+
+The pyparsing module handles some of the problems that are typically vexing when writing text parsers:
+ - extra or missing whitespace (the above program will also handle "Hello,World!", "Hello  ,  World  !", etc.)
+ - quoted strings
+ - embedded comments
+
+
+Getting Started -
+-----------------
+Visit the classes L{ParserElement} and L{ParseResults} to see the base classes that most other pyparsing
+classes inherit from. Use the docstrings for examples of how to:
+ - construct literal match expressions from L{Literal} and L{CaselessLiteral} classes
+ - construct character word-group expressions using the L{Word} class
+ - see how to create repetitive expressions using L{ZeroOrMore} and L{OneOrMore} classes
+ - use L{'+'}, L{'|'}, L{'^'}, and L{'&'} operators to combine simple expressions into more complex ones
+ - associate names with your parsed results using L{ParserElement.setResultsName}
+ - find some helpful expression short-cuts like L{delimitedList} and L{oneOf}
+ - find more useful common expressions in the L{pyparsing_common} namespace class
+"""
+
+__version__ = "2.2.1"
+__versionTime__ = "18 Sep 2018 00:49 UTC"
+__author__ = "Paul McGuire "
+
+import string
+from weakref import ref as wkref
+import copy
+import sys
+import warnings
+import re
+import sre_constants
+import collections
+import pprint
+import traceback
+import types
+from datetime import datetime
+
+try:
+    from _thread import RLock
+except ImportError:
+    from threading import RLock
+
+try:
+    # Python 3
+    from collections.abc import Iterable
+    from collections.abc import MutableMapping
+except ImportError:
+    # Python 2.7
+    from collections import Iterable
+    from collections import MutableMapping
+
+try:
+    from collections import OrderedDict as _OrderedDict
+except ImportError:
+    try:
+        from ordereddict import OrderedDict as _OrderedDict
+    except ImportError:
+        _OrderedDict = None
+
+#~ sys.stderr.write( "testing pyparsing module, version %s, %s\n" % (__version__,__versionTime__ ) )
+
+__all__ = [
+'And', 'CaselessKeyword', 'CaselessLiteral', 'CharsNotIn', 'Combine', 'Dict', 'Each', 'Empty',
+'FollowedBy', 'Forward', 'GoToColumn', 'Group', 'Keyword', 'LineEnd', 'LineStart', 'Literal',
+'MatchFirst', 'NoMatch', 'NotAny', 'OneOrMore', 'OnlyOnce', 'Optional', 'Or',
+'ParseBaseException', 'ParseElementEnhance', 'ParseException', 'ParseExpression', 'ParseFatalException',
+'ParseResults', 'ParseSyntaxException', 'ParserElement', 'QuotedString', 'RecursiveGrammarException',
+'Regex', 'SkipTo', 'StringEnd', 'StringStart', 'Suppress', 'Token', 'TokenConverter', 
+'White', 'Word', 'WordEnd', 'WordStart', 'ZeroOrMore',
+'alphanums', 'alphas', 'alphas8bit', 'anyCloseTag', 'anyOpenTag', 'cStyleComment', 'col',
+'commaSeparatedList', 'commonHTMLEntity', 'countedArray', 'cppStyleComment', 'dblQuotedString',
+'dblSlashComment', 'delimitedList', 'dictOf', 'downcaseTokens', 'empty', 'hexnums',
+'htmlComment', 'javaStyleComment', 'line', 'lineEnd', 'lineStart', 'lineno',
+'makeHTMLTags', 'makeXMLTags', 'matchOnlyAtCol', 'matchPreviousExpr', 'matchPreviousLiteral',
+'nestedExpr', 'nullDebugAction', 'nums', 'oneOf', 'opAssoc', 'operatorPrecedence', 'printables',
+'punc8bit', 'pythonStyleComment', 'quotedString', 'removeQuotes', 'replaceHTMLEntity', 
+'replaceWith', 'restOfLine', 'sglQuotedString', 'srange', 'stringEnd',
+'stringStart', 'traceParseAction', 'unicodeString', 'upcaseTokens', 'withAttribute',
+'indentedBlock', 'originalTextFor', 'ungroup', 'infixNotation','locatedExpr', 'withClass',
+'CloseMatch', 'tokenMap', 'pyparsing_common',
+]
+
+system_version = tuple(sys.version_info)[:3]
+PY_3 = system_version[0] == 3
+if PY_3:
+    _MAX_INT = sys.maxsize
+    basestring = str
+    unichr = chr
+    _ustr = str
+
+    # build list of single arg builtins, that can be used as parse actions
+    singleArgBuiltins = [sum, len, sorted, reversed, list, tuple, set, any, all, min, max]
+
+else:
+    _MAX_INT = sys.maxint
+    range = xrange
+
+    def _ustr(obj):
+        """Drop-in replacement for str(obj) that tries to be Unicode friendly. It first tries
+           str(obj). If that fails with a UnicodeEncodeError, then it tries unicode(obj). It
+           then < returns the unicode object | encodes it with the default encoding | ... >.
+        """
+        if isinstance(obj,unicode):
+            return obj
+
+        try:
+            # If this works, then _ustr(obj) has the same behaviour as str(obj), so
+            # it won't break any existing code.
+            return str(obj)
+
+        except UnicodeEncodeError:
+            # Else encode it
+            ret = unicode(obj).encode(sys.getdefaultencoding(), 'xmlcharrefreplace')
+            xmlcharref = Regex(r'&#\d+;')
+            xmlcharref.setParseAction(lambda t: '\\u' + hex(int(t[0][2:-1]))[2:])
+            return xmlcharref.transformString(ret)
+
+    # build list of single arg builtins, tolerant of Python version, that can be used as parse actions
+    singleArgBuiltins = []
+    import __builtin__
+    for fname in "sum len sorted reversed list tuple set any all min max".split():
+        try:
+            singleArgBuiltins.append(getattr(__builtin__,fname))
+        except AttributeError:
+            continue
+            
+_generatorType = type((y for y in range(1)))
+ 
+def _xml_escape(data):
+    """Escape &, <, >, ", ', etc. in a string of data."""
+
+    # ampersand must be replaced first
+    from_symbols = '&><"\''
+    to_symbols = ('&'+s+';' for s in "amp gt lt quot apos".split())
+    for from_,to_ in zip(from_symbols, to_symbols):
+        data = data.replace(from_, to_)
+    return data
+
+class _Constants(object):
+    pass
+
+alphas     = string.ascii_uppercase + string.ascii_lowercase
+nums       = "0123456789"
+hexnums    = nums + "ABCDEFabcdef"
+alphanums  = alphas + nums
+_bslash    = chr(92)
+printables = "".join(c for c in string.printable if c not in string.whitespace)
+
+class ParseBaseException(Exception):
+    """base exception class for all parsing runtime exceptions"""
+    # Performance tuning: we construct a *lot* of these, so keep this
+    # constructor as small and fast as possible
+    def __init__( self, pstr, loc=0, msg=None, elem=None ):
+        self.loc = loc
+        if msg is None:
+            self.msg = pstr
+            self.pstr = ""
+        else:
+            self.msg = msg
+            self.pstr = pstr
+        self.parserElement = elem
+        self.args = (pstr, loc, msg)
+
+    @classmethod
+    def _from_exception(cls, pe):
+        """
+        internal factory method to simplify creating one type of ParseException 
+        from another - avoids having __init__ signature conflicts among subclasses
+        """
+        return cls(pe.pstr, pe.loc, pe.msg, pe.parserElement)
+
+    def __getattr__( self, aname ):
+        """supported attributes by name are:
+            - lineno - returns the line number of the exception text
+            - col - returns the column number of the exception text
+            - line - returns the line containing the exception text
+        """
+        if( aname == "lineno" ):
+            return lineno( self.loc, self.pstr )
+        elif( aname in ("col", "column") ):
+            return col( self.loc, self.pstr )
+        elif( aname == "line" ):
+            return line( self.loc, self.pstr )
+        else:
+            raise AttributeError(aname)
+
+    def __str__( self ):
+        return "%s (at char %d), (line:%d, col:%d)" % \
+                ( self.msg, self.loc, self.lineno, self.column )
+    def __repr__( self ):
+        return _ustr(self)
+    def markInputline( self, markerString = ">!<" ):
+        """Extracts the exception line from the input string, and marks
+           the location of the exception with a special symbol.
+        """
+        line_str = self.line
+        line_column = self.column - 1
+        if markerString:
+            line_str = "".join((line_str[:line_column],
+                                markerString, line_str[line_column:]))
+        return line_str.strip()
+    def __dir__(self):
+        return "lineno col line".split() + dir(type(self))
+
+class ParseException(ParseBaseException):
+    """
+    Exception thrown when parse expressions don't match class;
+    supported attributes by name are:
+     - lineno - returns the line number of the exception text
+     - col - returns the column number of the exception text
+     - line - returns the line containing the exception text
+        
+    Example::
+        try:
+            Word(nums).setName("integer").parseString("ABC")
+        except ParseException as pe:
+            print(pe)
+            print("column: {}".format(pe.col))
+            
+    prints::
+       Expected integer (at char 0), (line:1, col:1)
+        column: 1
+    """
+    pass
+
+class ParseFatalException(ParseBaseException):
+    """user-throwable exception thrown when inconsistent parse content
+       is found; stops all parsing immediately"""
+    pass
+
+class ParseSyntaxException(ParseFatalException):
+    """just like L{ParseFatalException}, but thrown internally when an
+       L{ErrorStop} ('-' operator) indicates that parsing is to stop 
+       immediately because an unbacktrackable syntax error has been found"""
+    pass
+
+#~ class ReparseException(ParseBaseException):
+    #~ """Experimental class - parse actions can raise this exception to cause
+       #~ pyparsing to reparse the input string:
+        #~ - with a modified input string, and/or
+        #~ - with a modified start location
+       #~ Set the values of the ReparseException in the constructor, and raise the
+       #~ exception in a parse action to cause pyparsing to use the new string/location.
+       #~ Setting the values as None causes no change to be made.
+       #~ """
+    #~ def __init_( self, newstring, restartLoc ):
+        #~ self.newParseText = newstring
+        #~ self.reparseLoc = restartLoc
+
+class RecursiveGrammarException(Exception):
+    """exception thrown by L{ParserElement.validate} if the grammar could be improperly recursive"""
+    def __init__( self, parseElementList ):
+        self.parseElementTrace = parseElementList
+
+    def __str__( self ):
+        return "RecursiveGrammarException: %s" % self.parseElementTrace
+
+class _ParseResultsWithOffset(object):
+    def __init__(self,p1,p2):
+        self.tup = (p1,p2)
+    def __getitem__(self,i):
+        return self.tup[i]
+    def __repr__(self):
+        return repr(self.tup[0])
+    def setOffset(self,i):
+        self.tup = (self.tup[0],i)
+
+class ParseResults(object):
+    """
+    Structured parse results, to provide multiple means of access to the parsed data:
+       - as a list (C{len(results)})
+       - by list index (C{results[0], results[1]}, etc.)
+       - by attribute (C{results.} - see L{ParserElement.setResultsName})
+
+    Example::
+        integer = Word(nums)
+        date_str = (integer.setResultsName("year") + '/' 
+                        + integer.setResultsName("month") + '/' 
+                        + integer.setResultsName("day"))
+        # equivalent form:
+        # date_str = integer("year") + '/' + integer("month") + '/' + integer("day")
+
+        # parseString returns a ParseResults object
+        result = date_str.parseString("1999/12/31")
+
+        def test(s, fn=repr):
+            print("%s -> %s" % (s, fn(eval(s))))
+        test("list(result)")
+        test("result[0]")
+        test("result['month']")
+        test("result.day")
+        test("'month' in result")
+        test("'minutes' in result")
+        test("result.dump()", str)
+    prints::
+        list(result) -> ['1999', '/', '12', '/', '31']
+        result[0] -> '1999'
+        result['month'] -> '12'
+        result.day -> '31'
+        'month' in result -> True
+        'minutes' in result -> False
+        result.dump() -> ['1999', '/', '12', '/', '31']
+        - day: 31
+        - month: 12
+        - year: 1999
+    """
+    def __new__(cls, toklist=None, name=None, asList=True, modal=True ):
+        if isinstance(toklist, cls):
+            return toklist
+        retobj = object.__new__(cls)
+        retobj.__doinit = True
+        return retobj
+
+    # Performance tuning: we construct a *lot* of these, so keep this
+    # constructor as small and fast as possible
+    def __init__( self, toklist=None, name=None, asList=True, modal=True, isinstance=isinstance ):
+        if self.__doinit:
+            self.__doinit = False
+            self.__name = None
+            self.__parent = None
+            self.__accumNames = {}
+            self.__asList = asList
+            self.__modal = modal
+            if toklist is None:
+                toklist = []
+            if isinstance(toklist, list):
+                self.__toklist = toklist[:]
+            elif isinstance(toklist, _generatorType):
+                self.__toklist = list(toklist)
+            else:
+                self.__toklist = [toklist]
+            self.__tokdict = dict()
+
+        if name is not None and name:
+            if not modal:
+                self.__accumNames[name] = 0
+            if isinstance(name,int):
+                name = _ustr(name) # will always return a str, but use _ustr for consistency
+            self.__name = name
+            if not (isinstance(toklist, (type(None), basestring, list)) and toklist in (None,'',[])):
+                if isinstance(toklist,basestring):
+                    toklist = [ toklist ]
+                if asList:
+                    if isinstance(toklist,ParseResults):
+                        self[name] = _ParseResultsWithOffset(toklist.copy(),0)
+                    else:
+                        self[name] = _ParseResultsWithOffset(ParseResults(toklist[0]),0)
+                    self[name].__name = name
+                else:
+                    try:
+                        self[name] = toklist[0]
+                    except (KeyError,TypeError,IndexError):
+                        self[name] = toklist
+
+    def __getitem__( self, i ):
+        if isinstance( i, (int,slice) ):
+            return self.__toklist[i]
+        else:
+            if i not in self.__accumNames:
+                return self.__tokdict[i][-1][0]
+            else:
+                return ParseResults([ v[0] for v in self.__tokdict[i] ])
+
+    def __setitem__( self, k, v, isinstance=isinstance ):
+        if isinstance(v,_ParseResultsWithOffset):
+            self.__tokdict[k] = self.__tokdict.get(k,list()) + [v]
+            sub = v[0]
+        elif isinstance(k,(int,slice)):
+            self.__toklist[k] = v
+            sub = v
+        else:
+            self.__tokdict[k] = self.__tokdict.get(k,list()) + [_ParseResultsWithOffset(v,0)]
+            sub = v
+        if isinstance(sub,ParseResults):
+            sub.__parent = wkref(self)
+
+    def __delitem__( self, i ):
+        if isinstance(i,(int,slice)):
+            mylen = len( self.__toklist )
+            del self.__toklist[i]
+
+            # convert int to slice
+            if isinstance(i, int):
+                if i < 0:
+                    i += mylen
+                i = slice(i, i+1)
+            # get removed indices
+            removed = list(range(*i.indices(mylen)))
+            removed.reverse()
+            # fixup indices in token dictionary
+            for name,occurrences in self.__tokdict.items():
+                for j in removed:
+                    for k, (value, position) in enumerate(occurrences):
+                        occurrences[k] = _ParseResultsWithOffset(value, position - (position > j))
+        else:
+            del self.__tokdict[i]
+
+    def __contains__( self, k ):
+        return k in self.__tokdict
+
+    def __len__( self ): return len( self.__toklist )
+    def __bool__(self): return ( not not self.__toklist )
+    __nonzero__ = __bool__
+    def __iter__( self ): return iter( self.__toklist )
+    def __reversed__( self ): return iter( self.__toklist[::-1] )
+    def _iterkeys( self ):
+        if hasattr(self.__tokdict, "iterkeys"):
+            return self.__tokdict.iterkeys()
+        else:
+            return iter(self.__tokdict)
+
+    def _itervalues( self ):
+        return (self[k] for k in self._iterkeys())
+            
+    def _iteritems( self ):
+        return ((k, self[k]) for k in self._iterkeys())
+
+    if PY_3:
+        keys = _iterkeys       
+        """Returns an iterator of all named result keys (Python 3.x only)."""
+
+        values = _itervalues
+        """Returns an iterator of all named result values (Python 3.x only)."""
+
+        items = _iteritems
+        """Returns an iterator of all named result key-value tuples (Python 3.x only)."""
+
+    else:
+        iterkeys = _iterkeys
+        """Returns an iterator of all named result keys (Python 2.x only)."""
+
+        itervalues = _itervalues
+        """Returns an iterator of all named result values (Python 2.x only)."""
+
+        iteritems = _iteritems
+        """Returns an iterator of all named result key-value tuples (Python 2.x only)."""
+
+        def keys( self ):
+            """Returns all named result keys (as a list in Python 2.x, as an iterator in Python 3.x)."""
+            return list(self.iterkeys())
+
+        def values( self ):
+            """Returns all named result values (as a list in Python 2.x, as an iterator in Python 3.x)."""
+            return list(self.itervalues())
+                
+        def items( self ):
+            """Returns all named result key-values (as a list of tuples in Python 2.x, as an iterator in Python 3.x)."""
+            return list(self.iteritems())
+
+    def haskeys( self ):
+        """Since keys() returns an iterator, this method is helpful in bypassing
+           code that looks for the existence of any defined results names."""
+        return bool(self.__tokdict)
+        
+    def pop( self, *args, **kwargs):
+        """
+        Removes and returns item at specified index (default=C{last}).
+        Supports both C{list} and C{dict} semantics for C{pop()}. If passed no
+        argument or an integer argument, it will use C{list} semantics
+        and pop tokens from the list of parsed tokens. If passed a 
+        non-integer argument (most likely a string), it will use C{dict}
+        semantics and pop the corresponding value from any defined 
+        results names. A second default return value argument is 
+        supported, just as in C{dict.pop()}.
+
+        Example::
+            def remove_first(tokens):
+                tokens.pop(0)
+            print(OneOrMore(Word(nums)).parseString("0 123 321")) # -> ['0', '123', '321']
+            print(OneOrMore(Word(nums)).addParseAction(remove_first).parseString("0 123 321")) # -> ['123', '321']
+
+            label = Word(alphas)
+            patt = label("LABEL") + OneOrMore(Word(nums))
+            print(patt.parseString("AAB 123 321").dump())
+
+            # Use pop() in a parse action to remove named result (note that corresponding value is not
+            # removed from list form of results)
+            def remove_LABEL(tokens):
+                tokens.pop("LABEL")
+                return tokens
+            patt.addParseAction(remove_LABEL)
+            print(patt.parseString("AAB 123 321").dump())
+        prints::
+            ['AAB', '123', '321']
+            - LABEL: AAB
+
+            ['AAB', '123', '321']
+        """
+        if not args:
+            args = [-1]
+        for k,v in kwargs.items():
+            if k == 'default':
+                args = (args[0], v)
+            else:
+                raise TypeError("pop() got an unexpected keyword argument '%s'" % k)
+        if (isinstance(args[0], int) or 
+                        len(args) == 1 or 
+                        args[0] in self):
+            index = args[0]
+            ret = self[index]
+            del self[index]
+            return ret
+        else:
+            defaultvalue = args[1]
+            return defaultvalue
+
+    def get(self, key, defaultValue=None):
+        """
+        Returns named result matching the given key, or if there is no
+        such name, then returns the given C{defaultValue} or C{None} if no
+        C{defaultValue} is specified.
+
+        Similar to C{dict.get()}.
+        
+        Example::
+            integer = Word(nums)
+            date_str = integer("year") + '/' + integer("month") + '/' + integer("day")           
+
+            result = date_str.parseString("1999/12/31")
+            print(result.get("year")) # -> '1999'
+            print(result.get("hour", "not specified")) # -> 'not specified'
+            print(result.get("hour")) # -> None
+        """
+        if key in self:
+            return self[key]
+        else:
+            return defaultValue
+
+    def insert( self, index, insStr ):
+        """
+        Inserts new element at location index in the list of parsed tokens.
+        
+        Similar to C{list.insert()}.
+
+        Example::
+            print(OneOrMore(Word(nums)).parseString("0 123 321")) # -> ['0', '123', '321']
+
+            # use a parse action to insert the parse location in the front of the parsed results
+            def insert_locn(locn, tokens):
+                tokens.insert(0, locn)
+            print(OneOrMore(Word(nums)).addParseAction(insert_locn).parseString("0 123 321")) # -> [0, '0', '123', '321']
+        """
+        self.__toklist.insert(index, insStr)
+        # fixup indices in token dictionary
+        for name,occurrences in self.__tokdict.items():
+            for k, (value, position) in enumerate(occurrences):
+                occurrences[k] = _ParseResultsWithOffset(value, position + (position > index))
+
+    def append( self, item ):
+        """
+        Add single element to end of ParseResults list of elements.
+
+        Example::
+            print(OneOrMore(Word(nums)).parseString("0 123 321")) # -> ['0', '123', '321']
+            
+            # use a parse action to compute the sum of the parsed integers, and add it to the end
+            def append_sum(tokens):
+                tokens.append(sum(map(int, tokens)))
+            print(OneOrMore(Word(nums)).addParseAction(append_sum).parseString("0 123 321")) # -> ['0', '123', '321', 444]
+        """
+        self.__toklist.append(item)
+
+    def extend( self, itemseq ):
+        """
+        Add sequence of elements to end of ParseResults list of elements.
+
+        Example::
+            patt = OneOrMore(Word(alphas))
+            
+            # use a parse action to append the reverse of the matched strings, to make a palindrome
+            def make_palindrome(tokens):
+                tokens.extend(reversed([t[::-1] for t in tokens]))
+                return ''.join(tokens)
+            print(patt.addParseAction(make_palindrome).parseString("lskdj sdlkjf lksd")) # -> 'lskdjsdlkjflksddsklfjkldsjdksl'
+        """
+        if isinstance(itemseq, ParseResults):
+            self += itemseq
+        else:
+            self.__toklist.extend(itemseq)
+
+    def clear( self ):
+        """
+        Clear all elements and results names.
+        """
+        del self.__toklist[:]
+        self.__tokdict.clear()
+
+    def __getattr__( self, name ):
+        try:
+            return self[name]
+        except KeyError:
+            return ""
+            
+        if name in self.__tokdict:
+            if name not in self.__accumNames:
+                return self.__tokdict[name][-1][0]
+            else:
+                return ParseResults([ v[0] for v in self.__tokdict[name] ])
+        else:
+            return ""
+
+    def __add__( self, other ):
+        ret = self.copy()
+        ret += other
+        return ret
+
+    def __iadd__( self, other ):
+        if other.__tokdict:
+            offset = len(self.__toklist)
+            addoffset = lambda a: offset if a<0 else a+offset
+            otheritems = other.__tokdict.items()
+            otherdictitems = [(k, _ParseResultsWithOffset(v[0],addoffset(v[1])) )
+                                for (k,vlist) in otheritems for v in vlist]
+            for k,v in otherdictitems:
+                self[k] = v
+                if isinstance(v[0],ParseResults):
+                    v[0].__parent = wkref(self)
+            
+        self.__toklist += other.__toklist
+        self.__accumNames.update( other.__accumNames )
+        return self
+
+    def __radd__(self, other):
+        if isinstance(other,int) and other == 0:
+            # useful for merging many ParseResults using sum() builtin
+            return self.copy()
+        else:
+            # this may raise a TypeError - so be it
+            return other + self
+        
+    def __repr__( self ):
+        return "(%s, %s)" % ( repr( self.__toklist ), repr( self.__tokdict ) )
+
+    def __str__( self ):
+        return '[' + ', '.join(_ustr(i) if isinstance(i, ParseResults) else repr(i) for i in self.__toklist) + ']'
+
+    def _asStringList( self, sep='' ):
+        out = []
+        for item in self.__toklist:
+            if out and sep:
+                out.append(sep)
+            if isinstance( item, ParseResults ):
+                out += item._asStringList()
+            else:
+                out.append( _ustr(item) )
+        return out
+
+    def asList( self ):
+        """
+        Returns the parse results as a nested list of matching tokens, all converted to strings.
+
+        Example::
+            patt = OneOrMore(Word(alphas))
+            result = patt.parseString("sldkj lsdkj sldkj")
+            # even though the result prints in string-like form, it is actually a pyparsing ParseResults
+            print(type(result), result) # ->  ['sldkj', 'lsdkj', 'sldkj']
+            
+            # Use asList() to create an actual list
+            result_list = result.asList()
+            print(type(result_list), result_list) # ->  ['sldkj', 'lsdkj', 'sldkj']
+        """
+        return [res.asList() if isinstance(res,ParseResults) else res for res in self.__toklist]
+
+    def asDict( self ):
+        """
+        Returns the named parse results as a nested dictionary.
+
+        Example::
+            integer = Word(nums)
+            date_str = integer("year") + '/' + integer("month") + '/' + integer("day")
+            
+            result = date_str.parseString('12/31/1999')
+            print(type(result), repr(result)) # ->  (['12', '/', '31', '/', '1999'], {'day': [('1999', 4)], 'year': [('12', 0)], 'month': [('31', 2)]})
+            
+            result_dict = result.asDict()
+            print(type(result_dict), repr(result_dict)) # ->  {'day': '1999', 'year': '12', 'month': '31'}
+
+            # even though a ParseResults supports dict-like access, sometime you just need to have a dict
+            import json
+            print(json.dumps(result)) # -> Exception: TypeError: ... is not JSON serializable
+            print(json.dumps(result.asDict())) # -> {"month": "31", "day": "1999", "year": "12"}
+        """
+        if PY_3:
+            item_fn = self.items
+        else:
+            item_fn = self.iteritems
+            
+        def toItem(obj):
+            if isinstance(obj, ParseResults):
+                if obj.haskeys():
+                    return obj.asDict()
+                else:
+                    return [toItem(v) for v in obj]
+            else:
+                return obj
+                
+        return dict((k,toItem(v)) for k,v in item_fn())
+
+    def copy( self ):
+        """
+        Returns a new copy of a C{ParseResults} object.
+        """
+        ret = ParseResults( self.__toklist )
+        ret.__tokdict = self.__tokdict.copy()
+        ret.__parent = self.__parent
+        ret.__accumNames.update( self.__accumNames )
+        ret.__name = self.__name
+        return ret
+
+    def asXML( self, doctag=None, namedItemsOnly=False, indent="", formatted=True ):
+        """
+        (Deprecated) Returns the parse results as XML. Tags are created for tokens and lists that have defined results names.
+        """
+        nl = "\n"
+        out = []
+        namedItems = dict((v[1],k) for (k,vlist) in self.__tokdict.items()
+                                                            for v in vlist)
+        nextLevelIndent = indent + "  "
+
+        # collapse out indents if formatting is not desired
+        if not formatted:
+            indent = ""
+            nextLevelIndent = ""
+            nl = ""
+
+        selfTag = None
+        if doctag is not None:
+            selfTag = doctag
+        else:
+            if self.__name:
+                selfTag = self.__name
+
+        if not selfTag:
+            if namedItemsOnly:
+                return ""
+            else:
+                selfTag = "ITEM"
+
+        out += [ nl, indent, "<", selfTag, ">" ]
+
+        for i,res in enumerate(self.__toklist):
+            if isinstance(res,ParseResults):
+                if i in namedItems:
+                    out += [ res.asXML(namedItems[i],
+                                        namedItemsOnly and doctag is None,
+                                        nextLevelIndent,
+                                        formatted)]
+                else:
+                    out += [ res.asXML(None,
+                                        namedItemsOnly and doctag is None,
+                                        nextLevelIndent,
+                                        formatted)]
+            else:
+                # individual token, see if there is a name for it
+                resTag = None
+                if i in namedItems:
+                    resTag = namedItems[i]
+                if not resTag:
+                    if namedItemsOnly:
+                        continue
+                    else:
+                        resTag = "ITEM"
+                xmlBodyText = _xml_escape(_ustr(res))
+                out += [ nl, nextLevelIndent, "<", resTag, ">",
+                                                xmlBodyText,
+                                                "" ]
+
+        out += [ nl, indent, "" ]
+        return "".join(out)
+
+    def __lookup(self,sub):
+        for k,vlist in self.__tokdict.items():
+            for v,loc in vlist:
+                if sub is v:
+                    return k
+        return None
+
+    def getName(self):
+        r"""
+        Returns the results name for this token expression. Useful when several 
+        different expressions might match at a particular location.
+
+        Example::
+            integer = Word(nums)
+            ssn_expr = Regex(r"\d\d\d-\d\d-\d\d\d\d")
+            house_number_expr = Suppress('#') + Word(nums, alphanums)
+            user_data = (Group(house_number_expr)("house_number") 
+                        | Group(ssn_expr)("ssn")
+                        | Group(integer)("age"))
+            user_info = OneOrMore(user_data)
+            
+            result = user_info.parseString("22 111-22-3333 #221B")
+            for item in result:
+                print(item.getName(), ':', item[0])
+        prints::
+            age : 22
+            ssn : 111-22-3333
+            house_number : 221B
+        """
+        if self.__name:
+            return self.__name
+        elif self.__parent:
+            par = self.__parent()
+            if par:
+                return par.__lookup(self)
+            else:
+                return None
+        elif (len(self) == 1 and
+               len(self.__tokdict) == 1 and
+               next(iter(self.__tokdict.values()))[0][1] in (0,-1)):
+            return next(iter(self.__tokdict.keys()))
+        else:
+            return None
+
+    def dump(self, indent='', depth=0, full=True):
+        """
+        Diagnostic method for listing out the contents of a C{ParseResults}.
+        Accepts an optional C{indent} argument so that this string can be embedded
+        in a nested display of other data.
+
+        Example::
+            integer = Word(nums)
+            date_str = integer("year") + '/' + integer("month") + '/' + integer("day")
+            
+            result = date_str.parseString('12/31/1999')
+            print(result.dump())
+        prints::
+            ['12', '/', '31', '/', '1999']
+            - day: 1999
+            - month: 31
+            - year: 12
+        """
+        out = []
+        NL = '\n'
+        out.append( indent+_ustr(self.asList()) )
+        if full:
+            if self.haskeys():
+                items = sorted((str(k), v) for k,v in self.items())
+                for k,v in items:
+                    if out:
+                        out.append(NL)
+                    out.append( "%s%s- %s: " % (indent,('  '*depth), k) )
+                    if isinstance(v,ParseResults):
+                        if v:
+                            out.append( v.dump(indent,depth+1) )
+                        else:
+                            out.append(_ustr(v))
+                    else:
+                        out.append(repr(v))
+            elif any(isinstance(vv,ParseResults) for vv in self):
+                v = self
+                for i,vv in enumerate(v):
+                    if isinstance(vv,ParseResults):
+                        out.append("\n%s%s[%d]:\n%s%s%s" % (indent,('  '*(depth)),i,indent,('  '*(depth+1)),vv.dump(indent,depth+1) ))
+                    else:
+                        out.append("\n%s%s[%d]:\n%s%s%s" % (indent,('  '*(depth)),i,indent,('  '*(depth+1)),_ustr(vv)))
+            
+        return "".join(out)
+
+    def pprint(self, *args, **kwargs):
+        """
+        Pretty-printer for parsed results as a list, using the C{pprint} module.
+        Accepts additional positional or keyword args as defined for the 
+        C{pprint.pprint} method. (U{http://docs.python.org/3/library/pprint.html#pprint.pprint})
+
+        Example::
+            ident = Word(alphas, alphanums)
+            num = Word(nums)
+            func = Forward()
+            term = ident | num | Group('(' + func + ')')
+            func <<= ident + Group(Optional(delimitedList(term)))
+            result = func.parseString("fna a,b,(fnb c,d,200),100")
+            result.pprint(width=40)
+        prints::
+            ['fna',
+             ['a',
+              'b',
+              ['(', 'fnb', ['c', 'd', '200'], ')'],
+              '100']]
+        """
+        pprint.pprint(self.asList(), *args, **kwargs)
+
+    # add support for pickle protocol
+    def __getstate__(self):
+        return ( self.__toklist,
+                 ( self.__tokdict.copy(),
+                   self.__parent is not None and self.__parent() or None,
+                   self.__accumNames,
+                   self.__name ) )
+
+    def __setstate__(self,state):
+        self.__toklist = state[0]
+        (self.__tokdict,
+         par,
+         inAccumNames,
+         self.__name) = state[1]
+        self.__accumNames = {}
+        self.__accumNames.update(inAccumNames)
+        if par is not None:
+            self.__parent = wkref(par)
+        else:
+            self.__parent = None
+
+    def __getnewargs__(self):
+        return self.__toklist, self.__name, self.__asList, self.__modal
+
+    def __dir__(self):
+        return (dir(type(self)) + list(self.keys()))
+
+MutableMapping.register(ParseResults)
+
+def col (loc,strg):
+    """Returns current column within a string, counting newlines as line separators.
+   The first column is number 1.
+
+   Note: the default parsing behavior is to expand tabs in the input string
+   before starting the parsing process.  See L{I{ParserElement.parseString}} for more information
+   on parsing strings containing C{}s, and suggested methods to maintain a
+   consistent view of the parsed string, the parse location, and line and column
+   positions within the parsed string.
+   """
+    s = strg
+    return 1 if 0} for more information
+   on parsing strings containing C{}s, and suggested methods to maintain a
+   consistent view of the parsed string, the parse location, and line and column
+   positions within the parsed string.
+   """
+    return strg.count("\n",0,loc) + 1
+
+def line( loc, strg ):
+    """Returns the line of text containing loc within a string, counting newlines as line separators.
+       """
+    lastCR = strg.rfind("\n", 0, loc)
+    nextCR = strg.find("\n", loc)
+    if nextCR >= 0:
+        return strg[lastCR+1:nextCR]
+    else:
+        return strg[lastCR+1:]
+
+def _defaultStartDebugAction( instring, loc, expr ):
+    print (("Match " + _ustr(expr) + " at loc " + _ustr(loc) + "(%d,%d)" % ( lineno(loc,instring), col(loc,instring) )))
+
+def _defaultSuccessDebugAction( instring, startloc, endloc, expr, toks ):
+    print ("Matched " + _ustr(expr) + " -> " + str(toks.asList()))
+
+def _defaultExceptionDebugAction( instring, loc, expr, exc ):
+    print ("Exception raised:" + _ustr(exc))
+
+def nullDebugAction(*args):
+    """'Do-nothing' debug action, to suppress debugging output during parsing."""
+    pass
+
+# Only works on Python 3.x - nonlocal is toxic to Python 2 installs
+#~ 'decorator to trim function calls to match the arity of the target'
+#~ def _trim_arity(func, maxargs=3):
+    #~ if func in singleArgBuiltins:
+        #~ return lambda s,l,t: func(t)
+    #~ limit = 0
+    #~ foundArity = False
+    #~ def wrapper(*args):
+        #~ nonlocal limit,foundArity
+        #~ while 1:
+            #~ try:
+                #~ ret = func(*args[limit:])
+                #~ foundArity = True
+                #~ return ret
+            #~ except TypeError:
+                #~ if limit == maxargs or foundArity:
+                    #~ raise
+                #~ limit += 1
+                #~ continue
+    #~ return wrapper
+
+# this version is Python 2.x-3.x cross-compatible
+'decorator to trim function calls to match the arity of the target'
+def _trim_arity(func, maxargs=2):
+    if func in singleArgBuiltins:
+        return lambda s,l,t: func(t)
+    limit = [0]
+    foundArity = [False]
+    
+    # traceback return data structure changed in Py3.5 - normalize back to plain tuples
+    if system_version[:2] >= (3,5):
+        def extract_stack(limit=0):
+            # special handling for Python 3.5.0 - extra deep call stack by 1
+            offset = -3 if system_version == (3,5,0) else -2
+            frame_summary = traceback.extract_stack(limit=-offset+limit-1)[offset]
+            return [frame_summary[:2]]
+        def extract_tb(tb, limit=0):
+            frames = traceback.extract_tb(tb, limit=limit)
+            frame_summary = frames[-1]
+            return [frame_summary[:2]]
+    else:
+        extract_stack = traceback.extract_stack
+        extract_tb = traceback.extract_tb
+    
+    # synthesize what would be returned by traceback.extract_stack at the call to 
+    # user's parse action 'func', so that we don't incur call penalty at parse time
+    
+    LINE_DIFF = 6
+    # IF ANY CODE CHANGES, EVEN JUST COMMENTS OR BLANK LINES, BETWEEN THE NEXT LINE AND 
+    # THE CALL TO FUNC INSIDE WRAPPER, LINE_DIFF MUST BE MODIFIED!!!!
+    this_line = extract_stack(limit=2)[-1]
+    pa_call_line_synth = (this_line[0], this_line[1]+LINE_DIFF)
+
+    def wrapper(*args):
+        while 1:
+            try:
+                ret = func(*args[limit[0]:])
+                foundArity[0] = True
+                return ret
+            except TypeError:
+                # re-raise TypeErrors if they did not come from our arity testing
+                if foundArity[0]:
+                    raise
+                else:
+                    try:
+                        tb = sys.exc_info()[-1]
+                        if not extract_tb(tb, limit=2)[-1][:2] == pa_call_line_synth:
+                            raise
+                    finally:
+                        del tb
+
+                if limit[0] <= maxargs:
+                    limit[0] += 1
+                    continue
+                raise
+
+    # copy func name to wrapper for sensible debug output
+    func_name = ""
+    try:
+        func_name = getattr(func, '__name__', 
+                            getattr(func, '__class__').__name__)
+    except Exception:
+        func_name = str(func)
+    wrapper.__name__ = func_name
+
+    return wrapper
+
+class ParserElement(object):
+    """Abstract base level parser element class."""
+    DEFAULT_WHITE_CHARS = " \n\t\r"
+    verbose_stacktrace = False
+
+    @staticmethod
+    def setDefaultWhitespaceChars( chars ):
+        r"""
+        Overrides the default whitespace chars
+
+        Example::
+            # default whitespace chars are space,  and newline
+            OneOrMore(Word(alphas)).parseString("abc def\nghi jkl")  # -> ['abc', 'def', 'ghi', 'jkl']
+            
+            # change to just treat newline as significant
+            ParserElement.setDefaultWhitespaceChars(" \t")
+            OneOrMore(Word(alphas)).parseString("abc def\nghi jkl")  # -> ['abc', 'def']
+        """
+        ParserElement.DEFAULT_WHITE_CHARS = chars
+
+    @staticmethod
+    def inlineLiteralsUsing(cls):
+        """
+        Set class to be used for inclusion of string literals into a parser.
+        
+        Example::
+            # default literal class used is Literal
+            integer = Word(nums)
+            date_str = integer("year") + '/' + integer("month") + '/' + integer("day")           
+
+            date_str.parseString("1999/12/31")  # -> ['1999', '/', '12', '/', '31']
+
+
+            # change to Suppress
+            ParserElement.inlineLiteralsUsing(Suppress)
+            date_str = integer("year") + '/' + integer("month") + '/' + integer("day")           
+
+            date_str.parseString("1999/12/31")  # -> ['1999', '12', '31']
+        """
+        ParserElement._literalStringClass = cls
+
+    def __init__( self, savelist=False ):
+        self.parseAction = list()
+        self.failAction = None
+        #~ self.name = ""  # don't define self.name, let subclasses try/except upcall
+        self.strRepr = None
+        self.resultsName = None
+        self.saveAsList = savelist
+        self.skipWhitespace = True
+        self.whiteChars = ParserElement.DEFAULT_WHITE_CHARS
+        self.copyDefaultWhiteChars = True
+        self.mayReturnEmpty = False # used when checking for left-recursion
+        self.keepTabs = False
+        self.ignoreExprs = list()
+        self.debug = False
+        self.streamlined = False
+        self.mayIndexError = True # used to optimize exception handling for subclasses that don't advance parse index
+        self.errmsg = ""
+        self.modalResults = True # used to mark results names as modal (report only last) or cumulative (list all)
+        self.debugActions = ( None, None, None ) #custom debug actions
+        self.re = None
+        self.callPreparse = True # used to avoid redundant calls to preParse
+        self.callDuringTry = False
+
+    def copy( self ):
+        """
+        Make a copy of this C{ParserElement}.  Useful for defining different parse actions
+        for the same parsing pattern, using copies of the original parse element.
+        
+        Example::
+            integer = Word(nums).setParseAction(lambda toks: int(toks[0]))
+            integerK = integer.copy().addParseAction(lambda toks: toks[0]*1024) + Suppress("K")
+            integerM = integer.copy().addParseAction(lambda toks: toks[0]*1024*1024) + Suppress("M")
+            
+            print(OneOrMore(integerK | integerM | integer).parseString("5K 100 640K 256M"))
+        prints::
+            [5120, 100, 655360, 268435456]
+        Equivalent form of C{expr.copy()} is just C{expr()}::
+            integerM = integer().addParseAction(lambda toks: toks[0]*1024*1024) + Suppress("M")
+        """
+        cpy = copy.copy( self )
+        cpy.parseAction = self.parseAction[:]
+        cpy.ignoreExprs = self.ignoreExprs[:]
+        if self.copyDefaultWhiteChars:
+            cpy.whiteChars = ParserElement.DEFAULT_WHITE_CHARS
+        return cpy
+
+    def setName( self, name ):
+        """
+        Define name for this expression, makes debugging and exception messages clearer.
+        
+        Example::
+            Word(nums).parseString("ABC")  # -> Exception: Expected W:(0123...) (at char 0), (line:1, col:1)
+            Word(nums).setName("integer").parseString("ABC")  # -> Exception: Expected integer (at char 0), (line:1, col:1)
+        """
+        self.name = name
+        self.errmsg = "Expected " + self.name
+        if hasattr(self,"exception"):
+            self.exception.msg = self.errmsg
+        return self
+
+    def setResultsName( self, name, listAllMatches=False ):
+        """
+        Define name for referencing matching tokens as a nested attribute
+        of the returned parse results.
+        NOTE: this returns a *copy* of the original C{ParserElement} object;
+        this is so that the client can define a basic element, such as an
+        integer, and reference it in multiple places with different names.
+
+        You can also set results names using the abbreviated syntax,
+        C{expr("name")} in place of C{expr.setResultsName("name")} - 
+        see L{I{__call__}<__call__>}.
+
+        Example::
+            date_str = (integer.setResultsName("year") + '/' 
+                        + integer.setResultsName("month") + '/' 
+                        + integer.setResultsName("day"))
+
+            # equivalent form:
+            date_str = integer("year") + '/' + integer("month") + '/' + integer("day")
+        """
+        newself = self.copy()
+        if name.endswith("*"):
+            name = name[:-1]
+            listAllMatches=True
+        newself.resultsName = name
+        newself.modalResults = not listAllMatches
+        return newself
+
+    def setBreak(self,breakFlag = True):
+        """Method to invoke the Python pdb debugger when this element is
+           about to be parsed. Set C{breakFlag} to True to enable, False to
+           disable.
+        """
+        if breakFlag:
+            _parseMethod = self._parse
+            def breaker(instring, loc, doActions=True, callPreParse=True):
+                import pdb
+                pdb.set_trace()
+                return _parseMethod( instring, loc, doActions, callPreParse )
+            breaker._originalParseMethod = _parseMethod
+            self._parse = breaker
+        else:
+            if hasattr(self._parse,"_originalParseMethod"):
+                self._parse = self._parse._originalParseMethod
+        return self
+
+    def setParseAction( self, *fns, **kwargs ):
+        """
+        Define one or more actions to perform when successfully matching parse element definition.
+        Parse action fn is a callable method with 0-3 arguments, called as C{fn(s,loc,toks)},
+        C{fn(loc,toks)}, C{fn(toks)}, or just C{fn()}, where:
+         - s   = the original string being parsed (see note below)
+         - loc = the location of the matching substring
+         - toks = a list of the matched tokens, packaged as a C{L{ParseResults}} object
+        If the functions in fns modify the tokens, they can return them as the return
+        value from fn, and the modified list of tokens will replace the original.
+        Otherwise, fn does not need to return any value.
+
+        Optional keyword arguments:
+         - callDuringTry = (default=C{False}) indicate if parse action should be run during lookaheads and alternate testing
+
+        Note: the default parsing behavior is to expand tabs in the input string
+        before starting the parsing process.  See L{I{parseString}} for more information
+        on parsing strings containing C{}s, and suggested methods to maintain a
+        consistent view of the parsed string, the parse location, and line and column
+        positions within the parsed string.
+        
+        Example::
+            integer = Word(nums)
+            date_str = integer + '/' + integer + '/' + integer
+
+            date_str.parseString("1999/12/31")  # -> ['1999', '/', '12', '/', '31']
+
+            # use parse action to convert to ints at parse time
+            integer = Word(nums).setParseAction(lambda toks: int(toks[0]))
+            date_str = integer + '/' + integer + '/' + integer
+
+            # note that integer fields are now ints, not strings
+            date_str.parseString("1999/12/31")  # -> [1999, '/', 12, '/', 31]
+        """
+        self.parseAction = list(map(_trim_arity, list(fns)))
+        self.callDuringTry = kwargs.get("callDuringTry", False)
+        return self
+
+    def addParseAction( self, *fns, **kwargs ):
+        """
+        Add one or more parse actions to expression's list of parse actions. See L{I{setParseAction}}.
+        
+        See examples in L{I{copy}}.
+        """
+        self.parseAction += list(map(_trim_arity, list(fns)))
+        self.callDuringTry = self.callDuringTry or kwargs.get("callDuringTry", False)
+        return self
+
+    def addCondition(self, *fns, **kwargs):
+        """Add a boolean predicate function to expression's list of parse actions. See 
+        L{I{setParseAction}} for function call signatures. Unlike C{setParseAction}, 
+        functions passed to C{addCondition} need to return boolean success/fail of the condition.
+
+        Optional keyword arguments:
+         - message = define a custom message to be used in the raised exception
+         - fatal   = if True, will raise ParseFatalException to stop parsing immediately; otherwise will raise ParseException
+         
+        Example::
+            integer = Word(nums).setParseAction(lambda toks: int(toks[0]))
+            year_int = integer.copy()
+            year_int.addCondition(lambda toks: toks[0] >= 2000, message="Only support years 2000 and later")
+            date_str = year_int + '/' + integer + '/' + integer
+
+            result = date_str.parseString("1999/12/31")  # -> Exception: Only support years 2000 and later (at char 0), (line:1, col:1)
+        """
+        msg = kwargs.get("message", "failed user-defined condition")
+        exc_type = ParseFatalException if kwargs.get("fatal", False) else ParseException
+        for fn in fns:
+            def pa(s,l,t):
+                if not bool(_trim_arity(fn)(s,l,t)):
+                    raise exc_type(s,l,msg)
+            self.parseAction.append(pa)
+        self.callDuringTry = self.callDuringTry or kwargs.get("callDuringTry", False)
+        return self
+
+    def setFailAction( self, fn ):
+        """Define action to perform if parsing fails at this expression.
+           Fail acton fn is a callable function that takes the arguments
+           C{fn(s,loc,expr,err)} where:
+            - s = string being parsed
+            - loc = location where expression match was attempted and failed
+            - expr = the parse expression that failed
+            - err = the exception thrown
+           The function returns no value.  It may throw C{L{ParseFatalException}}
+           if it is desired to stop parsing immediately."""
+        self.failAction = fn
+        return self
+
+    def _skipIgnorables( self, instring, loc ):
+        exprsFound = True
+        while exprsFound:
+            exprsFound = False
+            for e in self.ignoreExprs:
+                try:
+                    while 1:
+                        loc,dummy = e._parse( instring, loc )
+                        exprsFound = True
+                except ParseException:
+                    pass
+        return loc
+
+    def preParse( self, instring, loc ):
+        if self.ignoreExprs:
+            loc = self._skipIgnorables( instring, loc )
+
+        if self.skipWhitespace:
+            wt = self.whiteChars
+            instrlen = len(instring)
+            while loc < instrlen and instring[loc] in wt:
+                loc += 1
+
+        return loc
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        return loc, []
+
+    def postParse( self, instring, loc, tokenlist ):
+        return tokenlist
+
+    #~ @profile
+    def _parseNoCache( self, instring, loc, doActions=True, callPreParse=True ):
+        debugging = ( self.debug ) #and doActions )
+
+        if debugging or self.failAction:
+            #~ print ("Match",self,"at loc",loc,"(%d,%d)" % ( lineno(loc,instring), col(loc,instring) ))
+            if (self.debugActions[0] ):
+                self.debugActions[0]( instring, loc, self )
+            if callPreParse and self.callPreparse:
+                preloc = self.preParse( instring, loc )
+            else:
+                preloc = loc
+            tokensStart = preloc
+            try:
+                try:
+                    loc,tokens = self.parseImpl( instring, preloc, doActions )
+                except IndexError:
+                    raise ParseException( instring, len(instring), self.errmsg, self )
+            except ParseBaseException as err:
+                #~ print ("Exception raised:", err)
+                if self.debugActions[2]:
+                    self.debugActions[2]( instring, tokensStart, self, err )
+                if self.failAction:
+                    self.failAction( instring, tokensStart, self, err )
+                raise
+        else:
+            if callPreParse and self.callPreparse:
+                preloc = self.preParse( instring, loc )
+            else:
+                preloc = loc
+            tokensStart = preloc
+            if self.mayIndexError or preloc >= len(instring):
+                try:
+                    loc,tokens = self.parseImpl( instring, preloc, doActions )
+                except IndexError:
+                    raise ParseException( instring, len(instring), self.errmsg, self )
+            else:
+                loc,tokens = self.parseImpl( instring, preloc, doActions )
+
+        tokens = self.postParse( instring, loc, tokens )
+
+        retTokens = ParseResults( tokens, self.resultsName, asList=self.saveAsList, modal=self.modalResults )
+        if self.parseAction and (doActions or self.callDuringTry):
+            if debugging:
+                try:
+                    for fn in self.parseAction:
+                        tokens = fn( instring, tokensStart, retTokens )
+                        if tokens is not None:
+                            retTokens = ParseResults( tokens,
+                                                      self.resultsName,
+                                                      asList=self.saveAsList and isinstance(tokens,(ParseResults,list)),
+                                                      modal=self.modalResults )
+                except ParseBaseException as err:
+                    #~ print "Exception raised in user parse action:", err
+                    if (self.debugActions[2] ):
+                        self.debugActions[2]( instring, tokensStart, self, err )
+                    raise
+            else:
+                for fn in self.parseAction:
+                    tokens = fn( instring, tokensStart, retTokens )
+                    if tokens is not None:
+                        retTokens = ParseResults( tokens,
+                                                  self.resultsName,
+                                                  asList=self.saveAsList and isinstance(tokens,(ParseResults,list)),
+                                                  modal=self.modalResults )
+        if debugging:
+            #~ print ("Matched",self,"->",retTokens.asList())
+            if (self.debugActions[1] ):
+                self.debugActions[1]( instring, tokensStart, loc, self, retTokens )
+
+        return loc, retTokens
+
+    def tryParse( self, instring, loc ):
+        try:
+            return self._parse( instring, loc, doActions=False )[0]
+        except ParseFatalException:
+            raise ParseException( instring, loc, self.errmsg, self)
+    
+    def canParseNext(self, instring, loc):
+        try:
+            self.tryParse(instring, loc)
+        except (ParseException, IndexError):
+            return False
+        else:
+            return True
+
+    class _UnboundedCache(object):
+        def __init__(self):
+            cache = {}
+            self.not_in_cache = not_in_cache = object()
+
+            def get(self, key):
+                return cache.get(key, not_in_cache)
+
+            def set(self, key, value):
+                cache[key] = value
+
+            def clear(self):
+                cache.clear()
+                
+            def cache_len(self):
+                return len(cache)
+
+            self.get = types.MethodType(get, self)
+            self.set = types.MethodType(set, self)
+            self.clear = types.MethodType(clear, self)
+            self.__len__ = types.MethodType(cache_len, self)
+
+    if _OrderedDict is not None:
+        class _FifoCache(object):
+            def __init__(self, size):
+                self.not_in_cache = not_in_cache = object()
+
+                cache = _OrderedDict()
+
+                def get(self, key):
+                    return cache.get(key, not_in_cache)
+
+                def set(self, key, value):
+                    cache[key] = value
+                    while len(cache) > size:
+                        try:
+                            cache.popitem(False)
+                        except KeyError:
+                            pass
+
+                def clear(self):
+                    cache.clear()
+
+                def cache_len(self):
+                    return len(cache)
+
+                self.get = types.MethodType(get, self)
+                self.set = types.MethodType(set, self)
+                self.clear = types.MethodType(clear, self)
+                self.__len__ = types.MethodType(cache_len, self)
+
+    else:
+        class _FifoCache(object):
+            def __init__(self, size):
+                self.not_in_cache = not_in_cache = object()
+
+                cache = {}
+                key_fifo = collections.deque([], size)
+
+                def get(self, key):
+                    return cache.get(key, not_in_cache)
+
+                def set(self, key, value):
+                    cache[key] = value
+                    while len(key_fifo) > size:
+                        cache.pop(key_fifo.popleft(), None)
+                    key_fifo.append(key)
+
+                def clear(self):
+                    cache.clear()
+                    key_fifo.clear()
+
+                def cache_len(self):
+                    return len(cache)
+
+                self.get = types.MethodType(get, self)
+                self.set = types.MethodType(set, self)
+                self.clear = types.MethodType(clear, self)
+                self.__len__ = types.MethodType(cache_len, self)
+
+    # argument cache for optimizing repeated calls when backtracking through recursive expressions
+    packrat_cache = {} # this is set later by enabledPackrat(); this is here so that resetCache() doesn't fail
+    packrat_cache_lock = RLock()
+    packrat_cache_stats = [0, 0]
+
+    # this method gets repeatedly called during backtracking with the same arguments -
+    # we can cache these arguments and save ourselves the trouble of re-parsing the contained expression
+    def _parseCache( self, instring, loc, doActions=True, callPreParse=True ):
+        HIT, MISS = 0, 1
+        lookup = (self, instring, loc, callPreParse, doActions)
+        with ParserElement.packrat_cache_lock:
+            cache = ParserElement.packrat_cache
+            value = cache.get(lookup)
+            if value is cache.not_in_cache:
+                ParserElement.packrat_cache_stats[MISS] += 1
+                try:
+                    value = self._parseNoCache(instring, loc, doActions, callPreParse)
+                except ParseBaseException as pe:
+                    # cache a copy of the exception, without the traceback
+                    cache.set(lookup, pe.__class__(*pe.args))
+                    raise
+                else:
+                    cache.set(lookup, (value[0], value[1].copy()))
+                    return value
+            else:
+                ParserElement.packrat_cache_stats[HIT] += 1
+                if isinstance(value, Exception):
+                    raise value
+                return (value[0], value[1].copy())
+
+    _parse = _parseNoCache
+
+    @staticmethod
+    def resetCache():
+        ParserElement.packrat_cache.clear()
+        ParserElement.packrat_cache_stats[:] = [0] * len(ParserElement.packrat_cache_stats)
+
+    _packratEnabled = False
+    @staticmethod
+    def enablePackrat(cache_size_limit=128):
+        """Enables "packrat" parsing, which adds memoizing to the parsing logic.
+           Repeated parse attempts at the same string location (which happens
+           often in many complex grammars) can immediately return a cached value,
+           instead of re-executing parsing/validating code.  Memoizing is done of
+           both valid results and parsing exceptions.
+           
+           Parameters:
+            - cache_size_limit - (default=C{128}) - if an integer value is provided
+              will limit the size of the packrat cache; if None is passed, then
+              the cache size will be unbounded; if 0 is passed, the cache will
+              be effectively disabled.
+            
+           This speedup may break existing programs that use parse actions that
+           have side-effects.  For this reason, packrat parsing is disabled when
+           you first import pyparsing.  To activate the packrat feature, your
+           program must call the class method C{ParserElement.enablePackrat()}.  If
+           your program uses C{psyco} to "compile as you go", you must call
+           C{enablePackrat} before calling C{psyco.full()}.  If you do not do this,
+           Python will crash.  For best results, call C{enablePackrat()} immediately
+           after importing pyparsing.
+           
+           Example::
+               import pyparsing
+               pyparsing.ParserElement.enablePackrat()
+        """
+        if not ParserElement._packratEnabled:
+            ParserElement._packratEnabled = True
+            if cache_size_limit is None:
+                ParserElement.packrat_cache = ParserElement._UnboundedCache()
+            else:
+                ParserElement.packrat_cache = ParserElement._FifoCache(cache_size_limit)
+            ParserElement._parse = ParserElement._parseCache
+
+    def parseString( self, instring, parseAll=False ):
+        """
+        Execute the parse expression with the given string.
+        This is the main interface to the client code, once the complete
+        expression has been built.
+
+        If you want the grammar to require that the entire input string be
+        successfully parsed, then set C{parseAll} to True (equivalent to ending
+        the grammar with C{L{StringEnd()}}).
+
+        Note: C{parseString} implicitly calls C{expandtabs()} on the input string,
+        in order to report proper column numbers in parse actions.
+        If the input string contains tabs and
+        the grammar uses parse actions that use the C{loc} argument to index into the
+        string being parsed, you can ensure you have a consistent view of the input
+        string by:
+         - calling C{parseWithTabs} on your grammar before calling C{parseString}
+           (see L{I{parseWithTabs}})
+         - define your parse action using the full C{(s,loc,toks)} signature, and
+           reference the input string using the parse action's C{s} argument
+         - explictly expand the tabs in your input string before calling
+           C{parseString}
+        
+        Example::
+            Word('a').parseString('aaaaabaaa')  # -> ['aaaaa']
+            Word('a').parseString('aaaaabaaa', parseAll=True)  # -> Exception: Expected end of text
+        """
+        ParserElement.resetCache()
+        if not self.streamlined:
+            self.streamline()
+            #~ self.saveAsList = True
+        for e in self.ignoreExprs:
+            e.streamline()
+        if not self.keepTabs:
+            instring = instring.expandtabs()
+        try:
+            loc, tokens = self._parse( instring, 0 )
+            if parseAll:
+                loc = self.preParse( instring, loc )
+                se = Empty() + StringEnd()
+                se._parse( instring, loc )
+        except ParseBaseException as exc:
+            if ParserElement.verbose_stacktrace:
+                raise
+            else:
+                # catch and re-raise exception from here, clears out pyparsing internal stack trace
+                raise exc
+        else:
+            return tokens
+
+    def scanString( self, instring, maxMatches=_MAX_INT, overlap=False ):
+        """
+        Scan the input string for expression matches.  Each match will return the
+        matching tokens, start location, and end location.  May be called with optional
+        C{maxMatches} argument, to clip scanning after 'n' matches are found.  If
+        C{overlap} is specified, then overlapping matches will be reported.
+
+        Note that the start and end locations are reported relative to the string
+        being parsed.  See L{I{parseString}} for more information on parsing
+        strings with embedded tabs.
+
+        Example::
+            source = "sldjf123lsdjjkf345sldkjf879lkjsfd987"
+            print(source)
+            for tokens,start,end in Word(alphas).scanString(source):
+                print(' '*start + '^'*(end-start))
+                print(' '*start + tokens[0])
+        
+        prints::
+        
+            sldjf123lsdjjkf345sldkjf879lkjsfd987
+            ^^^^^
+            sldjf
+                    ^^^^^^^
+                    lsdjjkf
+                              ^^^^^^
+                              sldkjf
+                                       ^^^^^^
+                                       lkjsfd
+        """
+        if not self.streamlined:
+            self.streamline()
+        for e in self.ignoreExprs:
+            e.streamline()
+
+        if not self.keepTabs:
+            instring = _ustr(instring).expandtabs()
+        instrlen = len(instring)
+        loc = 0
+        preparseFn = self.preParse
+        parseFn = self._parse
+        ParserElement.resetCache()
+        matches = 0
+        try:
+            while loc <= instrlen and matches < maxMatches:
+                try:
+                    preloc = preparseFn( instring, loc )
+                    nextLoc,tokens = parseFn( instring, preloc, callPreParse=False )
+                except ParseException:
+                    loc = preloc+1
+                else:
+                    if nextLoc > loc:
+                        matches += 1
+                        yield tokens, preloc, nextLoc
+                        if overlap:
+                            nextloc = preparseFn( instring, loc )
+                            if nextloc > loc:
+                                loc = nextLoc
+                            else:
+                                loc += 1
+                        else:
+                            loc = nextLoc
+                    else:
+                        loc = preloc+1
+        except ParseBaseException as exc:
+            if ParserElement.verbose_stacktrace:
+                raise
+            else:
+                # catch and re-raise exception from here, clears out pyparsing internal stack trace
+                raise exc
+
+    def transformString( self, instring ):
+        """
+        Extension to C{L{scanString}}, to modify matching text with modified tokens that may
+        be returned from a parse action.  To use C{transformString}, define a grammar and
+        attach a parse action to it that modifies the returned token list.
+        Invoking C{transformString()} on a target string will then scan for matches,
+        and replace the matched text patterns according to the logic in the parse
+        action.  C{transformString()} returns the resulting transformed string.
+        
+        Example::
+            wd = Word(alphas)
+            wd.setParseAction(lambda toks: toks[0].title())
+            
+            print(wd.transformString("now is the winter of our discontent made glorious summer by this sun of york."))
+        Prints::
+            Now Is The Winter Of Our Discontent Made Glorious Summer By This Sun Of York.
+        """
+        out = []
+        lastE = 0
+        # force preservation of s, to minimize unwanted transformation of string, and to
+        # keep string locs straight between transformString and scanString
+        self.keepTabs = True
+        try:
+            for t,s,e in self.scanString( instring ):
+                out.append( instring[lastE:s] )
+                if t:
+                    if isinstance(t,ParseResults):
+                        out += t.asList()
+                    elif isinstance(t,list):
+                        out += t
+                    else:
+                        out.append(t)
+                lastE = e
+            out.append(instring[lastE:])
+            out = [o for o in out if o]
+            return "".join(map(_ustr,_flatten(out)))
+        except ParseBaseException as exc:
+            if ParserElement.verbose_stacktrace:
+                raise
+            else:
+                # catch and re-raise exception from here, clears out pyparsing internal stack trace
+                raise exc
+
+    def searchString( self, instring, maxMatches=_MAX_INT ):
+        """
+        Another extension to C{L{scanString}}, simplifying the access to the tokens found
+        to match the given parse expression.  May be called with optional
+        C{maxMatches} argument, to clip searching after 'n' matches are found.
+        
+        Example::
+            # a capitalized word starts with an uppercase letter, followed by zero or more lowercase letters
+            cap_word = Word(alphas.upper(), alphas.lower())
+            
+            print(cap_word.searchString("More than Iron, more than Lead, more than Gold I need Electricity"))
+
+            # the sum() builtin can be used to merge results into a single ParseResults object
+            print(sum(cap_word.searchString("More than Iron, more than Lead, more than Gold I need Electricity")))
+        prints::
+            [['More'], ['Iron'], ['Lead'], ['Gold'], ['I'], ['Electricity']]
+            ['More', 'Iron', 'Lead', 'Gold', 'I', 'Electricity']
+        """
+        try:
+            return ParseResults([ t for t,s,e in self.scanString( instring, maxMatches ) ])
+        except ParseBaseException as exc:
+            if ParserElement.verbose_stacktrace:
+                raise
+            else:
+                # catch and re-raise exception from here, clears out pyparsing internal stack trace
+                raise exc
+
+    def split(self, instring, maxsplit=_MAX_INT, includeSeparators=False):
+        """
+        Generator method to split a string using the given expression as a separator.
+        May be called with optional C{maxsplit} argument, to limit the number of splits;
+        and the optional C{includeSeparators} argument (default=C{False}), if the separating
+        matching text should be included in the split results.
+        
+        Example::        
+            punc = oneOf(list(".,;:/-!?"))
+            print(list(punc.split("This, this?, this sentence, is badly punctuated!")))
+        prints::
+            ['This', ' this', '', ' this sentence', ' is badly punctuated', '']
+        """
+        splits = 0
+        last = 0
+        for t,s,e in self.scanString(instring, maxMatches=maxsplit):
+            yield instring[last:s]
+            if includeSeparators:
+                yield t[0]
+            last = e
+        yield instring[last:]
+
+    def __add__(self, other ):
+        """
+        Implementation of + operator - returns C{L{And}}. Adding strings to a ParserElement
+        converts them to L{Literal}s by default.
+        
+        Example::
+            greet = Word(alphas) + "," + Word(alphas) + "!"
+            hello = "Hello, World!"
+            print (hello, "->", greet.parseString(hello))
+        Prints::
+            Hello, World! -> ['Hello', ',', 'World', '!']
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return And( [ self, other ] )
+
+    def __radd__(self, other ):
+        """
+        Implementation of + operator when left operand is not a C{L{ParserElement}}
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return other + self
+
+    def __sub__(self, other):
+        """
+        Implementation of - operator, returns C{L{And}} with error stop
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return self + And._ErrorStop() + other
+
+    def __rsub__(self, other ):
+        """
+        Implementation of - operator when left operand is not a C{L{ParserElement}}
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return other - self
+
+    def __mul__(self,other):
+        """
+        Implementation of * operator, allows use of C{expr * 3} in place of
+        C{expr + expr + expr}.  Expressions may also me multiplied by a 2-integer
+        tuple, similar to C{{min,max}} multipliers in regular expressions.  Tuples
+        may also include C{None} as in:
+         - C{expr*(n,None)} or C{expr*(n,)} is equivalent
+              to C{expr*n + L{ZeroOrMore}(expr)}
+              (read as "at least n instances of C{expr}")
+         - C{expr*(None,n)} is equivalent to C{expr*(0,n)}
+              (read as "0 to n instances of C{expr}")
+         - C{expr*(None,None)} is equivalent to C{L{ZeroOrMore}(expr)}
+         - C{expr*(1,None)} is equivalent to C{L{OneOrMore}(expr)}
+
+        Note that C{expr*(None,n)} does not raise an exception if
+        more than n exprs exist in the input stream; that is,
+        C{expr*(None,n)} does not enforce a maximum number of expr
+        occurrences.  If this behavior is desired, then write
+        C{expr*(None,n) + ~expr}
+        """
+        if isinstance(other,int):
+            minElements, optElements = other,0
+        elif isinstance(other,tuple):
+            other = (other + (None, None))[:2]
+            if other[0] is None:
+                other = (0, other[1])
+            if isinstance(other[0],int) and other[1] is None:
+                if other[0] == 0:
+                    return ZeroOrMore(self)
+                if other[0] == 1:
+                    return OneOrMore(self)
+                else:
+                    return self*other[0] + ZeroOrMore(self)
+            elif isinstance(other[0],int) and isinstance(other[1],int):
+                minElements, optElements = other
+                optElements -= minElements
+            else:
+                raise TypeError("cannot multiply 'ParserElement' and ('%s','%s') objects", type(other[0]),type(other[1]))
+        else:
+            raise TypeError("cannot multiply 'ParserElement' and '%s' objects", type(other))
+
+        if minElements < 0:
+            raise ValueError("cannot multiply ParserElement by negative value")
+        if optElements < 0:
+            raise ValueError("second tuple value must be greater or equal to first tuple value")
+        if minElements == optElements == 0:
+            raise ValueError("cannot multiply ParserElement by 0 or (0,0)")
+
+        if (optElements):
+            def makeOptionalList(n):
+                if n>1:
+                    return Optional(self + makeOptionalList(n-1))
+                else:
+                    return Optional(self)
+            if minElements:
+                if minElements == 1:
+                    ret = self + makeOptionalList(optElements)
+                else:
+                    ret = And([self]*minElements) + makeOptionalList(optElements)
+            else:
+                ret = makeOptionalList(optElements)
+        else:
+            if minElements == 1:
+                ret = self
+            else:
+                ret = And([self]*minElements)
+        return ret
+
+    def __rmul__(self, other):
+        return self.__mul__(other)
+
+    def __or__(self, other ):
+        """
+        Implementation of | operator - returns C{L{MatchFirst}}
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return MatchFirst( [ self, other ] )
+
+    def __ror__(self, other ):
+        """
+        Implementation of | operator when left operand is not a C{L{ParserElement}}
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return other | self
+
+    def __xor__(self, other ):
+        """
+        Implementation of ^ operator - returns C{L{Or}}
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return Or( [ self, other ] )
+
+    def __rxor__(self, other ):
+        """
+        Implementation of ^ operator when left operand is not a C{L{ParserElement}}
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return other ^ self
+
+    def __and__(self, other ):
+        """
+        Implementation of & operator - returns C{L{Each}}
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return Each( [ self, other ] )
+
+    def __rand__(self, other ):
+        """
+        Implementation of & operator when left operand is not a C{L{ParserElement}}
+        """
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        if not isinstance( other, ParserElement ):
+            warnings.warn("Cannot combine element of type %s with ParserElement" % type(other),
+                    SyntaxWarning, stacklevel=2)
+            return None
+        return other & self
+
+    def __invert__( self ):
+        """
+        Implementation of ~ operator - returns C{L{NotAny}}
+        """
+        return NotAny( self )
+
+    def __call__(self, name=None):
+        """
+        Shortcut for C{L{setResultsName}}, with C{listAllMatches=False}.
+        
+        If C{name} is given with a trailing C{'*'} character, then C{listAllMatches} will be
+        passed as C{True}.
+           
+        If C{name} is omitted, same as calling C{L{copy}}.
+
+        Example::
+            # these are equivalent
+            userdata = Word(alphas).setResultsName("name") + Word(nums+"-").setResultsName("socsecno")
+            userdata = Word(alphas)("name") + Word(nums+"-")("socsecno")             
+        """
+        if name is not None:
+            return self.setResultsName(name)
+        else:
+            return self.copy()
+
+    def suppress( self ):
+        """
+        Suppresses the output of this C{ParserElement}; useful to keep punctuation from
+        cluttering up returned output.
+        """
+        return Suppress( self )
+
+    def leaveWhitespace( self ):
+        """
+        Disables the skipping of whitespace before matching the characters in the
+        C{ParserElement}'s defined pattern.  This is normally only used internally by
+        the pyparsing module, but may be needed in some whitespace-sensitive grammars.
+        """
+        self.skipWhitespace = False
+        return self
+
+    def setWhitespaceChars( self, chars ):
+        """
+        Overrides the default whitespace chars
+        """
+        self.skipWhitespace = True
+        self.whiteChars = chars
+        self.copyDefaultWhiteChars = False
+        return self
+
+    def parseWithTabs( self ):
+        """
+        Overrides default behavior to expand C{}s to spaces before parsing the input string.
+        Must be called before C{parseString} when the input grammar contains elements that
+        match C{} characters.
+        """
+        self.keepTabs = True
+        return self
+
+    def ignore( self, other ):
+        """
+        Define expression to be ignored (e.g., comments) while doing pattern
+        matching; may be called repeatedly, to define multiple comment or other
+        ignorable patterns.
+        
+        Example::
+            patt = OneOrMore(Word(alphas))
+            patt.parseString('ablaj /* comment */ lskjd') # -> ['ablaj']
+            
+            patt.ignore(cStyleComment)
+            patt.parseString('ablaj /* comment */ lskjd') # -> ['ablaj', 'lskjd']
+        """
+        if isinstance(other, basestring):
+            other = Suppress(other)
+
+        if isinstance( other, Suppress ):
+            if other not in self.ignoreExprs:
+                self.ignoreExprs.append(other)
+        else:
+            self.ignoreExprs.append( Suppress( other.copy() ) )
+        return self
+
+    def setDebugActions( self, startAction, successAction, exceptionAction ):
+        """
+        Enable display of debugging messages while doing pattern matching.
+        """
+        self.debugActions = (startAction or _defaultStartDebugAction,
+                             successAction or _defaultSuccessDebugAction,
+                             exceptionAction or _defaultExceptionDebugAction)
+        self.debug = True
+        return self
+
+    def setDebug( self, flag=True ):
+        """
+        Enable display of debugging messages while doing pattern matching.
+        Set C{flag} to True to enable, False to disable.
+
+        Example::
+            wd = Word(alphas).setName("alphaword")
+            integer = Word(nums).setName("numword")
+            term = wd | integer
+            
+            # turn on debugging for wd
+            wd.setDebug()
+
+            OneOrMore(term).parseString("abc 123 xyz 890")
+        
+        prints::
+            Match alphaword at loc 0(1,1)
+            Matched alphaword -> ['abc']
+            Match alphaword at loc 3(1,4)
+            Exception raised:Expected alphaword (at char 4), (line:1, col:5)
+            Match alphaword at loc 7(1,8)
+            Matched alphaword -> ['xyz']
+            Match alphaword at loc 11(1,12)
+            Exception raised:Expected alphaword (at char 12), (line:1, col:13)
+            Match alphaword at loc 15(1,16)
+            Exception raised:Expected alphaword (at char 15), (line:1, col:16)
+
+        The output shown is that produced by the default debug actions - custom debug actions can be
+        specified using L{setDebugActions}. Prior to attempting
+        to match the C{wd} expression, the debugging message C{"Match  at loc (,)"}
+        is shown. Then if the parse succeeds, a C{"Matched"} message is shown, or an C{"Exception raised"}
+        message is shown. Also note the use of L{setName} to assign a human-readable name to the expression,
+        which makes debugging and exception messages easier to understand - for instance, the default
+        name created for the C{Word} expression without calling C{setName} is C{"W:(ABCD...)"}.
+        """
+        if flag:
+            self.setDebugActions( _defaultStartDebugAction, _defaultSuccessDebugAction, _defaultExceptionDebugAction )
+        else:
+            self.debug = False
+        return self
+
+    def __str__( self ):
+        return self.name
+
+    def __repr__( self ):
+        return _ustr(self)
+
+    def streamline( self ):
+        self.streamlined = True
+        self.strRepr = None
+        return self
+
+    def checkRecursion( self, parseElementList ):
+        pass
+
+    def validate( self, validateTrace=[] ):
+        """
+        Check defined expressions for valid structure, check for infinite recursive definitions.
+        """
+        self.checkRecursion( [] )
+
+    def parseFile( self, file_or_filename, parseAll=False ):
+        """
+        Execute the parse expression on the given file or filename.
+        If a filename is specified (instead of a file object),
+        the entire file is opened, read, and closed before parsing.
+        """
+        try:
+            file_contents = file_or_filename.read()
+        except AttributeError:
+            with open(file_or_filename, "r") as f:
+                file_contents = f.read()
+        try:
+            return self.parseString(file_contents, parseAll)
+        except ParseBaseException as exc:
+            if ParserElement.verbose_stacktrace:
+                raise
+            else:
+                # catch and re-raise exception from here, clears out pyparsing internal stack trace
+                raise exc
+
+    def __eq__(self,other):
+        if isinstance(other, ParserElement):
+            return self is other or vars(self) == vars(other)
+        elif isinstance(other, basestring):
+            return self.matches(other)
+        else:
+            return super(ParserElement,self)==other
+
+    def __ne__(self,other):
+        return not (self == other)
+
+    def __hash__(self):
+        return hash(id(self))
+
+    def __req__(self,other):
+        return self == other
+
+    def __rne__(self,other):
+        return not (self == other)
+
+    def matches(self, testString, parseAll=True):
+        """
+        Method for quick testing of a parser against a test string. Good for simple 
+        inline microtests of sub expressions while building up larger parser.
+           
+        Parameters:
+         - testString - to test against this expression for a match
+         - parseAll - (default=C{True}) - flag to pass to C{L{parseString}} when running tests
+            
+        Example::
+            expr = Word(nums)
+            assert expr.matches("100")
+        """
+        try:
+            self.parseString(_ustr(testString), parseAll=parseAll)
+            return True
+        except ParseBaseException:
+            return False
+                
+    def runTests(self, tests, parseAll=True, comment='#', fullDump=True, printResults=True, failureTests=False):
+        """
+        Execute the parse expression on a series of test strings, showing each
+        test, the parsed results or where the parse failed. Quick and easy way to
+        run a parse expression against a list of sample strings.
+           
+        Parameters:
+         - tests - a list of separate test strings, or a multiline string of test strings
+         - parseAll - (default=C{True}) - flag to pass to C{L{parseString}} when running tests           
+         - comment - (default=C{'#'}) - expression for indicating embedded comments in the test 
+              string; pass None to disable comment filtering
+         - fullDump - (default=C{True}) - dump results as list followed by results names in nested outline;
+              if False, only dump nested list
+         - printResults - (default=C{True}) prints test output to stdout
+         - failureTests - (default=C{False}) indicates if these tests are expected to fail parsing
+
+        Returns: a (success, results) tuple, where success indicates that all tests succeeded
+        (or failed if C{failureTests} is True), and the results contain a list of lines of each 
+        test's output
+        
+        Example::
+            number_expr = pyparsing_common.number.copy()
+
+            result = number_expr.runTests('''
+                # unsigned integer
+                100
+                # negative integer
+                -100
+                # float with scientific notation
+                6.02e23
+                # integer with scientific notation
+                1e-12
+                ''')
+            print("Success" if result[0] else "Failed!")
+
+            result = number_expr.runTests('''
+                # stray character
+                100Z
+                # missing leading digit before '.'
+                -.100
+                # too many '.'
+                3.14.159
+                ''', failureTests=True)
+            print("Success" if result[0] else "Failed!")
+        prints::
+            # unsigned integer
+            100
+            [100]
+
+            # negative integer
+            -100
+            [-100]
+
+            # float with scientific notation
+            6.02e23
+            [6.02e+23]
+
+            # integer with scientific notation
+            1e-12
+            [1e-12]
+
+            Success
+            
+            # stray character
+            100Z
+               ^
+            FAIL: Expected end of text (at char 3), (line:1, col:4)
+
+            # missing leading digit before '.'
+            -.100
+            ^
+            FAIL: Expected {real number with scientific notation | real number | signed integer} (at char 0), (line:1, col:1)
+
+            # too many '.'
+            3.14.159
+                ^
+            FAIL: Expected end of text (at char 4), (line:1, col:5)
+
+            Success
+
+        Each test string must be on a single line. If you want to test a string that spans multiple
+        lines, create a test like this::
+
+            expr.runTest(r"this is a test\\n of strings that spans \\n 3 lines")
+        
+        (Note that this is a raw string literal, you must include the leading 'r'.)
+        """
+        if isinstance(tests, basestring):
+            tests = list(map(str.strip, tests.rstrip().splitlines()))
+        if isinstance(comment, basestring):
+            comment = Literal(comment)
+        allResults = []
+        comments = []
+        success = True
+        for t in tests:
+            if comment is not None and comment.matches(t, False) or comments and not t:
+                comments.append(t)
+                continue
+            if not t:
+                continue
+            out = ['\n'.join(comments), t]
+            comments = []
+            try:
+                t = t.replace(r'\n','\n')
+                result = self.parseString(t, parseAll=parseAll)
+                out.append(result.dump(full=fullDump))
+                success = success and not failureTests
+            except ParseBaseException as pe:
+                fatal = "(FATAL)" if isinstance(pe, ParseFatalException) else ""
+                if '\n' in t:
+                    out.append(line(pe.loc, t))
+                    out.append(' '*(col(pe.loc,t)-1) + '^' + fatal)
+                else:
+                    out.append(' '*pe.loc + '^' + fatal)
+                out.append("FAIL: " + str(pe))
+                success = success and failureTests
+                result = pe
+            except Exception as exc:
+                out.append("FAIL-EXCEPTION: " + str(exc))
+                success = success and failureTests
+                result = exc
+
+            if printResults:
+                if fullDump:
+                    out.append('')
+                print('\n'.join(out))
+
+            allResults.append((t, result))
+        
+        return success, allResults
+
+        
+class Token(ParserElement):
+    """
+    Abstract C{ParserElement} subclass, for defining atomic matching patterns.
+    """
+    def __init__( self ):
+        super(Token,self).__init__( savelist=False )
+
+
+class Empty(Token):
+    """
+    An empty token, will always match.
+    """
+    def __init__( self ):
+        super(Empty,self).__init__()
+        self.name = "Empty"
+        self.mayReturnEmpty = True
+        self.mayIndexError = False
+
+
+class NoMatch(Token):
+    """
+    A token that will never match.
+    """
+    def __init__( self ):
+        super(NoMatch,self).__init__()
+        self.name = "NoMatch"
+        self.mayReturnEmpty = True
+        self.mayIndexError = False
+        self.errmsg = "Unmatchable token"
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        raise ParseException(instring, loc, self.errmsg, self)
+
+
+class Literal(Token):
+    """
+    Token to exactly match a specified string.
+    
+    Example::
+        Literal('blah').parseString('blah')  # -> ['blah']
+        Literal('blah').parseString('blahfooblah')  # -> ['blah']
+        Literal('blah').parseString('bla')  # -> Exception: Expected "blah"
+    
+    For case-insensitive matching, use L{CaselessLiteral}.
+    
+    For keyword matching (force word break before and after the matched string),
+    use L{Keyword} or L{CaselessKeyword}.
+    """
+    def __init__( self, matchString ):
+        super(Literal,self).__init__()
+        self.match = matchString
+        self.matchLen = len(matchString)
+        try:
+            self.firstMatchChar = matchString[0]
+        except IndexError:
+            warnings.warn("null string passed to Literal; use Empty() instead",
+                            SyntaxWarning, stacklevel=2)
+            self.__class__ = Empty
+        self.name = '"%s"' % _ustr(self.match)
+        self.errmsg = "Expected " + self.name
+        self.mayReturnEmpty = False
+        self.mayIndexError = False
+
+    # Performance tuning: this routine gets called a *lot*
+    # if this is a single character match string  and the first character matches,
+    # short-circuit as quickly as possible, and avoid calling startswith
+    #~ @profile
+    def parseImpl( self, instring, loc, doActions=True ):
+        if (instring[loc] == self.firstMatchChar and
+            (self.matchLen==1 or instring.startswith(self.match,loc)) ):
+            return loc+self.matchLen, self.match
+        raise ParseException(instring, loc, self.errmsg, self)
+_L = Literal
+ParserElement._literalStringClass = Literal
+
+class Keyword(Token):
+    """
+    Token to exactly match a specified string as a keyword, that is, it must be
+    immediately followed by a non-keyword character.  Compare with C{L{Literal}}:
+     - C{Literal("if")} will match the leading C{'if'} in C{'ifAndOnlyIf'}.
+     - C{Keyword("if")} will not; it will only match the leading C{'if'} in C{'if x=1'}, or C{'if(y==2)'}
+    Accepts two optional constructor arguments in addition to the keyword string:
+     - C{identChars} is a string of characters that would be valid identifier characters,
+          defaulting to all alphanumerics + "_" and "$"
+     - C{caseless} allows case-insensitive matching, default is C{False}.
+       
+    Example::
+        Keyword("start").parseString("start")  # -> ['start']
+        Keyword("start").parseString("starting")  # -> Exception
+
+    For case-insensitive matching, use L{CaselessKeyword}.
+    """
+    DEFAULT_KEYWORD_CHARS = alphanums+"_$"
+
+    def __init__( self, matchString, identChars=None, caseless=False ):
+        super(Keyword,self).__init__()
+        if identChars is None:
+            identChars = Keyword.DEFAULT_KEYWORD_CHARS
+        self.match = matchString
+        self.matchLen = len(matchString)
+        try:
+            self.firstMatchChar = matchString[0]
+        except IndexError:
+            warnings.warn("null string passed to Keyword; use Empty() instead",
+                            SyntaxWarning, stacklevel=2)
+        self.name = '"%s"' % self.match
+        self.errmsg = "Expected " + self.name
+        self.mayReturnEmpty = False
+        self.mayIndexError = False
+        self.caseless = caseless
+        if caseless:
+            self.caselessmatch = matchString.upper()
+            identChars = identChars.upper()
+        self.identChars = set(identChars)
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if self.caseless:
+            if ( (instring[ loc:loc+self.matchLen ].upper() == self.caselessmatch) and
+                 (loc >= len(instring)-self.matchLen or instring[loc+self.matchLen].upper() not in self.identChars) and
+                 (loc == 0 or instring[loc-1].upper() not in self.identChars) ):
+                return loc+self.matchLen, self.match
+        else:
+            if (instring[loc] == self.firstMatchChar and
+                (self.matchLen==1 or instring.startswith(self.match,loc)) and
+                (loc >= len(instring)-self.matchLen or instring[loc+self.matchLen] not in self.identChars) and
+                (loc == 0 or instring[loc-1] not in self.identChars) ):
+                return loc+self.matchLen, self.match
+        raise ParseException(instring, loc, self.errmsg, self)
+
+    def copy(self):
+        c = super(Keyword,self).copy()
+        c.identChars = Keyword.DEFAULT_KEYWORD_CHARS
+        return c
+
+    @staticmethod
+    def setDefaultKeywordChars( chars ):
+        """Overrides the default Keyword chars
+        """
+        Keyword.DEFAULT_KEYWORD_CHARS = chars
+
+class CaselessLiteral(Literal):
+    """
+    Token to match a specified string, ignoring case of letters.
+    Note: the matched results will always be in the case of the given
+    match string, NOT the case of the input text.
+
+    Example::
+        OneOrMore(CaselessLiteral("CMD")).parseString("cmd CMD Cmd10") # -> ['CMD', 'CMD', 'CMD']
+        
+    (Contrast with example for L{CaselessKeyword}.)
+    """
+    def __init__( self, matchString ):
+        super(CaselessLiteral,self).__init__( matchString.upper() )
+        # Preserve the defining literal.
+        self.returnString = matchString
+        self.name = "'%s'" % self.returnString
+        self.errmsg = "Expected " + self.name
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if instring[ loc:loc+self.matchLen ].upper() == self.match:
+            return loc+self.matchLen, self.returnString
+        raise ParseException(instring, loc, self.errmsg, self)
+
+class CaselessKeyword(Keyword):
+    """
+    Caseless version of L{Keyword}.
+
+    Example::
+        OneOrMore(CaselessKeyword("CMD")).parseString("cmd CMD Cmd10") # -> ['CMD', 'CMD']
+        
+    (Contrast with example for L{CaselessLiteral}.)
+    """
+    def __init__( self, matchString, identChars=None ):
+        super(CaselessKeyword,self).__init__( matchString, identChars, caseless=True )
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if ( (instring[ loc:loc+self.matchLen ].upper() == self.caselessmatch) and
+             (loc >= len(instring)-self.matchLen or instring[loc+self.matchLen].upper() not in self.identChars) ):
+            return loc+self.matchLen, self.match
+        raise ParseException(instring, loc, self.errmsg, self)
+
+class CloseMatch(Token):
+    """
+    A variation on L{Literal} which matches "close" matches, that is, 
+    strings with at most 'n' mismatching characters. C{CloseMatch} takes parameters:
+     - C{match_string} - string to be matched
+     - C{maxMismatches} - (C{default=1}) maximum number of mismatches allowed to count as a match
+    
+    The results from a successful parse will contain the matched text from the input string and the following named results:
+     - C{mismatches} - a list of the positions within the match_string where mismatches were found
+     - C{original} - the original match_string used to compare against the input string
+    
+    If C{mismatches} is an empty list, then the match was an exact match.
+    
+    Example::
+        patt = CloseMatch("ATCATCGAATGGA")
+        patt.parseString("ATCATCGAAXGGA") # -> (['ATCATCGAAXGGA'], {'mismatches': [[9]], 'original': ['ATCATCGAATGGA']})
+        patt.parseString("ATCAXCGAAXGGA") # -> Exception: Expected 'ATCATCGAATGGA' (with up to 1 mismatches) (at char 0), (line:1, col:1)
+
+        # exact match
+        patt.parseString("ATCATCGAATGGA") # -> (['ATCATCGAATGGA'], {'mismatches': [[]], 'original': ['ATCATCGAATGGA']})
+
+        # close match allowing up to 2 mismatches
+        patt = CloseMatch("ATCATCGAATGGA", maxMismatches=2)
+        patt.parseString("ATCAXCGAAXGGA") # -> (['ATCAXCGAAXGGA'], {'mismatches': [[4, 9]], 'original': ['ATCATCGAATGGA']})
+    """
+    def __init__(self, match_string, maxMismatches=1):
+        super(CloseMatch,self).__init__()
+        self.name = match_string
+        self.match_string = match_string
+        self.maxMismatches = maxMismatches
+        self.errmsg = "Expected %r (with up to %d mismatches)" % (self.match_string, self.maxMismatches)
+        self.mayIndexError = False
+        self.mayReturnEmpty = False
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        start = loc
+        instrlen = len(instring)
+        maxloc = start + len(self.match_string)
+
+        if maxloc <= instrlen:
+            match_string = self.match_string
+            match_stringloc = 0
+            mismatches = []
+            maxMismatches = self.maxMismatches
+
+            for match_stringloc,s_m in enumerate(zip(instring[loc:maxloc], self.match_string)):
+                src,mat = s_m
+                if src != mat:
+                    mismatches.append(match_stringloc)
+                    if len(mismatches) > maxMismatches:
+                        break
+            else:
+                loc = match_stringloc + 1
+                results = ParseResults([instring[start:loc]])
+                results['original'] = self.match_string
+                results['mismatches'] = mismatches
+                return loc, results
+
+        raise ParseException(instring, loc, self.errmsg, self)
+
+
+class Word(Token):
+    """
+    Token for matching words composed of allowed character sets.
+    Defined with string containing all allowed initial characters,
+    an optional string containing allowed body characters (if omitted,
+    defaults to the initial character set), and an optional minimum,
+    maximum, and/or exact length.  The default value for C{min} is 1 (a
+    minimum value < 1 is not valid); the default values for C{max} and C{exact}
+    are 0, meaning no maximum or exact length restriction. An optional
+    C{excludeChars} parameter can list characters that might be found in 
+    the input C{bodyChars} string; useful to define a word of all printables
+    except for one or two characters, for instance.
+    
+    L{srange} is useful for defining custom character set strings for defining 
+    C{Word} expressions, using range notation from regular expression character sets.
+    
+    A common mistake is to use C{Word} to match a specific literal string, as in 
+    C{Word("Address")}. Remember that C{Word} uses the string argument to define
+    I{sets} of matchable characters. This expression would match "Add", "AAA",
+    "dAred", or any other word made up of the characters 'A', 'd', 'r', 'e', and 's'.
+    To match an exact literal string, use L{Literal} or L{Keyword}.
+
+    pyparsing includes helper strings for building Words:
+     - L{alphas}
+     - L{nums}
+     - L{alphanums}
+     - L{hexnums}
+     - L{alphas8bit} (alphabetic characters in ASCII range 128-255 - accented, tilded, umlauted, etc.)
+     - L{punc8bit} (non-alphabetic characters in ASCII range 128-255 - currency, symbols, superscripts, diacriticals, etc.)
+     - L{printables} (any non-whitespace character)
+
+    Example::
+        # a word composed of digits
+        integer = Word(nums) # equivalent to Word("0123456789") or Word(srange("0-9"))
+        
+        # a word with a leading capital, and zero or more lowercase
+        capital_word = Word(alphas.upper(), alphas.lower())
+
+        # hostnames are alphanumeric, with leading alpha, and '-'
+        hostname = Word(alphas, alphanums+'-')
+        
+        # roman numeral (not a strict parser, accepts invalid mix of characters)
+        roman = Word("IVXLCDM")
+        
+        # any string of non-whitespace characters, except for ','
+        csv_value = Word(printables, excludeChars=",")
+    """
+    def __init__( self, initChars, bodyChars=None, min=1, max=0, exact=0, asKeyword=False, excludeChars=None ):
+        super(Word,self).__init__()
+        if excludeChars:
+            initChars = ''.join(c for c in initChars if c not in excludeChars)
+            if bodyChars:
+                bodyChars = ''.join(c for c in bodyChars if c not in excludeChars)
+        self.initCharsOrig = initChars
+        self.initChars = set(initChars)
+        if bodyChars :
+            self.bodyCharsOrig = bodyChars
+            self.bodyChars = set(bodyChars)
+        else:
+            self.bodyCharsOrig = initChars
+            self.bodyChars = set(initChars)
+
+        self.maxSpecified = max > 0
+
+        if min < 1:
+            raise ValueError("cannot specify a minimum length < 1; use Optional(Word()) if zero-length word is permitted")
+
+        self.minLen = min
+
+        if max > 0:
+            self.maxLen = max
+        else:
+            self.maxLen = _MAX_INT
+
+        if exact > 0:
+            self.maxLen = exact
+            self.minLen = exact
+
+        self.name = _ustr(self)
+        self.errmsg = "Expected " + self.name
+        self.mayIndexError = False
+        self.asKeyword = asKeyword
+
+        if ' ' not in self.initCharsOrig+self.bodyCharsOrig and (min==1 and max==0 and exact==0):
+            if self.bodyCharsOrig == self.initCharsOrig:
+                self.reString = "[%s]+" % _escapeRegexRangeChars(self.initCharsOrig)
+            elif len(self.initCharsOrig) == 1:
+                self.reString = "%s[%s]*" % \
+                                      (re.escape(self.initCharsOrig),
+                                      _escapeRegexRangeChars(self.bodyCharsOrig),)
+            else:
+                self.reString = "[%s][%s]*" % \
+                                      (_escapeRegexRangeChars(self.initCharsOrig),
+                                      _escapeRegexRangeChars(self.bodyCharsOrig),)
+            if self.asKeyword:
+                self.reString = r"\b"+self.reString+r"\b"
+            try:
+                self.re = re.compile( self.reString )
+            except Exception:
+                self.re = None
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if self.re:
+            result = self.re.match(instring,loc)
+            if not result:
+                raise ParseException(instring, loc, self.errmsg, self)
+
+            loc = result.end()
+            return loc, result.group()
+
+        if not(instring[ loc ] in self.initChars):
+            raise ParseException(instring, loc, self.errmsg, self)
+
+        start = loc
+        loc += 1
+        instrlen = len(instring)
+        bodychars = self.bodyChars
+        maxloc = start + self.maxLen
+        maxloc = min( maxloc, instrlen )
+        while loc < maxloc and instring[loc] in bodychars:
+            loc += 1
+
+        throwException = False
+        if loc - start < self.minLen:
+            throwException = True
+        if self.maxSpecified and loc < instrlen and instring[loc] in bodychars:
+            throwException = True
+        if self.asKeyword:
+            if (start>0 and instring[start-1] in bodychars) or (loc4:
+                    return s[:4]+"..."
+                else:
+                    return s
+
+            if ( self.initCharsOrig != self.bodyCharsOrig ):
+                self.strRepr = "W:(%s,%s)" % ( charsAsStr(self.initCharsOrig), charsAsStr(self.bodyCharsOrig) )
+            else:
+                self.strRepr = "W:(%s)" % charsAsStr(self.initCharsOrig)
+
+        return self.strRepr
+
+
+class Regex(Token):
+    r"""
+    Token for matching strings that match a given regular expression.
+    Defined with string specifying the regular expression in a form recognized by the inbuilt Python re module.
+    If the given regex contains named groups (defined using C{(?P...)}), these will be preserved as 
+    named parse results.
+
+    Example::
+        realnum = Regex(r"[+-]?\d+\.\d*")
+        date = Regex(r'(?P\d{4})-(?P\d\d?)-(?P\d\d?)')
+        # ref: http://stackoverflow.com/questions/267399/how-do-you-match-only-valid-roman-numerals-with-a-regular-expression
+        roman = Regex(r"M{0,4}(CM|CD|D?C{0,3})(XC|XL|L?X{0,3})(IX|IV|V?I{0,3})")
+    """
+    compiledREtype = type(re.compile("[A-Z]"))
+    def __init__( self, pattern, flags=0):
+        """The parameters C{pattern} and C{flags} are passed to the C{re.compile()} function as-is. See the Python C{re} module for an explanation of the acceptable patterns and flags."""
+        super(Regex,self).__init__()
+
+        if isinstance(pattern, basestring):
+            if not pattern:
+                warnings.warn("null string passed to Regex; use Empty() instead",
+                        SyntaxWarning, stacklevel=2)
+
+            self.pattern = pattern
+            self.flags = flags
+
+            try:
+                self.re = re.compile(self.pattern, self.flags)
+                self.reString = self.pattern
+            except sre_constants.error:
+                warnings.warn("invalid pattern (%s) passed to Regex" % pattern,
+                    SyntaxWarning, stacklevel=2)
+                raise
+
+        elif isinstance(pattern, Regex.compiledREtype):
+            self.re = pattern
+            self.pattern = \
+            self.reString = str(pattern)
+            self.flags = flags
+            
+        else:
+            raise ValueError("Regex may only be constructed with a string or a compiled RE object")
+
+        self.name = _ustr(self)
+        self.errmsg = "Expected " + self.name
+        self.mayIndexError = False
+        self.mayReturnEmpty = True
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        result = self.re.match(instring,loc)
+        if not result:
+            raise ParseException(instring, loc, self.errmsg, self)
+
+        loc = result.end()
+        d = result.groupdict()
+        ret = ParseResults(result.group())
+        if d:
+            for k in d:
+                ret[k] = d[k]
+        return loc,ret
+
+    def __str__( self ):
+        try:
+            return super(Regex,self).__str__()
+        except Exception:
+            pass
+
+        if self.strRepr is None:
+            self.strRepr = "Re:(%s)" % repr(self.pattern)
+
+        return self.strRepr
+
+
+class QuotedString(Token):
+    r"""
+    Token for matching strings that are delimited by quoting characters.
+    
+    Defined with the following parameters:
+        - quoteChar - string of one or more characters defining the quote delimiting string
+        - escChar - character to escape quotes, typically backslash (default=C{None})
+        - escQuote - special quote sequence to escape an embedded quote string (such as SQL's "" to escape an embedded ") (default=C{None})
+        - multiline - boolean indicating whether quotes can span multiple lines (default=C{False})
+        - unquoteResults - boolean indicating whether the matched text should be unquoted (default=C{True})
+        - endQuoteChar - string of one or more characters defining the end of the quote delimited string (default=C{None} => same as quoteChar)
+        - convertWhitespaceEscapes - convert escaped whitespace (C{'\t'}, C{'\n'}, etc.) to actual whitespace (default=C{True})
+
+    Example::
+        qs = QuotedString('"')
+        print(qs.searchString('lsjdf "This is the quote" sldjf'))
+        complex_qs = QuotedString('{{', endQuoteChar='}}')
+        print(complex_qs.searchString('lsjdf {{This is the "quote"}} sldjf'))
+        sql_qs = QuotedString('"', escQuote='""')
+        print(sql_qs.searchString('lsjdf "This is the quote with ""embedded"" quotes" sldjf'))
+    prints::
+        [['This is the quote']]
+        [['This is the "quote"']]
+        [['This is the quote with "embedded" quotes']]
+    """
+    def __init__( self, quoteChar, escChar=None, escQuote=None, multiline=False, unquoteResults=True, endQuoteChar=None, convertWhitespaceEscapes=True):
+        super(QuotedString,self).__init__()
+
+        # remove white space from quote chars - wont work anyway
+        quoteChar = quoteChar.strip()
+        if not quoteChar:
+            warnings.warn("quoteChar cannot be the empty string",SyntaxWarning,stacklevel=2)
+            raise SyntaxError()
+
+        if endQuoteChar is None:
+            endQuoteChar = quoteChar
+        else:
+            endQuoteChar = endQuoteChar.strip()
+            if not endQuoteChar:
+                warnings.warn("endQuoteChar cannot be the empty string",SyntaxWarning,stacklevel=2)
+                raise SyntaxError()
+
+        self.quoteChar = quoteChar
+        self.quoteCharLen = len(quoteChar)
+        self.firstQuoteChar = quoteChar[0]
+        self.endQuoteChar = endQuoteChar
+        self.endQuoteCharLen = len(endQuoteChar)
+        self.escChar = escChar
+        self.escQuote = escQuote
+        self.unquoteResults = unquoteResults
+        self.convertWhitespaceEscapes = convertWhitespaceEscapes
+
+        if multiline:
+            self.flags = re.MULTILINE | re.DOTALL
+            self.pattern = r'%s(?:[^%s%s]' % \
+                ( re.escape(self.quoteChar),
+                  _escapeRegexRangeChars(self.endQuoteChar[0]),
+                  (escChar is not None and _escapeRegexRangeChars(escChar) or '') )
+        else:
+            self.flags = 0
+            self.pattern = r'%s(?:[^%s\n\r%s]' % \
+                ( re.escape(self.quoteChar),
+                  _escapeRegexRangeChars(self.endQuoteChar[0]),
+                  (escChar is not None and _escapeRegexRangeChars(escChar) or '') )
+        if len(self.endQuoteChar) > 1:
+            self.pattern += (
+                '|(?:' + ')|(?:'.join("%s[^%s]" % (re.escape(self.endQuoteChar[:i]),
+                                               _escapeRegexRangeChars(self.endQuoteChar[i]))
+                                    for i in range(len(self.endQuoteChar)-1,0,-1)) + ')'
+                )
+        if escQuote:
+            self.pattern += (r'|(?:%s)' % re.escape(escQuote))
+        if escChar:
+            self.pattern += (r'|(?:%s.)' % re.escape(escChar))
+            self.escCharReplacePattern = re.escape(self.escChar)+"(.)"
+        self.pattern += (r')*%s' % re.escape(self.endQuoteChar))
+
+        try:
+            self.re = re.compile(self.pattern, self.flags)
+            self.reString = self.pattern
+        except sre_constants.error:
+            warnings.warn("invalid pattern (%s) passed to Regex" % self.pattern,
+                SyntaxWarning, stacklevel=2)
+            raise
+
+        self.name = _ustr(self)
+        self.errmsg = "Expected " + self.name
+        self.mayIndexError = False
+        self.mayReturnEmpty = True
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        result = instring[loc] == self.firstQuoteChar and self.re.match(instring,loc) or None
+        if not result:
+            raise ParseException(instring, loc, self.errmsg, self)
+
+        loc = result.end()
+        ret = result.group()
+
+        if self.unquoteResults:
+
+            # strip off quotes
+            ret = ret[self.quoteCharLen:-self.endQuoteCharLen]
+
+            if isinstance(ret,basestring):
+                # replace escaped whitespace
+                if '\\' in ret and self.convertWhitespaceEscapes:
+                    ws_map = {
+                        r'\t' : '\t',
+                        r'\n' : '\n',
+                        r'\f' : '\f',
+                        r'\r' : '\r',
+                    }
+                    for wslit,wschar in ws_map.items():
+                        ret = ret.replace(wslit, wschar)
+
+                # replace escaped characters
+                if self.escChar:
+                    ret = re.sub(self.escCharReplacePattern, r"\g<1>", ret)
+
+                # replace escaped quotes
+                if self.escQuote:
+                    ret = ret.replace(self.escQuote, self.endQuoteChar)
+
+        return loc, ret
+
+    def __str__( self ):
+        try:
+            return super(QuotedString,self).__str__()
+        except Exception:
+            pass
+
+        if self.strRepr is None:
+            self.strRepr = "quoted string, starting with %s ending with %s" % (self.quoteChar, self.endQuoteChar)
+
+        return self.strRepr
+
+
+class CharsNotIn(Token):
+    """
+    Token for matching words composed of characters I{not} in a given set (will
+    include whitespace in matched characters if not listed in the provided exclusion set - see example).
+    Defined with string containing all disallowed characters, and an optional
+    minimum, maximum, and/or exact length.  The default value for C{min} is 1 (a
+    minimum value < 1 is not valid); the default values for C{max} and C{exact}
+    are 0, meaning no maximum or exact length restriction.
+
+    Example::
+        # define a comma-separated-value as anything that is not a ','
+        csv_value = CharsNotIn(',')
+        print(delimitedList(csv_value).parseString("dkls,lsdkjf,s12 34,@!#,213"))
+    prints::
+        ['dkls', 'lsdkjf', 's12 34', '@!#', '213']
+    """
+    def __init__( self, notChars, min=1, max=0, exact=0 ):
+        super(CharsNotIn,self).__init__()
+        self.skipWhitespace = False
+        self.notChars = notChars
+
+        if min < 1:
+            raise ValueError("cannot specify a minimum length < 1; use Optional(CharsNotIn()) if zero-length char group is permitted")
+
+        self.minLen = min
+
+        if max > 0:
+            self.maxLen = max
+        else:
+            self.maxLen = _MAX_INT
+
+        if exact > 0:
+            self.maxLen = exact
+            self.minLen = exact
+
+        self.name = _ustr(self)
+        self.errmsg = "Expected " + self.name
+        self.mayReturnEmpty = ( self.minLen == 0 )
+        self.mayIndexError = False
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if instring[loc] in self.notChars:
+            raise ParseException(instring, loc, self.errmsg, self)
+
+        start = loc
+        loc += 1
+        notchars = self.notChars
+        maxlen = min( start+self.maxLen, len(instring) )
+        while loc < maxlen and \
+              (instring[loc] not in notchars):
+            loc += 1
+
+        if loc - start < self.minLen:
+            raise ParseException(instring, loc, self.errmsg, self)
+
+        return loc, instring[start:loc]
+
+    def __str__( self ):
+        try:
+            return super(CharsNotIn, self).__str__()
+        except Exception:
+            pass
+
+        if self.strRepr is None:
+            if len(self.notChars) > 4:
+                self.strRepr = "!W:(%s...)" % self.notChars[:4]
+            else:
+                self.strRepr = "!W:(%s)" % self.notChars
+
+        return self.strRepr
+
+class White(Token):
+    """
+    Special matching class for matching whitespace.  Normally, whitespace is ignored
+    by pyparsing grammars.  This class is included when some whitespace structures
+    are significant.  Define with a string containing the whitespace characters to be
+    matched; default is C{" \\t\\r\\n"}.  Also takes optional C{min}, C{max}, and C{exact} arguments,
+    as defined for the C{L{Word}} class.
+    """
+    whiteStrs = {
+        " " : "",
+        "\t": "",
+        "\n": "",
+        "\r": "",
+        "\f": "",
+        }
+    def __init__(self, ws=" \t\r\n", min=1, max=0, exact=0):
+        super(White,self).__init__()
+        self.matchWhite = ws
+        self.setWhitespaceChars( "".join(c for c in self.whiteChars if c not in self.matchWhite) )
+        #~ self.leaveWhitespace()
+        self.name = ("".join(White.whiteStrs[c] for c in self.matchWhite))
+        self.mayReturnEmpty = True
+        self.errmsg = "Expected " + self.name
+
+        self.minLen = min
+
+        if max > 0:
+            self.maxLen = max
+        else:
+            self.maxLen = _MAX_INT
+
+        if exact > 0:
+            self.maxLen = exact
+            self.minLen = exact
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if not(instring[ loc ] in self.matchWhite):
+            raise ParseException(instring, loc, self.errmsg, self)
+        start = loc
+        loc += 1
+        maxloc = start + self.maxLen
+        maxloc = min( maxloc, len(instring) )
+        while loc < maxloc and instring[loc] in self.matchWhite:
+            loc += 1
+
+        if loc - start < self.minLen:
+            raise ParseException(instring, loc, self.errmsg, self)
+
+        return loc, instring[start:loc]
+
+
+class _PositionToken(Token):
+    def __init__( self ):
+        super(_PositionToken,self).__init__()
+        self.name=self.__class__.__name__
+        self.mayReturnEmpty = True
+        self.mayIndexError = False
+
+class GoToColumn(_PositionToken):
+    """
+    Token to advance to a specific column of input text; useful for tabular report scraping.
+    """
+    def __init__( self, colno ):
+        super(GoToColumn,self).__init__()
+        self.col = colno
+
+    def preParse( self, instring, loc ):
+        if col(loc,instring) != self.col:
+            instrlen = len(instring)
+            if self.ignoreExprs:
+                loc = self._skipIgnorables( instring, loc )
+            while loc < instrlen and instring[loc].isspace() and col( loc, instring ) != self.col :
+                loc += 1
+        return loc
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        thiscol = col( loc, instring )
+        if thiscol > self.col:
+            raise ParseException( instring, loc, "Text not in expected column", self )
+        newloc = loc + self.col - thiscol
+        ret = instring[ loc: newloc ]
+        return newloc, ret
+
+
+class LineStart(_PositionToken):
+    """
+    Matches if current position is at the beginning of a line within the parse string
+    
+    Example::
+    
+        test = '''\
+        AAA this line
+        AAA and this line
+          AAA but not this one
+        B AAA and definitely not this one
+        '''
+
+        for t in (LineStart() + 'AAA' + restOfLine).searchString(test):
+            print(t)
+    
+    Prints::
+        ['AAA', ' this line']
+        ['AAA', ' and this line']    
+
+    """
+    def __init__( self ):
+        super(LineStart,self).__init__()
+        self.errmsg = "Expected start of line"
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if col(loc, instring) == 1:
+            return loc, []
+        raise ParseException(instring, loc, self.errmsg, self)
+
+class LineEnd(_PositionToken):
+    """
+    Matches if current position is at the end of a line within the parse string
+    """
+    def __init__( self ):
+        super(LineEnd,self).__init__()
+        self.setWhitespaceChars( ParserElement.DEFAULT_WHITE_CHARS.replace("\n","") )
+        self.errmsg = "Expected end of line"
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if loc len(instring):
+            return loc, []
+        else:
+            raise ParseException(instring, loc, self.errmsg, self)
+
+class WordStart(_PositionToken):
+    """
+    Matches if the current position is at the beginning of a Word, and
+    is not preceded by any character in a given set of C{wordChars}
+    (default=C{printables}). To emulate the C{\b} behavior of regular expressions,
+    use C{WordStart(alphanums)}. C{WordStart} will also match at the beginning of
+    the string being parsed, or at the beginning of a line.
+    """
+    def __init__(self, wordChars = printables):
+        super(WordStart,self).__init__()
+        self.wordChars = set(wordChars)
+        self.errmsg = "Not at the start of a word"
+
+    def parseImpl(self, instring, loc, doActions=True ):
+        if loc != 0:
+            if (instring[loc-1] in self.wordChars or
+                instring[loc] not in self.wordChars):
+                raise ParseException(instring, loc, self.errmsg, self)
+        return loc, []
+
+class WordEnd(_PositionToken):
+    """
+    Matches if the current position is at the end of a Word, and
+    is not followed by any character in a given set of C{wordChars}
+    (default=C{printables}). To emulate the C{\b} behavior of regular expressions,
+    use C{WordEnd(alphanums)}. C{WordEnd} will also match at the end of
+    the string being parsed, or at the end of a line.
+    """
+    def __init__(self, wordChars = printables):
+        super(WordEnd,self).__init__()
+        self.wordChars = set(wordChars)
+        self.skipWhitespace = False
+        self.errmsg = "Not at the end of a word"
+
+    def parseImpl(self, instring, loc, doActions=True ):
+        instrlen = len(instring)
+        if instrlen>0 and loc maxExcLoc:
+                    maxException = err
+                    maxExcLoc = err.loc
+            except IndexError:
+                if len(instring) > maxExcLoc:
+                    maxException = ParseException(instring,len(instring),e.errmsg,self)
+                    maxExcLoc = len(instring)
+            else:
+                # save match among all matches, to retry longest to shortest
+                matches.append((loc2, e))
+
+        if matches:
+            matches.sort(key=lambda x: -x[0])
+            for _,e in matches:
+                try:
+                    return e._parse( instring, loc, doActions )
+                except ParseException as err:
+                    err.__traceback__ = None
+                    if err.loc > maxExcLoc:
+                        maxException = err
+                        maxExcLoc = err.loc
+
+        if maxException is not None:
+            maxException.msg = self.errmsg
+            raise maxException
+        else:
+            raise ParseException(instring, loc, "no defined alternatives to match", self)
+
+
+    def __ixor__(self, other ):
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        return self.append( other ) #Or( [ self, other ] )
+
+    def __str__( self ):
+        if hasattr(self,"name"):
+            return self.name
+
+        if self.strRepr is None:
+            self.strRepr = "{" + " ^ ".join(_ustr(e) for e in self.exprs) + "}"
+
+        return self.strRepr
+
+    def checkRecursion( self, parseElementList ):
+        subRecCheckList = parseElementList[:] + [ self ]
+        for e in self.exprs:
+            e.checkRecursion( subRecCheckList )
+
+
+class MatchFirst(ParseExpression):
+    """
+    Requires that at least one C{ParseExpression} is found.
+    If two expressions match, the first one listed is the one that will match.
+    May be constructed using the C{'|'} operator.
+
+    Example::
+        # construct MatchFirst using '|' operator
+        
+        # watch the order of expressions to match
+        number = Word(nums) | Combine(Word(nums) + '.' + Word(nums))
+        print(number.searchString("123 3.1416 789")) #  Fail! -> [['123'], ['3'], ['1416'], ['789']]
+
+        # put more selective expression first
+        number = Combine(Word(nums) + '.' + Word(nums)) | Word(nums)
+        print(number.searchString("123 3.1416 789")) #  Better -> [['123'], ['3.1416'], ['789']]
+    """
+    def __init__( self, exprs, savelist = False ):
+        super(MatchFirst,self).__init__(exprs, savelist)
+        if self.exprs:
+            self.mayReturnEmpty = any(e.mayReturnEmpty for e in self.exprs)
+        else:
+            self.mayReturnEmpty = True
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        maxExcLoc = -1
+        maxException = None
+        for e in self.exprs:
+            try:
+                ret = e._parse( instring, loc, doActions )
+                return ret
+            except ParseException as err:
+                if err.loc > maxExcLoc:
+                    maxException = err
+                    maxExcLoc = err.loc
+            except IndexError:
+                if len(instring) > maxExcLoc:
+                    maxException = ParseException(instring,len(instring),e.errmsg,self)
+                    maxExcLoc = len(instring)
+
+        # only got here if no expression matched, raise exception for match that made it the furthest
+        else:
+            if maxException is not None:
+                maxException.msg = self.errmsg
+                raise maxException
+            else:
+                raise ParseException(instring, loc, "no defined alternatives to match", self)
+
+    def __ior__(self, other ):
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass( other )
+        return self.append( other ) #MatchFirst( [ self, other ] )
+
+    def __str__( self ):
+        if hasattr(self,"name"):
+            return self.name
+
+        if self.strRepr is None:
+            self.strRepr = "{" + " | ".join(_ustr(e) for e in self.exprs) + "}"
+
+        return self.strRepr
+
+    def checkRecursion( self, parseElementList ):
+        subRecCheckList = parseElementList[:] + [ self ]
+        for e in self.exprs:
+            e.checkRecursion( subRecCheckList )
+
+
+class Each(ParseExpression):
+    """
+    Requires all given C{ParseExpression}s to be found, but in any order.
+    Expressions may be separated by whitespace.
+    May be constructed using the C{'&'} operator.
+
+    Example::
+        color = oneOf("RED ORANGE YELLOW GREEN BLUE PURPLE BLACK WHITE BROWN")
+        shape_type = oneOf("SQUARE CIRCLE TRIANGLE STAR HEXAGON OCTAGON")
+        integer = Word(nums)
+        shape_attr = "shape:" + shape_type("shape")
+        posn_attr = "posn:" + Group(integer("x") + ',' + integer("y"))("posn")
+        color_attr = "color:" + color("color")
+        size_attr = "size:" + integer("size")
+
+        # use Each (using operator '&') to accept attributes in any order 
+        # (shape and posn are required, color and size are optional)
+        shape_spec = shape_attr & posn_attr & Optional(color_attr) & Optional(size_attr)
+
+        shape_spec.runTests('''
+            shape: SQUARE color: BLACK posn: 100, 120
+            shape: CIRCLE size: 50 color: BLUE posn: 50,80
+            color:GREEN size:20 shape:TRIANGLE posn:20,40
+            '''
+            )
+    prints::
+        shape: SQUARE color: BLACK posn: 100, 120
+        ['shape:', 'SQUARE', 'color:', 'BLACK', 'posn:', ['100', ',', '120']]
+        - color: BLACK
+        - posn: ['100', ',', '120']
+          - x: 100
+          - y: 120
+        - shape: SQUARE
+
+
+        shape: CIRCLE size: 50 color: BLUE posn: 50,80
+        ['shape:', 'CIRCLE', 'size:', '50', 'color:', 'BLUE', 'posn:', ['50', ',', '80']]
+        - color: BLUE
+        - posn: ['50', ',', '80']
+          - x: 50
+          - y: 80
+        - shape: CIRCLE
+        - size: 50
+
+
+        color: GREEN size: 20 shape: TRIANGLE posn: 20,40
+        ['color:', 'GREEN', 'size:', '20', 'shape:', 'TRIANGLE', 'posn:', ['20', ',', '40']]
+        - color: GREEN
+        - posn: ['20', ',', '40']
+          - x: 20
+          - y: 40
+        - shape: TRIANGLE
+        - size: 20
+    """
+    def __init__( self, exprs, savelist = True ):
+        super(Each,self).__init__(exprs, savelist)
+        self.mayReturnEmpty = all(e.mayReturnEmpty for e in self.exprs)
+        self.skipWhitespace = True
+        self.initExprGroups = True
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if self.initExprGroups:
+            self.opt1map = dict((id(e.expr),e) for e in self.exprs if isinstance(e,Optional))
+            opt1 = [ e.expr for e in self.exprs if isinstance(e,Optional) ]
+            opt2 = [ e for e in self.exprs if e.mayReturnEmpty and not isinstance(e,Optional)]
+            self.optionals = opt1 + opt2
+            self.multioptionals = [ e.expr for e in self.exprs if isinstance(e,ZeroOrMore) ]
+            self.multirequired = [ e.expr for e in self.exprs if isinstance(e,OneOrMore) ]
+            self.required = [ e for e in self.exprs if not isinstance(e,(Optional,ZeroOrMore,OneOrMore)) ]
+            self.required += self.multirequired
+            self.initExprGroups = False
+        tmpLoc = loc
+        tmpReqd = self.required[:]
+        tmpOpt  = self.optionals[:]
+        matchOrder = []
+
+        keepMatching = True
+        while keepMatching:
+            tmpExprs = tmpReqd + tmpOpt + self.multioptionals + self.multirequired
+            failed = []
+            for e in tmpExprs:
+                try:
+                    tmpLoc = e.tryParse( instring, tmpLoc )
+                except ParseException:
+                    failed.append(e)
+                else:
+                    matchOrder.append(self.opt1map.get(id(e),e))
+                    if e in tmpReqd:
+                        tmpReqd.remove(e)
+                    elif e in tmpOpt:
+                        tmpOpt.remove(e)
+            if len(failed) == len(tmpExprs):
+                keepMatching = False
+
+        if tmpReqd:
+            missing = ", ".join(_ustr(e) for e in tmpReqd)
+            raise ParseException(instring,loc,"Missing one or more required elements (%s)" % missing )
+
+        # add any unmatched Optionals, in case they have default values defined
+        matchOrder += [e for e in self.exprs if isinstance(e,Optional) and e.expr in tmpOpt]
+
+        resultlist = []
+        for e in matchOrder:
+            loc,results = e._parse(instring,loc,doActions)
+            resultlist.append(results)
+
+        finalResults = sum(resultlist, ParseResults([]))
+        return loc, finalResults
+
+    def __str__( self ):
+        if hasattr(self,"name"):
+            return self.name
+
+        if self.strRepr is None:
+            self.strRepr = "{" + " & ".join(_ustr(e) for e in self.exprs) + "}"
+
+        return self.strRepr
+
+    def checkRecursion( self, parseElementList ):
+        subRecCheckList = parseElementList[:] + [ self ]
+        for e in self.exprs:
+            e.checkRecursion( subRecCheckList )
+
+
+class ParseElementEnhance(ParserElement):
+    """
+    Abstract subclass of C{ParserElement}, for combining and post-processing parsed tokens.
+    """
+    def __init__( self, expr, savelist=False ):
+        super(ParseElementEnhance,self).__init__(savelist)
+        if isinstance( expr, basestring ):
+            if issubclass(ParserElement._literalStringClass, Token):
+                expr = ParserElement._literalStringClass(expr)
+            else:
+                expr = ParserElement._literalStringClass(Literal(expr))
+        self.expr = expr
+        self.strRepr = None
+        if expr is not None:
+            self.mayIndexError = expr.mayIndexError
+            self.mayReturnEmpty = expr.mayReturnEmpty
+            self.setWhitespaceChars( expr.whiteChars )
+            self.skipWhitespace = expr.skipWhitespace
+            self.saveAsList = expr.saveAsList
+            self.callPreparse = expr.callPreparse
+            self.ignoreExprs.extend(expr.ignoreExprs)
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if self.expr is not None:
+            return self.expr._parse( instring, loc, doActions, callPreParse=False )
+        else:
+            raise ParseException("",loc,self.errmsg,self)
+
+    def leaveWhitespace( self ):
+        self.skipWhitespace = False
+        self.expr = self.expr.copy()
+        if self.expr is not None:
+            self.expr.leaveWhitespace()
+        return self
+
+    def ignore( self, other ):
+        if isinstance( other, Suppress ):
+            if other not in self.ignoreExprs:
+                super( ParseElementEnhance, self).ignore( other )
+                if self.expr is not None:
+                    self.expr.ignore( self.ignoreExprs[-1] )
+        else:
+            super( ParseElementEnhance, self).ignore( other )
+            if self.expr is not None:
+                self.expr.ignore( self.ignoreExprs[-1] )
+        return self
+
+    def streamline( self ):
+        super(ParseElementEnhance,self).streamline()
+        if self.expr is not None:
+            self.expr.streamline()
+        return self
+
+    def checkRecursion( self, parseElementList ):
+        if self in parseElementList:
+            raise RecursiveGrammarException( parseElementList+[self] )
+        subRecCheckList = parseElementList[:] + [ self ]
+        if self.expr is not None:
+            self.expr.checkRecursion( subRecCheckList )
+
+    def validate( self, validateTrace=[] ):
+        tmp = validateTrace[:]+[self]
+        if self.expr is not None:
+            self.expr.validate(tmp)
+        self.checkRecursion( [] )
+
+    def __str__( self ):
+        try:
+            return super(ParseElementEnhance,self).__str__()
+        except Exception:
+            pass
+
+        if self.strRepr is None and self.expr is not None:
+            self.strRepr = "%s:(%s)" % ( self.__class__.__name__, _ustr(self.expr) )
+        return self.strRepr
+
+
+class FollowedBy(ParseElementEnhance):
+    """
+    Lookahead matching of the given parse expression.  C{FollowedBy}
+    does I{not} advance the parsing position within the input string, it only
+    verifies that the specified parse expression matches at the current
+    position.  C{FollowedBy} always returns a null token list.
+
+    Example::
+        # use FollowedBy to match a label only if it is followed by a ':'
+        data_word = Word(alphas)
+        label = data_word + FollowedBy(':')
+        attr_expr = Group(label + Suppress(':') + OneOrMore(data_word, stopOn=label).setParseAction(' '.join))
+        
+        OneOrMore(attr_expr).parseString("shape: SQUARE color: BLACK posn: upper left").pprint()
+    prints::
+        [['shape', 'SQUARE'], ['color', 'BLACK'], ['posn', 'upper left']]
+    """
+    def __init__( self, expr ):
+        super(FollowedBy,self).__init__(expr)
+        self.mayReturnEmpty = True
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        self.expr.tryParse( instring, loc )
+        return loc, []
+
+
+class NotAny(ParseElementEnhance):
+    """
+    Lookahead to disallow matching with the given parse expression.  C{NotAny}
+    does I{not} advance the parsing position within the input string, it only
+    verifies that the specified parse expression does I{not} match at the current
+    position.  Also, C{NotAny} does I{not} skip over leading whitespace. C{NotAny}
+    always returns a null token list.  May be constructed using the '~' operator.
+
+    Example::
+        
+    """
+    def __init__( self, expr ):
+        super(NotAny,self).__init__(expr)
+        #~ self.leaveWhitespace()
+        self.skipWhitespace = False  # do NOT use self.leaveWhitespace(), don't want to propagate to exprs
+        self.mayReturnEmpty = True
+        self.errmsg = "Found unwanted token, "+_ustr(self.expr)
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        if self.expr.canParseNext(instring, loc):
+            raise ParseException(instring, loc, self.errmsg, self)
+        return loc, []
+
+    def __str__( self ):
+        if hasattr(self,"name"):
+            return self.name
+
+        if self.strRepr is None:
+            self.strRepr = "~{" + _ustr(self.expr) + "}"
+
+        return self.strRepr
+
+class _MultipleMatch(ParseElementEnhance):
+    def __init__( self, expr, stopOn=None):
+        super(_MultipleMatch, self).__init__(expr)
+        self.saveAsList = True
+        ender = stopOn
+        if isinstance(ender, basestring):
+            ender = ParserElement._literalStringClass(ender)
+        self.not_ender = ~ender if ender is not None else None
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        self_expr_parse = self.expr._parse
+        self_skip_ignorables = self._skipIgnorables
+        check_ender = self.not_ender is not None
+        if check_ender:
+            try_not_ender = self.not_ender.tryParse
+        
+        # must be at least one (but first see if we are the stopOn sentinel;
+        # if so, fail)
+        if check_ender:
+            try_not_ender(instring, loc)
+        loc, tokens = self_expr_parse( instring, loc, doActions, callPreParse=False )
+        try:
+            hasIgnoreExprs = (not not self.ignoreExprs)
+            while 1:
+                if check_ender:
+                    try_not_ender(instring, loc)
+                if hasIgnoreExprs:
+                    preloc = self_skip_ignorables( instring, loc )
+                else:
+                    preloc = loc
+                loc, tmptokens = self_expr_parse( instring, preloc, doActions )
+                if tmptokens or tmptokens.haskeys():
+                    tokens += tmptokens
+        except (ParseException,IndexError):
+            pass
+
+        return loc, tokens
+        
+class OneOrMore(_MultipleMatch):
+    """
+    Repetition of one or more of the given expression.
+    
+    Parameters:
+     - expr - expression that must match one or more times
+     - stopOn - (default=C{None}) - expression for a terminating sentinel
+          (only required if the sentinel would ordinarily match the repetition 
+          expression)          
+
+    Example::
+        data_word = Word(alphas)
+        label = data_word + FollowedBy(':')
+        attr_expr = Group(label + Suppress(':') + OneOrMore(data_word).setParseAction(' '.join))
+
+        text = "shape: SQUARE posn: upper left color: BLACK"
+        OneOrMore(attr_expr).parseString(text).pprint()  # Fail! read 'color' as data instead of next label -> [['shape', 'SQUARE color']]
+
+        # use stopOn attribute for OneOrMore to avoid reading label string as part of the data
+        attr_expr = Group(label + Suppress(':') + OneOrMore(data_word, stopOn=label).setParseAction(' '.join))
+        OneOrMore(attr_expr).parseString(text).pprint() # Better -> [['shape', 'SQUARE'], ['posn', 'upper left'], ['color', 'BLACK']]
+        
+        # could also be written as
+        (attr_expr * (1,)).parseString(text).pprint()
+    """
+
+    def __str__( self ):
+        if hasattr(self,"name"):
+            return self.name
+
+        if self.strRepr is None:
+            self.strRepr = "{" + _ustr(self.expr) + "}..."
+
+        return self.strRepr
+
+class ZeroOrMore(_MultipleMatch):
+    """
+    Optional repetition of zero or more of the given expression.
+    
+    Parameters:
+     - expr - expression that must match zero or more times
+     - stopOn - (default=C{None}) - expression for a terminating sentinel
+          (only required if the sentinel would ordinarily match the repetition 
+          expression)          
+
+    Example: similar to L{OneOrMore}
+    """
+    def __init__( self, expr, stopOn=None):
+        super(ZeroOrMore,self).__init__(expr, stopOn=stopOn)
+        self.mayReturnEmpty = True
+        
+    def parseImpl( self, instring, loc, doActions=True ):
+        try:
+            return super(ZeroOrMore, self).parseImpl(instring, loc, doActions)
+        except (ParseException,IndexError):
+            return loc, []
+
+    def __str__( self ):
+        if hasattr(self,"name"):
+            return self.name
+
+        if self.strRepr is None:
+            self.strRepr = "[" + _ustr(self.expr) + "]..."
+
+        return self.strRepr
+
+class _NullToken(object):
+    def __bool__(self):
+        return False
+    __nonzero__ = __bool__
+    def __str__(self):
+        return ""
+
+_optionalNotMatched = _NullToken()
+class Optional(ParseElementEnhance):
+    """
+    Optional matching of the given expression.
+
+    Parameters:
+     - expr - expression that must match zero or more times
+     - default (optional) - value to be returned if the optional expression is not found.
+
+    Example::
+        # US postal code can be a 5-digit zip, plus optional 4-digit qualifier
+        zip = Combine(Word(nums, exact=5) + Optional('-' + Word(nums, exact=4)))
+        zip.runTests('''
+            # traditional ZIP code
+            12345
+            
+            # ZIP+4 form
+            12101-0001
+            
+            # invalid ZIP
+            98765-
+            ''')
+    prints::
+        # traditional ZIP code
+        12345
+        ['12345']
+
+        # ZIP+4 form
+        12101-0001
+        ['12101-0001']
+
+        # invalid ZIP
+        98765-
+             ^
+        FAIL: Expected end of text (at char 5), (line:1, col:6)
+    """
+    def __init__( self, expr, default=_optionalNotMatched ):
+        super(Optional,self).__init__( expr, savelist=False )
+        self.saveAsList = self.expr.saveAsList
+        self.defaultValue = default
+        self.mayReturnEmpty = True
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        try:
+            loc, tokens = self.expr._parse( instring, loc, doActions, callPreParse=False )
+        except (ParseException,IndexError):
+            if self.defaultValue is not _optionalNotMatched:
+                if self.expr.resultsName:
+                    tokens = ParseResults([ self.defaultValue ])
+                    tokens[self.expr.resultsName] = self.defaultValue
+                else:
+                    tokens = [ self.defaultValue ]
+            else:
+                tokens = []
+        return loc, tokens
+
+    def __str__( self ):
+        if hasattr(self,"name"):
+            return self.name
+
+        if self.strRepr is None:
+            self.strRepr = "[" + _ustr(self.expr) + "]"
+
+        return self.strRepr
+
+class SkipTo(ParseElementEnhance):
+    """
+    Token for skipping over all undefined text until the matched expression is found.
+
+    Parameters:
+     - expr - target expression marking the end of the data to be skipped
+     - include - (default=C{False}) if True, the target expression is also parsed 
+          (the skipped text and target expression are returned as a 2-element list).
+     - ignore - (default=C{None}) used to define grammars (typically quoted strings and 
+          comments) that might contain false matches to the target expression
+     - failOn - (default=C{None}) define expressions that are not allowed to be 
+          included in the skipped test; if found before the target expression is found, 
+          the SkipTo is not a match
+
+    Example::
+        report = '''
+            Outstanding Issues Report - 1 Jan 2000
+
+               # | Severity | Description                               |  Days Open
+            -----+----------+-------------------------------------------+-----------
+             101 | Critical | Intermittent system crash                 |          6
+              94 | Cosmetic | Spelling error on Login ('log|n')         |         14
+              79 | Minor    | System slow when running too many reports |         47
+            '''
+        integer = Word(nums)
+        SEP = Suppress('|')
+        # use SkipTo to simply match everything up until the next SEP
+        # - ignore quoted strings, so that a '|' character inside a quoted string does not match
+        # - parse action will call token.strip() for each matched token, i.e., the description body
+        string_data = SkipTo(SEP, ignore=quotedString)
+        string_data.setParseAction(tokenMap(str.strip))
+        ticket_expr = (integer("issue_num") + SEP 
+                      + string_data("sev") + SEP 
+                      + string_data("desc") + SEP 
+                      + integer("days_open"))
+        
+        for tkt in ticket_expr.searchString(report):
+            print tkt.dump()
+    prints::
+        ['101', 'Critical', 'Intermittent system crash', '6']
+        - days_open: 6
+        - desc: Intermittent system crash
+        - issue_num: 101
+        - sev: Critical
+        ['94', 'Cosmetic', "Spelling error on Login ('log|n')", '14']
+        - days_open: 14
+        - desc: Spelling error on Login ('log|n')
+        - issue_num: 94
+        - sev: Cosmetic
+        ['79', 'Minor', 'System slow when running too many reports', '47']
+        - days_open: 47
+        - desc: System slow when running too many reports
+        - issue_num: 79
+        - sev: Minor
+    """
+    def __init__( self, other, include=False, ignore=None, failOn=None ):
+        super( SkipTo, self ).__init__( other )
+        self.ignoreExpr = ignore
+        self.mayReturnEmpty = True
+        self.mayIndexError = False
+        self.includeMatch = include
+        self.asList = False
+        if isinstance(failOn, basestring):
+            self.failOn = ParserElement._literalStringClass(failOn)
+        else:
+            self.failOn = failOn
+        self.errmsg = "No match found for "+_ustr(self.expr)
+
+    def parseImpl( self, instring, loc, doActions=True ):
+        startloc = loc
+        instrlen = len(instring)
+        expr = self.expr
+        expr_parse = self.expr._parse
+        self_failOn_canParseNext = self.failOn.canParseNext if self.failOn is not None else None
+        self_ignoreExpr_tryParse = self.ignoreExpr.tryParse if self.ignoreExpr is not None else None
+        
+        tmploc = loc
+        while tmploc <= instrlen:
+            if self_failOn_canParseNext is not None:
+                # break if failOn expression matches
+                if self_failOn_canParseNext(instring, tmploc):
+                    break
+                    
+            if self_ignoreExpr_tryParse is not None:
+                # advance past ignore expressions
+                while 1:
+                    try:
+                        tmploc = self_ignoreExpr_tryParse(instring, tmploc)
+                    except ParseBaseException:
+                        break
+            
+            try:
+                expr_parse(instring, tmploc, doActions=False, callPreParse=False)
+            except (ParseException, IndexError):
+                # no match, advance loc in string
+                tmploc += 1
+            else:
+                # matched skipto expr, done
+                break
+
+        else:
+            # ran off the end of the input string without matching skipto expr, fail
+            raise ParseException(instring, loc, self.errmsg, self)
+
+        # build up return values
+        loc = tmploc
+        skiptext = instring[startloc:loc]
+        skipresult = ParseResults(skiptext)
+        
+        if self.includeMatch:
+            loc, mat = expr_parse(instring,loc,doActions,callPreParse=False)
+            skipresult += mat
+
+        return loc, skipresult
+
+class Forward(ParseElementEnhance):
+    """
+    Forward declaration of an expression to be defined later -
+    used for recursive grammars, such as algebraic infix notation.
+    When the expression is known, it is assigned to the C{Forward} variable using the '<<' operator.
+
+    Note: take care when assigning to C{Forward} not to overlook precedence of operators.
+    Specifically, '|' has a lower precedence than '<<', so that::
+        fwdExpr << a | b | c
+    will actually be evaluated as::
+        (fwdExpr << a) | b | c
+    thereby leaving b and c out as parseable alternatives.  It is recommended that you
+    explicitly group the values inserted into the C{Forward}::
+        fwdExpr << (a | b | c)
+    Converting to use the '<<=' operator instead will avoid this problem.
+
+    See L{ParseResults.pprint} for an example of a recursive parser created using
+    C{Forward}.
+    """
+    def __init__( self, other=None ):
+        super(Forward,self).__init__( other, savelist=False )
+
+    def __lshift__( self, other ):
+        if isinstance( other, basestring ):
+            other = ParserElement._literalStringClass(other)
+        self.expr = other
+        self.strRepr = None
+        self.mayIndexError = self.expr.mayIndexError
+        self.mayReturnEmpty = self.expr.mayReturnEmpty
+        self.setWhitespaceChars( self.expr.whiteChars )
+        self.skipWhitespace = self.expr.skipWhitespace
+        self.saveAsList = self.expr.saveAsList
+        self.ignoreExprs.extend(self.expr.ignoreExprs)
+        return self
+        
+    def __ilshift__(self, other):
+        return self << other
+    
+    def leaveWhitespace( self ):
+        self.skipWhitespace = False
+        return self
+
+    def streamline( self ):
+        if not self.streamlined:
+            self.streamlined = True
+            if self.expr is not None:
+                self.expr.streamline()
+        return self
+
+    def validate( self, validateTrace=[] ):
+        if self not in validateTrace:
+            tmp = validateTrace[:]+[self]
+            if self.expr is not None:
+                self.expr.validate(tmp)
+        self.checkRecursion([])
+
+    def __str__( self ):
+        if hasattr(self,"name"):
+            return self.name
+        return self.__class__.__name__ + ": ..."
+
+        # stubbed out for now - creates awful memory and perf issues
+        self._revertClass = self.__class__
+        self.__class__ = _ForwardNoRecurse
+        try:
+            if self.expr is not None:
+                retString = _ustr(self.expr)
+            else:
+                retString = "None"
+        finally:
+            self.__class__ = self._revertClass
+        return self.__class__.__name__ + ": " + retString
+
+    def copy(self):
+        if self.expr is not None:
+            return super(Forward,self).copy()
+        else:
+            ret = Forward()
+            ret <<= self
+            return ret
+
+class _ForwardNoRecurse(Forward):
+    def __str__( self ):
+        return "..."
+
+class TokenConverter(ParseElementEnhance):
+    """
+    Abstract subclass of C{ParseExpression}, for converting parsed results.
+    """
+    def __init__( self, expr, savelist=False ):
+        super(TokenConverter,self).__init__( expr )#, savelist )
+        self.saveAsList = False
+
+class Combine(TokenConverter):
+    """
+    Converter to concatenate all matching tokens to a single string.
+    By default, the matching patterns must also be contiguous in the input string;
+    this can be disabled by specifying C{'adjacent=False'} in the constructor.
+
+    Example::
+        real = Word(nums) + '.' + Word(nums)
+        print(real.parseString('3.1416')) # -> ['3', '.', '1416']
+        # will also erroneously match the following
+        print(real.parseString('3. 1416')) # -> ['3', '.', '1416']
+
+        real = Combine(Word(nums) + '.' + Word(nums))
+        print(real.parseString('3.1416')) # -> ['3.1416']
+        # no match when there are internal spaces
+        print(real.parseString('3. 1416')) # -> Exception: Expected W:(0123...)
+    """
+    def __init__( self, expr, joinString="", adjacent=True ):
+        super(Combine,self).__init__( expr )
+        # suppress whitespace-stripping in contained parse expressions, but re-enable it on the Combine itself
+        if adjacent:
+            self.leaveWhitespace()
+        self.adjacent = adjacent
+        self.skipWhitespace = True
+        self.joinString = joinString
+        self.callPreparse = True
+
+    def ignore( self, other ):
+        if self.adjacent:
+            ParserElement.ignore(self, other)
+        else:
+            super( Combine, self).ignore( other )
+        return self
+
+    def postParse( self, instring, loc, tokenlist ):
+        retToks = tokenlist.copy()
+        del retToks[:]
+        retToks += ParseResults([ "".join(tokenlist._asStringList(self.joinString)) ], modal=self.modalResults)
+
+        if self.resultsName and retToks.haskeys():
+            return [ retToks ]
+        else:
+            return retToks
+
+class Group(TokenConverter):
+    """
+    Converter to return the matched tokens as a list - useful for returning tokens of C{L{ZeroOrMore}} and C{L{OneOrMore}} expressions.
+
+    Example::
+        ident = Word(alphas)
+        num = Word(nums)
+        term = ident | num
+        func = ident + Optional(delimitedList(term))
+        print(func.parseString("fn a,b,100"))  # -> ['fn', 'a', 'b', '100']
+
+        func = ident + Group(Optional(delimitedList(term)))
+        print(func.parseString("fn a,b,100"))  # -> ['fn', ['a', 'b', '100']]
+    """
+    def __init__( self, expr ):
+        super(Group,self).__init__( expr )
+        self.saveAsList = True
+
+    def postParse( self, instring, loc, tokenlist ):
+        return [ tokenlist ]
+
+class Dict(TokenConverter):
+    """
+    Converter to return a repetitive expression as a list, but also as a dictionary.
+    Each element can also be referenced using the first token in the expression as its key.
+    Useful for tabular report scraping when the first column can be used as a item key.
+
+    Example::
+        data_word = Word(alphas)
+        label = data_word + FollowedBy(':')
+        attr_expr = Group(label + Suppress(':') + OneOrMore(data_word).setParseAction(' '.join))
+
+        text = "shape: SQUARE posn: upper left color: light blue texture: burlap"
+        attr_expr = (label + Suppress(':') + OneOrMore(data_word, stopOn=label).setParseAction(' '.join))
+        
+        # print attributes as plain groups
+        print(OneOrMore(attr_expr).parseString(text).dump())
+        
+        # instead of OneOrMore(expr), parse using Dict(OneOrMore(Group(expr))) - Dict will auto-assign names
+        result = Dict(OneOrMore(Group(attr_expr))).parseString(text)
+        print(result.dump())
+        
+        # access named fields as dict entries, or output as dict
+        print(result['shape'])        
+        print(result.asDict())
+    prints::
+        ['shape', 'SQUARE', 'posn', 'upper left', 'color', 'light blue', 'texture', 'burlap']
+
+        [['shape', 'SQUARE'], ['posn', 'upper left'], ['color', 'light blue'], ['texture', 'burlap']]
+        - color: light blue
+        - posn: upper left
+        - shape: SQUARE
+        - texture: burlap
+        SQUARE
+        {'color': 'light blue', 'posn': 'upper left', 'texture': 'burlap', 'shape': 'SQUARE'}
+    See more examples at L{ParseResults} of accessing fields by results name.
+    """
+    def __init__( self, expr ):
+        super(Dict,self).__init__( expr )
+        self.saveAsList = True
+
+    def postParse( self, instring, loc, tokenlist ):
+        for i,tok in enumerate(tokenlist):
+            if len(tok) == 0:
+                continue
+            ikey = tok[0]
+            if isinstance(ikey,int):
+                ikey = _ustr(tok[0]).strip()
+            if len(tok)==1:
+                tokenlist[ikey] = _ParseResultsWithOffset("",i)
+            elif len(tok)==2 and not isinstance(tok[1],ParseResults):
+                tokenlist[ikey] = _ParseResultsWithOffset(tok[1],i)
+            else:
+                dictvalue = tok.copy() #ParseResults(i)
+                del dictvalue[0]
+                if len(dictvalue)!= 1 or (isinstance(dictvalue,ParseResults) and dictvalue.haskeys()):
+                    tokenlist[ikey] = _ParseResultsWithOffset(dictvalue,i)
+                else:
+                    tokenlist[ikey] = _ParseResultsWithOffset(dictvalue[0],i)
+
+        if self.resultsName:
+            return [ tokenlist ]
+        else:
+            return tokenlist
+
+
+class Suppress(TokenConverter):
+    """
+    Converter for ignoring the results of a parsed expression.
+
+    Example::
+        source = "a, b, c,d"
+        wd = Word(alphas)
+        wd_list1 = wd + ZeroOrMore(',' + wd)
+        print(wd_list1.parseString(source))
+
+        # often, delimiters that are useful during parsing are just in the
+        # way afterward - use Suppress to keep them out of the parsed output
+        wd_list2 = wd + ZeroOrMore(Suppress(',') + wd)
+        print(wd_list2.parseString(source))
+    prints::
+        ['a', ',', 'b', ',', 'c', ',', 'd']
+        ['a', 'b', 'c', 'd']
+    (See also L{delimitedList}.)
+    """
+    def postParse( self, instring, loc, tokenlist ):
+        return []
+
+    def suppress( self ):
+        return self
+
+
+class OnlyOnce(object):
+    """
+    Wrapper for parse actions, to ensure they are only called once.
+    """
+    def __init__(self, methodCall):
+        self.callable = _trim_arity(methodCall)
+        self.called = False
+    def __call__(self,s,l,t):
+        if not self.called:
+            results = self.callable(s,l,t)
+            self.called = True
+            return results
+        raise ParseException(s,l,"")
+    def reset(self):
+        self.called = False
+
+def traceParseAction(f):
+    """
+    Decorator for debugging parse actions. 
+    
+    When the parse action is called, this decorator will print C{">> entering I{method-name}(line:I{current_source_line}, I{parse_location}, I{matched_tokens})".}
+    When the parse action completes, the decorator will print C{"<<"} followed by the returned value, or any exception that the parse action raised.
+
+    Example::
+        wd = Word(alphas)
+
+        @traceParseAction
+        def remove_duplicate_chars(tokens):
+            return ''.join(sorted(set(''.join(tokens))))
+
+        wds = OneOrMore(wd).setParseAction(remove_duplicate_chars)
+        print(wds.parseString("slkdjs sld sldd sdlf sdljf"))
+    prints::
+        >>entering remove_duplicate_chars(line: 'slkdjs sld sldd sdlf sdljf', 0, (['slkdjs', 'sld', 'sldd', 'sdlf', 'sdljf'], {}))
+        <3:
+            thisFunc = paArgs[0].__class__.__name__ + '.' + thisFunc
+        sys.stderr.write( ">>entering %s(line: '%s', %d, %r)\n" % (thisFunc,line(l,s),l,t) )
+        try:
+            ret = f(*paArgs)
+        except Exception as exc:
+            sys.stderr.write( "< ['aa', 'bb', 'cc']
+        delimitedList(Word(hexnums), delim=':', combine=True).parseString("AA:BB:CC:DD:EE") # -> ['AA:BB:CC:DD:EE']
+    """
+    dlName = _ustr(expr)+" ["+_ustr(delim)+" "+_ustr(expr)+"]..."
+    if combine:
+        return Combine( expr + ZeroOrMore( delim + expr ) ).setName(dlName)
+    else:
+        return ( expr + ZeroOrMore( Suppress( delim ) + expr ) ).setName(dlName)
+
+def countedArray( expr, intExpr=None ):
+    """
+    Helper to define a counted list of expressions.
+    This helper defines a pattern of the form::
+        integer expr expr expr...
+    where the leading integer tells how many expr expressions follow.
+    The matched tokens returns the array of expr tokens as a list - the leading count token is suppressed.
+    
+    If C{intExpr} is specified, it should be a pyparsing expression that produces an integer value.
+
+    Example::
+        countedArray(Word(alphas)).parseString('2 ab cd ef')  # -> ['ab', 'cd']
+
+        # in this parser, the leading integer value is given in binary,
+        # '10' indicating that 2 values are in the array
+        binaryConstant = Word('01').setParseAction(lambda t: int(t[0], 2))
+        countedArray(Word(alphas), intExpr=binaryConstant).parseString('10 ab cd ef')  # -> ['ab', 'cd']
+    """
+    arrayExpr = Forward()
+    def countFieldParseAction(s,l,t):
+        n = t[0]
+        arrayExpr << (n and Group(And([expr]*n)) or Group(empty))
+        return []
+    if intExpr is None:
+        intExpr = Word(nums).setParseAction(lambda t:int(t[0]))
+    else:
+        intExpr = intExpr.copy()
+    intExpr.setName("arrayLen")
+    intExpr.addParseAction(countFieldParseAction, callDuringTry=True)
+    return ( intExpr + arrayExpr ).setName('(len) ' + _ustr(expr) + '...')
+
+def _flatten(L):
+    ret = []
+    for i in L:
+        if isinstance(i,list):
+            ret.extend(_flatten(i))
+        else:
+            ret.append(i)
+    return ret
+
+def matchPreviousLiteral(expr):
+    """
+    Helper to define an expression that is indirectly defined from
+    the tokens matched in a previous expression, that is, it looks
+    for a 'repeat' of a previous expression.  For example::
+        first = Word(nums)
+        second = matchPreviousLiteral(first)
+        matchExpr = first + ":" + second
+    will match C{"1:1"}, but not C{"1:2"}.  Because this matches a
+    previous literal, will also match the leading C{"1:1"} in C{"1:10"}.
+    If this is not desired, use C{matchPreviousExpr}.
+    Do I{not} use with packrat parsing enabled.
+    """
+    rep = Forward()
+    def copyTokenToRepeater(s,l,t):
+        if t:
+            if len(t) == 1:
+                rep << t[0]
+            else:
+                # flatten t tokens
+                tflat = _flatten(t.asList())
+                rep << And(Literal(tt) for tt in tflat)
+        else:
+            rep << Empty()
+    expr.addParseAction(copyTokenToRepeater, callDuringTry=True)
+    rep.setName('(prev) ' + _ustr(expr))
+    return rep
+
+def matchPreviousExpr(expr):
+    """
+    Helper to define an expression that is indirectly defined from
+    the tokens matched in a previous expression, that is, it looks
+    for a 'repeat' of a previous expression.  For example::
+        first = Word(nums)
+        second = matchPreviousExpr(first)
+        matchExpr = first + ":" + second
+    will match C{"1:1"}, but not C{"1:2"}.  Because this matches by
+    expressions, will I{not} match the leading C{"1:1"} in C{"1:10"};
+    the expressions are evaluated first, and then compared, so
+    C{"1"} is compared with C{"10"}.
+    Do I{not} use with packrat parsing enabled.
+    """
+    rep = Forward()
+    e2 = expr.copy()
+    rep <<= e2
+    def copyTokenToRepeater(s,l,t):
+        matchTokens = _flatten(t.asList())
+        def mustMatchTheseTokens(s,l,t):
+            theseTokens = _flatten(t.asList())
+            if  theseTokens != matchTokens:
+                raise ParseException("",0,"")
+        rep.setParseAction( mustMatchTheseTokens, callDuringTry=True )
+    expr.addParseAction(copyTokenToRepeater, callDuringTry=True)
+    rep.setName('(prev) ' + _ustr(expr))
+    return rep
+
+def _escapeRegexRangeChars(s):
+    #~  escape these chars: ^-]
+    for c in r"\^-]":
+        s = s.replace(c,_bslash+c)
+    s = s.replace("\n",r"\n")
+    s = s.replace("\t",r"\t")
+    return _ustr(s)
+
+def oneOf( strs, caseless=False, useRegex=True ):
+    """
+    Helper to quickly define a set of alternative Literals, and makes sure to do
+    longest-first testing when there is a conflict, regardless of the input order,
+    but returns a C{L{MatchFirst}} for best performance.
+
+    Parameters:
+     - strs - a string of space-delimited literals, or a collection of string literals
+     - caseless - (default=C{False}) - treat all literals as caseless
+     - useRegex - (default=C{True}) - as an optimization, will generate a Regex
+          object; otherwise, will generate a C{MatchFirst} object (if C{caseless=True}, or
+          if creating a C{Regex} raises an exception)
+
+    Example::
+        comp_oper = oneOf("< = > <= >= !=")
+        var = Word(alphas)
+        number = Word(nums)
+        term = var | number
+        comparison_expr = term + comp_oper + term
+        print(comparison_expr.searchString("B = 12  AA=23 B<=AA AA>12"))
+    prints::
+        [['B', '=', '12'], ['AA', '=', '23'], ['B', '<=', 'AA'], ['AA', '>', '12']]
+    """
+    if caseless:
+        isequal = ( lambda a,b: a.upper() == b.upper() )
+        masks = ( lambda a,b: b.upper().startswith(a.upper()) )
+        parseElementClass = CaselessLiteral
+    else:
+        isequal = ( lambda a,b: a == b )
+        masks = ( lambda a,b: b.startswith(a) )
+        parseElementClass = Literal
+
+    symbols = []
+    if isinstance(strs,basestring):
+        symbols = strs.split()
+    elif isinstance(strs, Iterable):
+        symbols = list(strs)
+    else:
+        warnings.warn("Invalid argument to oneOf, expected string or iterable",
+                SyntaxWarning, stacklevel=2)
+    if not symbols:
+        return NoMatch()
+
+    i = 0
+    while i < len(symbols)-1:
+        cur = symbols[i]
+        for j,other in enumerate(symbols[i+1:]):
+            if ( isequal(other, cur) ):
+                del symbols[i+j+1]
+                break
+            elif ( masks(cur, other) ):
+                del symbols[i+j+1]
+                symbols.insert(i,other)
+                cur = other
+                break
+        else:
+            i += 1
+
+    if not caseless and useRegex:
+        #~ print (strs,"->", "|".join( [ _escapeRegexChars(sym) for sym in symbols] ))
+        try:
+            if len(symbols)==len("".join(symbols)):
+                return Regex( "[%s]" % "".join(_escapeRegexRangeChars(sym) for sym in symbols) ).setName(' | '.join(symbols))
+            else:
+                return Regex( "|".join(re.escape(sym) for sym in symbols) ).setName(' | '.join(symbols))
+        except Exception:
+            warnings.warn("Exception creating Regex for oneOf, building MatchFirst",
+                    SyntaxWarning, stacklevel=2)
+
+
+    # last resort, just use MatchFirst
+    return MatchFirst(parseElementClass(sym) for sym in symbols).setName(' | '.join(symbols))
+
+def dictOf( key, value ):
+    """
+    Helper to easily and clearly define a dictionary by specifying the respective patterns
+    for the key and value.  Takes care of defining the C{L{Dict}}, C{L{ZeroOrMore}}, and C{L{Group}} tokens
+    in the proper order.  The key pattern can include delimiting markers or punctuation,
+    as long as they are suppressed, thereby leaving the significant key text.  The value
+    pattern can include named results, so that the C{Dict} results can include named token
+    fields.
+
+    Example::
+        text = "shape: SQUARE posn: upper left color: light blue texture: burlap"
+        attr_expr = (label + Suppress(':') + OneOrMore(data_word, stopOn=label).setParseAction(' '.join))
+        print(OneOrMore(attr_expr).parseString(text).dump())
+        
+        attr_label = label
+        attr_value = Suppress(':') + OneOrMore(data_word, stopOn=label).setParseAction(' '.join)
+
+        # similar to Dict, but simpler call format
+        result = dictOf(attr_label, attr_value).parseString(text)
+        print(result.dump())
+        print(result['shape'])
+        print(result.shape)  # object attribute access works too
+        print(result.asDict())
+    prints::
+        [['shape', 'SQUARE'], ['posn', 'upper left'], ['color', 'light blue'], ['texture', 'burlap']]
+        - color: light blue
+        - posn: upper left
+        - shape: SQUARE
+        - texture: burlap
+        SQUARE
+        SQUARE
+        {'color': 'light blue', 'shape': 'SQUARE', 'posn': 'upper left', 'texture': 'burlap'}
+    """
+    return Dict( ZeroOrMore( Group ( key + value ) ) )
+
+def originalTextFor(expr, asString=True):
+    """
+    Helper to return the original, untokenized text for a given expression.  Useful to
+    restore the parsed fields of an HTML start tag into the raw tag text itself, or to
+    revert separate tokens with intervening whitespace back to the original matching
+    input text. By default, returns astring containing the original parsed text.  
+       
+    If the optional C{asString} argument is passed as C{False}, then the return value is a 
+    C{L{ParseResults}} containing any results names that were originally matched, and a 
+    single token containing the original matched text from the input string.  So if 
+    the expression passed to C{L{originalTextFor}} contains expressions with defined
+    results names, you must set C{asString} to C{False} if you want to preserve those
+    results name values.
+
+    Example::
+        src = "this is test  bold text  normal text "
+        for tag in ("b","i"):
+            opener,closer = makeHTMLTags(tag)
+            patt = originalTextFor(opener + SkipTo(closer) + closer)
+            print(patt.searchString(src)[0])
+    prints::
+        [' bold text ']
+        ['text']
+    """
+    locMarker = Empty().setParseAction(lambda s,loc,t: loc)
+    endlocMarker = locMarker.copy()
+    endlocMarker.callPreparse = False
+    matchExpr = locMarker("_original_start") + expr + endlocMarker("_original_end")
+    if asString:
+        extractText = lambda s,l,t: s[t._original_start:t._original_end]
+    else:
+        def extractText(s,l,t):
+            t[:] = [s[t.pop('_original_start'):t.pop('_original_end')]]
+    matchExpr.setParseAction(extractText)
+    matchExpr.ignoreExprs = expr.ignoreExprs
+    return matchExpr
+
+def ungroup(expr): 
+    """
+    Helper to undo pyparsing's default grouping of And expressions, even
+    if all but one are non-empty.
+    """
+    return TokenConverter(expr).setParseAction(lambda t:t[0])
+
+def locatedExpr(expr):
+    """
+    Helper to decorate a returned token with its starting and ending locations in the input string.
+    This helper adds the following results names:
+     - locn_start = location where matched expression begins
+     - locn_end = location where matched expression ends
+     - value = the actual parsed results
+
+    Be careful if the input text contains C{} characters, you may want to call
+    C{L{ParserElement.parseWithTabs}}
+
+    Example::
+        wd = Word(alphas)
+        for match in locatedExpr(wd).searchString("ljsdf123lksdjjf123lkkjj1222"):
+            print(match)
+    prints::
+        [[0, 'ljsdf', 5]]
+        [[8, 'lksdjjf', 15]]
+        [[18, 'lkkjj', 23]]
+    """
+    locator = Empty().setParseAction(lambda s,l,t: l)
+    return Group(locator("locn_start") + expr("value") + locator.copy().leaveWhitespace()("locn_end"))
+
+
+# convenience constants for positional expressions
+empty       = Empty().setName("empty")
+lineStart   = LineStart().setName("lineStart")
+lineEnd     = LineEnd().setName("lineEnd")
+stringStart = StringStart().setName("stringStart")
+stringEnd   = StringEnd().setName("stringEnd")
+
+_escapedPunc = Word( _bslash, r"\[]-*.$+^?()~ ", exact=2 ).setParseAction(lambda s,l,t:t[0][1])
+_escapedHexChar = Regex(r"\\0?[xX][0-9a-fA-F]+").setParseAction(lambda s,l,t:unichr(int(t[0].lstrip(r'\0x'),16)))
+_escapedOctChar = Regex(r"\\0[0-7]+").setParseAction(lambda s,l,t:unichr(int(t[0][1:],8)))
+_singleChar = _escapedPunc | _escapedHexChar | _escapedOctChar | CharsNotIn(r'\]', exact=1)
+_charRange = Group(_singleChar + Suppress("-") + _singleChar)
+_reBracketExpr = Literal("[") + Optional("^").setResultsName("negate") + Group( OneOrMore( _charRange | _singleChar ) ).setResultsName("body") + "]"
+
+def srange(s):
+    r"""
+    Helper to easily define string ranges for use in Word construction.  Borrows
+    syntax from regexp '[]' string range definitions::
+        srange("[0-9]")   -> "0123456789"
+        srange("[a-z]")   -> "abcdefghijklmnopqrstuvwxyz"
+        srange("[a-z$_]") -> "abcdefghijklmnopqrstuvwxyz$_"
+    The input string must be enclosed in []'s, and the returned string is the expanded
+    character set joined into a single string.
+    The values enclosed in the []'s may be:
+     - a single character
+     - an escaped character with a leading backslash (such as C{\-} or C{\]})
+     - an escaped hex character with a leading C{'\x'} (C{\x21}, which is a C{'!'} character) 
+         (C{\0x##} is also supported for backwards compatibility) 
+     - an escaped octal character with a leading C{'\0'} (C{\041}, which is a C{'!'} character)
+     - a range of any of the above, separated by a dash (C{'a-z'}, etc.)
+     - any combination of the above (C{'aeiouy'}, C{'a-zA-Z0-9_$'}, etc.)
+    """
+    _expanded = lambda p: p if not isinstance(p,ParseResults) else ''.join(unichr(c) for c in range(ord(p[0]),ord(p[1])+1))
+    try:
+        return "".join(_expanded(part) for part in _reBracketExpr.parseString(s).body)
+    except Exception:
+        return ""
+
+def matchOnlyAtCol(n):
+    """
+    Helper method for defining parse actions that require matching at a specific
+    column in the input text.
+    """
+    def verifyCol(strg,locn,toks):
+        if col(locn,strg) != n:
+            raise ParseException(strg,locn,"matched token not at column %d" % n)
+    return verifyCol
+
+def replaceWith(replStr):
+    """
+    Helper method for common parse actions that simply return a literal value.  Especially
+    useful when used with C{L{transformString}()}.
+
+    Example::
+        num = Word(nums).setParseAction(lambda toks: int(toks[0]))
+        na = oneOf("N/A NA").setParseAction(replaceWith(math.nan))
+        term = na | num
+        
+        OneOrMore(term).parseString("324 234 N/A 234") # -> [324, 234, nan, 234]
+    """
+    return lambda s,l,t: [replStr]
+
+def removeQuotes(s,l,t):
+    """
+    Helper parse action for removing quotation marks from parsed quoted strings.
+
+    Example::
+        # by default, quotation marks are included in parsed results
+        quotedString.parseString("'Now is the Winter of our Discontent'") # -> ["'Now is the Winter of our Discontent'"]
+
+        # use removeQuotes to strip quotation marks from parsed results
+        quotedString.setParseAction(removeQuotes)
+        quotedString.parseString("'Now is the Winter of our Discontent'") # -> ["Now is the Winter of our Discontent"]
+    """
+    return t[0][1:-1]
+
+def tokenMap(func, *args):
+    """
+    Helper to define a parse action by mapping a function to all elements of a ParseResults list.If any additional 
+    args are passed, they are forwarded to the given function as additional arguments after
+    the token, as in C{hex_integer = Word(hexnums).setParseAction(tokenMap(int, 16))}, which will convert the
+    parsed data to an integer using base 16.
+
+    Example (compare the last to example in L{ParserElement.transformString}::
+        hex_ints = OneOrMore(Word(hexnums)).setParseAction(tokenMap(int, 16))
+        hex_ints.runTests('''
+            00 11 22 aa FF 0a 0d 1a
+            ''')
+        
+        upperword = Word(alphas).setParseAction(tokenMap(str.upper))
+        OneOrMore(upperword).runTests('''
+            my kingdom for a horse
+            ''')
+
+        wd = Word(alphas).setParseAction(tokenMap(str.title))
+        OneOrMore(wd).setParseAction(' '.join).runTests('''
+            now is the winter of our discontent made glorious summer by this sun of york
+            ''')
+    prints::
+        00 11 22 aa FF 0a 0d 1a
+        [0, 17, 34, 170, 255, 10, 13, 26]
+
+        my kingdom for a horse
+        ['MY', 'KINGDOM', 'FOR', 'A', 'HORSE']
+
+        now is the winter of our discontent made glorious summer by this sun of york
+        ['Now Is The Winter Of Our Discontent Made Glorious Summer By This Sun Of York']
+    """
+    def pa(s,l,t):
+        return [func(tokn, *args) for tokn in t]
+
+    try:
+        func_name = getattr(func, '__name__', 
+                            getattr(func, '__class__').__name__)
+    except Exception:
+        func_name = str(func)
+    pa.__name__ = func_name
+
+    return pa
+
+upcaseTokens = tokenMap(lambda t: _ustr(t).upper())
+"""(Deprecated) Helper parse action to convert tokens to upper case. Deprecated in favor of L{pyparsing_common.upcaseTokens}"""
+
+downcaseTokens = tokenMap(lambda t: _ustr(t).lower())
+"""(Deprecated) Helper parse action to convert tokens to lower case. Deprecated in favor of L{pyparsing_common.downcaseTokens}"""
+    
+def _makeTags(tagStr, xml):
+    """Internal helper to construct opening and closing tag expressions, given a tag name"""
+    if isinstance(tagStr,basestring):
+        resname = tagStr
+        tagStr = Keyword(tagStr, caseless=not xml)
+    else:
+        resname = tagStr.name
+
+    tagAttrName = Word(alphas,alphanums+"_-:")
+    if (xml):
+        tagAttrValue = dblQuotedString.copy().setParseAction( removeQuotes )
+        openTag = Suppress("<") + tagStr("tag") + \
+                Dict(ZeroOrMore(Group( tagAttrName + Suppress("=") + tagAttrValue ))) + \
+                Optional("/",default=[False]).setResultsName("empty").setParseAction(lambda s,l,t:t[0]=='/') + Suppress(">")
+    else:
+        printablesLessRAbrack = "".join(c for c in printables if c not in ">")
+        tagAttrValue = quotedString.copy().setParseAction( removeQuotes ) | Word(printablesLessRAbrack)
+        openTag = Suppress("<") + tagStr("tag") + \
+                Dict(ZeroOrMore(Group( tagAttrName.setParseAction(downcaseTokens) + \
+                Optional( Suppress("=") + tagAttrValue ) ))) + \
+                Optional("/",default=[False]).setResultsName("empty").setParseAction(lambda s,l,t:t[0]=='/') + Suppress(">")
+    closeTag = Combine(_L("")
+
+    openTag = openTag.setResultsName("start"+"".join(resname.replace(":"," ").title().split())).setName("<%s>" % resname)
+    closeTag = closeTag.setResultsName("end"+"".join(resname.replace(":"," ").title().split())).setName("" % resname)
+    openTag.tag = resname
+    closeTag.tag = resname
+    return openTag, closeTag
+
+def makeHTMLTags(tagStr):
+    """
+    Helper to construct opening and closing tag expressions for HTML, given a tag name. Matches
+    tags in either upper or lower case, attributes with namespaces and with quoted or unquoted values.
+
+    Example::
+        text = 'More info at the pyparsing wiki page'
+        # makeHTMLTags returns pyparsing expressions for the opening and closing tags as a 2-tuple
+        a,a_end = makeHTMLTags("A")
+        link_expr = a + SkipTo(a_end)("link_text") + a_end
+        
+        for link in link_expr.searchString(text):
+            # attributes in the  tag (like "href" shown here) are also accessible as named results
+            print(link.link_text, '->', link.href)
+    prints::
+        pyparsing -> http://pyparsing.wikispaces.com
+    """
+    return _makeTags( tagStr, False )
+
+def makeXMLTags(tagStr):
+    """
+    Helper to construct opening and closing tag expressions for XML, given a tag name. Matches
+    tags only in the given upper/lower case.
+
+    Example: similar to L{makeHTMLTags}
+    """
+    return _makeTags( tagStr, True )
+
+def withAttribute(*args,**attrDict):
+    """
+    Helper to create a validating parse action to be used with start tags created
+    with C{L{makeXMLTags}} or C{L{makeHTMLTags}}. Use C{withAttribute} to qualify a starting tag
+    with a required attribute value, to avoid false matches on common tags such as
+    C{} or C{
}.
+
+    Call C{withAttribute} with a series of attribute names and values. Specify the list
+    of filter attributes names and values as:
+     - keyword arguments, as in C{(align="right")}, or
+     - as an explicit dict with C{**} operator, when an attribute name is also a Python
+          reserved word, as in C{**{"class":"Customer", "align":"right"}}
+     - a list of name-value tuples, as in ( ("ns1:class", "Customer"), ("ns2:align","right") )
+    For attribute names with a namespace prefix, you must use the second form.  Attribute
+    names are matched insensitive to upper/lower case.
+       
+    If just testing for C{class} (with or without a namespace), use C{L{withClass}}.
+
+    To verify that the attribute exists, but without specifying a value, pass
+    C{withAttribute.ANY_VALUE} as the value.
+
+    Example::
+        html = '''
+            

+            Some text
+            
1 4 0 1 0

+            
1,3 2,3 1,1

+            
this has no type

+            

+                
+        '''
+        div,div_end = makeHTMLTags("div")
+
+        # only match div tag having a type attribute with value "grid"
+        div_grid = div().setParseAction(withAttribute(type="grid"))
+        grid_expr = div_grid + SkipTo(div | div_end)("body")
+        for grid_header in grid_expr.searchString(html):
+            print(grid_header.body)
+        
+        # construct a match with any div tag having a type attribute, regardless of the value
+        div_any_type = div().setParseAction(withAttribute(type=withAttribute.ANY_VALUE))
+        div_expr = div_any_type + SkipTo(div | div_end)("body")
+        for div_header in div_expr.searchString(html):
+            print(div_header.body)
+    prints::
+        1 4 0 1 0
+
+        1 4 0 1 0
+        1,3 2,3 1,1
+    """
+    if args:
+        attrs = args[:]
+    else:
+        attrs = attrDict.items()
+    attrs = [(k,v) for k,v in attrs]
+    def pa(s,l,tokens):
+        for attrName,attrValue in attrs:
+            if attrName not in tokens:
+                raise ParseException(s,l,"no matching attribute " + attrName)
+            if attrValue != withAttribute.ANY_VALUE and tokens[attrName] != attrValue:
+                raise ParseException(s,l,"attribute '%s' has value '%s', must be '%s'" %
+                                            (attrName, tokens[attrName], attrValue))
+    return pa
+withAttribute.ANY_VALUE = object()
+
+def withClass(classname, namespace=''):
+    """
+    Simplified version of C{L{withAttribute}} when matching on a div class - made
+    difficult because C{class} is a reserved word in Python.
+
+    Example::
+        html = '''
+            

+            Some text
+            
1 4 0 1 0

+            
1,3 2,3 1,1

+            
this <div> has no class

+            

+                
+        '''
+        div,div_end = makeHTMLTags("div")
+        div_grid = div().setParseAction(withClass("grid"))
+        
+        grid_expr = div_grid + SkipTo(div | div_end)("body")
+        for grid_header in grid_expr.searchString(html):
+            print(grid_header.body)
+        
+        div_any_type = div().setParseAction(withClass(withAttribute.ANY_VALUE))
+        div_expr = div_any_type + SkipTo(div | div_end)("body")
+        for div_header in div_expr.searchString(html):
+            print(div_header.body)
+    prints::
+        1 4 0 1 0
+
+        1 4 0 1 0
+        1,3 2,3 1,1
+    """
+    classattr = "%s:class" % namespace if namespace else "class"
+    return withAttribute(**{classattr : classname})        
+
+opAssoc = _Constants()
+opAssoc.LEFT = object()
+opAssoc.RIGHT = object()
+
+def infixNotation( baseExpr, opList, lpar=Suppress('('), rpar=Suppress(')') ):
+    """
+    Helper method for constructing grammars of expressions made up of
+    operators working in a precedence hierarchy.  Operators may be unary or
+    binary, left- or right-associative.  Parse actions can also be attached
+    to operator expressions. The generated parser will also recognize the use 
+    of parentheses to override operator precedences (see example below).
+    
+    Note: if you define a deep operator list, you may see performance issues
+    when using infixNotation. See L{ParserElement.enablePackrat} for a
+    mechanism to potentially improve your parser performance.
+
+    Parameters:
+     - baseExpr - expression representing the most basic element for the nested
+     - opList - list of tuples, one for each operator precedence level in the
+      expression grammar; each tuple is of the form
+      (opExpr, numTerms, rightLeftAssoc, parseAction), where:
+       - opExpr is the pyparsing expression for the operator;
+          may also be a string, which will be converted to a Literal;
+          if numTerms is 3, opExpr is a tuple of two expressions, for the
+          two operators separating the 3 terms
+       - numTerms is the number of terms for this operator (must
+          be 1, 2, or 3)
+       - rightLeftAssoc is the indicator whether the operator is
+          right or left associative, using the pyparsing-defined
+          constants C{opAssoc.RIGHT} and C{opAssoc.LEFT}.
+       - parseAction is the parse action to be associated with
+          expressions matching this operator expression (the
+          parse action tuple member may be omitted); if the parse action
+          is passed a tuple or list of functions, this is equivalent to
+          calling C{setParseAction(*fn)} (L{ParserElement.setParseAction})
+     - lpar - expression for matching left-parentheses (default=C{Suppress('(')})
+     - rpar - expression for matching right-parentheses (default=C{Suppress(')')})
+
+    Example::
+        # simple example of four-function arithmetic with ints and variable names
+        integer = pyparsing_common.signed_integer
+        varname = pyparsing_common.identifier 
+        
+        arith_expr = infixNotation(integer | varname,
+            [
+            ('-', 1, opAssoc.RIGHT),
+            (oneOf('* /'), 2, opAssoc.LEFT),
+            (oneOf('+ -'), 2, opAssoc.LEFT),
+            ])
+        
+        arith_expr.runTests('''
+            5+3*6
+            (5+3)*6
+            -2--11
+            ''', fullDump=False)
+    prints::
+        5+3*6
+        [[5, '+', [3, '*', 6]]]
+
+        (5+3)*6
+        [[[5, '+', 3], '*', 6]]
+
+        -2--11
+        [[['-', 2], '-', ['-', 11]]]
+    """
+    ret = Forward()
+    lastExpr = baseExpr | ( lpar + ret + rpar )
+    for i,operDef in enumerate(opList):
+        opExpr,arity,rightLeftAssoc,pa = (operDef + (None,))[:4]
+        termName = "%s term" % opExpr if arity < 3 else "%s%s term" % opExpr
+        if arity == 3:
+            if opExpr is None or len(opExpr) != 2:
+                raise ValueError("if numterms=3, opExpr must be a tuple or list of two expressions")
+            opExpr1, opExpr2 = opExpr
+        thisExpr = Forward().setName(termName)
+        if rightLeftAssoc == opAssoc.LEFT:
+            if arity == 1:
+                matchExpr = FollowedBy(lastExpr + opExpr) + Group( lastExpr + OneOrMore( opExpr ) )
+            elif arity == 2:
+                if opExpr is not None:
+                    matchExpr = FollowedBy(lastExpr + opExpr + lastExpr) + Group( lastExpr + OneOrMore( opExpr + lastExpr ) )
+                else:
+                    matchExpr = FollowedBy(lastExpr+lastExpr) + Group( lastExpr + OneOrMore(lastExpr) )
+            elif arity == 3:
+                matchExpr = FollowedBy(lastExpr + opExpr1 + lastExpr + opExpr2 + lastExpr) + \
+                            Group( lastExpr + opExpr1 + lastExpr + opExpr2 + lastExpr )
+            else:
+                raise ValueError("operator must be unary (1), binary (2), or ternary (3)")
+        elif rightLeftAssoc == opAssoc.RIGHT:
+            if arity == 1:
+                # try to avoid LR with this extra test
+                if not isinstance(opExpr, Optional):
+                    opExpr = Optional(opExpr)
+                matchExpr = FollowedBy(opExpr.expr + thisExpr) + Group( opExpr + thisExpr )
+            elif arity == 2:
+                if opExpr is not None:
+                    matchExpr = FollowedBy(lastExpr + opExpr + thisExpr) + Group( lastExpr + OneOrMore( opExpr + thisExpr ) )
+                else:
+                    matchExpr = FollowedBy(lastExpr + thisExpr) + Group( lastExpr + OneOrMore( thisExpr ) )
+            elif arity == 3:
+                matchExpr = FollowedBy(lastExpr + opExpr1 + thisExpr + opExpr2 + thisExpr) + \
+                            Group( lastExpr + opExpr1 + thisExpr + opExpr2 + thisExpr )
+            else:
+                raise ValueError("operator must be unary (1), binary (2), or ternary (3)")
+        else:
+            raise ValueError("operator must indicate right or left associativity")
+        if pa:
+            if isinstance(pa, (tuple, list)):
+                matchExpr.setParseAction(*pa)
+            else:
+                matchExpr.setParseAction(pa)
+        thisExpr <<= ( matchExpr.setName(termName) | lastExpr )
+        lastExpr = thisExpr
+    ret <<= lastExpr
+    return ret
+
+operatorPrecedence = infixNotation
+"""(Deprecated) Former name of C{L{infixNotation}}, will be dropped in a future release."""
+
+dblQuotedString = Combine(Regex(r'"(?:[^"\n\r\\]|(?:"")|(?:\\(?:[^x]|x[0-9a-fA-F]+)))*')+'"').setName("string enclosed in double quotes")
+sglQuotedString = Combine(Regex(r"'(?:[^'\n\r\\]|(?:'')|(?:\\(?:[^x]|x[0-9a-fA-F]+)))*")+"'").setName("string enclosed in single quotes")
+quotedString = Combine(Regex(r'"(?:[^"\n\r\\]|(?:"")|(?:\\(?:[^x]|x[0-9a-fA-F]+)))*')+'"'|
+                       Regex(r"'(?:[^'\n\r\\]|(?:'')|(?:\\(?:[^x]|x[0-9a-fA-F]+)))*")+"'").setName("quotedString using single or double quotes")
+unicodeString = Combine(_L('u') + quotedString.copy()).setName("unicode string literal")
+
+def nestedExpr(opener="(", closer=")", content=None, ignoreExpr=quotedString.copy()):
+    """
+    Helper method for defining nested lists enclosed in opening and closing
+    delimiters ("(" and ")" are the default).
+
+    Parameters:
+     - opener - opening character for a nested list (default=C{"("}); can also be a pyparsing expression
+     - closer - closing character for a nested list (default=C{")"}); can also be a pyparsing expression
+     - content - expression for items within the nested lists (default=C{None})
+     - ignoreExpr - expression for ignoring opening and closing delimiters (default=C{quotedString})
+
+    If an expression is not provided for the content argument, the nested
+    expression will capture all whitespace-delimited content between delimiters
+    as a list of separate values.
+
+    Use the C{ignoreExpr} argument to define expressions that may contain
+    opening or closing characters that should not be treated as opening
+    or closing characters for nesting, such as quotedString or a comment
+    expression.  Specify multiple expressions using an C{L{Or}} or C{L{MatchFirst}}.
+    The default is L{quotedString}, but if no expressions are to be ignored,
+    then pass C{None} for this argument.
+
+    Example::
+        data_type = oneOf("void int short long char float double")
+        decl_data_type = Combine(data_type + Optional(Word('*')))
+        ident = Word(alphas+'_', alphanums+'_')
+        number = pyparsing_common.number
+        arg = Group(decl_data_type + ident)
+        LPAR,RPAR = map(Suppress, "()")
+
+        code_body = nestedExpr('{', '}', ignoreExpr=(quotedString | cStyleComment))
+
+        c_function = (decl_data_type("type") 
+                      + ident("name")
+                      + LPAR + Optional(delimitedList(arg), [])("args") + RPAR 
+                      + code_body("body"))
+        c_function.ignore(cStyleComment)
+        
+        source_code = '''
+            int is_odd(int x) { 
+                return (x%2); 
+            }
+                
+            int dec_to_hex(char hchar) { 
+                if (hchar >= '0' && hchar <= '9') { 
+                    return (ord(hchar)-ord('0')); 
+                } else { 
+                    return (10+ord(hchar)-ord('A'));
+                } 
+            }
+        '''
+        for func in c_function.searchString(source_code):
+            print("%(name)s (%(type)s) args: %(args)s" % func)
+
+    prints::
+        is_odd (int) args: [['int', 'x']]
+        dec_to_hex (int) args: [['char', 'hchar']]
+    """
+    if opener == closer:
+        raise ValueError("opening and closing strings cannot be the same")
+    if content is None:
+        if isinstance(opener,basestring) and isinstance(closer,basestring):
+            if len(opener) == 1 and len(closer)==1:
+                if ignoreExpr is not None:
+                    content = (Combine(OneOrMore(~ignoreExpr +
+                                    CharsNotIn(opener+closer+ParserElement.DEFAULT_WHITE_CHARS,exact=1))
+                                ).setParseAction(lambda t:t[0].strip()))
+                else:
+                    content = (empty.copy()+CharsNotIn(opener+closer+ParserElement.DEFAULT_WHITE_CHARS
+                                ).setParseAction(lambda t:t[0].strip()))
+            else:
+                if ignoreExpr is not None:
+                    content = (Combine(OneOrMore(~ignoreExpr + 
+                                    ~Literal(opener) + ~Literal(closer) +
+                                    CharsNotIn(ParserElement.DEFAULT_WHITE_CHARS,exact=1))
+                                ).setParseAction(lambda t:t[0].strip()))
+                else:
+                    content = (Combine(OneOrMore(~Literal(opener) + ~Literal(closer) +
+                                    CharsNotIn(ParserElement.DEFAULT_WHITE_CHARS,exact=1))
+                                ).setParseAction(lambda t:t[0].strip()))
+        else:
+            raise ValueError("opening and closing arguments must be strings if no content expression is given")
+    ret = Forward()
+    if ignoreExpr is not None:
+        ret <<= Group( Suppress(opener) + ZeroOrMore( ignoreExpr | ret | content ) + Suppress(closer) )
+    else:
+        ret <<= Group( Suppress(opener) + ZeroOrMore( ret | content )  + Suppress(closer) )
+    ret.setName('nested %s%s expression' % (opener,closer))
+    return ret
+
+def indentedBlock(blockStatementExpr, indentStack, indent=True):
+    """
+    Helper method for defining space-delimited indentation blocks, such as
+    those used to define block statements in Python source code.
+
+    Parameters:
+     - blockStatementExpr - expression defining syntax of statement that
+            is repeated within the indented block
+     - indentStack - list created by caller to manage indentation stack
+            (multiple statementWithIndentedBlock expressions within a single grammar
+            should share a common indentStack)
+     - indent - boolean indicating whether block must be indented beyond the
+            the current level; set to False for block of left-most statements
+            (default=C{True})
+
+    A valid block must contain at least one C{blockStatement}.
+
+    Example::
+        data = '''
+        def A(z):
+          A1
+          B = 100
+          G = A2
+          A2
+          A3
+        B
+        def BB(a,b,c):
+          BB1
+          def BBA():
+            bba1
+            bba2
+            bba3
+        C
+        D
+        def spam(x,y):
+             def eggs(z):
+                 pass
+        '''
+
+
+        indentStack = [1]
+        stmt = Forward()
+
+        identifier = Word(alphas, alphanums)
+        funcDecl = ("def" + identifier + Group( "(" + Optional( delimitedList(identifier) ) + ")" ) + ":")
+        func_body = indentedBlock(stmt, indentStack)
+        funcDef = Group( funcDecl + func_body )
+
+        rvalue = Forward()
+        funcCall = Group(identifier + "(" + Optional(delimitedList(rvalue)) + ")")
+        rvalue << (funcCall | identifier | Word(nums))
+        assignment = Group(identifier + "=" + rvalue)
+        stmt << ( funcDef | assignment | identifier )
+
+        module_body = OneOrMore(stmt)
+
+        parseTree = module_body.parseString(data)
+        parseTree.pprint()
+    prints::
+        [['def',
+          'A',
+          ['(', 'z', ')'],
+          ':',
+          [['A1'], [['B', '=', '100']], [['G', '=', 'A2']], ['A2'], ['A3']]],
+         'B',
+         ['def',
+          'BB',
+          ['(', 'a', 'b', 'c', ')'],
+          ':',
+          [['BB1'], [['def', 'BBA', ['(', ')'], ':', [['bba1'], ['bba2'], ['bba3']]]]]],
+         'C',
+         'D',
+         ['def',
+          'spam',
+          ['(', 'x', 'y', ')'],
+          ':',
+          [[['def', 'eggs', ['(', 'z', ')'], ':', [['pass']]]]]]] 
+    """
+    def checkPeerIndent(s,l,t):
+        if l >= len(s): return
+        curCol = col(l,s)
+        if curCol != indentStack[-1]:
+            if curCol > indentStack[-1]:
+                raise ParseFatalException(s,l,"illegal nesting")
+            raise ParseException(s,l,"not a peer entry")
+
+    def checkSubIndent(s,l,t):
+        curCol = col(l,s)
+        if curCol > indentStack[-1]:
+            indentStack.append( curCol )
+        else:
+            raise ParseException(s,l,"not a subentry")
+
+    def checkUnindent(s,l,t):
+        if l >= len(s): return
+        curCol = col(l,s)
+        if not(indentStack and curCol < indentStack[-1] and curCol <= indentStack[-2]):
+            raise ParseException(s,l,"not an unindent")
+        indentStack.pop()
+
+    NL = OneOrMore(LineEnd().setWhitespaceChars("\t ").suppress())
+    INDENT = (Empty() + Empty().setParseAction(checkSubIndent)).setName('INDENT')
+    PEER   = Empty().setParseAction(checkPeerIndent).setName('')
+    UNDENT = Empty().setParseAction(checkUnindent).setName('UNINDENT')
+    if indent:
+        smExpr = Group( Optional(NL) +
+            #~ FollowedBy(blockStatementExpr) +
+            INDENT + (OneOrMore( PEER + Group(blockStatementExpr) + Optional(NL) )) + UNDENT)
+    else:
+        smExpr = Group( Optional(NL) +
+            (OneOrMore( PEER + Group(blockStatementExpr) + Optional(NL) )) )
+    blockStatementExpr.ignore(_bslash + LineEnd())
+    return smExpr.setName('indented block')
+
+alphas8bit = srange(r"[\0xc0-\0xd6\0xd8-\0xf6\0xf8-\0xff]")
+punc8bit = srange(r"[\0xa1-\0xbf\0xd7\0xf7]")
+
+anyOpenTag,anyCloseTag = makeHTMLTags(Word(alphas,alphanums+"_:").setName('any tag'))
+_htmlEntityMap = dict(zip("gt lt amp nbsp quot apos".split(),'><& "\''))
+commonHTMLEntity = Regex('&(?P' + '|'.join(_htmlEntityMap.keys()) +");").setName("common HTML entity")
+def replaceHTMLEntity(t):
+    """Helper parser action to replace common HTML entities with their special characters"""
+    return _htmlEntityMap.get(t.entity)
+
+# it's easy to get these comment structures wrong - they're very common, so may as well make them available
+cStyleComment = Combine(Regex(r"/\*(?:[^*]|\*(?!/))*") + '*/').setName("C style comment")
+"Comment of the form C{/* ... */}"
+
+htmlComment = Regex(r"").setName("HTML comment")
+"Comment of the form C{}"
+
+restOfLine = Regex(r".*").leaveWhitespace().setName("rest of line")
+dblSlashComment = Regex(r"//(?:\\\n|[^\n])*").setName("// comment")
+"Comment of the form C{// ... (to end of line)}"
+
+cppStyleComment = Combine(Regex(r"/\*(?:[^*]|\*(?!/))*") + '*/'| dblSlashComment).setName("C++ style comment")
+"Comment of either form C{L{cStyleComment}} or C{L{dblSlashComment}}"
+
+javaStyleComment = cppStyleComment
+"Same as C{L{cppStyleComment}}"
+
+pythonStyleComment = Regex(r"#.*").setName("Python style comment")
+"Comment of the form C{# ... (to end of line)}"
+
+_commasepitem = Combine(OneOrMore(Word(printables, excludeChars=',') +
+                                  Optional( Word(" \t") +
+                                            ~Literal(",") + ~LineEnd() ) ) ).streamline().setName("commaItem")
+commaSeparatedList = delimitedList( Optional( quotedString.copy() | _commasepitem, default="") ).setName("commaSeparatedList")
+"""(Deprecated) Predefined expression of 1 or more printable words or quoted strings, separated by commas.
+   This expression is deprecated in favor of L{pyparsing_common.comma_separated_list}."""
+
+# some other useful expressions - using lower-case class name since we are really using this as a namespace
+class pyparsing_common:
+    """
+    Here are some common low-level expressions that may be useful in jump-starting parser development:
+     - numeric forms (L{integers}, L{reals}, L{scientific notation})
+     - common L{programming identifiers}
+     - network addresses (L{MAC}, L{IPv4}, L{IPv6})
+     - ISO8601 L{dates} and L{datetime}
+     - L{UUID}
+     - L{comma-separated list}
+    Parse actions:
+     - C{L{convertToInteger}}
+     - C{L{convertToFloat}}
+     - C{L{convertToDate}}
+     - C{L{convertToDatetime}}
+     - C{L{stripHTMLTags}}
+     - C{L{upcaseTokens}}
+     - C{L{downcaseTokens}}
+
+    Example::
+        pyparsing_common.number.runTests('''
+            # any int or real number, returned as the appropriate type
+            100
+            -100
+            +100
+            3.14159
+            6.02e23
+            1e-12
+            ''')
+
+        pyparsing_common.fnumber.runTests('''
+            # any int or real number, returned as float
+            100
+            -100
+            +100
+            3.14159
+            6.02e23
+            1e-12
+            ''')
+
+        pyparsing_common.hex_integer.runTests('''
+            # hex numbers
+            100
+            FF
+            ''')
+
+        pyparsing_common.fraction.runTests('''
+            # fractions
+            1/2
+            -3/4
+            ''')
+
+        pyparsing_common.mixed_integer.runTests('''
+            # mixed fractions
+            1
+            1/2
+            -3/4
+            1-3/4
+            ''')
+
+        import uuid
+        pyparsing_common.uuid.setParseAction(tokenMap(uuid.UUID))
+        pyparsing_common.uuid.runTests('''
+            # uuid
+            12345678-1234-5678-1234-567812345678
+            ''')
+    prints::
+        # any int or real number, returned as the appropriate type
+        100
+        [100]
+
+        -100
+        [-100]
+
+        +100
+        [100]
+
+        3.14159
+        [3.14159]
+
+        6.02e23
+        [6.02e+23]
+
+        1e-12
+        [1e-12]
+
+        # any int or real number, returned as float
+        100
+        [100.0]
+
+        -100
+        [-100.0]
+
+        +100
+        [100.0]
+
+        3.14159
+        [3.14159]
+
+        6.02e23
+        [6.02e+23]
+
+        1e-12
+        [1e-12]
+
+        # hex numbers
+        100
+        [256]
+
+        FF
+        [255]
+
+        # fractions
+        1/2
+        [0.5]
+
+        -3/4
+        [-0.75]
+
+        # mixed fractions
+        1
+        [1]
+
+        1/2
+        [0.5]
+
+        -3/4
+        [-0.75]
+
+        1-3/4
+        [1.75]
+
+        # uuid
+        12345678-1234-5678-1234-567812345678
+        [UUID('12345678-1234-5678-1234-567812345678')]
+    """
+
+    convertToInteger = tokenMap(int)
+    """
+    Parse action for converting parsed integers to Python int
+    """
+
+    convertToFloat = tokenMap(float)
+    """
+    Parse action for converting parsed numbers to Python float
+    """
+
+    integer = Word(nums).setName("integer").setParseAction(convertToInteger)
+    """expression that parses an unsigned integer, returns an int"""
+
+    hex_integer = Word(hexnums).setName("hex integer").setParseAction(tokenMap(int,16))
+    """expression that parses a hexadecimal integer, returns an int"""
+
+    signed_integer = Regex(r'[+-]?\d+').setName("signed integer").setParseAction(convertToInteger)
+    """expression that parses an integer with optional leading sign, returns an int"""
+
+    fraction = (signed_integer().setParseAction(convertToFloat) + '/' + signed_integer().setParseAction(convertToFloat)).setName("fraction")
+    """fractional expression of an integer divided by an integer, returns a float"""
+    fraction.addParseAction(lambda t: t[0]/t[-1])
+
+    mixed_integer = (fraction | signed_integer + Optional(Optional('-').suppress() + fraction)).setName("fraction or mixed integer-fraction")
+    """mixed integer of the form 'integer - fraction', with optional leading integer, returns float"""
+    mixed_integer.addParseAction(sum)
+
+    real = Regex(r'[+-]?\d+\.\d*').setName("real number").setParseAction(convertToFloat)
+    """expression that parses a floating point number and returns a float"""
+
+    sci_real = Regex(r'[+-]?\d+([eE][+-]?\d+|\.\d*([eE][+-]?\d+)?)').setName("real number with scientific notation").setParseAction(convertToFloat)
+    """expression that parses a floating point number with optional scientific notation and returns a float"""
+
+    # streamlining this expression makes the docs nicer-looking
+    number = (sci_real | real | signed_integer).streamline()
+    """any numeric expression, returns the corresponding Python type"""
+
+    fnumber = Regex(r'[+-]?\d+\.?\d*([eE][+-]?\d+)?').setName("fnumber").setParseAction(convertToFloat)
+    """any int or real number, returned as float"""
+    
+    identifier = Word(alphas+'_', alphanums+'_').setName("identifier")
+    """typical code identifier (leading alpha or '_', followed by 0 or more alphas, nums, or '_')"""
+    
+    ipv4_address = Regex(r'(25[0-5]|2[0-4][0-9]|1?[0-9]{1,2})(\.(25[0-5]|2[0-4][0-9]|1?[0-9]{1,2})){3}').setName("IPv4 address")
+    "IPv4 address (C{0.0.0.0 - 255.255.255.255})"
+
+    _ipv6_part = Regex(r'[0-9a-fA-F]{1,4}').setName("hex_integer")
+    _full_ipv6_address = (_ipv6_part + (':' + _ipv6_part)*7).setName("full IPv6 address")
+    _short_ipv6_address = (Optional(_ipv6_part + (':' + _ipv6_part)*(0,6)) + "::" + Optional(_ipv6_part + (':' + _ipv6_part)*(0,6))).setName("short IPv6 address")
+    _short_ipv6_address.addCondition(lambda t: sum(1 for tt in t if pyparsing_common._ipv6_part.matches(tt)) < 8)
+    _mixed_ipv6_address = ("::ffff:" + ipv4_address).setName("mixed IPv6 address")
+    ipv6_address = Combine((_full_ipv6_address | _mixed_ipv6_address | _short_ipv6_address).setName("IPv6 address")).setName("IPv6 address")
+    "IPv6 address (long, short, or mixed form)"
+    
+    mac_address = Regex(r'[0-9a-fA-F]{2}([:.-])[0-9a-fA-F]{2}(?:\1[0-9a-fA-F]{2}){4}').setName("MAC address")
+    "MAC address xx:xx:xx:xx:xx (may also have '-' or '.' delimiters)"
+
+    @staticmethod
+    def convertToDate(fmt="%Y-%m-%d"):
+        """
+        Helper to create a parse action for converting parsed date string to Python datetime.date
+
+        Params -
+         - fmt - format to be passed to datetime.strptime (default=C{"%Y-%m-%d"})
+
+        Example::
+            date_expr = pyparsing_common.iso8601_date.copy()
+            date_expr.setParseAction(pyparsing_common.convertToDate())
+            print(date_expr.parseString("1999-12-31"))
+        prints::
+            [datetime.date(1999, 12, 31)]
+        """
+        def cvt_fn(s,l,t):
+            try:
+                return datetime.strptime(t[0], fmt).date()
+            except ValueError as ve:
+                raise ParseException(s, l, str(ve))
+        return cvt_fn
+
+    @staticmethod
+    def convertToDatetime(fmt="%Y-%m-%dT%H:%M:%S.%f"):
+        """
+        Helper to create a parse action for converting parsed datetime string to Python datetime.datetime
+
+        Params -
+         - fmt - format to be passed to datetime.strptime (default=C{"%Y-%m-%dT%H:%M:%S.%f"})
+
+        Example::
+            dt_expr = pyparsing_common.iso8601_datetime.copy()
+            dt_expr.setParseAction(pyparsing_common.convertToDatetime())
+            print(dt_expr.parseString("1999-12-31T23:59:59.999"))
+        prints::
+            [datetime.datetime(1999, 12, 31, 23, 59, 59, 999000)]
+        """
+        def cvt_fn(s,l,t):
+            try:
+                return datetime.strptime(t[0], fmt)
+            except ValueError as ve:
+                raise ParseException(s, l, str(ve))
+        return cvt_fn
+
+    iso8601_date = Regex(r'(?P\d{4})(?:-(?P\d\d)(?:-(?P\d\d))?)?').setName("ISO8601 date")
+    "ISO8601 date (C{yyyy-mm-dd})"
+
+    iso8601_datetime = Regex(r'(?P\d{4})-(?P\d\d)-(?P\d\d)[T ](?P\d\d):(?P\d\d)(:(?P\d\d(\.\d*)?)?)?(?PZ|[+-]\d\d:?\d\d)?').setName("ISO8601 datetime")
+    "ISO8601 datetime (C{yyyy-mm-ddThh:mm:ss.s(Z|+-00:00)}) - trailing seconds, milliseconds, and timezone optional; accepts separating C{'T'} or C{' '}"
+
+    uuid = Regex(r'[0-9a-fA-F]{8}(-[0-9a-fA-F]{4}){3}-[0-9a-fA-F]{12}').setName("UUID")
+    "UUID (C{xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx})"
+
+    _html_stripper = anyOpenTag.suppress() | anyCloseTag.suppress()
+    @staticmethod
+    def stripHTMLTags(s, l, tokens):
+        """
+        Parse action to remove HTML tags from web page HTML source
+
+        Example::
+            # strip HTML links from normal text 
+            text = 'More info at the pyparsing wiki page'
+            td,td_end = makeHTMLTags("TD")
+            table_text = td + SkipTo(td_end).setParseAction(pyparsing_common.stripHTMLTags)("body") + td_end
+            
+            print(table_text.parseString(text).body) # -> 'More info at the pyparsing wiki page'
+        """
+        return pyparsing_common._html_stripper.transformString(tokens[0])
+
+    _commasepitem = Combine(OneOrMore(~Literal(",") + ~LineEnd() + Word(printables, excludeChars=',') 
+                                        + Optional( White(" \t") ) ) ).streamline().setName("commaItem")
+    comma_separated_list = delimitedList( Optional( quotedString.copy() | _commasepitem, default="") ).setName("comma separated list")
+    """Predefined expression of 1 or more printable words or quoted strings, separated by commas."""
+
+    upcaseTokens = staticmethod(tokenMap(lambda t: _ustr(t).upper()))
+    """Parse action to convert tokens to upper case."""
+
+    downcaseTokens = staticmethod(tokenMap(lambda t: _ustr(t).lower()))
+    """Parse action to convert tokens to lower case."""
+
+
+if __name__ == "__main__":
+
+    selectToken    = CaselessLiteral("select")
+    fromToken      = CaselessLiteral("from")
+
+    ident          = Word(alphas, alphanums + "_$")
+
+    columnName     = delimitedList(ident, ".", combine=True).setParseAction(upcaseTokens)
+    columnNameList = Group(delimitedList(columnName)).setName("columns")
+    columnSpec     = ('*' | columnNameList)
+
+    tableName      = delimitedList(ident, ".", combine=True).setParseAction(upcaseTokens)
+    tableNameList  = Group(delimitedList(tableName)).setName("tables")
+    
+    simpleSQL      = selectToken("command") + columnSpec("columns") + fromToken + tableNameList("tables")
+
+    # demo runTests method, including embedded comments in test string
+    simpleSQL.runTests("""
+        # '*' as column list and dotted table name
+        select * from SYS.XYZZY
+
+        # caseless match on "SELECT", and casts back to "select"
+        SELECT * from XYZZY, ABC
+
+        # list of column names, and mixed case SELECT keyword
+        Select AA,BB,CC from Sys.dual
+
+        # multiple tables
+        Select A, B, C from Sys.dual, Table2
+
+        # invalid SELECT keyword - should fail
+        Xelect A, B, C from Sys.dual
+
+        # incomplete command - should fail
+        Select
+
+        # invalid column name - should fail
+        Select ^^^ frox Sys.dual
+
+        """)
+
+    pyparsing_common.number.runTests("""
+        100
+        -100
+        +100
+        3.14159
+        6.02e23
+        1e-12
+        """)
+
+    # any int or real number, returned as float
+    pyparsing_common.fnumber.runTests("""
+        100
+        -100
+        +100
+        3.14159
+        6.02e23
+        1e-12
+        """)
+
+    pyparsing_common.hex_integer.runTests("""
+        100
+        FF
+        """)
+
+    import uuid
+    pyparsing_common.uuid.setParseAction(tokenMap(uuid.UUID))
+    pyparsing_common.uuid.runTests("""
+        12345678-1234-5678-1234-567812345678
+        """)
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/six.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/six.py
new file mode 100644
index 0000000000000000000000000000000000000000..190c0239cd7d7af82a6e0cbc8d68053fa2e3dfaf
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/_vendor/six.py
@@ -0,0 +1,868 @@
+"""Utilities for writing code that runs on Python 2 and 3"""
+
+# Copyright (c) 2010-2015 Benjamin Peterson
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+
+from __future__ import absolute_import
+
+import functools
+import itertools
+import operator
+import sys
+import types
+
+__author__ = "Benjamin Peterson "
+__version__ = "1.10.0"
+
+
+# Useful for very coarse version differentiation.
+PY2 = sys.version_info[0] == 2
+PY3 = sys.version_info[0] == 3
+PY34 = sys.version_info[0:2] >= (3, 4)
+
+if PY3:
+    string_types = str,
+    integer_types = int,
+    class_types = type,
+    text_type = str
+    binary_type = bytes
+
+    MAXSIZE = sys.maxsize
+else:
+    string_types = basestring,
+    integer_types = (int, long)
+    class_types = (type, types.ClassType)
+    text_type = unicode
+    binary_type = str
+
+    if sys.platform.startswith("java"):
+        # Jython always uses 32 bits.
+        MAXSIZE = int((1 << 31) - 1)
+    else:
+        # It's possible to have sizeof(long) != sizeof(Py_ssize_t).
+        class X(object):
+
+            def __len__(self):
+                return 1 << 31
+        try:
+            len(X())
+        except OverflowError:
+            # 32-bit
+            MAXSIZE = int((1 << 31) - 1)
+        else:
+            # 64-bit
+            MAXSIZE = int((1 << 63) - 1)
+        del X
+
+
+def _add_doc(func, doc):
+    """Add documentation to a function."""
+    func.__doc__ = doc
+
+
+def _import_module(name):
+    """Import module, returning the module after the last dot."""
+    __import__(name)
+    return sys.modules[name]
+
+
+class _LazyDescr(object):
+
+    def __init__(self, name):
+        self.name = name
+
+    def __get__(self, obj, tp):
+        result = self._resolve()
+        setattr(obj, self.name, result)  # Invokes __set__.
+        try:
+            # This is a bit ugly, but it avoids running this again by
+            # removing this descriptor.
+            delattr(obj.__class__, self.name)
+        except AttributeError:
+            pass
+        return result
+
+
+class MovedModule(_LazyDescr):
+
+    def __init__(self, name, old, new=None):
+        super(MovedModule, self).__init__(name)
+        if PY3:
+            if new is None:
+                new = name
+            self.mod = new
+        else:
+            self.mod = old
+
+    def _resolve(self):
+        return _import_module(self.mod)
+
+    def __getattr__(self, attr):
+        _module = self._resolve()
+        value = getattr(_module, attr)
+        setattr(self, attr, value)
+        return value
+
+
+class _LazyModule(types.ModuleType):
+
+    def __init__(self, name):
+        super(_LazyModule, self).__init__(name)
+        self.__doc__ = self.__class__.__doc__
+
+    def __dir__(self):
+        attrs = ["__doc__", "__name__"]
+        attrs += [attr.name for attr in self._moved_attributes]
+        return attrs
+
+    # Subclasses should override this
+    _moved_attributes = []
+
+
+class MovedAttribute(_LazyDescr):
+
+    def __init__(self, name, old_mod, new_mod, old_attr=None, new_attr=None):
+        super(MovedAttribute, self).__init__(name)
+        if PY3:
+            if new_mod is None:
+                new_mod = name
+            self.mod = new_mod
+            if new_attr is None:
+                if old_attr is None:
+                    new_attr = name
+                else:
+                    new_attr = old_attr
+            self.attr = new_attr
+        else:
+            self.mod = old_mod
+            if old_attr is None:
+                old_attr = name
+            self.attr = old_attr
+
+    def _resolve(self):
+        module = _import_module(self.mod)
+        return getattr(module, self.attr)
+
+
+class _SixMetaPathImporter(object):
+
+    """
+    A meta path importer to import six.moves and its submodules.
+
+    This class implements a PEP302 finder and loader. It should be compatible
+    with Python 2.5 and all existing versions of Python3
+    """
+
+    def __init__(self, six_module_name):
+        self.name = six_module_name
+        self.known_modules = {}
+
+    def _add_module(self, mod, *fullnames):
+        for fullname in fullnames:
+            self.known_modules[self.name + "." + fullname] = mod
+
+    def _get_module(self, fullname):
+        return self.known_modules[self.name + "." + fullname]
+
+    def find_module(self, fullname, path=None):
+        if fullname in self.known_modules:
+            return self
+        return None
+
+    def __get_module(self, fullname):
+        try:
+            return self.known_modules[fullname]
+        except KeyError:
+            raise ImportError("This loader does not know module " + fullname)
+
+    def load_module(self, fullname):
+        try:
+            # in case of a reload
+            return sys.modules[fullname]
+        except KeyError:
+            pass
+        mod = self.__get_module(fullname)
+        if isinstance(mod, MovedModule):
+            mod = mod._resolve()
+        else:
+            mod.__loader__ = self
+        sys.modules[fullname] = mod
+        return mod
+
+    def is_package(self, fullname):
+        """
+        Return true, if the named module is a package.
+
+        We need this method to get correct spec objects with
+        Python 3.4 (see PEP451)
+        """
+        return hasattr(self.__get_module(fullname), "__path__")
+
+    def get_code(self, fullname):
+        """Return None
+
+        Required, if is_package is implemented"""
+        self.__get_module(fullname)  # eventually raises ImportError
+        return None
+    get_source = get_code  # same as get_code
+
+_importer = _SixMetaPathImporter(__name__)
+
+
+class _MovedItems(_LazyModule):
+
+    """Lazy loading of moved objects"""
+    __path__ = []  # mark as package
+
+
+_moved_attributes = [
+    MovedAttribute("cStringIO", "cStringIO", "io", "StringIO"),
+    MovedAttribute("filter", "itertools", "builtins", "ifilter", "filter"),
+    MovedAttribute("filterfalse", "itertools", "itertools", "ifilterfalse", "filterfalse"),
+    MovedAttribute("input", "__builtin__", "builtins", "raw_input", "input"),
+    MovedAttribute("intern", "__builtin__", "sys"),
+    MovedAttribute("map", "itertools", "builtins", "imap", "map"),
+    MovedAttribute("getcwd", "os", "os", "getcwdu", "getcwd"),
+    MovedAttribute("getcwdb", "os", "os", "getcwd", "getcwdb"),
+    MovedAttribute("range", "__builtin__", "builtins", "xrange", "range"),
+    MovedAttribute("reload_module", "__builtin__", "importlib" if PY34 else "imp", "reload"),
+    MovedAttribute("reduce", "__builtin__", "functools"),
+    MovedAttribute("shlex_quote", "pipes", "shlex", "quote"),
+    MovedAttribute("StringIO", "StringIO", "io"),
+    MovedAttribute("UserDict", "UserDict", "collections"),
+    MovedAttribute("UserList", "UserList", "collections"),
+    MovedAttribute("UserString", "UserString", "collections"),
+    MovedAttribute("xrange", "__builtin__", "builtins", "xrange", "range"),
+    MovedAttribute("zip", "itertools", "builtins", "izip", "zip"),
+    MovedAttribute("zip_longest", "itertools", "itertools", "izip_longest", "zip_longest"),
+    MovedModule("builtins", "__builtin__"),
+    MovedModule("configparser", "ConfigParser"),
+    MovedModule("copyreg", "copy_reg"),
+    MovedModule("dbm_gnu", "gdbm", "dbm.gnu"),
+    MovedModule("_dummy_thread", "dummy_thread", "_dummy_thread"),
+    MovedModule("http_cookiejar", "cookielib", "http.cookiejar"),
+    MovedModule("http_cookies", "Cookie", "http.cookies"),
+    MovedModule("html_entities", "htmlentitydefs", "html.entities"),
+    MovedModule("html_parser", "HTMLParser", "html.parser"),
+    MovedModule("http_client", "httplib", "http.client"),
+    MovedModule("email_mime_multipart", "email.MIMEMultipart", "email.mime.multipart"),
+    MovedModule("email_mime_nonmultipart", "email.MIMENonMultipart", "email.mime.nonmultipart"),
+    MovedModule("email_mime_text", "email.MIMEText", "email.mime.text"),
+    MovedModule("email_mime_base", "email.MIMEBase", "email.mime.base"),
+    MovedModule("BaseHTTPServer", "BaseHTTPServer", "http.server"),
+    MovedModule("CGIHTTPServer", "CGIHTTPServer", "http.server"),
+    MovedModule("SimpleHTTPServer", "SimpleHTTPServer", "http.server"),
+    MovedModule("cPickle", "cPickle", "pickle"),
+    MovedModule("queue", "Queue"),
+    MovedModule("reprlib", "repr"),
+    MovedModule("socketserver", "SocketServer"),
+    MovedModule("_thread", "thread", "_thread"),
+    MovedModule("tkinter", "Tkinter"),
+    MovedModule("tkinter_dialog", "Dialog", "tkinter.dialog"),
+    MovedModule("tkinter_filedialog", "FileDialog", "tkinter.filedialog"),
+    MovedModule("tkinter_scrolledtext", "ScrolledText", "tkinter.scrolledtext"),
+    MovedModule("tkinter_simpledialog", "SimpleDialog", "tkinter.simpledialog"),
+    MovedModule("tkinter_tix", "Tix", "tkinter.tix"),
+    MovedModule("tkinter_ttk", "ttk", "tkinter.ttk"),
+    MovedModule("tkinter_constants", "Tkconstants", "tkinter.constants"),
+    MovedModule("tkinter_dnd", "Tkdnd", "tkinter.dnd"),
+    MovedModule("tkinter_colorchooser", "tkColorChooser",
+                "tkinter.colorchooser"),
+    MovedModule("tkinter_commondialog", "tkCommonDialog",
+                "tkinter.commondialog"),
+    MovedModule("tkinter_tkfiledialog", "tkFileDialog", "tkinter.filedialog"),
+    MovedModule("tkinter_font", "tkFont", "tkinter.font"),
+    MovedModule("tkinter_messagebox", "tkMessageBox", "tkinter.messagebox"),
+    MovedModule("tkinter_tksimpledialog", "tkSimpleDialog",
+                "tkinter.simpledialog"),
+    MovedModule("urllib_parse", __name__ + ".moves.urllib_parse", "urllib.parse"),
+    MovedModule("urllib_error", __name__ + ".moves.urllib_error", "urllib.error"),
+    MovedModule("urllib", __name__ + ".moves.urllib", __name__ + ".moves.urllib"),
+    MovedModule("urllib_robotparser", "robotparser", "urllib.robotparser"),
+    MovedModule("xmlrpc_client", "xmlrpclib", "xmlrpc.client"),
+    MovedModule("xmlrpc_server", "SimpleXMLRPCServer", "xmlrpc.server"),
+]
+# Add windows specific modules.
+if sys.platform == "win32":
+    _moved_attributes += [
+        MovedModule("winreg", "_winreg"),
+    ]
+
+for attr in _moved_attributes:
+    setattr(_MovedItems, attr.name, attr)
+    if isinstance(attr, MovedModule):
+        _importer._add_module(attr, "moves." + attr.name)
+del attr
+
+_MovedItems._moved_attributes = _moved_attributes
+
+moves = _MovedItems(__name__ + ".moves")
+_importer._add_module(moves, "moves")
+
+
+class Module_six_moves_urllib_parse(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_parse"""
+
+
+_urllib_parse_moved_attributes = [
+    MovedAttribute("ParseResult", "urlparse", "urllib.parse"),
+    MovedAttribute("SplitResult", "urlparse", "urllib.parse"),
+    MovedAttribute("parse_qs", "urlparse", "urllib.parse"),
+    MovedAttribute("parse_qsl", "urlparse", "urllib.parse"),
+    MovedAttribute("urldefrag", "urlparse", "urllib.parse"),
+    MovedAttribute("urljoin", "urlparse", "urllib.parse"),
+    MovedAttribute("urlparse", "urlparse", "urllib.parse"),
+    MovedAttribute("urlsplit", "urlparse", "urllib.parse"),
+    MovedAttribute("urlunparse", "urlparse", "urllib.parse"),
+    MovedAttribute("urlunsplit", "urlparse", "urllib.parse"),
+    MovedAttribute("quote", "urllib", "urllib.parse"),
+    MovedAttribute("quote_plus", "urllib", "urllib.parse"),
+    MovedAttribute("unquote", "urllib", "urllib.parse"),
+    MovedAttribute("unquote_plus", "urllib", "urllib.parse"),
+    MovedAttribute("urlencode", "urllib", "urllib.parse"),
+    MovedAttribute("splitquery", "urllib", "urllib.parse"),
+    MovedAttribute("splittag", "urllib", "urllib.parse"),
+    MovedAttribute("splituser", "urllib", "urllib.parse"),
+    MovedAttribute("uses_fragment", "urlparse", "urllib.parse"),
+    MovedAttribute("uses_netloc", "urlparse", "urllib.parse"),
+    MovedAttribute("uses_params", "urlparse", "urllib.parse"),
+    MovedAttribute("uses_query", "urlparse", "urllib.parse"),
+    MovedAttribute("uses_relative", "urlparse", "urllib.parse"),
+]
+for attr in _urllib_parse_moved_attributes:
+    setattr(Module_six_moves_urllib_parse, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_parse._moved_attributes = _urllib_parse_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_parse(__name__ + ".moves.urllib_parse"),
+                      "moves.urllib_parse", "moves.urllib.parse")
+
+
+class Module_six_moves_urllib_error(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_error"""
+
+
+_urllib_error_moved_attributes = [
+    MovedAttribute("URLError", "urllib2", "urllib.error"),
+    MovedAttribute("HTTPError", "urllib2", "urllib.error"),
+    MovedAttribute("ContentTooShortError", "urllib", "urllib.error"),
+]
+for attr in _urllib_error_moved_attributes:
+    setattr(Module_six_moves_urllib_error, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_error._moved_attributes = _urllib_error_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_error(__name__ + ".moves.urllib.error"),
+                      "moves.urllib_error", "moves.urllib.error")
+
+
+class Module_six_moves_urllib_request(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_request"""
+
+
+_urllib_request_moved_attributes = [
+    MovedAttribute("urlopen", "urllib2", "urllib.request"),
+    MovedAttribute("install_opener", "urllib2", "urllib.request"),
+    MovedAttribute("build_opener", "urllib2", "urllib.request"),
+    MovedAttribute("pathname2url", "urllib", "urllib.request"),
+    MovedAttribute("url2pathname", "urllib", "urllib.request"),
+    MovedAttribute("getproxies", "urllib", "urllib.request"),
+    MovedAttribute("Request", "urllib2", "urllib.request"),
+    MovedAttribute("OpenerDirector", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPDefaultErrorHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPRedirectHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPCookieProcessor", "urllib2", "urllib.request"),
+    MovedAttribute("ProxyHandler", "urllib2", "urllib.request"),
+    MovedAttribute("BaseHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPPasswordMgr", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPPasswordMgrWithDefaultRealm", "urllib2", "urllib.request"),
+    MovedAttribute("AbstractBasicAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPBasicAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("ProxyBasicAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("AbstractDigestAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPDigestAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("ProxyDigestAuthHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPSHandler", "urllib2", "urllib.request"),
+    MovedAttribute("FileHandler", "urllib2", "urllib.request"),
+    MovedAttribute("FTPHandler", "urllib2", "urllib.request"),
+    MovedAttribute("CacheFTPHandler", "urllib2", "urllib.request"),
+    MovedAttribute("UnknownHandler", "urllib2", "urllib.request"),
+    MovedAttribute("HTTPErrorProcessor", "urllib2", "urllib.request"),
+    MovedAttribute("urlretrieve", "urllib", "urllib.request"),
+    MovedAttribute("urlcleanup", "urllib", "urllib.request"),
+    MovedAttribute("URLopener", "urllib", "urllib.request"),
+    MovedAttribute("FancyURLopener", "urllib", "urllib.request"),
+    MovedAttribute("proxy_bypass", "urllib", "urllib.request"),
+]
+for attr in _urllib_request_moved_attributes:
+    setattr(Module_six_moves_urllib_request, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_request._moved_attributes = _urllib_request_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_request(__name__ + ".moves.urllib.request"),
+                      "moves.urllib_request", "moves.urllib.request")
+
+
+class Module_six_moves_urllib_response(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_response"""
+
+
+_urllib_response_moved_attributes = [
+    MovedAttribute("addbase", "urllib", "urllib.response"),
+    MovedAttribute("addclosehook", "urllib", "urllib.response"),
+    MovedAttribute("addinfo", "urllib", "urllib.response"),
+    MovedAttribute("addinfourl", "urllib", "urllib.response"),
+]
+for attr in _urllib_response_moved_attributes:
+    setattr(Module_six_moves_urllib_response, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_response._moved_attributes = _urllib_response_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_response(__name__ + ".moves.urllib.response"),
+                      "moves.urllib_response", "moves.urllib.response")
+
+
+class Module_six_moves_urllib_robotparser(_LazyModule):
+
+    """Lazy loading of moved objects in six.moves.urllib_robotparser"""
+
+
+_urllib_robotparser_moved_attributes = [
+    MovedAttribute("RobotFileParser", "robotparser", "urllib.robotparser"),
+]
+for attr in _urllib_robotparser_moved_attributes:
+    setattr(Module_six_moves_urllib_robotparser, attr.name, attr)
+del attr
+
+Module_six_moves_urllib_robotparser._moved_attributes = _urllib_robotparser_moved_attributes
+
+_importer._add_module(Module_six_moves_urllib_robotparser(__name__ + ".moves.urllib.robotparser"),
+                      "moves.urllib_robotparser", "moves.urllib.robotparser")
+
+
+class Module_six_moves_urllib(types.ModuleType):
+
+    """Create a six.moves.urllib namespace that resembles the Python 3 namespace"""
+    __path__ = []  # mark as package
+    parse = _importer._get_module("moves.urllib_parse")
+    error = _importer._get_module("moves.urllib_error")
+    request = _importer._get_module("moves.urllib_request")
+    response = _importer._get_module("moves.urllib_response")
+    robotparser = _importer._get_module("moves.urllib_robotparser")
+
+    def __dir__(self):
+        return ['parse', 'error', 'request', 'response', 'robotparser']
+
+_importer._add_module(Module_six_moves_urllib(__name__ + ".moves.urllib"),
+                      "moves.urllib")
+
+
+def add_move(move):
+    """Add an item to six.moves."""
+    setattr(_MovedItems, move.name, move)
+
+
+def remove_move(name):
+    """Remove item from six.moves."""
+    try:
+        delattr(_MovedItems, name)
+    except AttributeError:
+        try:
+            del moves.__dict__[name]
+        except KeyError:
+            raise AttributeError("no such move, %r" % (name,))
+
+
+if PY3:
+    _meth_func = "__func__"
+    _meth_self = "__self__"
+
+    _func_closure = "__closure__"
+    _func_code = "__code__"
+    _func_defaults = "__defaults__"
+    _func_globals = "__globals__"
+else:
+    _meth_func = "im_func"
+    _meth_self = "im_self"
+
+    _func_closure = "func_closure"
+    _func_code = "func_code"
+    _func_defaults = "func_defaults"
+    _func_globals = "func_globals"
+
+
+try:
+    advance_iterator = next
+except NameError:
+    def advance_iterator(it):
+        return it.next()
+next = advance_iterator
+
+
+try:
+    callable = callable
+except NameError:
+    def callable(obj):
+        return any("__call__" in klass.__dict__ for klass in type(obj).__mro__)
+
+
+if PY3:
+    def get_unbound_function(unbound):
+        return unbound
+
+    create_bound_method = types.MethodType
+
+    def create_unbound_method(func, cls):
+        return func
+
+    Iterator = object
+else:
+    def get_unbound_function(unbound):
+        return unbound.im_func
+
+    def create_bound_method(func, obj):
+        return types.MethodType(func, obj, obj.__class__)
+
+    def create_unbound_method(func, cls):
+        return types.MethodType(func, None, cls)
+
+    class Iterator(object):
+
+        def next(self):
+            return type(self).__next__(self)
+
+    callable = callable
+_add_doc(get_unbound_function,
+         """Get the function out of a possibly unbound function""")
+
+
+get_method_function = operator.attrgetter(_meth_func)
+get_method_self = operator.attrgetter(_meth_self)
+get_function_closure = operator.attrgetter(_func_closure)
+get_function_code = operator.attrgetter(_func_code)
+get_function_defaults = operator.attrgetter(_func_defaults)
+get_function_globals = operator.attrgetter(_func_globals)
+
+
+if PY3:
+    def iterkeys(d, **kw):
+        return iter(d.keys(**kw))
+
+    def itervalues(d, **kw):
+        return iter(d.values(**kw))
+
+    def iteritems(d, **kw):
+        return iter(d.items(**kw))
+
+    def iterlists(d, **kw):
+        return iter(d.lists(**kw))
+
+    viewkeys = operator.methodcaller("keys")
+
+    viewvalues = operator.methodcaller("values")
+
+    viewitems = operator.methodcaller("items")
+else:
+    def iterkeys(d, **kw):
+        return d.iterkeys(**kw)
+
+    def itervalues(d, **kw):
+        return d.itervalues(**kw)
+
+    def iteritems(d, **kw):
+        return d.iteritems(**kw)
+
+    def iterlists(d, **kw):
+        return d.iterlists(**kw)
+
+    viewkeys = operator.methodcaller("viewkeys")
+
+    viewvalues = operator.methodcaller("viewvalues")
+
+    viewitems = operator.methodcaller("viewitems")
+
+_add_doc(iterkeys, "Return an iterator over the keys of a dictionary.")
+_add_doc(itervalues, "Return an iterator over the values of a dictionary.")
+_add_doc(iteritems,
+         "Return an iterator over the (key, value) pairs of a dictionary.")
+_add_doc(iterlists,
+         "Return an iterator over the (key, [values]) pairs of a dictionary.")
+
+
+if PY3:
+    def b(s):
+        return s.encode("latin-1")
+
+    def u(s):
+        return s
+    unichr = chr
+    import struct
+    int2byte = struct.Struct(">B").pack
+    del struct
+    byte2int = operator.itemgetter(0)
+    indexbytes = operator.getitem
+    iterbytes = iter
+    import io
+    StringIO = io.StringIO
+    BytesIO = io.BytesIO
+    _assertCountEqual = "assertCountEqual"
+    if sys.version_info[1] <= 1:
+        _assertRaisesRegex = "assertRaisesRegexp"
+        _assertRegex = "assertRegexpMatches"
+    else:
+        _assertRaisesRegex = "assertRaisesRegex"
+        _assertRegex = "assertRegex"
+else:
+    def b(s):
+        return s
+    # Workaround for standalone backslash
+
+    def u(s):
+        return unicode(s.replace(r'\\', r'\\\\'), "unicode_escape")
+    unichr = unichr
+    int2byte = chr
+
+    def byte2int(bs):
+        return ord(bs[0])
+
+    def indexbytes(buf, i):
+        return ord(buf[i])
+    iterbytes = functools.partial(itertools.imap, ord)
+    import StringIO
+    StringIO = BytesIO = StringIO.StringIO
+    _assertCountEqual = "assertItemsEqual"
+    _assertRaisesRegex = "assertRaisesRegexp"
+    _assertRegex = "assertRegexpMatches"
+_add_doc(b, """Byte literal""")
+_add_doc(u, """Text literal""")
+
+
+def assertCountEqual(self, *args, **kwargs):
+    return getattr(self, _assertCountEqual)(*args, **kwargs)
+
+
+def assertRaisesRegex(self, *args, **kwargs):
+    return getattr(self, _assertRaisesRegex)(*args, **kwargs)
+
+
+def assertRegex(self, *args, **kwargs):
+    return getattr(self, _assertRegex)(*args, **kwargs)
+
+
+if PY3:
+    exec_ = getattr(moves.builtins, "exec")
+
+    def reraise(tp, value, tb=None):
+        if value is None:
+            value = tp()
+        if value.__traceback__ is not tb:
+            raise value.with_traceback(tb)
+        raise value
+
+else:
+    def exec_(_code_, _globs_=None, _locs_=None):
+        """Execute code in a namespace."""
+        if _globs_ is None:
+            frame = sys._getframe(1)
+            _globs_ = frame.f_globals
+            if _locs_ is None:
+                _locs_ = frame.f_locals
+            del frame
+        elif _locs_ is None:
+            _locs_ = _globs_
+        exec("""exec _code_ in _globs_, _locs_""")
+
+    exec_("""def reraise(tp, value, tb=None):
+    raise tp, value, tb
+""")
+
+
+if sys.version_info[:2] == (3, 2):
+    exec_("""def raise_from(value, from_value):
+    if from_value is None:
+        raise value
+    raise value from from_value
+""")
+elif sys.version_info[:2] > (3, 2):
+    exec_("""def raise_from(value, from_value):
+    raise value from from_value
+""")
+else:
+    def raise_from(value, from_value):
+        raise value
+
+
+print_ = getattr(moves.builtins, "print", None)
+if print_ is None:
+    def print_(*args, **kwargs):
+        """The new-style print function for Python 2.4 and 2.5."""
+        fp = kwargs.pop("file", sys.stdout)
+        if fp is None:
+            return
+
+        def write(data):
+            if not isinstance(data, basestring):
+                data = str(data)
+            # If the file has an encoding, encode unicode with it.
+            if (isinstance(fp, file) and
+                    isinstance(data, unicode) and
+                    fp.encoding is not None):
+                errors = getattr(fp, "errors", None)
+                if errors is None:
+                    errors = "strict"
+                data = data.encode(fp.encoding, errors)
+            fp.write(data)
+        want_unicode = False
+        sep = kwargs.pop("sep", None)
+        if sep is not None:
+            if isinstance(sep, unicode):
+                want_unicode = True
+            elif not isinstance(sep, str):
+                raise TypeError("sep must be None or a string")
+        end = kwargs.pop("end", None)
+        if end is not None:
+            if isinstance(end, unicode):
+                want_unicode = True
+            elif not isinstance(end, str):
+                raise TypeError("end must be None or a string")
+        if kwargs:
+            raise TypeError("invalid keyword arguments to print()")
+        if not want_unicode:
+            for arg in args:
+                if isinstance(arg, unicode):
+                    want_unicode = True
+                    break
+        if want_unicode:
+            newline = unicode("\n")
+            space = unicode(" ")
+        else:
+            newline = "\n"
+            space = " "
+        if sep is None:
+            sep = space
+        if end is None:
+            end = newline
+        for i, arg in enumerate(args):
+            if i:
+                write(sep)
+            write(arg)
+        write(end)
+if sys.version_info[:2] < (3, 3):
+    _print = print_
+
+    def print_(*args, **kwargs):
+        fp = kwargs.get("file", sys.stdout)
+        flush = kwargs.pop("flush", False)
+        _print(*args, **kwargs)
+        if flush and fp is not None:
+            fp.flush()
+
+_add_doc(reraise, """Reraise an exception.""")
+
+if sys.version_info[0:2] < (3, 4):
+    def wraps(wrapped, assigned=functools.WRAPPER_ASSIGNMENTS,
+              updated=functools.WRAPPER_UPDATES):
+        def wrapper(f):
+            f = functools.wraps(wrapped, assigned, updated)(f)
+            f.__wrapped__ = wrapped
+            return f
+        return wrapper
+else:
+    wraps = functools.wraps
+
+
+def with_metaclass(meta, *bases):
+    """Create a base class with a metaclass."""
+    # This requires a bit of explanation: the basic idea is to make a dummy
+    # metaclass for one level of class instantiation that replaces itself with
+    # the actual metaclass.
+    class metaclass(meta):
+
+        def __new__(cls, name, this_bases, d):
+            return meta(name, bases, d)
+    return type.__new__(metaclass, 'temporary_class', (), {})
+
+
+def add_metaclass(metaclass):
+    """Class decorator for creating a class with a metaclass."""
+    def wrapper(cls):
+        orig_vars = cls.__dict__.copy()
+        slots = orig_vars.get('__slots__')
+        if slots is not None:
+            if isinstance(slots, str):
+                slots = [slots]
+            for slots_var in slots:
+                orig_vars.pop(slots_var)
+        orig_vars.pop('__dict__', None)
+        orig_vars.pop('__weakref__', None)
+        return metaclass(cls.__name__, cls.__bases__, orig_vars)
+    return wrapper
+
+
+def python_2_unicode_compatible(klass):
+    """
+    A decorator that defines __unicode__ and __str__ methods under Python 2.
+    Under Python 3 it does nothing.
+
+    To support Python 2 and 3 with a single code base, define a __str__ method
+    returning text and apply this decorator to the class.
+    """
+    if PY2:
+        if '__str__' not in klass.__dict__:
+            raise ValueError("@python_2_unicode_compatible cannot be applied "
+                             "to %s because it doesn't define __str__()." %
+                             klass.__name__)
+        klass.__unicode__ = klass.__str__
+        klass.__str__ = lambda self: self.__unicode__().encode('utf-8')
+    return klass
+
+
+# Complete the moves implementation.
+# This code is at the end of this module to speed up module loading.
+# Turn this module into a package.
+__path__ = []  # required for PEP 302 and PEP 451
+__package__ = __name__  # see PEP 366 @ReservedAssignment
+if globals().get("__spec__") is not None:
+    __spec__.submodule_search_locations = []  # PEP 451 @UndefinedVariable
+# Remove other six meta path importers, since they cause problems. This can
+# happen if six is removed from sys.modules and then reloaded. (Setuptools does
+# this for some reason.)
+if sys.meta_path:
+    for i, importer in enumerate(sys.meta_path):
+        # Here's some real nastiness: Another "instance" of the six module might
+        # be floating around. Therefore, we can't use isinstance() to check for
+        # the six meta path importer, since the other six instance will have
+        # inserted an importer with different class.
+        if (type(importer).__name__ == "_SixMetaPathImporter" and
+                importer.name == __name__):
+            del sys.meta_path[i]
+            break
+    del i, importer
+# Finally, add the importer to the meta path import hook.
+sys.meta_path.append(_importer)
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/extern/__init__.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/extern/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..c1eb9e998f8e117c82c176bc83ab1d350c729cd7
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/pkg_resources/extern/__init__.py
@@ -0,0 +1,73 @@
+import sys
+
+
+class VendorImporter:
+    """
+    A PEP 302 meta path importer for finding optionally-vendored
+    or otherwise naturally-installed packages from root_name.
+    """
+
+    def __init__(self, root_name, vendored_names=(), vendor_pkg=None):
+        self.root_name = root_name
+        self.vendored_names = set(vendored_names)
+        self.vendor_pkg = vendor_pkg or root_name.replace('extern', '_vendor')
+
+    @property
+    def search_path(self):
+        """
+        Search first the vendor package then as a natural package.
+        """
+        yield self.vendor_pkg + '.'
+        yield ''
+
+    def find_module(self, fullname, path=None):
+        """
+        Return self when fullname starts with root_name and the
+        target module is one vendored through this importer.
+        """
+        root, base, target = fullname.partition(self.root_name + '.')
+        if root:
+            return
+        if not any(map(target.startswith, self.vendored_names)):
+            return
+        return self
+
+    def load_module(self, fullname):
+        """
+        Iterate over the search path to locate and load fullname.
+        """
+        root, base, target = fullname.partition(self.root_name + '.')
+        for prefix in self.search_path:
+            try:
+                extant = prefix + target
+                __import__(extant)
+                mod = sys.modules[extant]
+                sys.modules[fullname] = mod
+                # mysterious hack:
+                # Remove the reference to the extant package/module
+                # on later Python versions to cause relative imports
+                # in the vendor package to resolve the same modules
+                # as those going through this importer.
+                if prefix and sys.version_info > (3, 3):
+                    del sys.modules[extant]
+                return mod
+            except ImportError:
+                pass
+        else:
+            raise ImportError(
+                "The '{target}' package is required; "
+                "normally this is bundled with this package so if you get "
+                "this warning, consult the packager of your "
+                "distribution.".format(**locals())
+            )
+
+    def install(self):
+        """
+        Install this importer into sys.meta_path if not already present.
+        """
+        if self not in sys.meta_path:
+            sys.meta_path.append(self)
+
+
+names = 'packaging', 'pyparsing', 'six', 'appdirs'
+VendorImporter(__name__, names).install()
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/INSTALLER b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/INSTALLER
new file mode 100644
index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/INSTALLER
@@ -0,0 +1 @@
+pip
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/LICENSE b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..6e0693b4b010a8c42e34f89ab8fa1e18b5bae1cc
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/LICENSE
@@ -0,0 +1,19 @@
+Copyright (C) 2016 Jason R Coombs 
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of
+this software and associated documentation files (the "Software"), to deal in
+the Software without restriction, including without limitation the rights to
+use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
+of the Software, and to permit persons to whom the Software is furnished to do
+so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/METADATA b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/METADATA
new file mode 100644
index 0000000000000000000000000000000000000000..96f2587edd734bda1dc872150f23acf1db087370
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/METADATA
@@ -0,0 +1,77 @@
+Metadata-Version: 2.1
+Name: setuptools
+Version: 41.2.0
+Summary: Easily download, build, install, upgrade, and uninstall Python packages
+Home-page: https://github.com/pypa/setuptools
+Author: Python Packaging Authority
+Author-email: distutils-sig@python.org
+License: UNKNOWN
+Project-URL: Documentation, https://setuptools.readthedocs.io/
+Keywords: CPAN PyPI distutils eggs package management
+Platform: UNKNOWN
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 2
+Classifier: Programming Language :: Python :: 2.7
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.4
+Classifier: Programming Language :: Python :: 3.5
+Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Topic :: Software Development :: Libraries :: Python Modules
+Classifier: Topic :: System :: Archiving :: Packaging
+Classifier: Topic :: System :: Systems Administration
+Classifier: Topic :: Utilities
+Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*
+Description-Content-Type: text/x-rst; charset=UTF-8
+Provides-Extra: certs
+Requires-Dist: certifi (==2016.9.26) ; extra == 'certs'
+Provides-Extra: ssl
+Requires-Dist: wincertstore (==0.2) ; (sys_platform == "win32") and extra == 'ssl'
+
+.. image:: https://img.shields.io/pypi/v/setuptools.svg
+   :target: https://pypi.org/project/setuptools
+
+.. image:: https://img.shields.io/readthedocs/setuptools/latest.svg
+    :target: https://setuptools.readthedocs.io
+
+.. image:: https://img.shields.io/travis/pypa/setuptools/master.svg?label=Linux%20CI&logo=travis&logoColor=white
+   :target: https://travis-ci.org/pypa/setuptools
+
+.. image:: https://img.shields.io/appveyor/ci/pypa/setuptools/master.svg?label=Windows%20CI&logo=appveyor&logoColor=white
+   :target: https://ci.appveyor.com/project/pypa/setuptools/branch/master
+
+.. image:: https://img.shields.io/codecov/c/github/pypa/setuptools/master.svg?logo=codecov&logoColor=white
+   :target: https://codecov.io/gh/pypa/setuptools
+
+.. image:: https://tidelift.com/badges/github/pypa/setuptools?style=flat
+   :target: https://tidelift.com/subscription/pkg/pypi-setuptools?utm_source=pypi-setuptools&utm_medium=readme
+
+.. image:: https://img.shields.io/pypi/pyversions/setuptools.svg
+
+See the `Installation Instructions
+`_ in the Python Packaging
+User's Guide for instructions on installing, upgrading, and uninstalling
+Setuptools.
+
+Questions and comments should be directed to the `distutils-sig
+mailing list `_.
+Bug reports and especially tested patches may be
+submitted directly to the `bug tracker
+`_.
+
+To report a security vulnerability, please use the
+`Tidelift security contact `_.
+Tidelift will coordinate the fix and disclosure.
+
+
+Code of Conduct
+---------------
+
+Everyone interacting in the setuptools project's codebases, issue trackers,
+chat rooms, and mailing lists is expected to follow the
+`PyPA Code of Conduct `_.
+
+
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/RECORD b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/RECORD
new file mode 100644
index 0000000000000000000000000000000000000000..36dbafd1c86791c0357f857b6e3e11a9e964333b
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/RECORD
@@ -0,0 +1,186 @@
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+setuptools/ssl_support.py,sha256=nLjPUBBw7RTTx6O4RJZ5eAMGgjJG8beiDbkFXDZpLuM,8493
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+setuptools/version.py,sha256=og_cuZQb0QI6ukKZFfZWPlr1HgJBPPn2vO2m_bI9ZTE,144
+setuptools/wheel.py,sha256=94uqXsOaKt91d9hW5z6ZppZmNSs_nO66R4uiwhcr4V0,8094
+setuptools/windows_support.py,sha256=5GrfqSP2-dLGJoZTq2g6dCKkyQxxa2n5IQiXlJCoYEE,714
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/WHEEL b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/WHEEL
new file mode 100644
index 0000000000000000000000000000000000000000..8b701e93c23159bc1f4145f779049ce0a6a6cf77
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/WHEEL
@@ -0,0 +1,6 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.33.6)
+Root-Is-Purelib: true
+Tag: py2-none-any
+Tag: py3-none-any
+
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/dependency_links.txt b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/dependency_links.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e87d02103ede91545d70783dd59653d183424b68
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/dependency_links.txt
@@ -0,0 +1,2 @@
+https://files.pythonhosted.org/packages/source/c/certifi/certifi-2016.9.26.tar.gz#md5=baa81e951a29958563689d868ef1064d
+https://files.pythonhosted.org/packages/source/w/wincertstore/wincertstore-0.2.zip#md5=ae728f2f007185648d0c7a8679b361e2
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/entry_points.txt b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/entry_points.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4159fd0a1b925dc63b5ddafc71dfcdf997e84002
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/entry_points.txt
@@ -0,0 +1,65 @@
+[console_scripts]
+easy_install = setuptools.command.easy_install:main
+easy_install-3.6 = setuptools.command.easy_install:main
+
+[distutils.commands]
+alias = setuptools.command.alias:alias
+bdist_egg = setuptools.command.bdist_egg:bdist_egg
+bdist_rpm = setuptools.command.bdist_rpm:bdist_rpm
+bdist_wininst = setuptools.command.bdist_wininst:bdist_wininst
+build_clib = setuptools.command.build_clib:build_clib
+build_ext = setuptools.command.build_ext:build_ext
+build_py = setuptools.command.build_py:build_py
+develop = setuptools.command.develop:develop
+dist_info = setuptools.command.dist_info:dist_info
+easy_install = setuptools.command.easy_install:easy_install
+egg_info = setuptools.command.egg_info:egg_info
+install = setuptools.command.install:install
+install_egg_info = setuptools.command.install_egg_info:install_egg_info
+install_lib = setuptools.command.install_lib:install_lib
+install_scripts = setuptools.command.install_scripts:install_scripts
+register = setuptools.command.register:register
+rotate = setuptools.command.rotate:rotate
+saveopts = setuptools.command.saveopts:saveopts
+sdist = setuptools.command.sdist:sdist
+setopt = setuptools.command.setopt:setopt
+test = setuptools.command.test:test
+upload = setuptools.command.upload:upload
+upload_docs = setuptools.command.upload_docs:upload_docs
+
+[distutils.setup_keywords]
+convert_2to3_doctests = setuptools.dist:assert_string_list
+dependency_links = setuptools.dist:assert_string_list
+eager_resources = setuptools.dist:assert_string_list
+entry_points = setuptools.dist:check_entry_points
+exclude_package_data = setuptools.dist:check_package_data
+extras_require = setuptools.dist:check_extras
+include_package_data = setuptools.dist:assert_bool
+install_requires = setuptools.dist:check_requirements
+namespace_packages = setuptools.dist:check_nsp
+package_data = setuptools.dist:check_package_data
+packages = setuptools.dist:check_packages
+python_requires = setuptools.dist:check_specifier
+setup_requires = setuptools.dist:check_requirements
+test_loader = setuptools.dist:check_importable
+test_runner = setuptools.dist:check_importable
+test_suite = setuptools.dist:check_test_suite
+tests_require = setuptools.dist:check_requirements
+use_2to3 = setuptools.dist:assert_bool
+use_2to3_exclude_fixers = setuptools.dist:assert_string_list
+use_2to3_fixers = setuptools.dist:assert_string_list
+zip_safe = setuptools.dist:assert_bool
+
+[egg_info.writers]
+PKG-INFO = setuptools.command.egg_info:write_pkg_info
+dependency_links.txt = setuptools.command.egg_info:overwrite_arg
+depends.txt = setuptools.command.egg_info:warn_depends_obsolete
+eager_resources.txt = setuptools.command.egg_info:overwrite_arg
+entry_points.txt = setuptools.command.egg_info:write_entries
+namespace_packages.txt = setuptools.command.egg_info:overwrite_arg
+requires.txt = setuptools.command.egg_info:write_requirements
+top_level.txt = setuptools.command.egg_info:write_toplevel_names
+
+[setuptools.installation]
+eggsecutable = setuptools.command.easy_install:bootstrap
+
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/top_level.txt b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/top_level.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4577c6a795e510bf7578236665f582c3770fb42e
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/top_level.txt
@@ -0,0 +1,3 @@
+easy_install
+pkg_resources
+setuptools
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/zip-safe b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/zip-safe
new file mode 100644
index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools-41.2.0.dist-info/zip-safe
@@ -0,0 +1 @@
+
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/__init__.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..a71b2bbdc6170963a66959c48080c1dedc7bb703
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/__init__.py
@@ -0,0 +1,228 @@
+"""Extensions to the 'distutils' for large or complex distributions"""
+
+import os
+import sys
+import functools
+import distutils.core
+import distutils.filelist
+import re
+from distutils.errors import DistutilsOptionError
+from distutils.util import convert_path
+from fnmatch import fnmatchcase
+
+from ._deprecation_warning import SetuptoolsDeprecationWarning
+
+from setuptools.extern.six import PY3, string_types
+from setuptools.extern.six.moves import filter, map
+
+import setuptools.version
+from setuptools.extension import Extension
+from setuptools.dist import Distribution, Feature
+from setuptools.depends import Require
+from . import monkey
+
+__metaclass__ = type
+
+
+__all__ = [
+    'setup', 'Distribution', 'Feature', 'Command', 'Extension', 'Require',
+    'SetuptoolsDeprecationWarning',
+    'find_packages'
+]
+
+if PY3:
+  __all__.append('find_namespace_packages')
+
+__version__ = setuptools.version.__version__
+
+bootstrap_install_from = None
+
+# If we run 2to3 on .py files, should we also convert docstrings?
+# Default: yes; assume that we can detect doctests reliably
+run_2to3_on_doctests = True
+# Standard package names for fixer packages
+lib2to3_fixer_packages = ['lib2to3.fixes']
+
+
+class PackageFinder:
+    """
+    Generate a list of all Python packages found within a directory
+    """
+
+    @classmethod
+    def find(cls, where='.', exclude=(), include=('*',)):
+        """Return a list all Python packages found within directory 'where'
+
+        'where' is the root directory which will be searched for packages.  It
+        should be supplied as a "cross-platform" (i.e. URL-style) path; it will
+        be converted to the appropriate local path syntax.
+
+        'exclude' is a sequence of package names to exclude; '*' can be used
+        as a wildcard in the names, such that 'foo.*' will exclude all
+        subpackages of 'foo' (but not 'foo' itself).
+
+        'include' is a sequence of package names to include.  If it's
+        specified, only the named packages will be included.  If it's not
+        specified, all found packages will be included.  'include' can contain
+        shell style wildcard patterns just like 'exclude'.
+        """
+
+        return list(cls._find_packages_iter(
+            convert_path(where),
+            cls._build_filter('ez_setup', '*__pycache__', *exclude),
+            cls._build_filter(*include)))
+
+    @classmethod
+    def _find_packages_iter(cls, where, exclude, include):
+        """
+        All the packages found in 'where' that pass the 'include' filter, but
+        not the 'exclude' filter.
+        """
+        for root, dirs, files in os.walk(where, followlinks=True):
+            # Copy dirs to iterate over it, then empty dirs.
+            all_dirs = dirs[:]
+            dirs[:] = []
+
+            for dir in all_dirs:
+                full_path = os.path.join(root, dir)
+                rel_path = os.path.relpath(full_path, where)
+                package = rel_path.replace(os.path.sep, '.')
+
+                # Skip directory trees that are not valid packages
+                if ('.' in dir or not cls._looks_like_package(full_path)):
+                    continue
+
+                # Should this package be included?
+                if include(package) and not exclude(package):
+                    yield package
+
+                # Keep searching subdirectories, as there may be more packages
+                # down there, even if the parent was excluded.
+                dirs.append(dir)
+
+    @staticmethod
+    def _looks_like_package(path):
+        """Does a directory look like a package?"""
+        return os.path.isfile(os.path.join(path, '__init__.py'))
+
+    @staticmethod
+    def _build_filter(*patterns):
+        """
+        Given a list of patterns, return a callable that will be true only if
+        the input matches at least one of the patterns.
+        """
+        return lambda name: any(fnmatchcase(name, pat=pat) for pat in patterns)
+
+
+class PEP420PackageFinder(PackageFinder):
+    @staticmethod
+    def _looks_like_package(path):
+        return True
+
+
+find_packages = PackageFinder.find
+
+if PY3:
+  find_namespace_packages = PEP420PackageFinder.find
+
+
+def _install_setup_requires(attrs):
+    # Note: do not use `setuptools.Distribution` directly, as
+    # our PEP 517 backend patch `distutils.core.Distribution`.
+    dist = distutils.core.Distribution(dict(
+        (k, v) for k, v in attrs.items()
+        if k in ('dependency_links', 'setup_requires')
+    ))
+    # Honor setup.cfg's options.
+    dist.parse_config_files(ignore_option_errors=True)
+    if dist.setup_requires:
+        dist.fetch_build_eggs(dist.setup_requires)
+
+
+def setup(**attrs):
+    # Make sure we have any requirements needed to interpret 'attrs'.
+    _install_setup_requires(attrs)
+    return distutils.core.setup(**attrs)
+
+setup.__doc__ = distutils.core.setup.__doc__
+
+
+_Command = monkey.get_unpatched(distutils.core.Command)
+
+
+class Command(_Command):
+    __doc__ = _Command.__doc__
+
+    command_consumes_arguments = False
+
+    def __init__(self, dist, **kw):
+        """
+        Construct the command for dist, updating
+        vars(self) with any keyword parameters.
+        """
+        _Command.__init__(self, dist)
+        vars(self).update(kw)
+
+    def _ensure_stringlike(self, option, what, default=None):
+        val = getattr(self, option)
+        if val is None:
+            setattr(self, option, default)
+            return default
+        elif not isinstance(val, string_types):
+            raise DistutilsOptionError("'%s' must be a %s (got `%s`)"
+                                       % (option, what, val))
+        return val
+
+    def ensure_string_list(self, option):
+        r"""Ensure that 'option' is a list of strings.  If 'option' is
+        currently a string, we split it either on /,\s*/ or /\s+/, so
+        "foo bar baz", "foo,bar,baz", and "foo,   bar baz" all become
+        ["foo", "bar", "baz"].
+        """
+        val = getattr(self, option)
+        if val is None:
+            return
+        elif isinstance(val, string_types):
+            setattr(self, option, re.split(r',\s*|\s+', val))
+        else:
+            if isinstance(val, list):
+                ok = all(isinstance(v, string_types) for v in val)
+            else:
+                ok = False
+            if not ok:
+                raise DistutilsOptionError(
+                      "'%s' must be a list of strings (got %r)"
+                      % (option, val))
+
+    def reinitialize_command(self, command, reinit_subcommands=0, **kw):
+        cmd = _Command.reinitialize_command(self, command, reinit_subcommands)
+        vars(cmd).update(kw)
+        return cmd
+
+
+def _find_all_simple(path):
+    """
+    Find all files under 'path'
+    """
+    results = (
+        os.path.join(base, file)
+        for base, dirs, files in os.walk(path, followlinks=True)
+        for file in files
+    )
+    return filter(os.path.isfile, results)
+
+
+def findall(dir=os.curdir):
+    """
+    Find all files under 'dir' and return the list of full filenames.
+    Unless dir is '.', return full filenames with dir prepended.
+    """
+    files = _find_all_simple(dir)
+    if dir == os.curdir:
+        make_rel = functools.partial(os.path.relpath, start=dir)
+        files = map(make_rel, files)
+    return list(files)
+
+
+# Apply monkey patches
+monkey.patch_all()
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_deprecation_warning.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_deprecation_warning.py
new file mode 100644
index 0000000000000000000000000000000000000000..086b64dd3817c0c1a194ffc1959eeffdd2695bef
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_deprecation_warning.py
@@ -0,0 +1,7 @@
+class SetuptoolsDeprecationWarning(Warning):
+    """
+    Base class for warning deprecations in ``setuptools``
+
+    This class is not derived from ``DeprecationWarning``, and as such is
+    visible by default.
+    """
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/__about__.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/__about__.py
new file mode 100644
index 0000000000000000000000000000000000000000..95d330ef823aa2e12f7846bc63c0955b25df6029
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/__about__.py
@@ -0,0 +1,21 @@
+# This file is dual licensed under the terms of the Apache License, Version
+# 2.0, and the BSD License. See the LICENSE file in the root of this repository
+# for complete details.
+from __future__ import absolute_import, division, print_function
+
+__all__ = [
+    "__title__", "__summary__", "__uri__", "__version__", "__author__",
+    "__email__", "__license__", "__copyright__",
+]
+
+__title__ = "packaging"
+__summary__ = "Core utilities for Python packages"
+__uri__ = "https://github.com/pypa/packaging"
+
+__version__ = "16.8"
+
+__author__ = "Donald Stufft and individual contributors"
+__email__ = "donald@stufft.io"
+
+__license__ = "BSD or Apache License, Version 2.0"
+__copyright__ = "Copyright 2014-2016 %s" % __author__
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/__init__.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..5ee6220203e5425f900fb5a43676c24ea377c2fa
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/__init__.py
@@ -0,0 +1,14 @@
+# This file is dual licensed under the terms of the Apache License, Version
+# 2.0, and the BSD License. See the LICENSE file in the root of this repository
+# for complete details.
+from __future__ import absolute_import, division, print_function
+
+from .__about__ import (
+    __author__, __copyright__, __email__, __license__, __summary__, __title__,
+    __uri__, __version__
+)
+
+__all__ = [
+    "__title__", "__summary__", "__uri__", "__version__", "__author__",
+    "__email__", "__license__", "__copyright__",
+]
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/_compat.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/_compat.py
new file mode 100644
index 0000000000000000000000000000000000000000..210bb80b7e7b64cb79f7e7cdf3e42819fe3471fe
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/_compat.py
@@ -0,0 +1,30 @@
+# This file is dual licensed under the terms of the Apache License, Version
+# 2.0, and the BSD License. See the LICENSE file in the root of this repository
+# for complete details.
+from __future__ import absolute_import, division, print_function
+
+import sys
+
+
+PY2 = sys.version_info[0] == 2
+PY3 = sys.version_info[0] == 3
+
+# flake8: noqa
+
+if PY3:
+    string_types = str,
+else:
+    string_types = basestring,
+
+
+def with_metaclass(meta, *bases):
+    """
+    Create a base class with a metaclass.
+    """
+    # This requires a bit of explanation: the basic idea is to make a dummy
+    # metaclass for one level of class instantiation that replaces itself with
+    # the actual metaclass.
+    class metaclass(meta):
+        def __new__(cls, name, this_bases, d):
+            return meta(name, bases, d)
+    return type.__new__(metaclass, 'temporary_class', (), {})
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/_structures.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/_structures.py
new file mode 100644
index 0000000000000000000000000000000000000000..ccc27861c3a4d9efaa3db753c77c4515a627bd98
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/_structures.py
@@ -0,0 +1,68 @@
+# This file is dual licensed under the terms of the Apache License, Version
+# 2.0, and the BSD License. See the LICENSE file in the root of this repository
+# for complete details.
+from __future__ import absolute_import, division, print_function
+
+
+class Infinity(object):
+
+    def __repr__(self):
+        return "Infinity"
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __lt__(self, other):
+        return False
+
+    def __le__(self, other):
+        return False
+
+    def __eq__(self, other):
+        return isinstance(other, self.__class__)
+
+    def __ne__(self, other):
+        return not isinstance(other, self.__class__)
+
+    def __gt__(self, other):
+        return True
+
+    def __ge__(self, other):
+        return True
+
+    def __neg__(self):
+        return NegativeInfinity
+
+Infinity = Infinity()
+
+
+class NegativeInfinity(object):
+
+    def __repr__(self):
+        return "-Infinity"
+
+    def __hash__(self):
+        return hash(repr(self))
+
+    def __lt__(self, other):
+        return True
+
+    def __le__(self, other):
+        return True
+
+    def __eq__(self, other):
+        return isinstance(other, self.__class__)
+
+    def __ne__(self, other):
+        return not isinstance(other, self.__class__)
+
+    def __gt__(self, other):
+        return False
+
+    def __ge__(self, other):
+        return False
+
+    def __neg__(self):
+        return Infinity
+
+NegativeInfinity = NegativeInfinity()
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/markers.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/markers.py
new file mode 100644
index 0000000000000000000000000000000000000000..031332a3058f4bc47eadd320e63a2cdc6b76df25
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/markers.py
@@ -0,0 +1,301 @@
+# This file is dual licensed under the terms of the Apache License, Version
+# 2.0, and the BSD License. See the LICENSE file in the root of this repository
+# for complete details.
+from __future__ import absolute_import, division, print_function
+
+import operator
+import os
+import platform
+import sys
+
+from setuptools.extern.pyparsing import ParseException, ParseResults, stringStart, stringEnd
+from setuptools.extern.pyparsing import ZeroOrMore, Group, Forward, QuotedString
+from setuptools.extern.pyparsing import Literal as L  # noqa
+
+from ._compat import string_types
+from .specifiers import Specifier, InvalidSpecifier
+
+
+__all__ = [
+    "InvalidMarker", "UndefinedComparison", "UndefinedEnvironmentName",
+    "Marker", "default_environment",
+]
+
+
+class InvalidMarker(ValueError):
+    """
+    An invalid marker was found, users should refer to PEP 508.
+    """
+
+
+class UndefinedComparison(ValueError):
+    """
+    An invalid operation was attempted on a value that doesn't support it.
+    """
+
+
+class UndefinedEnvironmentName(ValueError):
+    """
+    A name was attempted to be used that does not exist inside of the
+    environment.
+    """
+
+
+class Node(object):
+
+    def __init__(self, value):
+        self.value = value
+
+    def __str__(self):
+        return str(self.value)
+
+    def __repr__(self):
+        return "<{0}({1!r})>".format(self.__class__.__name__, str(self))
+
+    def serialize(self):
+        raise NotImplementedError
+
+
+class Variable(Node):
+
+    def serialize(self):
+        return str(self)
+
+
+class Value(Node):
+
+    def serialize(self):
+        return '"{0}"'.format(self)
+
+
+class Op(Node):
+
+    def serialize(self):
+        return str(self)
+
+
+VARIABLE = (
+    L("implementation_version") |
+    L("platform_python_implementation") |
+    L("implementation_name") |
+    L("python_full_version") |
+    L("platform_release") |
+    L("platform_version") |
+    L("platform_machine") |
+    L("platform_system") |
+    L("python_version") |
+    L("sys_platform") |
+    L("os_name") |
+    L("os.name") |  # PEP-345
+    L("sys.platform") |  # PEP-345
+    L("platform.version") |  # PEP-345
+    L("platform.machine") |  # PEP-345
+    L("platform.python_implementation") |  # PEP-345
+    L("python_implementation") |  # undocumented setuptools legacy
+    L("extra")
+)
+ALIASES = {
+    'os.name': 'os_name',
+    'sys.platform': 'sys_platform',
+    'platform.version': 'platform_version',
+    'platform.machine': 'platform_machine',
+    'platform.python_implementation': 'platform_python_implementation',
+    'python_implementation': 'platform_python_implementation'
+}
+VARIABLE.setParseAction(lambda s, l, t: Variable(ALIASES.get(t[0], t[0])))
+
+VERSION_CMP = (
+    L("===") |
+    L("==") |
+    L(">=") |
+    L("<=") |
+    L("!=") |
+    L("~=") |
+    L(">") |
+    L("<")
+)
+
+MARKER_OP = VERSION_CMP | L("not in") | L("in")
+MARKER_OP.setParseAction(lambda s, l, t: Op(t[0]))
+
+MARKER_VALUE = QuotedString("'") | QuotedString('"')
+MARKER_VALUE.setParseAction(lambda s, l, t: Value(t[0]))
+
+BOOLOP = L("and") | L("or")
+
+MARKER_VAR = VARIABLE | MARKER_VALUE
+
+MARKER_ITEM = Group(MARKER_VAR + MARKER_OP + MARKER_VAR)
+MARKER_ITEM.setParseAction(lambda s, l, t: tuple(t[0]))
+
+LPAREN = L("(").suppress()
+RPAREN = L(")").suppress()
+
+MARKER_EXPR = Forward()
+MARKER_ATOM = MARKER_ITEM | Group(LPAREN + MARKER_EXPR + RPAREN)
+MARKER_EXPR << MARKER_ATOM + ZeroOrMore(BOOLOP + MARKER_EXPR)
+
+MARKER = stringStart + MARKER_EXPR + stringEnd
+
+
+def _coerce_parse_result(results):
+    if isinstance(results, ParseResults):
+        return [_coerce_parse_result(i) for i in results]
+    else:
+        return results
+
+
+def _format_marker(marker, first=True):
+    assert isinstance(marker, (list, tuple, string_types))
+
+    # Sometimes we have a structure like [[...]] which is a single item list
+    # where the single item is itself it's own list. In that case we want skip
+    # the rest of this function so that we don't get extraneous () on the
+    # outside.
+    if (isinstance(marker, list) and len(marker) == 1 and
+            isinstance(marker[0], (list, tuple))):
+        return _format_marker(marker[0])
+
+    if isinstance(marker, list):
+        inner = (_format_marker(m, first=False) for m in marker)
+        if first:
+            return " ".join(inner)
+        else:
+            return "(" + " ".join(inner) + ")"
+    elif isinstance(marker, tuple):
+        return " ".join([m.serialize() for m in marker])
+    else:
+        return marker
+
+
+_operators = {
+    "in": lambda lhs, rhs: lhs in rhs,
+    "not in": lambda lhs, rhs: lhs not in rhs,
+    "<": operator.lt,
+    "<=": operator.le,
+    "==": operator.eq,
+    "!=": operator.ne,
+    ">=": operator.ge,
+    ">": operator.gt,
+}
+
+
+def _eval_op(lhs, op, rhs):
+    try:
+        spec = Specifier("".join([op.serialize(), rhs]))
+    except InvalidSpecifier:
+        pass
+    else:
+        return spec.contains(lhs)
+
+    oper = _operators.get(op.serialize())
+    if oper is None:
+        raise UndefinedComparison(
+            "Undefined {0!r} on {1!r} and {2!r}.".format(op, lhs, rhs)
+        )
+
+    return oper(lhs, rhs)
+
+
+_undefined = object()
+
+
+def _get_env(environment, name):
+    value = environment.get(name, _undefined)
+
+    if value is _undefined:
+        raise UndefinedEnvironmentName(
+            "{0!r} does not exist in evaluation environment.".format(name)
+        )
+
+    return value
+
+
+def _evaluate_markers(markers, environment):
+    groups = [[]]
+
+    for marker in markers:
+        assert isinstance(marker, (list, tuple, string_types))
+
+        if isinstance(marker, list):
+            groups[-1].append(_evaluate_markers(marker, environment))
+        elif isinstance(marker, tuple):
+            lhs, op, rhs = marker
+
+            if isinstance(lhs, Variable):
+                lhs_value = _get_env(environment, lhs.value)
+                rhs_value = rhs.value
+            else:
+                lhs_value = lhs.value
+                rhs_value = _get_env(environment, rhs.value)
+
+            groups[-1].append(_eval_op(lhs_value, op, rhs_value))
+        else:
+            assert marker in ["and", "or"]
+            if marker == "or":
+                groups.append([])
+
+    return any(all(item) for item in groups)
+
+
+def format_full_version(info):
+    version = '{0.major}.{0.minor}.{0.micro}'.format(info)
+    kind = info.releaselevel
+    if kind != 'final':
+        version += kind[0] + str(info.serial)
+    return version
+
+
+def default_environment():
+    if hasattr(sys, 'implementation'):
+        iver = format_full_version(sys.implementation.version)
+        implementation_name = sys.implementation.name
+    else:
+        iver = '0'
+        implementation_name = ''
+
+    return {
+        "implementation_name": implementation_name,
+        "implementation_version": iver,
+        "os_name": os.name,
+        "platform_machine": platform.machine(),
+        "platform_release": platform.release(),
+        "platform_system": platform.system(),
+        "platform_version": platform.version(),
+        "python_full_version": platform.python_version(),
+        "platform_python_implementation": platform.python_implementation(),
+        "python_version": platform.python_version()[:3],
+        "sys_platform": sys.platform,
+    }
+
+
+class Marker(object):
+
+    def __init__(self, marker):
+        try:
+            self._markers = _coerce_parse_result(MARKER.parseString(marker))
+        except ParseException as e:
+            err_str = "Invalid marker: {0!r}, parse error at {1!r}".format(
+                marker, marker[e.loc:e.loc + 8])
+            raise InvalidMarker(err_str)
+
+    def __str__(self):
+        return _format_marker(self._markers)
+
+    def __repr__(self):
+        return "".format(str(self))
+
+    def evaluate(self, environment=None):
+        """Evaluate a marker.
+
+        Return the boolean from evaluating the given marker against the
+        environment. environment is an optional argument to override all or
+        part of the determined environment.
+
+        The environment is determined from the current Python process.
+        """
+        current_environment = default_environment()
+        if environment is not None:
+            current_environment.update(environment)
+
+        return _evaluate_markers(self._markers, current_environment)
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/requirements.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/requirements.py
new file mode 100644
index 0000000000000000000000000000000000000000..5b493416f215081b46c901d76c3a4b4648a32296
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/requirements.py
@@ -0,0 +1,127 @@
+# This file is dual licensed under the terms of the Apache License, Version
+# 2.0, and the BSD License. See the LICENSE file in the root of this repository
+# for complete details.
+from __future__ import absolute_import, division, print_function
+
+import string
+import re
+
+from setuptools.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
+from setuptools.extern.pyparsing import ZeroOrMore, Word, Optional, Regex, Combine
+from setuptools.extern.pyparsing import Literal as L  # noqa
+from setuptools.extern.six.moves.urllib import parse as urlparse
+
+from .markers import MARKER_EXPR, Marker
+from .specifiers import LegacySpecifier, Specifier, SpecifierSet
+
+
+class InvalidRequirement(ValueError):
+    """
+    An invalid requirement was found, users should refer to PEP 508.
+    """
+
+
+ALPHANUM = Word(string.ascii_letters + string.digits)
+
+LBRACKET = L("[").suppress()
+RBRACKET = L("]").suppress()
+LPAREN = L("(").suppress()
+RPAREN = L(")").suppress()
+COMMA = L(",").suppress()
+SEMICOLON = L(";").suppress()
+AT = L("@").suppress()
+
+PUNCTUATION = Word("-_.")
+IDENTIFIER_END = ALPHANUM | (ZeroOrMore(PUNCTUATION) + ALPHANUM)
+IDENTIFIER = Combine(ALPHANUM + ZeroOrMore(IDENTIFIER_END))
+
+NAME = IDENTIFIER("name")
+EXTRA = IDENTIFIER
+
+URI = Regex(r'[^ ]+')("url")
+URL = (AT + URI)
+
+EXTRAS_LIST = EXTRA + ZeroOrMore(COMMA + EXTRA)
+EXTRAS = (LBRACKET + Optional(EXTRAS_LIST) + RBRACKET)("extras")
+
+VERSION_PEP440 = Regex(Specifier._regex_str, re.VERBOSE | re.IGNORECASE)
+VERSION_LEGACY = Regex(LegacySpecifier._regex_str, re.VERBOSE | re.IGNORECASE)
+
+VERSION_ONE = VERSION_PEP440 ^ VERSION_LEGACY
+VERSION_MANY = Combine(VERSION_ONE + ZeroOrMore(COMMA + VERSION_ONE),
+                       joinString=",", adjacent=False)("_raw_spec")
+_VERSION_SPEC = Optional(((LPAREN + VERSION_MANY + RPAREN) | VERSION_MANY))
+_VERSION_SPEC.setParseAction(lambda s, l, t: t._raw_spec or '')
+
+VERSION_SPEC = originalTextFor(_VERSION_SPEC)("specifier")
+VERSION_SPEC.setParseAction(lambda s, l, t: t[1])
+
+MARKER_EXPR = originalTextFor(MARKER_EXPR())("marker")
+MARKER_EXPR.setParseAction(
+    lambda s, l, t: Marker(s[t._original_start:t._original_end])
+)
+MARKER_SEPERATOR = SEMICOLON
+MARKER = MARKER_SEPERATOR + MARKER_EXPR
+
+VERSION_AND_MARKER = VERSION_SPEC + Optional(MARKER)
+URL_AND_MARKER = URL + Optional(MARKER)
+
+NAMED_REQUIREMENT = \
+    NAME + Optional(EXTRAS) + (URL_AND_MARKER | VERSION_AND_MARKER)
+
+REQUIREMENT = stringStart + NAMED_REQUIREMENT + stringEnd
+
+
+class Requirement(object):
+    """Parse a requirement.
+
+    Parse a given requirement string into its parts, such as name, specifier,
+    URL, and extras. Raises InvalidRequirement on a badly-formed requirement
+    string.
+    """
+
+    # TODO: Can we test whether something is contained within a requirement?
+    #       If so how do we do that? Do we need to test against the _name_ of
+    #       the thing as well as the version? What about the markers?
+    # TODO: Can we normalize the name and extra name?
+
+    def __init__(self, requirement_string):
+        try:
+            req = REQUIREMENT.parseString(requirement_string)
+        except ParseException as e:
+            raise InvalidRequirement(
+                "Invalid requirement, parse error at \"{0!r}\"".format(
+                    requirement_string[e.loc:e.loc + 8]))
+
+        self.name = req.name
+        if req.url:
+            parsed_url = urlparse.urlparse(req.url)
+            if not (parsed_url.scheme and parsed_url.netloc) or (
+                    not parsed_url.scheme and not parsed_url.netloc):
+                raise InvalidRequirement("Invalid URL given")
+            self.url = req.url
+        else:
+            self.url = None
+        self.extras = set(req.extras.asList() if req.extras else [])
+        self.specifier = SpecifierSet(req.specifier)
+        self.marker = req.marker if req.marker else None
+
+    def __str__(self):
+        parts = [self.name]
+
+        if self.extras:
+            parts.append("[{0}]".format(",".join(sorted(self.extras))))
+
+        if self.specifier:
+            parts.append(str(self.specifier))
+
+        if self.url:
+            parts.append("@ {0}".format(self.url))
+
+        if self.marker:
+            parts.append("; {0}".format(self.marker))
+
+        return "".join(parts)
+
+    def __repr__(self):
+        return "".format(str(self))
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/specifiers.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/specifiers.py
new file mode 100644
index 0000000000000000000000000000000000000000..7f5a76cfd63f47dcce29b3ea82f59d10f4e8d771
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/_vendor/packaging/specifiers.py
@@ -0,0 +1,774 @@
+# This file is dual licensed under the terms of the Apache License, Version
+# 2.0, and the BSD License. See the LICENSE file in the root of this repository
+# for complete details.
+from __future__ import absolute_import, division, print_function
+
+import abc
+import functools
+import itertools
+import re
+
+from ._compat import string_types, with_metaclass
+from .version import Version, LegacyVersion, parse
+
+
+class InvalidSpecifier(ValueError):
+    """
+    An invalid specifier was found, users should refer to PEP 440.
+    """
+
+
+class BaseSpecifier(with_metaclass(abc.ABCMeta, object)):
+
+    @abc.abstractmethod
+    def __str__(self):
+        """
+        Returns the str representation of this Specifier like object. This
+        should be representative of the Specifier itself.
+        """
+
+    @abc.abstractmethod
+    def __hash__(self):
+        """
+        Returns a hash value for this Specifier like object.
+        """
+
+    @abc.abstractmethod
+    def __eq__(self, other):
+        """
+        Returns a boolean representing whether or not the two Specifier like
+        objects are equal.
+        """
+
+    @abc.abstractmethod
+    def __ne__(self, other):
+        """
+        Returns a boolean representing whether or not the two Specifier like
+        objects are not equal.
+        """
+
+    @abc.abstractproperty
+    def prereleases(self):
+        """
+        Returns whether or not pre-releases as a whole are allowed by this
+        specifier.
+        """
+
+    @prereleases.setter
+    def prereleases(self, value):
+        """
+        Sets whether or not pre-releases as a whole are allowed by this
+        specifier.
+        """
+
+    @abc.abstractmethod
+    def contains(self, item, prereleases=None):
+        """
+        Determines if the given item is contained within this specifier.
+        """
+
+    @abc.abstractmethod
+    def filter(self, iterable, prereleases=None):
+        """
+        Takes an iterable of items and filters them so that only items which
+        are contained within this specifier are allowed in it.
+        """
+
+
+class _IndividualSpecifier(BaseSpecifier):
+
+    _operators = {}
+
+    def __init__(self, spec="", prereleases=None):
+        match = self._regex.search(spec)
+        if not match:
+            raise InvalidSpecifier("Invalid specifier: '{0}'".format(spec))
+
+        self._spec = (
+            match.group("operator").strip(),
+            match.group("version").strip(),
+        )
+
+        # Store whether or not this Specifier should accept prereleases
+        self._prereleases = prereleases
+
+    def __repr__(self):
+        pre = (
+            ", prereleases={0!r}".format(self.prereleases)
+            if self._prereleases is not None
+            else ""
+        )
+
+        return "<{0}({1!r}{2})>".format(
+            self.__class__.__name__,
+            str(self),
+            pre,
+        )
+
+    def __str__(self):
+        return "{0}{1}".format(*self._spec)
+
+    def __hash__(self):
+        return hash(self._spec)
+
+    def __eq__(self, other):
+        if isinstance(other, string_types):
+            try:
+                other = self.__class__(other)
+            except InvalidSpecifier:
+                return NotImplemented
+        elif not isinstance(other, self.__class__):
+            return NotImplemented
+
+        return self._spec == other._spec
+
+    def __ne__(self, other):
+        if isinstance(other, string_types):
+            try:
+                other = self.__class__(other)
+            except InvalidSpecifier:
+                return NotImplemented
+        elif not isinstance(other, self.__class__):
+            return NotImplemented
+
+        return self._spec != other._spec
+
+    def _get_operator(self, op):
+        return getattr(self, "_compare_{0}".format(self._operators[op]))
+
+    def _coerce_version(self, version):
+        if not isinstance(version, (LegacyVersion, Version)):
+            version = parse(version)
+        return version
+
+    @property
+    def operator(self):
+        return self._spec[0]
+
+    @property
+    def version(self):
+        return self._spec[1]
+
+    @property
+    def prereleases(self):
+        return self._prereleases
+
+    @prereleases.setter
+    def prereleases(self, value):
+        self._prereleases = value
+
+    def __contains__(self, item):
+        return self.contains(item)
+
+    def contains(self, item, prereleases=None):
+        # Determine if prereleases are to be allowed or not.
+        if prereleases is None:
+            prereleases = self.prereleases
+
+        # Normalize item to a Version or LegacyVersion, this allows us to have
+        # a shortcut for ``"2.0" in Specifier(">=2")
+        item = self._coerce_version(item)
+
+        # Determine if we should be supporting prereleases in this specifier
+        # or not, if we do not support prereleases than we can short circuit
+        # logic if this version is a prereleases.
+        if item.is_prerelease and not prereleases:
+            return False
+
+        # Actually do the comparison to determine if this item is contained
+        # within this Specifier or not.
+        return self._get_operator(self.operator)(item, self.version)
+
+    def filter(self, iterable, prereleases=None):
+        yielded = False
+        found_prereleases = []
+
+        kw = {"prereleases": prereleases if prereleases is not None else True}
+
+        # Attempt to iterate over all the values in the iterable and if any of
+        # them match, yield them.
+        for version in iterable:
+            parsed_version = self._coerce_version(version)
+
+            if self.contains(parsed_version, **kw):
+                # If our version is a prerelease, and we were not set to allow
+                # prereleases, then we'll store it for later incase nothing
+                # else matches this specifier.
+                if (parsed_version.is_prerelease and not
+                        (prereleases or self.prereleases)):
+                    found_prereleases.append(version)
+                # Either this is not a prerelease, or we should have been
+                # accepting prereleases from the begining.
+                else:
+                    yielded = True
+                    yield version
+
+        # Now that we've iterated over everything, determine if we've yielded
+        # any values, and if we have not and we have any prereleases stored up
+        # then we will go ahead and yield the prereleases.
+        if not yielded and found_prereleases:
+            for version in found_prereleases:
+                yield version
+
+
+class LegacySpecifier(_IndividualSpecifier):
+
+    _regex_str = (
+        r"""
+        (?P(==|!=|<=|>=|<|>))
+        \s*
+        (?P
+            [^,;\s)]* # Since this is a "legacy" specifier, and the version
+                      # string can be just about anything, we match everything
+                      # except for whitespace, a semi-colon for marker support,
+                      # a closing paren since versions can be enclosed in
+                      # them, and a comma since it's a version separator.
+        )
+        """
+    )
+
+    _regex = re.compile(
+        r"^\s*" + _regex_str + r"\s*$", re.VERBOSE | re.IGNORECASE)
+
+    _operators = {
+        "==": "equal",
+        "!=": "not_equal",
+        "<=": "less_than_equal",
+        ">=": "greater_than_equal",
+        "<": "less_than",
+        ">": "greater_than",
+    }
+
+    def _coerce_version(self, version):
+        if not isinstance(version, LegacyVersion):
+            version = LegacyVersion(str(version))
+        return version
+
+    def _compare_equal(self, prospective, spec):
+        return prospective == self._coerce_version(spec)
+
+    def _compare_not_equal(self, prospective, spec):
+        return prospective != self._coerce_version(spec)
+
+    def _compare_less_than_equal(self, prospective, spec):
+        return prospective <= self._coerce_version(spec)
+
+    def _compare_greater_than_equal(self, prospective, spec):
+        return prospective >= self._coerce_version(spec)
+
+    def _compare_less_than(self, prospective, spec):
+        return prospective < self._coerce_version(spec)
+
+    def _compare_greater_than(self, prospective, spec):
+        return prospective > self._coerce_version(spec)
+
+
+def _require_version_compare(fn):
+    @functools.wraps(fn)
+    def wrapped(self, prospective, spec):
+        if not isinstance(prospective, Version):
+            return False
+        return fn(self, prospective, spec)
+    return wrapped
+
+
+class Specifier(_IndividualSpecifier):
+
+    _regex_str = (
+        r"""
+        (?P(~=|==|!=|<=|>=|<|>|===))
+        (?P
+            (?:
+                # The identity operators allow for an escape hatch that will
+                # do an exact string match of the version you wish to install.
+                # This will not be parsed by PEP 440 and we cannot determine
+                # any semantic meaning from it. This operator is discouraged
+                # but included entirely as an escape hatch.
+                (?<====)  # Only match for the identity operator
+                \s*
+                [^\s]*    # We just match everything, except for whitespace
+                          # since we are only testing for strict identity.
+            )
+            |
+            (?:
+                # The (non)equality operators allow for wild card and local
+                # versions to be specified so we have to define these two
+                # operators separately to enable that.
+                (?<===|!=)            # Only match for equals and not equals
+
+                \s*
+                v?
+                (?:[0-9]+!)?          # epoch
+                [0-9]+(?:\.[0-9]+)*   # release
+                (?:                   # pre release
+                    [-_\.]?
+                    (a|b|c|rc|alpha|beta|pre|preview)
+                    [-_\.]?
+                    [0-9]*
+                )?
+                (?:                   # post release
+                    (?:-[0-9]+)|(?:[-_\.]?(post|rev|r)[-_\.]?[0-9]*)
+                )?
+
+                # You cannot use a wild card and a dev or local version
+                # together so group them with a | and make them optional.
+                (?:
+                    (?:[-_\.]?dev[-_\.]?[0-9]*)?         # dev release
+                    (?:\+[a-z0-9]+(?:[-_\.][a-z0-9]+)*)? # local
+                    |
+                    \.\*  # Wild card syntax of .*
+                )?
+            )
+            |
+            (?:
+                # The compatible operator requires at least two digits in the
+                # release segment.
+                (?<=~=)               # Only match for the compatible operator
+
+                \s*
+                v?
+                (?:[0-9]+!)?          # epoch
+                [0-9]+(?:\.[0-9]+)+   # release  (We have a + instead of a *)
+                (?:                   # pre release
+                    [-_\.]?
+                    (a|b|c|rc|alpha|beta|pre|preview)
+                    [-_\.]?
+                    [0-9]*
+                )?
+                (?:                                   # post release
+                    (?:-[0-9]+)|(?:[-_\.]?(post|rev|r)[-_\.]?[0-9]*)
+                )?
+                (?:[-_\.]?dev[-_\.]?[0-9]*)?          # dev release
+            )
+            |
+            (?:
+                # All other operators only allow a sub set of what the
+                # (non)equality operators do. Specifically they do not allow
+                # local versions to be specified nor do they allow the prefix
+                # matching wild cards.
+                (?=": "greater_than_equal",
+        "<": "less_than",
+        ">": "greater_than",
+        "===": "arbitrary",
+    }
+
+    @_require_version_compare
+    def _compare_compatible(self, prospective, spec):
+        # Compatible releases have an equivalent combination of >= and ==. That
+        # is that ~=2.2 is equivalent to >=2.2,==2.*. This allows us to
+        # implement this in terms of the other specifiers instead of
+        # implementing it ourselves. The only thing we need to do is construct
+        # the other specifiers.
+
+        # We want everything but the last item in the version, but we want to
+        # ignore post and dev releases and we want to treat the pre-release as
+        # it's own separate segment.
+        prefix = ".".join(
+            list(
+                itertools.takewhile(
+                    lambda x: (not x.startswith("post") and not
+                               x.startswith("dev")),
+                    _version_split(spec),
+                )
+            )[:-1]
+        )
+
+        # Add the prefix notation to the end of our string
+        prefix += ".*"
+
+        return (self._get_operator(">=")(prospective, spec) and
+                self._get_operator("==")(prospective, prefix))
+
+    @_require_version_compare
+    def _compare_equal(self, prospective, spec):
+        # We need special logic to handle prefix matching
+        if spec.endswith(".*"):
+            # In the case of prefix matching we want to ignore local segment.
+            prospective = Version(prospective.public)
+            # Split the spec out by dots, and pretend that there is an implicit
+            # dot in between a release segment and a pre-release segment.
+            spec = _version_split(spec[:-2])  # Remove the trailing .*
+
+            # Split the prospective version out by dots, and pretend that there
+            # is an implicit dot in between a release segment and a pre-release
+            # segment.
+            prospective = _version_split(str(prospective))
+
+            # Shorten the prospective version to be the same length as the spec
+            # so that we can determine if the specifier is a prefix of the
+            # prospective version or not.
+            prospective = prospective[:len(spec)]
+
+            # Pad out our two sides with zeros so that they both equal the same
+            # length.
+            spec, prospective = _pad_version(spec, prospective)
+        else:
+            # Convert our spec string into a Version
+            spec = Version(spec)
+
+            # If the specifier does not have a local segment, then we want to
+            # act as if the prospective version also does not have a local
+            # segment.
+            if not spec.local:
+                prospective = Version(prospective.public)
+
+        return prospective == spec
+
+    @_require_version_compare
+    def _compare_not_equal(self, prospective, spec):
+        return not self._compare_equal(prospective, spec)
+
+    @_require_version_compare
+    def _compare_less_than_equal(self, prospective, spec):
+        return prospective <= Version(spec)
+
+    @_require_version_compare
+    def _compare_greater_than_equal(self, prospective, spec):
+        return prospective >= Version(spec)
+
+    @_require_version_compare
+    def _compare_less_than(self, prospective, spec):
+        # Convert our spec to a Version instance, since we'll want to work with
+        # it as a version.
+        spec = Version(spec)
+
+        # Check to see if the prospective version is less than the spec
+        # version. If it's not we can short circuit and just return False now
+        # instead of doing extra unneeded work.
+        if not prospective < spec:
+            return False
+
+        # This special case is here so that, unless the specifier itself
+        # includes is a pre-release version, that we do not accept pre-release
+        # versions for the version mentioned in the specifier (e.g. <3.1 should
+        # not match 3.1.dev0, but should match 3.0.dev0).
+        if not spec.is_prerelease and prospective.is_prerelease:
+            if Version(prospective.base_version) == Version(spec.base_version):
+                return False
+
+        # If we've gotten to here, it means that prospective version is both
+        # less than the spec version *and* it's not a pre-release of the same
+        # version in the spec.
+        return True
+
+    @_require_version_compare
+    def _compare_greater_than(self, prospective, spec):
+        # Convert our spec to a Version instance, since we'll want to work with
+        # it as a version.
+        spec = Version(spec)
+
+        # Check to see if the prospective version is greater than the spec
+        # version. If it's not we can short circuit and just return False now
+        # instead of doing extra unneeded work.
+        if not prospective > spec:
+            return False
+
+        # This special case is here so that, unless the specifier itself
+        # includes is a post-release version, that we do not accept
+        # post-release versions for the version mentioned in the specifier
+        # (e.g. >3.1 should not match 3.0.post0, but should match 3.2.post0).
+        if not spec.is_postrelease and prospective.is_postrelease:
+            if Version(prospective.base_version) == Version(spec.base_version):
+                return False
+
+        # Ensure that we do not allow a local version of the version mentioned
+        # in the specifier, which is techincally greater than, to match.
+        if prospective.local is not None:
+            if Version(prospective.base_version) == Version(spec.base_version):
+                return False
+
+        # If we've gotten to here, it means that prospective version is both
+        # greater than the spec version *and* it's not a pre-release of the
+        # same version in the spec.
+        return True
+
+    def _compare_arbitrary(self, prospective, spec):
+        return str(prospective).lower() == str(spec).lower()
+
+    @property
+    def prereleases(self):
+        # If there is an explicit prereleases set for this, then we'll just
+        # blindly use that.
+        if self._prereleases is not None:
+            return self._prereleases
+
+        # Look at all of our specifiers and determine if they are inclusive
+        # operators, and if they are if they are including an explicit
+        # prerelease.
+        operator, version = self._spec
+        if operator in ["==", ">=", "<=", "~=", "==="]:
+            # The == specifier can include a trailing .*, if it does we
+            # want to remove before parsing.
+            if operator == "==" and version.endswith(".*"):
+                version = version[:-2]
+
+            # Parse the version, and if it is a pre-release than this
+            # specifier allows pre-releases.
+            if parse(version).is_prerelease:
+                return True
+
+        return False
+
+    @prereleases.setter
+    def prereleases(self, value):
+        self._prereleases = value
+
+
+_prefix_regex = re.compile(r"^([0-9]+)((?:a|b|c|rc)[0-9]+)$")
+
+
+def _version_split(version):
+    result = []
+    for item in version.split("."):
+        match = _prefix_regex.search(item)
+        if match:
+            result.extend(match.groups())
+        else:
+            result.append(item)
+    return result
+
+
+def _pad_version(left, right):
+    left_split, right_split = [], []
+
+    # Get the release segment of our versions
+    left_split.append(list(itertools.takewhile(lambda x: x.isdigit(), left)))
+    right_split.append(list(itertools.takewhile(lambda x: x.isdigit(), right)))
+
+    # Get the rest of our versions
+    left_split.append(left[len(left_split[0]):])
+    right_split.append(right[len(right_split[0]):])
+
+    # Insert our padding
+    left_split.insert(
+        1,
+        ["0"] * max(0, len(right_split[0]) - len(left_split[0])),
+    )
+    right_split.insert(
+        1,
+        ["0"] * max(0, len(left_split[0]) - len(right_split[0])),
+    )
+
+    return (
+        list(itertools.chain(*left_split)),
+        list(itertools.chain(*right_split)),
+    )
+
+
+class SpecifierSet(BaseSpecifier):
+
+    def __init__(self, specifiers="", prereleases=None):
+        # Split on , to break each indidivual specifier into it's own item, and
+        # strip each item to remove leading/trailing whitespace.
+        specifiers = [s.strip() for s in specifiers.split(",") if s.strip()]
+
+        # Parsed each individual specifier, attempting first to make it a
+        # Specifier and falling back to a LegacySpecifier.
+        parsed = set()
+        for specifier in specifiers:
+            try:
+                parsed.add(Specifier(specifier))
+            except InvalidSpecifier:
+                parsed.add(LegacySpecifier(specifier))
+
+        # Turn our parsed specifiers into a frozen set and save them for later.
+        self._specs = frozenset(parsed)
+
+        # Store our prereleases value so we can use it later to determine if
+        # we accept prereleases or not.
+        self._prereleases = prereleases
+
+    def __repr__(self):
+        pre = (
+            ", prereleases={0!r}".format(self.prereleases)
+            if self._prereleases is not None
+            else ""
+        )
+
+        return "".format(str(self), pre)
+
+    def __str__(self):
+        return ",".join(sorted(str(s) for s in self._specs))
+
+    def __hash__(self):
+        return hash(self._specs)
+
+    def __and__(self, other):
+        if isinstance(other, string_types):
+            other = SpecifierSet(other)
+        elif not isinstance(other, SpecifierSet):
+            return NotImplemented
+
+        specifier = SpecifierSet()
+        specifier._specs = frozenset(self._specs | other._specs)
+
+        if self._prereleases is None and other._prereleases is not None:
+            specifier._prereleases = other._prereleases
+        elif self._prereleases is not None and other._prereleases is None:
+            specifier._prereleases = self._prereleases
+        elif self._prereleases == other._prereleases:
+            specifier._prereleases = self._prereleases
+        else:
+            raise ValueError(
+                "Cannot combine SpecifierSets with True and False prerelease "
+                "overrides."
+            )
+
+        return specifier
+
+    def __eq__(self, other):
+        if isinstance(other, string_types):
+            other = SpecifierSet(other)
+        elif isinstance(other, _IndividualSpecifier):
+            other = SpecifierSet(str(other))
+        elif not isinstance(other, SpecifierSet):
+            return NotImplemented
+
+        return self._specs == other._specs
+
+    def __ne__(self, other):
+        if isinstance(other, string_types):
+            other = SpecifierSet(other)
+        elif isinstance(other, _IndividualSpecifier):
+            other = SpecifierSet(str(other))
+        elif not isinstance(other, SpecifierSet):
+            return NotImplemented
+
+        return self._specs != other._specs
+
+    def __len__(self):
+        return len(self._specs)
+
+    def __iter__(self):
+        return iter(self._specs)
+
+    @property
+    def prereleases(self):
+        # If we have been given an explicit prerelease modifier, then we'll
+        # pass that through here.
+        if self._prereleases is not None:
+            return self._prereleases
+
+        # If we don't have any specifiers, and we don't have a forced value,
+        # then we'll just return None since we don't know if this should have
+        # pre-releases or not.
+        if not self._specs:
+            return None
+
+        # Otherwise we'll see if any of the given specifiers accept
+        # prereleases, if any of them do we'll return True, otherwise False.
+        return any(s.prereleases for s in self._specs)
+
+    @prereleases.setter
+    def prereleases(self, value):
+        self._prereleases = value
+
+    def __contains__(self, item):
+        return self.contains(item)
+
+    def contains(self, item, prereleases=None):
+        # Ensure that our item is a Version or LegacyVersion instance.
+        if not isinstance(item, (LegacyVersion, Version)):
+            item = parse(item)
+
+        # Determine if we're forcing a prerelease or not, if we're not forcing
+        # one for this particular filter call, then we'll use whatever the
+        # SpecifierSet thinks for whether or not we should support prereleases.
+        if prereleases is None:
+            prereleases = self.prereleases
+
+        # We can determine if we're going to allow pre-releases by looking to
+        # see if any of the underlying items supports them. If none of them do
+        # and this item is a pre-release then we do not allow it and we can
+        # short circuit that here.
+        # Note: This means that 1.0.dev1 would not be contained in something
+        #       like >=1.0.devabc however it would be in >=1.0.debabc,>0.0.dev0
+        if not prereleases and item.is_prerelease:
+            return False
+
+        # We simply dispatch to the underlying specs here to make sure that the
+        # given version is contained within all of them.
+        # Note: This use of all() here means that an empty set of specifiers
+        #       will always return True, this is an explicit design decision.
+        return all(
+            s.contains(item, prereleases=prereleases)
+            for s in self._specs
+        )
+
+    def filter(self, iterable, prereleases=None):
+        # Determine if we're forcing a prerelease or not, if we're not forcing
+        # one for this particular filter call, then we'll use whatever the
+        # SpecifierSet thinks for whether or not we should support prereleases.
+        if prereleases is None:
+            prereleases = self.prereleases
+
+        # If we have any specifiers, then we want to wrap our iterable in the
+        # filter method for each one, this will act as a logical AND amongst
+        # each specifier.
+        if self._specs:
+            for spec in self._specs:
+                iterable = spec.filter(iterable, prereleases=bool(prereleases))
+            return iterable
+        # If we do not have any specifiers, then we need to have a rough filter
+        # which will filter out any pre-releases, unless there are no final
+        # releases, and which will filter out LegacyVersion in general.
+        else:
+            filtered = []
+            found_prereleases = []
+
+            for item in iterable:
+                # Ensure that we some kind of Version class for this item.
+                if not isinstance(item, (LegacyVersion, Version)):
+                    parsed_version = parse(item)
+                else:
+                    parsed_version = item
+
+                # Filter out any item which is parsed as a LegacyVersion
+                if isinstance(parsed_version, LegacyVersion):
+                    continue
+
+                # Store any item which is a pre-release for later unless we've
+                # already found a final version or we are accepting prereleases
+                if parsed_version.is_prerelease and not prereleases:
+                    if not filtered:
+                        found_prereleases.append(item)
+                else:
+                    filtered.append(item)
+
+            # If we've found no items except for pre-releases, then we'll go
+            # ahead and use the pre-releases
+            if not filtered and found_prereleases and prereleases is None:
+                return found_prereleases
+
+            return filtered
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/archive_util.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/archive_util.py
new file mode 100644
index 0000000000000000000000000000000000000000..81436044d995ff430334a7ef324b08e616f4b7a7
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/archive_util.py
@@ -0,0 +1,173 @@
+"""Utilities for extracting common archive formats"""
+
+import zipfile
+import tarfile
+import os
+import shutil
+import posixpath
+import contextlib
+from distutils.errors import DistutilsError
+
+from pkg_resources import ensure_directory
+
+__all__ = [
+    "unpack_archive", "unpack_zipfile", "unpack_tarfile", "default_filter",
+    "UnrecognizedFormat", "extraction_drivers", "unpack_directory",
+]
+
+
+class UnrecognizedFormat(DistutilsError):
+    """Couldn't recognize the archive type"""
+
+
+def default_filter(src, dst):
+    """The default progress/filter callback; returns True for all files"""
+    return dst
+
+
+def unpack_archive(filename, extract_dir, progress_filter=default_filter,
+        drivers=None):
+    """Unpack `filename` to `extract_dir`, or raise ``UnrecognizedFormat``
+
+    `progress_filter` is a function taking two arguments: a source path
+    internal to the archive ('/'-separated), and a filesystem path where it
+    will be extracted.  The callback must return the desired extract path
+    (which may be the same as the one passed in), or else ``None`` to skip
+    that file or directory.  The callback can thus be used to report on the
+    progress of the extraction, as well as to filter the items extracted or
+    alter their extraction paths.
+
+    `drivers`, if supplied, must be a non-empty sequence of functions with the
+    same signature as this function (minus the `drivers` argument), that raise
+    ``UnrecognizedFormat`` if they do not support extracting the designated
+    archive type.  The `drivers` are tried in sequence until one is found that
+    does not raise an error, or until all are exhausted (in which case
+    ``UnrecognizedFormat`` is raised).  If you do not supply a sequence of
+    drivers, the module's ``extraction_drivers`` constant will be used, which
+    means that ``unpack_zipfile`` and ``unpack_tarfile`` will be tried, in that
+    order.
+    """
+    for driver in drivers or extraction_drivers:
+        try:
+            driver(filename, extract_dir, progress_filter)
+        except UnrecognizedFormat:
+            continue
+        else:
+            return
+    else:
+        raise UnrecognizedFormat(
+            "Not a recognized archive type: %s" % filename
+        )
+
+
+def unpack_directory(filename, extract_dir, progress_filter=default_filter):
+    """"Unpack" a directory, using the same interface as for archives
+
+    Raises ``UnrecognizedFormat`` if `filename` is not a directory
+    """
+    if not os.path.isdir(filename):
+        raise UnrecognizedFormat("%s is not a directory" % filename)
+
+    paths = {
+        filename: ('', extract_dir),
+    }
+    for base, dirs, files in os.walk(filename):
+        src, dst = paths[base]
+        for d in dirs:
+            paths[os.path.join(base, d)] = src + d + '/', os.path.join(dst, d)
+        for f in files:
+            target = os.path.join(dst, f)
+            target = progress_filter(src + f, target)
+            if not target:
+                # skip non-files
+                continue
+            ensure_directory(target)
+            f = os.path.join(base, f)
+            shutil.copyfile(f, target)
+            shutil.copystat(f, target)
+
+
+def unpack_zipfile(filename, extract_dir, progress_filter=default_filter):
+    """Unpack zip `filename` to `extract_dir`
+
+    Raises ``UnrecognizedFormat`` if `filename` is not a zipfile (as determined
+    by ``zipfile.is_zipfile()``).  See ``unpack_archive()`` for an explanation
+    of the `progress_filter` argument.
+    """
+
+    if not zipfile.is_zipfile(filename):
+        raise UnrecognizedFormat("%s is not a zip file" % (filename,))
+
+    with zipfile.ZipFile(filename) as z:
+        for info in z.infolist():
+            name = info.filename
+
+            # don't extract absolute paths or ones with .. in them
+            if name.startswith('/') or '..' in name.split('/'):
+                continue
+
+            target = os.path.join(extract_dir, *name.split('/'))
+            target = progress_filter(name, target)
+            if not target:
+                continue
+            if name.endswith('/'):
+                # directory
+                ensure_directory(target)
+            else:
+                # file
+                ensure_directory(target)
+                data = z.read(info.filename)
+                with open(target, 'wb') as f:
+                    f.write(data)
+            unix_attributes = info.external_attr >> 16
+            if unix_attributes:
+                os.chmod(target, unix_attributes)
+
+
+def unpack_tarfile(filename, extract_dir, progress_filter=default_filter):
+    """Unpack tar/tar.gz/tar.bz2 `filename` to `extract_dir`
+
+    Raises ``UnrecognizedFormat`` if `filename` is not a tarfile (as determined
+    by ``tarfile.open()``).  See ``unpack_archive()`` for an explanation
+    of the `progress_filter` argument.
+    """
+    try:
+        tarobj = tarfile.open(filename)
+    except tarfile.TarError:
+        raise UnrecognizedFormat(
+            "%s is not a compressed or uncompressed tar file" % (filename,)
+        )
+    with contextlib.closing(tarobj):
+        # don't do any chowning!
+        tarobj.chown = lambda *args: None
+        for member in tarobj:
+            name = member.name
+            # don't extract absolute paths or ones with .. in them
+            if not name.startswith('/') and '..' not in name.split('/'):
+                prelim_dst = os.path.join(extract_dir, *name.split('/'))
+
+                # resolve any links and to extract the link targets as normal
+                # files
+                while member is not None and (member.islnk() or member.issym()):
+                    linkpath = member.linkname
+                    if member.issym():
+                        base = posixpath.dirname(member.name)
+                        linkpath = posixpath.join(base, linkpath)
+                        linkpath = posixpath.normpath(linkpath)
+                    member = tarobj._getmember(linkpath)
+
+                if member is not None and (member.isfile() or member.isdir()):
+                    final_dst = progress_filter(name, prelim_dst)
+                    if final_dst:
+                        if final_dst.endswith(os.sep):
+                            final_dst = final_dst[:-1]
+                        try:
+                            # XXX Ugh
+                            tarobj._extract_member(member, final_dst)
+                        except tarfile.ExtractError:
+                            # chown/chmod/mkfifo/mknode/makedev failed
+                            pass
+        return True
+
+
+extraction_drivers = unpack_directory, unpack_zipfile, unpack_tarfile
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/build_meta.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/build_meta.py
new file mode 100644
index 0000000000000000000000000000000000000000..10c4b528d996d23a1319e3fed755aef0e6da2eb9
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/build_meta.py
@@ -0,0 +1,257 @@
+"""A PEP 517 interface to setuptools
+
+Previously, when a user or a command line tool (let's call it a "frontend")
+needed to make a request of setuptools to take a certain action, for
+example, generating a list of installation requirements, the frontend would
+would call "setup.py egg_info" or "setup.py bdist_wheel" on the command line.
+
+PEP 517 defines a different method of interfacing with setuptools. Rather
+than calling "setup.py" directly, the frontend should:
+
+  1. Set the current directory to the directory with a setup.py file
+  2. Import this module into a safe python interpreter (one in which
+     setuptools can potentially set global variables or crash hard).
+  3. Call one of the functions defined in PEP 517.
+
+What each function does is defined in PEP 517. However, here is a "casual"
+definition of the functions (this definition should not be relied on for
+bug reports or API stability):
+
+  - `build_wheel`: build a wheel in the folder and return the basename
+  - `get_requires_for_build_wheel`: get the `setup_requires` to build
+  - `prepare_metadata_for_build_wheel`: get the `install_requires`
+  - `build_sdist`: build an sdist in the folder and return the basename
+  - `get_requires_for_build_sdist`: get the `setup_requires` to build
+
+Again, this is not a formal definition! Just a "taste" of the module.
+"""
+
+import io
+import os
+import sys
+import tokenize
+import shutil
+import contextlib
+
+import setuptools
+import distutils
+from setuptools.py31compat import TemporaryDirectory
+
+from pkg_resources import parse_requirements
+from pkg_resources.py31compat import makedirs
+
+__all__ = ['get_requires_for_build_sdist',
+           'get_requires_for_build_wheel',
+           'prepare_metadata_for_build_wheel',
+           'build_wheel',
+           'build_sdist',
+           '__legacy__',
+           'SetupRequirementsError']
+
+class SetupRequirementsError(BaseException):
+    def __init__(self, specifiers):
+        self.specifiers = specifiers
+
+
+class Distribution(setuptools.dist.Distribution):
+    def fetch_build_eggs(self, specifiers):
+        specifier_list = list(map(str, parse_requirements(specifiers)))
+
+        raise SetupRequirementsError(specifier_list)
+
+    @classmethod
+    @contextlib.contextmanager
+    def patch(cls):
+        """
+        Replace
+        distutils.dist.Distribution with this class
+        for the duration of this context.
+        """
+        orig = distutils.core.Distribution
+        distutils.core.Distribution = cls
+        try:
+            yield
+        finally:
+            distutils.core.Distribution = orig
+
+
+def _to_str(s):
+    """
+    Convert a filename to a string (on Python 2, explicitly
+    a byte string, not Unicode) as distutils checks for the
+    exact type str.
+    """
+    if sys.version_info[0] == 2 and not isinstance(s, str):
+        # Assume it's Unicode, as that's what the PEP says
+        # should be provided.
+        return s.encode(sys.getfilesystemencoding())
+    return s
+
+
+def _get_immediate_subdirectories(a_dir):
+    return [name for name in os.listdir(a_dir)
+            if os.path.isdir(os.path.join(a_dir, name))]
+
+
+def _file_with_extension(directory, extension):
+    matching = (
+        f for f in os.listdir(directory)
+        if f.endswith(extension)
+    )
+    file, = matching
+    return file
+
+
+def _open_setup_script(setup_script):
+    if not os.path.exists(setup_script):
+        # Supply a default setup.py
+        return io.StringIO(u"from setuptools import setup; setup()")
+
+    return getattr(tokenize, 'open', open)(setup_script)
+
+
+class _BuildMetaBackend(object):
+
+    def _fix_config(self, config_settings):
+        config_settings = config_settings or {}
+        config_settings.setdefault('--global-option', [])
+        return config_settings
+
+    def _get_build_requires(self, config_settings, requirements):
+        config_settings = self._fix_config(config_settings)
+
+        sys.argv = sys.argv[:1] + ['egg_info'] + \
+            config_settings["--global-option"]
+        try:
+            with Distribution.patch():
+                self.run_setup()
+        except SetupRequirementsError as e:
+            requirements += e.specifiers
+
+        return requirements
+
+    def run_setup(self, setup_script='setup.py'):
+        # Note that we can reuse our build directory between calls
+        # Correctness comes first, then optimization later
+        __file__ = setup_script
+        __name__ = '__main__'
+
+        with _open_setup_script(__file__) as f:
+            code = f.read().replace(r'\r\n', r'\n')
+
+        exec(compile(code, __file__, 'exec'), locals())
+
+    def get_requires_for_build_wheel(self, config_settings=None):
+        config_settings = self._fix_config(config_settings)
+        return self._get_build_requires(config_settings, requirements=['wheel'])
+
+    def get_requires_for_build_sdist(self, config_settings=None):
+        config_settings = self._fix_config(config_settings)
+        return self._get_build_requires(config_settings, requirements=[])
+
+    def prepare_metadata_for_build_wheel(self, metadata_directory,
+                                         config_settings=None):
+        sys.argv = sys.argv[:1] + ['dist_info', '--egg-base',
+                                   _to_str(metadata_directory)]
+        self.run_setup()
+
+        dist_info_directory = metadata_directory
+        while True:
+            dist_infos = [f for f in os.listdir(dist_info_directory)
+                          if f.endswith('.dist-info')]
+
+            if (len(dist_infos) == 0 and
+                len(_get_immediate_subdirectories(dist_info_directory)) == 1):
+
+                dist_info_directory = os.path.join(
+                    dist_info_directory, os.listdir(dist_info_directory)[0])
+                continue
+
+            assert len(dist_infos) == 1
+            break
+
+        # PEP 517 requires that the .dist-info directory be placed in the
+        # metadata_directory. To comply, we MUST copy the directory to the root
+        if dist_info_directory != metadata_directory:
+            shutil.move(
+                os.path.join(dist_info_directory, dist_infos[0]),
+                metadata_directory)
+            shutil.rmtree(dist_info_directory, ignore_errors=True)
+
+        return dist_infos[0]
+
+    def _build_with_temp_dir(self, setup_command, result_extension,
+                             result_directory, config_settings):
+        config_settings = self._fix_config(config_settings)
+        result_directory = os.path.abspath(result_directory)
+
+        # Build in a temporary directory, then copy to the target.
+        makedirs(result_directory, exist_ok=True)
+        with TemporaryDirectory(dir=result_directory) as tmp_dist_dir:
+            sys.argv = (sys.argv[:1] + setup_command +
+                        ['--dist-dir', tmp_dist_dir] +
+                        config_settings["--global-option"])
+            self.run_setup()
+
+            result_basename = _file_with_extension(tmp_dist_dir, result_extension)
+            result_path = os.path.join(result_directory, result_basename)
+            if os.path.exists(result_path):
+                # os.rename will fail overwriting on non-Unix.
+                os.remove(result_path)
+            os.rename(os.path.join(tmp_dist_dir, result_basename), result_path)
+
+        return result_basename
+
+
+    def build_wheel(self, wheel_directory, config_settings=None,
+                    metadata_directory=None):
+        return self._build_with_temp_dir(['bdist_wheel'], '.whl',
+                                         wheel_directory, config_settings)
+
+    def build_sdist(self, sdist_directory, config_settings=None):
+        return self._build_with_temp_dir(['sdist', '--formats', 'gztar'],
+                                         '.tar.gz', sdist_directory,
+                                         config_settings)
+
+
+class _BuildMetaLegacyBackend(_BuildMetaBackend):
+    """Compatibility backend for setuptools
+
+    This is a version of setuptools.build_meta that endeavors to maintain backwards
+    compatibility with pre-PEP 517 modes of invocation. It exists as a temporary
+    bridge between the old packaging mechanism and the new packaging mechanism,
+    and will eventually be removed.
+    """
+    def run_setup(self, setup_script='setup.py'):
+        # In order to maintain compatibility with scripts assuming that
+        # the setup.py script is in a directory on the PYTHONPATH, inject
+        # '' into sys.path. (pypa/setuptools#1642)
+        sys_path = list(sys.path)           # Save the original path
+
+        script_dir = os.path.dirname(os.path.abspath(setup_script))
+        if script_dir not in sys.path:
+            sys.path.insert(0, script_dir)
+
+        try:
+            super(_BuildMetaLegacyBackend,
+                  self).run_setup(setup_script=setup_script)
+        finally:
+            # While PEP 517 frontends should be calling each hook in a fresh
+            # subprocess according to the standard (and thus it should not be
+            # strictly necessary to restore the old sys.path), we'll restore
+            # the original path so that the path manipulation does not persist
+            # within the hook after run_setup is called.
+            sys.path[:] = sys_path
+
+# The primary backend
+_BACKEND = _BuildMetaBackend()
+
+get_requires_for_build_wheel = _BACKEND.get_requires_for_build_wheel
+get_requires_for_build_sdist = _BACKEND.get_requires_for_build_sdist
+prepare_metadata_for_build_wheel = _BACKEND.prepare_metadata_for_build_wheel
+build_wheel = _BACKEND.build_wheel
+build_sdist = _BACKEND.build_sdist
+
+
+# The legacy backend
+__legacy__ = _BuildMetaLegacyBackend()
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/cli-64.exe b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/cli-64.exe
new file mode 100644
index 0000000000000000000000000000000000000000..675e6bf3743f3d3011c238657e7128ee9960ef7f
Binary files /dev/null and b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/cli-64.exe differ
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/config.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/config.py
new file mode 100644
index 0000000000000000000000000000000000000000..b6626043fce15e07dbe89ff1f06bb97d77e80c06
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/config.py
@@ -0,0 +1,656 @@
+from __future__ import absolute_import, unicode_literals
+import io
+import os
+import sys
+
+import warnings
+import functools
+from collections import defaultdict
+from functools import partial
+from functools import wraps
+from importlib import import_module
+
+from distutils.errors import DistutilsOptionError, DistutilsFileError
+from setuptools.extern.packaging.version import LegacyVersion, parse
+from setuptools.extern.six import string_types, PY3
+
+
+__metaclass__ = type
+
+
+def read_configuration(
+        filepath, find_others=False, ignore_option_errors=False):
+    """Read given configuration file and returns options from it as a dict.
+
+    :param str|unicode filepath: Path to configuration file
+        to get options from.
+
+    :param bool find_others: Whether to search for other configuration files
+        which could be on in various places.
+
+    :param bool ignore_option_errors: Whether to silently ignore
+        options, values of which could not be resolved (e.g. due to exceptions
+        in directives such as file:, attr:, etc.).
+        If False exceptions are propagated as expected.
+
+    :rtype: dict
+    """
+    from setuptools.dist import Distribution, _Distribution
+
+    filepath = os.path.abspath(filepath)
+
+    if not os.path.isfile(filepath):
+        raise DistutilsFileError(
+            'Configuration file %s does not exist.' % filepath)
+
+    current_directory = os.getcwd()
+    os.chdir(os.path.dirname(filepath))
+
+    try:
+        dist = Distribution()
+
+        filenames = dist.find_config_files() if find_others else []
+        if filepath not in filenames:
+            filenames.append(filepath)
+
+        _Distribution.parse_config_files(dist, filenames=filenames)
+
+        handlers = parse_configuration(
+            dist, dist.command_options,
+            ignore_option_errors=ignore_option_errors)
+
+    finally:
+        os.chdir(current_directory)
+
+    return configuration_to_dict(handlers)
+
+
+def _get_option(target_obj, key):
+    """
+    Given a target object and option key, get that option from
+    the target object, either through a get_{key} method or
+    from an attribute directly.
+    """
+    getter_name = 'get_{key}'.format(**locals())
+    by_attribute = functools.partial(getattr, target_obj, key)
+    getter = getattr(target_obj, getter_name, by_attribute)
+    return getter()
+
+
+def configuration_to_dict(handlers):
+    """Returns configuration data gathered by given handlers as a dict.
+
+    :param list[ConfigHandler] handlers: Handlers list,
+        usually from parse_configuration()
+
+    :rtype: dict
+    """
+    config_dict = defaultdict(dict)
+
+    for handler in handlers:
+        for option in handler.set_options:
+            value = _get_option(handler.target_obj, option)
+            config_dict[handler.section_prefix][option] = value
+
+    return config_dict
+
+
+def parse_configuration(
+        distribution, command_options, ignore_option_errors=False):
+    """Performs additional parsing of configuration options
+    for a distribution.
+
+    Returns a list of used option handlers.
+
+    :param Distribution distribution:
+    :param dict command_options:
+    :param bool ignore_option_errors: Whether to silently ignore
+        options, values of which could not be resolved (e.g. due to exceptions
+        in directives such as file:, attr:, etc.).
+        If False exceptions are propagated as expected.
+    :rtype: list
+    """
+    options = ConfigOptionsHandler(
+        distribution, command_options, ignore_option_errors)
+    options.parse()
+
+    meta = ConfigMetadataHandler(
+        distribution.metadata, command_options, ignore_option_errors,
+        distribution.package_dir)
+    meta.parse()
+
+    return meta, options
+
+
+class ConfigHandler:
+    """Handles metadata supplied in configuration files."""
+
+    section_prefix = None
+    """Prefix for config sections handled by this handler.
+    Must be provided by class heirs.
+
+    """
+
+    aliases = {}
+    """Options aliases.
+    For compatibility with various packages. E.g.: d2to1 and pbr.
+    Note: `-` in keys is replaced with `_` by config parser.
+
+    """
+
+    def __init__(self, target_obj, options, ignore_option_errors=False):
+        sections = {}
+
+        section_prefix = self.section_prefix
+        for section_name, section_options in options.items():
+            if not section_name.startswith(section_prefix):
+                continue
+
+            section_name = section_name.replace(section_prefix, '').strip('.')
+            sections[section_name] = section_options
+
+        self.ignore_option_errors = ignore_option_errors
+        self.target_obj = target_obj
+        self.sections = sections
+        self.set_options = []
+
+    @property
+    def parsers(self):
+        """Metadata item name to parser function mapping."""
+        raise NotImplementedError(
+            '%s must provide .parsers property' % self.__class__.__name__)
+
+    def __setitem__(self, option_name, value):
+        unknown = tuple()
+        target_obj = self.target_obj
+
+        # Translate alias into real name.
+        option_name = self.aliases.get(option_name, option_name)
+
+        current_value = getattr(target_obj, option_name, unknown)
+
+        if current_value is unknown:
+            raise KeyError(option_name)
+
+        if current_value:
+            # Already inhabited. Skipping.
+            return
+
+        skip_option = False
+        parser = self.parsers.get(option_name)
+        if parser:
+            try:
+                value = parser(value)
+
+            except Exception:
+                skip_option = True
+                if not self.ignore_option_errors:
+                    raise
+
+        if skip_option:
+            return
+
+        setter = getattr(target_obj, 'set_%s' % option_name, None)
+        if setter is None:
+            setattr(target_obj, option_name, value)
+        else:
+            setter(value)
+
+        self.set_options.append(option_name)
+
+    @classmethod
+    def _parse_list(cls, value, separator=','):
+        """Represents value as a list.
+
+        Value is split either by separator (defaults to comma) or by lines.
+
+        :param value:
+        :param separator: List items separator character.
+        :rtype: list
+        """
+        if isinstance(value, list):  # _get_parser_compound case
+            return value
+
+        if '\n' in value:
+            value = value.splitlines()
+        else:
+            value = value.split(separator)
+
+        return [chunk.strip() for chunk in value if chunk.strip()]
+
+    @classmethod
+    def _parse_dict(cls, value):
+        """Represents value as a dict.
+
+        :param value:
+        :rtype: dict
+        """
+        separator = '='
+        result = {}
+        for line in cls._parse_list(value):
+            key, sep, val = line.partition(separator)
+            if sep != separator:
+                raise DistutilsOptionError(
+                    'Unable to parse option value to dict: %s' % value)
+            result[key.strip()] = val.strip()
+
+        return result
+
+    @classmethod
+    def _parse_bool(cls, value):
+        """Represents value as boolean.
+
+        :param value:
+        :rtype: bool
+        """
+        value = value.lower()
+        return value in ('1', 'true', 'yes')
+
+    @classmethod
+    def _exclude_files_parser(cls, key):
+        """Returns a parser function to make sure field inputs
+        are not files.
+
+        Parses a value after getting the key so error messages are
+        more informative.
+
+        :param key:
+        :rtype: callable
+        """
+        def parser(value):
+            exclude_directive = 'file:'
+            if value.startswith(exclude_directive):
+                raise ValueError(
+                    'Only strings are accepted for the {0} field, '
+                    'files are not accepted'.format(key))
+            return value
+        return parser
+
+    @classmethod
+    def _parse_file(cls, value):
+        """Represents value as a string, allowing including text
+        from nearest files using `file:` directive.
+
+        Directive is sandboxed and won't reach anything outside
+        directory with setup.py.
+
+        Examples:
+            file: README.rst, CHANGELOG.md, src/file.txt
+
+        :param str value:
+        :rtype: str
+        """
+        include_directive = 'file:'
+
+        if not isinstance(value, string_types):
+            return value
+
+        if not value.startswith(include_directive):
+            return value
+
+        spec = value[len(include_directive):]
+        filepaths = (os.path.abspath(path.strip()) for path in spec.split(','))
+        return '\n'.join(
+            cls._read_file(path)
+            for path in filepaths
+            if (cls._assert_local(path) or True)
+            and os.path.isfile(path)
+        )
+
+    @staticmethod
+    def _assert_local(filepath):
+        if not filepath.startswith(os.getcwd()):
+            raise DistutilsOptionError(
+                '`file:` directive can not access %s' % filepath)
+
+    @staticmethod
+    def _read_file(filepath):
+        with io.open(filepath, encoding='utf-8') as f:
+            return f.read()
+
+    @classmethod
+    def _parse_attr(cls, value, package_dir=None):
+        """Represents value as a module attribute.
+
+        Examples:
+            attr: package.attr
+            attr: package.module.attr
+
+        :param str value:
+        :rtype: str
+        """
+        attr_directive = 'attr:'
+        if not value.startswith(attr_directive):
+            return value
+
+        attrs_path = value.replace(attr_directive, '').strip().split('.')
+        attr_name = attrs_path.pop()
+
+        module_name = '.'.join(attrs_path)
+        module_name = module_name or '__init__'
+
+        parent_path = os.getcwd()
+        if package_dir:
+            if attrs_path[0] in package_dir:
+                # A custom path was specified for the module we want to import
+                custom_path = package_dir[attrs_path[0]]
+                parts = custom_path.rsplit('/', 1)
+                if len(parts) > 1:
+                    parent_path = os.path.join(os.getcwd(), parts[0])
+                    module_name = parts[1]
+                else:
+                    module_name = custom_path
+            elif '' in package_dir:
+                # A custom parent directory was specified for all root modules
+                parent_path = os.path.join(os.getcwd(), package_dir[''])
+        sys.path.insert(0, parent_path)
+        try:
+            module = import_module(module_name)
+            value = getattr(module, attr_name)
+
+        finally:
+            sys.path = sys.path[1:]
+
+        return value
+
+    @classmethod
+    def _get_parser_compound(cls, *parse_methods):
+        """Returns parser function to represents value as a list.
+
+        Parses a value applying given methods one after another.
+
+        :param parse_methods:
+        :rtype: callable
+        """
+        def parse(value):
+            parsed = value
+
+            for method in parse_methods:
+                parsed = method(parsed)
+
+            return parsed
+
+        return parse
+
+    @classmethod
+    def _parse_section_to_dict(cls, section_options, values_parser=None):
+        """Parses section options into a dictionary.
+
+        Optionally applies a given parser to values.
+
+        :param dict section_options:
+        :param callable values_parser:
+        :rtype: dict
+        """
+        value = {}
+        values_parser = values_parser or (lambda val: val)
+        for key, (_, val) in section_options.items():
+            value[key] = values_parser(val)
+        return value
+
+    def parse_section(self, section_options):
+        """Parses configuration file section.
+
+        :param dict section_options:
+        """
+        for (name, (_, value)) in section_options.items():
+            try:
+                self[name] = value
+
+            except KeyError:
+                pass  # Keep silent for a new option may appear anytime.
+
+    def parse(self):
+        """Parses configuration file items from one
+        or more related sections.
+
+        """
+        for section_name, section_options in self.sections.items():
+
+            method_postfix = ''
+            if section_name:  # [section.option] variant
+                method_postfix = '_%s' % section_name
+
+            section_parser_method = getattr(
+                self,
+                # Dots in section names are translated into dunderscores.
+                ('parse_section%s' % method_postfix).replace('.', '__'),
+                None)
+
+            if section_parser_method is None:
+                raise DistutilsOptionError(
+                    'Unsupported distribution option section: [%s.%s]' % (
+                        self.section_prefix, section_name))
+
+            section_parser_method(section_options)
+
+    def _deprecated_config_handler(self, func, msg, warning_class):
+        """ this function will wrap around parameters that are deprecated
+
+        :param msg: deprecation message
+        :param warning_class: class of warning exception to be raised
+        :param func: function to be wrapped around
+        """
+        @wraps(func)
+        def config_handler(*args, **kwargs):
+            warnings.warn(msg, warning_class)
+            return func(*args, **kwargs)
+
+        return config_handler
+
+
+class ConfigMetadataHandler(ConfigHandler):
+
+    section_prefix = 'metadata'
+
+    aliases = {
+        'home_page': 'url',
+        'summary': 'description',
+        'classifier': 'classifiers',
+        'platform': 'platforms',
+    }
+
+    strict_mode = False
+    """We need to keep it loose, to be partially compatible with
+    `pbr` and `d2to1` packages which also uses `metadata` section.
+
+    """
+
+    def __init__(self, target_obj, options, ignore_option_errors=False,
+                 package_dir=None):
+        super(ConfigMetadataHandler, self).__init__(target_obj, options,
+                                                    ignore_option_errors)
+        self.package_dir = package_dir
+
+    @property
+    def parsers(self):
+        """Metadata item name to parser function mapping."""
+        parse_list = self._parse_list
+        parse_file = self._parse_file
+        parse_dict = self._parse_dict
+        exclude_files_parser = self._exclude_files_parser
+
+        return {
+            'platforms': parse_list,
+            'keywords': parse_list,
+            'provides': parse_list,
+            'requires': self._deprecated_config_handler(
+                parse_list,
+                "The requires parameter is deprecated, please use "
+                "install_requires for runtime dependencies.",
+                DeprecationWarning),
+            'obsoletes': parse_list,
+            'classifiers': self._get_parser_compound(parse_file, parse_list),
+            'license': exclude_files_parser('license'),
+            'description': parse_file,
+            'long_description': parse_file,
+            'version': self._parse_version,
+            'project_urls': parse_dict,
+        }
+
+    def _parse_version(self, value):
+        """Parses `version` option value.
+
+        :param value:
+        :rtype: str
+
+        """
+        version = self._parse_file(value)
+
+        if version != value:
+            version = version.strip()
+            # Be strict about versions loaded from file because it's easy to
+            # accidentally include newlines and other unintended content
+            if isinstance(parse(version), LegacyVersion):
+                tmpl = (
+                    'Version loaded from {value} does not '
+                    'comply with PEP 440: {version}'
+                )
+                raise DistutilsOptionError(tmpl.format(**locals()))
+
+            return version
+
+        version = self._parse_attr(value, self.package_dir)
+
+        if callable(version):
+            version = version()
+
+        if not isinstance(version, string_types):
+            if hasattr(version, '__iter__'):
+                version = '.'.join(map(str, version))
+            else:
+                version = '%s' % version
+
+        return version
+
+
+class ConfigOptionsHandler(ConfigHandler):
+
+    section_prefix = 'options'
+
+    @property
+    def parsers(self):
+        """Metadata item name to parser function mapping."""
+        parse_list = self._parse_list
+        parse_list_semicolon = partial(self._parse_list, separator=';')
+        parse_bool = self._parse_bool
+        parse_dict = self._parse_dict
+
+        return {
+            'zip_safe': parse_bool,
+            'use_2to3': parse_bool,
+            'include_package_data': parse_bool,
+            'package_dir': parse_dict,
+            'use_2to3_fixers': parse_list,
+            'use_2to3_exclude_fixers': parse_list,
+            'convert_2to3_doctests': parse_list,
+            'scripts': parse_list,
+            'eager_resources': parse_list,
+            'dependency_links': parse_list,
+            'namespace_packages': parse_list,
+            'install_requires': parse_list_semicolon,
+            'setup_requires': parse_list_semicolon,
+            'tests_require': parse_list_semicolon,
+            'packages': self._parse_packages,
+            'entry_points': self._parse_file,
+            'py_modules': parse_list,
+        }
+
+    def _parse_packages(self, value):
+        """Parses `packages` option value.
+
+        :param value:
+        :rtype: list
+        """
+        find_directives = ['find:', 'find_namespace:']
+        trimmed_value = value.strip()
+
+        if trimmed_value not in find_directives:
+            return self._parse_list(value)
+
+        findns = trimmed_value == find_directives[1]
+        if findns and not PY3:
+            raise DistutilsOptionError(
+                'find_namespace: directive is unsupported on Python < 3.3')
+
+        # Read function arguments from a dedicated section.
+        find_kwargs = self.parse_section_packages__find(
+            self.sections.get('packages.find', {}))
+
+        if findns:
+            from setuptools import find_namespace_packages as find_packages
+        else:
+            from setuptools import find_packages
+
+        return find_packages(**find_kwargs)
+
+    def parse_section_packages__find(self, section_options):
+        """Parses `packages.find` configuration file section.
+
+        To be used in conjunction with _parse_packages().
+
+        :param dict section_options:
+        """
+        section_data = self._parse_section_to_dict(
+            section_options, self._parse_list)
+
+        valid_keys = ['where', 'include', 'exclude']
+
+        find_kwargs = dict(
+            [(k, v) for k, v in section_data.items() if k in valid_keys and v])
+
+        where = find_kwargs.get('where')
+        if where is not None:
+            find_kwargs['where'] = where[0]  # cast list to single val
+
+        return find_kwargs
+
+    def parse_section_entry_points(self, section_options):
+        """Parses `entry_points` configuration file section.
+
+        :param dict section_options:
+        """
+        parsed = self._parse_section_to_dict(section_options, self._parse_list)
+        self['entry_points'] = parsed
+
+    def _parse_package_data(self, section_options):
+        parsed = self._parse_section_to_dict(section_options, self._parse_list)
+
+        root = parsed.get('*')
+        if root:
+            parsed[''] = root
+            del parsed['*']
+
+        return parsed
+
+    def parse_section_package_data(self, section_options):
+        """Parses `package_data` configuration file section.
+
+        :param dict section_options:
+        """
+        self['package_data'] = self._parse_package_data(section_options)
+
+    def parse_section_exclude_package_data(self, section_options):
+        """Parses `exclude_package_data` configuration file section.
+
+        :param dict section_options:
+        """
+        self['exclude_package_data'] = self._parse_package_data(
+            section_options)
+
+    def parse_section_extras_require(self, section_options):
+        """Parses `extras_require` configuration file section.
+
+        :param dict section_options:
+        """
+        parse_list = partial(self._parse_list, separator=';')
+        self['extras_require'] = self._parse_section_to_dict(
+            section_options, parse_list)
+
+    def parse_section_data_files(self, section_options):
+        """Parses `data_files` configuration file section.
+
+        :param dict section_options:
+        """
+        parsed = self._parse_section_to_dict(section_options, self._parse_list)
+        self['data_files'] = [(k, v) for k, v in parsed.items()]
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/dep_util.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/dep_util.py
new file mode 100644
index 0000000000000000000000000000000000000000..2931c13ec35aa60b742ac4c46ceabd4ed32a5511
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/dep_util.py
@@ -0,0 +1,23 @@
+from distutils.dep_util import newer_group
+
+# yes, this is was almost entirely copy-pasted from
+# 'newer_pairwise()', this is just another convenience
+# function.
+def newer_pairwise_group(sources_groups, targets):
+    """Walk both arguments in parallel, testing if each source group is newer
+    than its corresponding target. Returns a pair of lists (sources_groups,
+    targets) where sources is newer than target, according to the semantics
+    of 'newer_group()'.
+    """
+    if len(sources_groups) != len(targets):
+        raise ValueError("'sources_group' and 'targets' must be the same length")
+
+    # build a pair of lists (sources_groups, targets) where source is newer
+    n_sources = []
+    n_targets = []
+    for i in range(len(sources_groups)):
+        if newer_group(sources_groups[i], targets[i]):
+            n_sources.append(sources_groups[i])
+            n_targets.append(targets[i])
+
+    return n_sources, n_targets
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/depends.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/depends.py
new file mode 100644
index 0000000000000000000000000000000000000000..45e7052d8d8561a946f782a67dc6f83b6ad6ab99
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/depends.py
@@ -0,0 +1,186 @@
+import sys
+import imp
+import marshal
+from distutils.version import StrictVersion
+from imp import PKG_DIRECTORY, PY_COMPILED, PY_SOURCE, PY_FROZEN
+
+from .py33compat import Bytecode
+
+
+__all__ = [
+    'Require', 'find_module', 'get_module_constant', 'extract_constant'
+]
+
+
+class Require:
+    """A prerequisite to building or installing a distribution"""
+
+    def __init__(self, name, requested_version, module, homepage='',
+            attribute=None, format=None):
+
+        if format is None and requested_version is not None:
+            format = StrictVersion
+
+        if format is not None:
+            requested_version = format(requested_version)
+            if attribute is None:
+                attribute = '__version__'
+
+        self.__dict__.update(locals())
+        del self.self
+
+    def full_name(self):
+        """Return full package/distribution name, w/version"""
+        if self.requested_version is not None:
+            return '%s-%s' % (self.name, self.requested_version)
+        return self.name
+
+    def version_ok(self, version):
+        """Is 'version' sufficiently up-to-date?"""
+        return self.attribute is None or self.format is None or \
+            str(version) != "unknown" and version >= self.requested_version
+
+    def get_version(self, paths=None, default="unknown"):
+        """Get version number of installed module, 'None', or 'default'
+
+        Search 'paths' for module.  If not found, return 'None'.  If found,
+        return the extracted version attribute, or 'default' if no version
+        attribute was specified, or the value cannot be determined without
+        importing the module.  The version is formatted according to the
+        requirement's version format (if any), unless it is 'None' or the
+        supplied 'default'.
+        """
+
+        if self.attribute is None:
+            try:
+                f, p, i = find_module(self.module, paths)
+                if f:
+                    f.close()
+                return default
+            except ImportError:
+                return None
+
+        v = get_module_constant(self.module, self.attribute, default, paths)
+
+        if v is not None and v is not default and self.format is not None:
+            return self.format(v)
+
+        return v
+
+    def is_present(self, paths=None):
+        """Return true if dependency is present on 'paths'"""
+        return self.get_version(paths) is not None
+
+    def is_current(self, paths=None):
+        """Return true if dependency is present and up-to-date on 'paths'"""
+        version = self.get_version(paths)
+        if version is None:
+            return False
+        return self.version_ok(version)
+
+
+def find_module(module, paths=None):
+    """Just like 'imp.find_module()', but with package support"""
+
+    parts = module.split('.')
+
+    while parts:
+        part = parts.pop(0)
+        f, path, (suffix, mode, kind) = info = imp.find_module(part, paths)
+
+        if kind == PKG_DIRECTORY:
+            parts = parts or ['__init__']
+            paths = [path]
+
+        elif parts:
+            raise ImportError("Can't find %r in %s" % (parts, module))
+
+    return info
+
+
+def get_module_constant(module, symbol, default=-1, paths=None):
+    """Find 'module' by searching 'paths', and extract 'symbol'
+
+    Return 'None' if 'module' does not exist on 'paths', or it does not define
+    'symbol'.  If the module defines 'symbol' as a constant, return the
+    constant.  Otherwise, return 'default'."""
+
+    try:
+        f, path, (suffix, mode, kind) = find_module(module, paths)
+    except ImportError:
+        # Module doesn't exist
+        return None
+
+    try:
+        if kind == PY_COMPILED:
+            f.read(8)  # skip magic & date
+            code = marshal.load(f)
+        elif kind == PY_FROZEN:
+            code = imp.get_frozen_object(module)
+        elif kind == PY_SOURCE:
+            code = compile(f.read(), path, 'exec')
+        else:
+            # Not something we can parse; we'll have to import it.  :(
+            if module not in sys.modules:
+                imp.load_module(module, f, path, (suffix, mode, kind))
+            return getattr(sys.modules[module], symbol, None)
+
+    finally:
+        if f:
+            f.close()
+
+    return extract_constant(code, symbol, default)
+
+
+def extract_constant(code, symbol, default=-1):
+    """Extract the constant value of 'symbol' from 'code'
+
+    If the name 'symbol' is bound to a constant value by the Python code
+    object 'code', return that value.  If 'symbol' is bound to an expression,
+    return 'default'.  Otherwise, return 'None'.
+
+    Return value is based on the first assignment to 'symbol'.  'symbol' must
+    be a global, or at least a non-"fast" local in the code block.  That is,
+    only 'STORE_NAME' and 'STORE_GLOBAL' opcodes are checked, and 'symbol'
+    must be present in 'code.co_names'.
+    """
+    if symbol not in code.co_names:
+        # name's not there, can't possibly be an assignment
+        return None
+
+    name_idx = list(code.co_names).index(symbol)
+
+    STORE_NAME = 90
+    STORE_GLOBAL = 97
+    LOAD_CONST = 100
+
+    const = default
+
+    for byte_code in Bytecode(code):
+        op = byte_code.opcode
+        arg = byte_code.arg
+
+        if op == LOAD_CONST:
+            const = code.co_consts[arg]
+        elif arg == name_idx and (op == STORE_NAME or op == STORE_GLOBAL):
+            return const
+        else:
+            const = default
+
+
+def _update_globals():
+    """
+    Patch the globals to remove the objects not available on some platforms.
+
+    XXX it'd be better to test assertions about bytecode instead.
+    """
+
+    if not sys.platform.startswith('java') and sys.platform != 'cli':
+        return
+    incompatible = 'extract_constant', 'get_module_constant'
+    for name in incompatible:
+        del globals()[name]
+        __all__.remove(name)
+
+
+_update_globals()
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/dist.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/dist.py
new file mode 100644
index 0000000000000000000000000000000000000000..f0f030b550ccd19e8eb4458fe3a3825cc4c18655
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/dist.py
@@ -0,0 +1,1280 @@
+# -*- coding: utf-8 -*-
+__all__ = ['Distribution']
+
+import io
+import sys
+import re
+import os
+import warnings
+import numbers
+import distutils.log
+import distutils.core
+import distutils.cmd
+import distutils.dist
+from distutils.util import strtobool
+from distutils.debug import DEBUG
+from distutils.fancy_getopt import translate_longopt
+import itertools
+
+from collections import defaultdict
+from email import message_from_file
+
+from distutils.errors import (
+    DistutilsOptionError, DistutilsPlatformError, DistutilsSetupError,
+)
+from distutils.util import rfc822_escape
+from distutils.version import StrictVersion
+
+from setuptools.extern import six
+from setuptools.extern import packaging
+from setuptools.extern.six.moves import map, filter, filterfalse
+
+from . import SetuptoolsDeprecationWarning
+
+from setuptools.depends import Require
+from setuptools import windows_support
+from setuptools.monkey import get_unpatched
+from setuptools.config import parse_configuration
+import pkg_resources
+
+__import__('setuptools.extern.packaging.specifiers')
+__import__('setuptools.extern.packaging.version')
+
+
+def _get_unpatched(cls):
+    warnings.warn("Do not call this function", DistDeprecationWarning)
+    return get_unpatched(cls)
+
+
+def get_metadata_version(self):
+    mv = getattr(self, 'metadata_version', None)
+
+    if mv is None:
+        if self.long_description_content_type or self.provides_extras:
+            mv = StrictVersion('2.1')
+        elif (self.maintainer is not None or
+              self.maintainer_email is not None or
+              getattr(self, 'python_requires', None) is not None or
+              self.project_urls):
+            mv = StrictVersion('1.2')
+        elif (self.provides or self.requires or self.obsoletes or
+                self.classifiers or self.download_url):
+            mv = StrictVersion('1.1')
+        else:
+            mv = StrictVersion('1.0')
+
+        self.metadata_version = mv
+
+    return mv
+
+
+def read_pkg_file(self, file):
+    """Reads the metadata values from a file object."""
+    msg = message_from_file(file)
+
+    def _read_field(name):
+        value = msg[name]
+        if value == 'UNKNOWN':
+            return None
+        return value
+
+    def _read_list(name):
+        values = msg.get_all(name, None)
+        if values == []:
+            return None
+        return values
+
+    self.metadata_version = StrictVersion(msg['metadata-version'])
+    self.name = _read_field('name')
+    self.version = _read_field('version')
+    self.description = _read_field('summary')
+    # we are filling author only.
+    self.author = _read_field('author')
+    self.maintainer = None
+    self.author_email = _read_field('author-email')
+    self.maintainer_email = None
+    self.url = _read_field('home-page')
+    self.license = _read_field('license')
+
+    if 'download-url' in msg:
+        self.download_url = _read_field('download-url')
+    else:
+        self.download_url = None
+
+    self.long_description = _read_field('description')
+    self.description = _read_field('summary')
+
+    if 'keywords' in msg:
+        self.keywords = _read_field('keywords').split(',')
+
+    self.platforms = _read_list('platform')
+    self.classifiers = _read_list('classifier')
+
+    # PEP 314 - these fields only exist in 1.1
+    if self.metadata_version == StrictVersion('1.1'):
+        self.requires = _read_list('requires')
+        self.provides = _read_list('provides')
+        self.obsoletes = _read_list('obsoletes')
+    else:
+        self.requires = None
+        self.provides = None
+        self.obsoletes = None
+
+
+# Based on Python 3.5 version
+def write_pkg_file(self, file):
+    """Write the PKG-INFO format data to a file object.
+    """
+    version = self.get_metadata_version()
+
+    if six.PY2:
+        def write_field(key, value):
+            file.write("%s: %s\n" % (key, self._encode_field(value)))
+    else:
+        def write_field(key, value):
+            file.write("%s: %s\n" % (key, value))
+
+    write_field('Metadata-Version', str(version))
+    write_field('Name', self.get_name())
+    write_field('Version', self.get_version())
+    write_field('Summary', self.get_description())
+    write_field('Home-page', self.get_url())
+
+    if version < StrictVersion('1.2'):
+        write_field('Author', self.get_contact())
+        write_field('Author-email', self.get_contact_email())
+    else:
+        optional_fields = (
+            ('Author', 'author'),
+            ('Author-email', 'author_email'),
+            ('Maintainer', 'maintainer'),
+            ('Maintainer-email', 'maintainer_email'),
+        )
+
+        for field, attr in optional_fields:
+            attr_val = getattr(self, attr)
+
+            if attr_val is not None:
+                write_field(field, attr_val)
+
+    write_field('License', self.get_license())
+    if self.download_url:
+        write_field('Download-URL', self.download_url)
+    for project_url in self.project_urls.items():
+        write_field('Project-URL',  '%s, %s' % project_url)
+
+    long_desc = rfc822_escape(self.get_long_description())
+    write_field('Description', long_desc)
+
+    keywords = ','.join(self.get_keywords())
+    if keywords:
+        write_field('Keywords', keywords)
+
+    if version >= StrictVersion('1.2'):
+        for platform in self.get_platforms():
+            write_field('Platform', platform)
+    else:
+        self._write_list(file, 'Platform', self.get_platforms())
+
+    self._write_list(file, 'Classifier', self.get_classifiers())
+
+    # PEP 314
+    self._write_list(file, 'Requires', self.get_requires())
+    self._write_list(file, 'Provides', self.get_provides())
+    self._write_list(file, 'Obsoletes', self.get_obsoletes())
+
+    # Setuptools specific for PEP 345
+    if hasattr(self, 'python_requires'):
+        write_field('Requires-Python', self.python_requires)
+
+    # PEP 566
+    if self.long_description_content_type:
+        write_field(
+            'Description-Content-Type',
+            self.long_description_content_type
+        )
+    if self.provides_extras:
+        for extra in self.provides_extras:
+            write_field('Provides-Extra', extra)
+
+
+sequence = tuple, list
+
+
+def check_importable(dist, attr, value):
+    try:
+        ep = pkg_resources.EntryPoint.parse('x=' + value)
+        assert not ep.extras
+    except (TypeError, ValueError, AttributeError, AssertionError):
+        raise DistutilsSetupError(
+            "%r must be importable 'module:attrs' string (got %r)"
+            % (attr, value)
+        )
+
+
+def assert_string_list(dist, attr, value):
+    """Verify that value is a string list"""
+    try:
+        # verify that value is a list or tuple to exclude unordered
+        # or single-use iterables
+        assert isinstance(value, (list, tuple))
+        # verify that elements of value are strings
+        assert ''.join(value) != value
+    except (TypeError, ValueError, AttributeError, AssertionError):
+        raise DistutilsSetupError(
+            "%r must be a list of strings (got %r)" % (attr, value)
+        )
+
+
+def check_nsp(dist, attr, value):
+    """Verify that namespace packages are valid"""
+    ns_packages = value
+    assert_string_list(dist, attr, ns_packages)
+    for nsp in ns_packages:
+        if not dist.has_contents_for(nsp):
+            raise DistutilsSetupError(
+                "Distribution contains no modules or packages for " +
+                "namespace package %r" % nsp
+            )
+        parent, sep, child = nsp.rpartition('.')
+        if parent and parent not in ns_packages:
+            distutils.log.warn(
+                "WARNING: %r is declared as a package namespace, but %r"
+                " is not: please correct this in setup.py", nsp, parent
+            )
+
+
+def check_extras(dist, attr, value):
+    """Verify that extras_require mapping is valid"""
+    try:
+        list(itertools.starmap(_check_extra, value.items()))
+    except (TypeError, ValueError, AttributeError):
+        raise DistutilsSetupError(
+            "'extras_require' must be a dictionary whose values are "
+            "strings or lists of strings containing valid project/version "
+            "requirement specifiers."
+        )
+
+
+def _check_extra(extra, reqs):
+    name, sep, marker = extra.partition(':')
+    if marker and pkg_resources.invalid_marker(marker):
+        raise DistutilsSetupError("Invalid environment marker: " + marker)
+    list(pkg_resources.parse_requirements(reqs))
+
+
+def assert_bool(dist, attr, value):
+    """Verify that value is True, False, 0, or 1"""
+    if bool(value) != value:
+        tmpl = "{attr!r} must be a boolean value (got {value!r})"
+        raise DistutilsSetupError(tmpl.format(attr=attr, value=value))
+
+
+def check_requirements(dist, attr, value):
+    """Verify that install_requires is a valid requirements list"""
+    try:
+        list(pkg_resources.parse_requirements(value))
+        if isinstance(value, (dict, set)):
+            raise TypeError("Unordered types are not allowed")
+    except (TypeError, ValueError) as error:
+        tmpl = (
+            "{attr!r} must be a string or list of strings "
+            "containing valid project/version requirement specifiers; {error}"
+        )
+        raise DistutilsSetupError(tmpl.format(attr=attr, error=error))
+
+
+def check_specifier(dist, attr, value):
+    """Verify that value is a valid version specifier"""
+    try:
+        packaging.specifiers.SpecifierSet(value)
+    except packaging.specifiers.InvalidSpecifier as error:
+        tmpl = (
+            "{attr!r} must be a string "
+            "containing valid version specifiers; {error}"
+        )
+        raise DistutilsSetupError(tmpl.format(attr=attr, error=error))
+
+
+def check_entry_points(dist, attr, value):
+    """Verify that entry_points map is parseable"""
+    try:
+        pkg_resources.EntryPoint.parse_map(value)
+    except ValueError as e:
+        raise DistutilsSetupError(e)
+
+
+def check_test_suite(dist, attr, value):
+    if not isinstance(value, six.string_types):
+        raise DistutilsSetupError("test_suite must be a string")
+
+
+def check_package_data(dist, attr, value):
+    """Verify that value is a dictionary of package names to glob lists"""
+    if not isinstance(value, dict):
+        raise DistutilsSetupError(
+            "{!r} must be a dictionary mapping package names to lists of "
+            "string wildcard patterns".format(attr))
+    for k, v in value.items():
+        if not isinstance(k, six.string_types):
+            raise DistutilsSetupError(
+                "keys of {!r} dict must be strings (got {!r})"
+                .format(attr, k)
+            )
+        assert_string_list(dist, 'values of {!r} dict'.format(attr), v)
+
+
+def check_packages(dist, attr, value):
+    for pkgname in value:
+        if not re.match(r'\w+(\.\w+)*', pkgname):
+            distutils.log.warn(
+                "WARNING: %r not a valid package name; please use only "
+                ".-separated package names in setup.py", pkgname
+            )
+
+
+_Distribution = get_unpatched(distutils.core.Distribution)
+
+
+class Distribution(_Distribution):
+    """Distribution with support for features, tests, and package data
+
+    This is an enhanced version of 'distutils.dist.Distribution' that
+    effectively adds the following new optional keyword arguments to 'setup()':
+
+     'install_requires' -- a string or sequence of strings specifying project
+        versions that the distribution requires when installed, in the format
+        used by 'pkg_resources.require()'.  They will be installed
+        automatically when the package is installed.  If you wish to use
+        packages that are not available in PyPI, or want to give your users an
+        alternate download location, you can add a 'find_links' option to the
+        '[easy_install]' section of your project's 'setup.cfg' file, and then
+        setuptools will scan the listed web pages for links that satisfy the
+        requirements.
+
+     'extras_require' -- a dictionary mapping names of optional "extras" to the
+        additional requirement(s) that using those extras incurs. For example,
+        this::
+
+            extras_require = dict(reST = ["docutils>=0.3", "reSTedit"])
+
+        indicates that the distribution can optionally provide an extra
+        capability called "reST", but it can only be used if docutils and
+        reSTedit are installed.  If the user installs your package using
+        EasyInstall and requests one of your extras, the corresponding
+        additional requirements will be installed if needed.
+
+     'features' **deprecated** -- a dictionary mapping option names to
+        'setuptools.Feature'
+        objects.  Features are a portion of the distribution that can be
+        included or excluded based on user options, inter-feature dependencies,
+        and availability on the current system.  Excluded features are omitted
+        from all setup commands, including source and binary distributions, so
+        you can create multiple distributions from the same source tree.
+        Feature names should be valid Python identifiers, except that they may
+        contain the '-' (minus) sign.  Features can be included or excluded
+        via the command line options '--with-X' and '--without-X', where 'X' is
+        the name of the feature.  Whether a feature is included by default, and
+        whether you are allowed to control this from the command line, is
+        determined by the Feature object.  See the 'Feature' class for more
+        information.
+
+     'test_suite' -- the name of a test suite to run for the 'test' command.
+        If the user runs 'python setup.py test', the package will be installed,
+        and the named test suite will be run.  The format is the same as
+        would be used on a 'unittest.py' command line.  That is, it is the
+        dotted name of an object to import and call to generate a test suite.
+
+     'package_data' -- a dictionary mapping package names to lists of filenames
+        or globs to use to find data files contained in the named packages.
+        If the dictionary has filenames or globs listed under '""' (the empty
+        string), those names will be searched for in every package, in addition
+        to any names for the specific package.  Data files found using these
+        names/globs will be installed along with the package, in the same
+        location as the package.  Note that globs are allowed to reference
+        the contents of non-package subdirectories, as long as you use '/' as
+        a path separator.  (Globs are automatically converted to
+        platform-specific paths at runtime.)
+
+    In addition to these new keywords, this class also has several new methods
+    for manipulating the distribution's contents.  For example, the 'include()'
+    and 'exclude()' methods can be thought of as in-place add and subtract
+    commands that add or remove packages, modules, extensions, and so on from
+    the distribution.  They are used by the feature subsystem to configure the
+    distribution for the included and excluded features.
+    """
+
+    _DISTUTILS_UNSUPPORTED_METADATA = {
+        'long_description_content_type': None,
+        'project_urls': dict,
+        'provides_extras': set,
+    }
+
+    _patched_dist = None
+
+    def patch_missing_pkg_info(self, attrs):
+        # Fake up a replacement for the data that would normally come from
+        # PKG-INFO, but which might not yet be built if this is a fresh
+        # checkout.
+        #
+        if not attrs or 'name' not in attrs or 'version' not in attrs:
+            return
+        key = pkg_resources.safe_name(str(attrs['name'])).lower()
+        dist = pkg_resources.working_set.by_key.get(key)
+        if dist is not None and not dist.has_metadata('PKG-INFO'):
+            dist._version = pkg_resources.safe_version(str(attrs['version']))
+            self._patched_dist = dist
+
+    def __init__(self, attrs=None):
+        have_package_data = hasattr(self, "package_data")
+        if not have_package_data:
+            self.package_data = {}
+        attrs = attrs or {}
+        if 'features' in attrs or 'require_features' in attrs:
+            Feature.warn_deprecated()
+        self.require_features = []
+        self.features = {}
+        self.dist_files = []
+        # Filter-out setuptools' specific options.
+        self.src_root = attrs.pop("src_root", None)
+        self.patch_missing_pkg_info(attrs)
+        self.dependency_links = attrs.pop('dependency_links', [])
+        self.setup_requires = attrs.pop('setup_requires', [])
+        for ep in pkg_resources.iter_entry_points('distutils.setup_keywords'):
+            vars(self).setdefault(ep.name, None)
+        _Distribution.__init__(self, {
+            k: v for k, v in attrs.items()
+            if k not in self._DISTUTILS_UNSUPPORTED_METADATA
+        })
+
+        # Fill-in missing metadata fields not supported by distutils.
+        # Note some fields may have been set by other tools (e.g. pbr)
+        # above; they are taken preferrentially to setup() arguments
+        for option, default in self._DISTUTILS_UNSUPPORTED_METADATA.items():
+            for source in self.metadata.__dict__, attrs:
+                if option in source:
+                    value = source[option]
+                    break
+            else:
+                value = default() if default else None
+            setattr(self.metadata, option, value)
+
+        if isinstance(self.metadata.version, numbers.Number):
+            # Some people apparently take "version number" too literally :)
+            self.metadata.version = str(self.metadata.version)
+
+        if self.metadata.version is not None:
+            try:
+                ver = packaging.version.Version(self.metadata.version)
+                normalized_version = str(ver)
+                if self.metadata.version != normalized_version:
+                    warnings.warn(
+                        "Normalizing '%s' to '%s'" % (
+                            self.metadata.version,
+                            normalized_version,
+                        )
+                    )
+                    self.metadata.version = normalized_version
+            except (packaging.version.InvalidVersion, TypeError):
+                warnings.warn(
+                    "The version specified (%r) is an invalid version, this "
+                    "may not work as expected with newer versions of "
+                    "setuptools, pip, and PyPI. Please see PEP 440 for more "
+                    "details." % self.metadata.version
+                )
+        self._finalize_requires()
+
+    def _finalize_requires(self):
+        """
+        Set `metadata.python_requires` and fix environment markers
+        in `install_requires` and `extras_require`.
+        """
+        if getattr(self, 'python_requires', None):
+            self.metadata.python_requires = self.python_requires
+
+        if getattr(self, 'extras_require', None):
+            for extra in self.extras_require.keys():
+                # Since this gets called multiple times at points where the
+                # keys have become 'converted' extras, ensure that we are only
+                # truly adding extras we haven't seen before here.
+                extra = extra.split(':')[0]
+                if extra:
+                    self.metadata.provides_extras.add(extra)
+
+        self._convert_extras_requirements()
+        self._move_install_requirements_markers()
+
+    def _convert_extras_requirements(self):
+        """
+        Convert requirements in `extras_require` of the form
+        `"extra": ["barbazquux; {marker}"]` to
+        `"extra:{marker}": ["barbazquux"]`.
+        """
+        spec_ext_reqs = getattr(self, 'extras_require', None) or {}
+        self._tmp_extras_require = defaultdict(list)
+        for section, v in spec_ext_reqs.items():
+            # Do not strip empty sections.
+            self._tmp_extras_require[section]
+            for r in pkg_resources.parse_requirements(v):
+                suffix = self._suffix_for(r)
+                self._tmp_extras_require[section + suffix].append(r)
+
+    @staticmethod
+    def _suffix_for(req):
+        """
+        For a requirement, return the 'extras_require' suffix for
+        that requirement.
+        """
+        return ':' + str(req.marker) if req.marker else ''
+
+    def _move_install_requirements_markers(self):
+        """
+        Move requirements in `install_requires` that are using environment
+        markers `extras_require`.
+        """
+
+        # divide the install_requires into two sets, simple ones still
+        # handled by install_requires and more complex ones handled
+        # by extras_require.
+
+        def is_simple_req(req):
+            return not req.marker
+
+        spec_inst_reqs = getattr(self, 'install_requires', None) or ()
+        inst_reqs = list(pkg_resources.parse_requirements(spec_inst_reqs))
+        simple_reqs = filter(is_simple_req, inst_reqs)
+        complex_reqs = filterfalse(is_simple_req, inst_reqs)
+        self.install_requires = list(map(str, simple_reqs))
+
+        for r in complex_reqs:
+            self._tmp_extras_require[':' + str(r.marker)].append(r)
+        self.extras_require = dict(
+            (k, [str(r) for r in map(self._clean_req, v)])
+            for k, v in self._tmp_extras_require.items()
+        )
+
+    def _clean_req(self, req):
+        """
+        Given a Requirement, remove environment markers and return it.
+        """
+        req.marker = None
+        return req
+
+    def _parse_config_files(self, filenames=None):
+        """
+        Adapted from distutils.dist.Distribution.parse_config_files,
+        this method provides the same functionality in subtly-improved
+        ways.
+        """
+        from setuptools.extern.six.moves.configparser import ConfigParser
+
+        # Ignore install directory options if we have a venv
+        if six.PY3 and sys.prefix != sys.base_prefix:
+            ignore_options = [
+                'install-base', 'install-platbase', 'install-lib',
+                'install-platlib', 'install-purelib', 'install-headers',
+                'install-scripts', 'install-data', 'prefix', 'exec-prefix',
+                'home', 'user', 'root']
+        else:
+            ignore_options = []
+
+        ignore_options = frozenset(ignore_options)
+
+        if filenames is None:
+            filenames = self.find_config_files()
+
+        if DEBUG:
+            self.announce("Distribution.parse_config_files():")
+
+        parser = ConfigParser()
+        for filename in filenames:
+            with io.open(filename, encoding='utf-8') as reader:
+                if DEBUG:
+                    self.announce("  reading {filename}".format(**locals()))
+                (parser.read_file if six.PY3 else parser.readfp)(reader)
+            for section in parser.sections():
+                options = parser.options(section)
+                opt_dict = self.get_option_dict(section)
+
+                for opt in options:
+                    if opt != '__name__' and opt not in ignore_options:
+                        val = self._try_str(parser.get(section, opt))
+                        opt = opt.replace('-', '_')
+                        opt_dict[opt] = (filename, val)
+
+            # Make the ConfigParser forget everything (so we retain
+            # the original filenames that options come from)
+            parser.__init__()
+
+        # If there was a "global" section in the config file, use it
+        # to set Distribution options.
+
+        if 'global' in self.command_options:
+            for (opt, (src, val)) in self.command_options['global'].items():
+                alias = self.negative_opt.get(opt)
+                try:
+                    if alias:
+                        setattr(self, alias, not strtobool(val))
+                    elif opt in ('verbose', 'dry_run'):  # ugh!
+                        setattr(self, opt, strtobool(val))
+                    else:
+                        setattr(self, opt, val)
+                except ValueError as msg:
+                    raise DistutilsOptionError(msg)
+
+    @staticmethod
+    def _try_str(val):
+        """
+        On Python 2, much of distutils relies on string values being of
+        type 'str' (bytes) and not unicode text. If the value can be safely
+        encoded to bytes using the default encoding, prefer that.
+
+        Why the default encoding? Because that value can be implicitly
+        decoded back to text if needed.
+
+        Ref #1653
+        """
+        if six.PY3:
+            return val
+        try:
+            return val.encode()
+        except UnicodeEncodeError:
+            pass
+        return val
+
+    def _set_command_options(self, command_obj, option_dict=None):
+        """
+        Set the options for 'command_obj' from 'option_dict'.  Basically
+        this means copying elements of a dictionary ('option_dict') to
+        attributes of an instance ('command').
+
+        'command_obj' must be a Command instance.  If 'option_dict' is not
+        supplied, uses the standard option dictionary for this command
+        (from 'self.command_options').
+
+        (Adopted from distutils.dist.Distribution._set_command_options)
+        """
+        command_name = command_obj.get_command_name()
+        if option_dict is None:
+            option_dict = self.get_option_dict(command_name)
+
+        if DEBUG:
+            self.announce("  setting options for '%s' command:" % command_name)
+        for (option, (source, value)) in option_dict.items():
+            if DEBUG:
+                self.announce("    %s = %s (from %s)" % (option, value,
+                                                         source))
+            try:
+                bool_opts = [translate_longopt(o)
+                             for o in command_obj.boolean_options]
+            except AttributeError:
+                bool_opts = []
+            try:
+                neg_opt = command_obj.negative_opt
+            except AttributeError:
+                neg_opt = {}
+
+            try:
+                is_string = isinstance(value, six.string_types)
+                if option in neg_opt and is_string:
+                    setattr(command_obj, neg_opt[option], not strtobool(value))
+                elif option in bool_opts and is_string:
+                    setattr(command_obj, option, strtobool(value))
+                elif hasattr(command_obj, option):
+                    setattr(command_obj, option, value)
+                else:
+                    raise DistutilsOptionError(
+                        "error in %s: command '%s' has no such option '%s'"
+                        % (source, command_name, option))
+            except ValueError as msg:
+                raise DistutilsOptionError(msg)
+
+    def parse_config_files(self, filenames=None, ignore_option_errors=False):
+        """Parses configuration files from various levels
+        and loads configuration.
+
+        """
+        self._parse_config_files(filenames=filenames)
+
+        parse_configuration(self, self.command_options,
+                            ignore_option_errors=ignore_option_errors)
+        self._finalize_requires()
+
+    def parse_command_line(self):
+        """Process features after parsing command line options"""
+        result = _Distribution.parse_command_line(self)
+        if self.features:
+            self._finalize_features()
+        return result
+
+    def _feature_attrname(self, name):
+        """Convert feature name to corresponding option attribute name"""
+        return 'with_' + name.replace('-', '_')
+
+    def fetch_build_eggs(self, requires):
+        """Resolve pre-setup requirements"""
+        resolved_dists = pkg_resources.working_set.resolve(
+            pkg_resources.parse_requirements(requires),
+            installer=self.fetch_build_egg,
+            replace_conflicting=True,
+        )
+        for dist in resolved_dists:
+            pkg_resources.working_set.add(dist, replace=True)
+        return resolved_dists
+
+    def finalize_options(self):
+        _Distribution.finalize_options(self)
+        if self.features:
+            self._set_global_opts_from_features()
+
+        for ep in pkg_resources.iter_entry_points('distutils.setup_keywords'):
+            value = getattr(self, ep.name, None)
+            if value is not None:
+                ep.require(installer=self.fetch_build_egg)
+                ep.load()(self, ep.name, value)
+        if getattr(self, 'convert_2to3_doctests', None):
+            # XXX may convert to set here when we can rely on set being builtin
+            self.convert_2to3_doctests = [
+                os.path.abspath(p)
+                for p in self.convert_2to3_doctests
+            ]
+        else:
+            self.convert_2to3_doctests = []
+
+    def get_egg_cache_dir(self):
+        egg_cache_dir = os.path.join(os.curdir, '.eggs')
+        if not os.path.exists(egg_cache_dir):
+            os.mkdir(egg_cache_dir)
+            windows_support.hide_file(egg_cache_dir)
+            readme_txt_filename = os.path.join(egg_cache_dir, 'README.txt')
+            with open(readme_txt_filename, 'w') as f:
+                f.write('This directory contains eggs that were downloaded '
+                        'by setuptools to build, test, and run plug-ins.\n\n')
+                f.write('This directory caches those eggs to prevent '
+                        'repeated downloads.\n\n')
+                f.write('However, it is safe to delete this directory.\n\n')
+
+        return egg_cache_dir
+
+    def fetch_build_egg(self, req):
+        """Fetch an egg needed for building"""
+        from setuptools.command.easy_install import easy_install
+        dist = self.__class__({'script_args': ['easy_install']})
+        opts = dist.get_option_dict('easy_install')
+        opts.clear()
+        opts.update(
+            (k, v)
+            for k, v in self.get_option_dict('easy_install').items()
+            if k in (
+                # don't use any other settings
+                'find_links', 'site_dirs', 'index_url',
+                'optimize', 'site_dirs', 'allow_hosts',
+            ))
+        if self.dependency_links:
+            links = self.dependency_links[:]
+            if 'find_links' in opts:
+                links = opts['find_links'][1] + links
+            opts['find_links'] = ('setup', links)
+        install_dir = self.get_egg_cache_dir()
+        cmd = easy_install(
+            dist, args=["x"], install_dir=install_dir,
+            exclude_scripts=True,
+            always_copy=False, build_directory=None, editable=False,
+            upgrade=False, multi_version=True, no_report=True, user=False
+        )
+        cmd.ensure_finalized()
+        return cmd.easy_install(req)
+
+    def _set_global_opts_from_features(self):
+        """Add --with-X/--without-X options based on optional features"""
+
+        go = []
+        no = self.negative_opt.copy()
+
+        for name, feature in self.features.items():
+            self._set_feature(name, None)
+            feature.validate(self)
+
+            if feature.optional:
+                descr = feature.description
+                incdef = ' (default)'
+                excdef = ''
+                if not feature.include_by_default():
+                    excdef, incdef = incdef, excdef
+
+                new = (
+                    ('with-' + name, None, 'include ' + descr + incdef),
+                    ('without-' + name, None, 'exclude ' + descr + excdef),
+                )
+                go.extend(new)
+                no['without-' + name] = 'with-' + name
+
+        self.global_options = self.feature_options = go + self.global_options
+        self.negative_opt = self.feature_negopt = no
+
+    def _finalize_features(self):
+        """Add/remove features and resolve dependencies between them"""
+
+        # First, flag all the enabled items (and thus their dependencies)
+        for name, feature in self.features.items():
+            enabled = self.feature_is_included(name)
+            if enabled or (enabled is None and feature.include_by_default()):
+                feature.include_in(self)
+                self._set_feature(name, 1)
+
+        # Then disable the rest, so that off-by-default features don't
+        # get flagged as errors when they're required by an enabled feature
+        for name, feature in self.features.items():
+            if not self.feature_is_included(name):
+                feature.exclude_from(self)
+                self._set_feature(name, 0)
+
+    def get_command_class(self, command):
+        """Pluggable version of get_command_class()"""
+        if command in self.cmdclass:
+            return self.cmdclass[command]
+
+        eps = pkg_resources.iter_entry_points('distutils.commands', command)
+        for ep in eps:
+            ep.require(installer=self.fetch_build_egg)
+            self.cmdclass[command] = cmdclass = ep.load()
+            return cmdclass
+        else:
+            return _Distribution.get_command_class(self, command)
+
+    def print_commands(self):
+        for ep in pkg_resources.iter_entry_points('distutils.commands'):
+            if ep.name not in self.cmdclass:
+                # don't require extras as the commands won't be invoked
+                cmdclass = ep.resolve()
+                self.cmdclass[ep.name] = cmdclass
+        return _Distribution.print_commands(self)
+
+    def get_command_list(self):
+        for ep in pkg_resources.iter_entry_points('distutils.commands'):
+            if ep.name not in self.cmdclass:
+                # don't require extras as the commands won't be invoked
+                cmdclass = ep.resolve()
+                self.cmdclass[ep.name] = cmdclass
+        return _Distribution.get_command_list(self)
+
+    def _set_feature(self, name, status):
+        """Set feature's inclusion status"""
+        setattr(self, self._feature_attrname(name), status)
+
+    def feature_is_included(self, name):
+        """Return 1 if feature is included, 0 if excluded, 'None' if unknown"""
+        return getattr(self, self._feature_attrname(name))
+
+    def include_feature(self, name):
+        """Request inclusion of feature named 'name'"""
+
+        if self.feature_is_included(name) == 0:
+            descr = self.features[name].description
+            raise DistutilsOptionError(
+                descr + " is required, but was excluded or is not available"
+            )
+        self.features[name].include_in(self)
+        self._set_feature(name, 1)
+
+    def include(self, **attrs):
+        """Add items to distribution that are named in keyword arguments
+
+        For example, 'dist.include(py_modules=["x"])' would add 'x' to
+        the distribution's 'py_modules' attribute, if it was not already
+        there.
+
+        Currently, this method only supports inclusion for attributes that are
+        lists or tuples.  If you need to add support for adding to other
+        attributes in this or a subclass, you can add an '_include_X' method,
+        where 'X' is the name of the attribute.  The method will be called with
+        the value passed to 'include()'.  So, 'dist.include(foo={"bar":"baz"})'
+        will try to call 'dist._include_foo({"bar":"baz"})', which can then
+        handle whatever special inclusion logic is needed.
+        """
+        for k, v in attrs.items():
+            include = getattr(self, '_include_' + k, None)
+            if include:
+                include(v)
+            else:
+                self._include_misc(k, v)
+
+    def exclude_package(self, package):
+        """Remove packages, modules, and extensions in named package"""
+
+        pfx = package + '.'
+        if self.packages:
+            self.packages = [
+                p for p in self.packages
+                if p != package and not p.startswith(pfx)
+            ]
+
+        if self.py_modules:
+            self.py_modules = [
+                p for p in self.py_modules
+                if p != package and not p.startswith(pfx)
+            ]
+
+        if self.ext_modules:
+            self.ext_modules = [
+                p for p in self.ext_modules
+                if p.name != package and not p.name.startswith(pfx)
+            ]
+
+    def has_contents_for(self, package):
+        """Return true if 'exclude_package(package)' would do something"""
+
+        pfx = package + '.'
+
+        for p in self.iter_distribution_names():
+            if p == package or p.startswith(pfx):
+                return True
+
+    def _exclude_misc(self, name, value):
+        """Handle 'exclude()' for list/tuple attrs without a special handler"""
+        if not isinstance(value, sequence):
+            raise DistutilsSetupError(
+                "%s: setting must be a list or tuple (%r)" % (name, value)
+            )
+        try:
+            old = getattr(self, name)
+        except AttributeError:
+            raise DistutilsSetupError(
+                "%s: No such distribution setting" % name
+            )
+        if old is not None and not isinstance(old, sequence):
+            raise DistutilsSetupError(
+                name + ": this setting cannot be changed via include/exclude"
+            )
+        elif old:
+            setattr(self, name, [item for item in old if item not in value])
+
+    def _include_misc(self, name, value):
+        """Handle 'include()' for list/tuple attrs without a special handler"""
+
+        if not isinstance(value, sequence):
+            raise DistutilsSetupError(
+                "%s: setting must be a list (%r)" % (name, value)
+            )
+        try:
+            old = getattr(self, name)
+        except AttributeError:
+            raise DistutilsSetupError(
+                "%s: No such distribution setting" % name
+            )
+        if old is None:
+            setattr(self, name, value)
+        elif not isinstance(old, sequence):
+            raise DistutilsSetupError(
+                name + ": this setting cannot be changed via include/exclude"
+            )
+        else:
+            new = [item for item in value if item not in old]
+            setattr(self, name, old + new)
+
+    def exclude(self, **attrs):
+        """Remove items from distribution that are named in keyword arguments
+
+        For example, 'dist.exclude(py_modules=["x"])' would remove 'x' from
+        the distribution's 'py_modules' attribute.  Excluding packages uses
+        the 'exclude_package()' method, so all of the package's contained
+        packages, modules, and extensions are also excluded.
+
+        Currently, this method only supports exclusion from attributes that are
+        lists or tuples.  If you need to add support for excluding from other
+        attributes in this or a subclass, you can add an '_exclude_X' method,
+        where 'X' is the name of the attribute.  The method will be called with
+        the value passed to 'exclude()'.  So, 'dist.exclude(foo={"bar":"baz"})'
+        will try to call 'dist._exclude_foo({"bar":"baz"})', which can then
+        handle whatever special exclusion logic is needed.
+        """
+        for k, v in attrs.items():
+            exclude = getattr(self, '_exclude_' + k, None)
+            if exclude:
+                exclude(v)
+            else:
+                self._exclude_misc(k, v)
+
+    def _exclude_packages(self, packages):
+        if not isinstance(packages, sequence):
+            raise DistutilsSetupError(
+                "packages: setting must be a list or tuple (%r)" % (packages,)
+            )
+        list(map(self.exclude_package, packages))
+
+    def _parse_command_opts(self, parser, args):
+        # Remove --with-X/--without-X options when processing command args
+        self.global_options = self.__class__.global_options
+        self.negative_opt = self.__class__.negative_opt
+
+        # First, expand any aliases
+        command = args[0]
+        aliases = self.get_option_dict('aliases')
+        while command in aliases:
+            src, alias = aliases[command]
+            del aliases[command]  # ensure each alias can expand only once!
+            import shlex
+            args[:1] = shlex.split(alias, True)
+            command = args[0]
+
+        nargs = _Distribution._parse_command_opts(self, parser, args)
+
+        # Handle commands that want to consume all remaining arguments
+        cmd_class = self.get_command_class(command)
+        if getattr(cmd_class, 'command_consumes_arguments', None):
+            self.get_option_dict(command)['args'] = ("command line", nargs)
+            if nargs is not None:
+                return []
+
+        return nargs
+
+    def get_cmdline_options(self):
+        """Return a '{cmd: {opt:val}}' map of all command-line options
+
+        Option names are all long, but do not include the leading '--', and
+        contain dashes rather than underscores.  If the option doesn't take
+        an argument (e.g. '--quiet'), the 'val' is 'None'.
+
+        Note that options provided by config files are intentionally excluded.
+        """
+
+        d = {}
+
+        for cmd, opts in self.command_options.items():
+
+            for opt, (src, val) in opts.items():
+
+                if src != "command line":
+                    continue
+
+                opt = opt.replace('_', '-')
+
+                if val == 0:
+                    cmdobj = self.get_command_obj(cmd)
+                    neg_opt = self.negative_opt.copy()
+                    neg_opt.update(getattr(cmdobj, 'negative_opt', {}))
+                    for neg, pos in neg_opt.items():
+                        if pos == opt:
+                            opt = neg
+                            val = None
+                            break
+                    else:
+                        raise AssertionError("Shouldn't be able to get here")
+
+                elif val == 1:
+                    val = None
+
+                d.setdefault(cmd, {})[opt] = val
+
+        return d
+
+    def iter_distribution_names(self):
+        """Yield all packages, modules, and extension names in distribution"""
+
+        for pkg in self.packages or ():
+            yield pkg
+
+        for module in self.py_modules or ():
+            yield module
+
+        for ext in self.ext_modules or ():
+            if isinstance(ext, tuple):
+                name, buildinfo = ext
+            else:
+                name = ext.name
+            if name.endswith('module'):
+                name = name[:-6]
+            yield name
+
+    def handle_display_options(self, option_order):
+        """If there were any non-global "display-only" options
+        (--help-commands or the metadata display options) on the command
+        line, display the requested info and return true; else return
+        false.
+        """
+        import sys
+
+        if six.PY2 or self.help_commands:
+            return _Distribution.handle_display_options(self, option_order)
+
+        # Stdout may be StringIO (e.g. in tests)
+        if not isinstance(sys.stdout, io.TextIOWrapper):
+            return _Distribution.handle_display_options(self, option_order)
+
+        # Don't wrap stdout if utf-8 is already the encoding. Provides
+        #  workaround for #334.
+        if sys.stdout.encoding.lower() in ('utf-8', 'utf8'):
+            return _Distribution.handle_display_options(self, option_order)
+
+        # Print metadata in UTF-8 no matter the platform
+        encoding = sys.stdout.encoding
+        errors = sys.stdout.errors
+        newline = sys.platform != 'win32' and '\n' or None
+        line_buffering = sys.stdout.line_buffering
+
+        sys.stdout = io.TextIOWrapper(
+            sys.stdout.detach(), 'utf-8', errors, newline, line_buffering)
+        try:
+            return _Distribution.handle_display_options(self, option_order)
+        finally:
+            sys.stdout = io.TextIOWrapper(
+                sys.stdout.detach(), encoding, errors, newline, line_buffering)
+
+
+class Feature:
+    """
+    **deprecated** -- The `Feature` facility was never completely implemented
+    or supported, `has reported issues
+    `_ and will be removed in
+    a future version.
+
+    A subset of the distribution that can be excluded if unneeded/wanted
+
+    Features are created using these keyword arguments:
+
+      'description' -- a short, human readable description of the feature, to
+         be used in error messages, and option help messages.
+
+      'standard' -- if true, the feature is included by default if it is
+         available on the current system.  Otherwise, the feature is only
+         included if requested via a command line '--with-X' option, or if
+         another included feature requires it.  The default setting is 'False'.
+
+      'available' -- if true, the feature is available for installation on the
+         current system.  The default setting is 'True'.
+
+      'optional' -- if true, the feature's inclusion can be controlled from the
+         command line, using the '--with-X' or '--without-X' options.  If
+         false, the feature's inclusion status is determined automatically,
+         based on 'availabile', 'standard', and whether any other feature
+         requires it.  The default setting is 'True'.
+
+      'require_features' -- a string or sequence of strings naming features
+         that should also be included if this feature is included.  Defaults to
+         empty list.  May also contain 'Require' objects that should be
+         added/removed from the distribution.
+
+      'remove' -- a string or list of strings naming packages to be removed
+         from the distribution if this feature is *not* included.  If the
+         feature *is* included, this argument is ignored.  This argument exists
+         to support removing features that "crosscut" a distribution, such as
+         defining a 'tests' feature that removes all the 'tests' subpackages
+         provided by other features.  The default for this argument is an empty
+         list.  (Note: the named package(s) or modules must exist in the base
+         distribution when the 'setup()' function is initially called.)
+
+      other keywords -- any other keyword arguments are saved, and passed to
+         the distribution's 'include()' and 'exclude()' methods when the
+         feature is included or excluded, respectively.  So, for example, you
+         could pass 'packages=["a","b"]' to cause packages 'a' and 'b' to be
+         added or removed from the distribution as appropriate.
+
+    A feature must include at least one 'requires', 'remove', or other
+    keyword argument.  Otherwise, it can't affect the distribution in any way.
+    Note also that you can subclass 'Feature' to create your own specialized
+    feature types that modify the distribution in other ways when included or
+    excluded.  See the docstrings for the various methods here for more detail.
+    Aside from the methods, the only feature attributes that distributions look
+    at are 'description' and 'optional'.
+    """
+
+    @staticmethod
+    def warn_deprecated():
+        msg = (
+            "Features are deprecated and will be removed in a future "
+            "version. See https://github.com/pypa/setuptools/issues/65."
+        )
+        warnings.warn(msg, DistDeprecationWarning, stacklevel=3)
+
+    def __init__(
+            self, description, standard=False, available=True,
+            optional=True, require_features=(), remove=(), **extras):
+        self.warn_deprecated()
+
+        self.description = description
+        self.standard = standard
+        self.available = available
+        self.optional = optional
+        if isinstance(require_features, (str, Require)):
+            require_features = require_features,
+
+        self.require_features = [
+            r for r in require_features if isinstance(r, str)
+        ]
+        er = [r for r in require_features if not isinstance(r, str)]
+        if er:
+            extras['require_features'] = er
+
+        if isinstance(remove, str):
+            remove = remove,
+        self.remove = remove
+        self.extras = extras
+
+        if not remove and not require_features and not extras:
+            raise DistutilsSetupError(
+                "Feature %s: must define 'require_features', 'remove', or "
+                "at least one of 'packages', 'py_modules', etc."
+            )
+
+    def include_by_default(self):
+        """Should this feature be included by default?"""
+        return self.available and self.standard
+
+    def include_in(self, dist):
+        """Ensure feature and its requirements are included in distribution
+
+        You may override this in a subclass to perform additional operations on
+        the distribution.  Note that this method may be called more than once
+        per feature, and so should be idempotent.
+
+        """
+
+        if not self.available:
+            raise DistutilsPlatformError(
+                self.description + " is required, "
+                "but is not available on this platform"
+            )
+
+        dist.include(**self.extras)
+
+        for f in self.require_features:
+            dist.include_feature(f)
+
+    def exclude_from(self, dist):
+        """Ensure feature is excluded from distribution
+
+        You may override this in a subclass to perform additional operations on
+        the distribution.  This method will be called at most once per
+        feature, and only after all included features have been asked to
+        include themselves.
+        """
+
+        dist.exclude(**self.extras)
+
+        if self.remove:
+            for item in self.remove:
+                dist.exclude_package(item)
+
+    def validate(self, dist):
+        """Verify that feature makes sense in context of distribution
+
+        This method is called by the distribution just before it parses its
+        command line.  It checks to ensure that the 'remove' attribute, if any,
+        contains only valid package/module names that are present in the base
+        distribution when 'setup()' is called.  You may override it in a
+        subclass to perform any other required validation of the feature
+        against a target distribution.
+        """
+
+        for item in self.remove:
+            if not dist.has_contents_for(item):
+                raise DistutilsSetupError(
+                    "%s wants to be able to remove %s, but the distribution"
+                    " doesn't contain any packages or modules under %s"
+                    % (self.description, item, item)
+                )
+
+
+class DistDeprecationWarning(SetuptoolsDeprecationWarning):
+    """Class for warning about deprecations in dist in
+    setuptools. Not ignored by default, unlike DeprecationWarning."""
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/extension.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/extension.py
new file mode 100644
index 0000000000000000000000000000000000000000..29468894f828128f4c36660167dd1f9e68e584be
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/extension.py
@@ -0,0 +1,57 @@
+import re
+import functools
+import distutils.core
+import distutils.errors
+import distutils.extension
+
+from setuptools.extern.six.moves import map
+
+from .monkey import get_unpatched
+
+
+def _have_cython():
+    """
+    Return True if Cython can be imported.
+    """
+    cython_impl = 'Cython.Distutils.build_ext'
+    try:
+        # from (cython_impl) import build_ext
+        __import__(cython_impl, fromlist=['build_ext']).build_ext
+        return True
+    except Exception:
+        pass
+    return False
+
+
+# for compatibility
+have_pyrex = _have_cython
+
+_Extension = get_unpatched(distutils.core.Extension)
+
+
+class Extension(_Extension):
+    """Extension that uses '.c' files in place of '.pyx' files"""
+
+    def __init__(self, name, sources, *args, **kw):
+        # The *args is needed for compatibility as calls may use positional
+        # arguments. py_limited_api may be set only via keyword.
+        self.py_limited_api = kw.pop("py_limited_api", False)
+        _Extension.__init__(self, name, sources, *args, **kw)
+
+    def _convert_pyx_sources_to_lang(self):
+        """
+        Replace sources with .pyx extensions to sources with the target
+        language extension. This mechanism allows language authors to supply
+        pre-converted sources but to prefer the .pyx sources.
+        """
+        if _have_cython():
+            # the build has Cython, so allow it to compile the .pyx files
+            return
+        lang = self.language or ''
+        target_ext = '.cpp' if lang.lower() == 'c++' else '.c'
+        sub = functools.partial(re.sub, '.pyx$', target_ext)
+        self.sources = list(map(sub, self.sources))
+
+
+class Library(Extension):
+    """Just like a regular Extension, but built as a library instead"""
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/glibc.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/glibc.py
new file mode 100644
index 0000000000000000000000000000000000000000..a134591c30547300e0e55c6898a3a1590b3f0171
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/glibc.py
@@ -0,0 +1,86 @@
+# This file originally from pip:
+# https://github.com/pypa/pip/blob/8f4f15a5a95d7d5b511ceaee9ed261176c181970/src/pip/_internal/utils/glibc.py
+from __future__ import absolute_import
+
+import ctypes
+import re
+import warnings
+
+
+def glibc_version_string():
+    "Returns glibc version string, or None if not using glibc."
+
+    # ctypes.CDLL(None) internally calls dlopen(NULL), and as the dlopen
+    # manpage says, "If filename is NULL, then the returned handle is for the
+    # main program". This way we can let the linker do the work to figure out
+    # which libc our process is actually using.
+    process_namespace = ctypes.CDLL(None)
+    try:
+        gnu_get_libc_version = process_namespace.gnu_get_libc_version
+    except AttributeError:
+        # Symbol doesn't exist -> therefore, we are not linked to
+        # glibc.
+        return None
+
+    # Call gnu_get_libc_version, which returns a string like "2.5"
+    gnu_get_libc_version.restype = ctypes.c_char_p
+    version_str = gnu_get_libc_version()
+    # py2 / py3 compatibility:
+    if not isinstance(version_str, str):
+        version_str = version_str.decode("ascii")
+
+    return version_str
+
+
+# Separated out from have_compatible_glibc for easier unit testing
+def check_glibc_version(version_str, required_major, minimum_minor):
+    # Parse string and check against requested version.
+    #
+    # We use a regexp instead of str.split because we want to discard any
+    # random junk that might come after the minor version -- this might happen
+    # in patched/forked versions of glibc (e.g. Linaro's version of glibc
+    # uses version strings like "2.20-2014.11"). See gh-3588.
+    m = re.match(r"(?P[0-9]+)\.(?P[0-9]+)", version_str)
+    if not m:
+        warnings.warn("Expected glibc version with 2 components major.minor,"
+                      " got: %s" % version_str, RuntimeWarning)
+        return False
+    return (int(m.group("major")) == required_major and
+            int(m.group("minor")) >= minimum_minor)
+
+
+def have_compatible_glibc(required_major, minimum_minor):
+    version_str = glibc_version_string()
+    if version_str is None:
+        return False
+    return check_glibc_version(version_str, required_major, minimum_minor)
+
+
+# platform.libc_ver regularly returns completely nonsensical glibc
+# versions. E.g. on my computer, platform says:
+#
+#   ~$ python2.7 -c 'import platform; print(platform.libc_ver())'
+#   ('glibc', '2.7')
+#   ~$ python3.5 -c 'import platform; print(platform.libc_ver())'
+#   ('glibc', '2.9')
+#
+# But the truth is:
+#
+#   ~$ ldd --version
+#   ldd (Debian GLIBC 2.22-11) 2.22
+#
+# This is unfortunate, because it means that the linehaul data on libc
+# versions that was generated by pip 8.1.2 and earlier is useless and
+# misleading. Solution: instead of using platform, use our code that actually
+# works.
+def libc_ver():
+    """Try to determine the glibc version
+
+    Returns a tuple of strings (lib, version) which default to empty strings
+    in case the lookup fails.
+    """
+    glibc_version = glibc_version_string()
+    if glibc_version is None:
+        return ("", "")
+    else:
+        return ("glibc", glibc_version)
diff --git a/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/glob.py b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/glob.py
new file mode 100644
index 0000000000000000000000000000000000000000..9d7cbc5da68da8605d271b9314befb206b87bca6
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib/python3.7/site-packages/setuptools/glob.py
@@ -0,0 +1,174 @@
+"""
+Filename globbing utility. Mostly a copy of `glob` from Python 3.5.
+
+Changes include:
+ * `yield from` and PEP3102 `*` removed.
+ * Hidden files are not ignored.
+"""
+
+import os
+import re
+import fnmatch
+
+__all__ = ["glob", "iglob", "escape"]
+
+
+def glob(pathname, recursive=False):
+    """Return a list of paths matching a pathname pattern.
+
+    The pattern may contain simple shell-style wildcards a la
+    fnmatch. However, unlike fnmatch, filenames starting with a
+    dot are special cases that are not matched by '*' and '?'
+    patterns.
+
+    If recursive is true, the pattern '**' will match any files and
+    zero or more directories and subdirectories.
+    """
+    return list(iglob(pathname, recursive=recursive))
+
+
+def iglob(pathname, recursive=False):
+    """Return an iterator which yields the paths matching a pathname pattern.
+
+    The pattern may contain simple shell-style wildcards a la
+    fnmatch. However, unlike fnmatch, filenames starting with a
+    dot are special cases that are not matched by '*' and '?'
+    patterns.
+
+    If recursive is true, the pattern '**' will match any files and
+    zero or more directories and subdirectories.
+    """
+    it = _iglob(pathname, recursive)
+    if recursive and _isrecursive(pathname):
+        s = next(it)  # skip empty string
+        assert not s
+    return it
+
+
+def _iglob(pathname, recursive):
+    dirname, basename = os.path.split(pathname)
+    if not has_magic(pathname):
+        if basename:
+            if os.path.lexists(pathname):
+                yield pathname
+        else:
+            # Patterns ending with a slash should match only directories
+            if os.path.isdir(dirname):
+                yield pathname
+        return
+    if not dirname:
+        if recursive and _isrecursive(basename):
+            for x in glob2(dirname, basename):
+                yield x
+        else:
+            for x in glob1(dirname, basename):
+                yield x
+        return
+    # `os.path.split()` returns the argument itself as a dirname if it is a
+    # drive or UNC path.  Prevent an infinite recursion if a drive or UNC path
+    # contains magic characters (i.e. r'\\?\C:').
+    if dirname != pathname and has_magic(dirname):
+        dirs = _iglob(dirname, recursive)
+    else:
+        dirs = [dirname]
+    if has_magic(basename):
+        if recursive and _isrecursive(basename):
+            glob_in_dir = glob2
+        else:
+            glob_in_dir = glob1
+    else:
+        glob_in_dir = glob0
+    for dirname in dirs:
+        for name in glob_in_dir(dirname, basename):
+            yield os.path.join(dirname, name)
+
+
+# These 2 helper functions non-recursively glob inside a literal directory.
+# They return a list of basenames. `glob1` accepts a pattern while `glob0`
+# takes a literal basename (so it only has to check for its existence).
+
+
+def glob1(dirname, pattern):
+    if not dirname:
+        if isinstance(pattern, bytes):
+            dirname = os.curdir.encode('ASCII')
+        else:
+            dirname = os.curdir
+    try:
+        names = os.listdir(dirname)
+    except OSError:
+        return []
+    return fnmatch.filter(names, pattern)
+
+
+def glob0(dirname, basename):
+    if not basename:
+        # `os.path.split()` returns an empty basename for paths ending with a
+        # directory separator.  'q*x/' should match only directories.
+        if os.path.isdir(dirname):
+            return [basename]
+    else:
+        if os.path.lexists(os.path.join(dirname, basename)):
+            return [basename]
+    return []
+
+
+# This helper function recursively yields relative pathnames inside a literal
+# directory.
+
+
+def glob2(dirname, pattern):
+    assert _isrecursive(pattern)
+    yield pattern[:0]
+    for x in _rlistdir(dirname):
+        yield x
+
+
+# Recursively yields relative pathnames inside a literal directory.
+def _rlistdir(dirname):
+    if not dirname:
+        if isinstance(dirname, bytes):
+            dirname = os.curdir.encode('ASCII')
+        else:
+            dirname = os.curdir
+    try:
+        names = os.listdir(dirname)
+    except os.error:
+        return
+    for x in names:
+        yield x
+        path = os.path.join(dirname, x) if dirname else x
+        for y in _rlistdir(path):
+            yield os.path.join(x, y)
+
+
+magic_check = re.compile('([*?[])')
+magic_check_bytes = re.compile(b'([*?[])')
+
+
+def has_magic(s):
+    if isinstance(s, bytes):
+        match = magic_check_bytes.search(s)
+    else:
+        match = magic_check.search(s)
+    return match is not None
+
+
+def _isrecursive(pattern):
+    if isinstance(pattern, bytes):
+        return pattern == b'**'
+    else:
+        return pattern == '**'
+
+
+def escape(pathname):
+    """Escape all special characters.
+    """
+    # Escaping is done by wrapping any of "*?[" between square brackets.
+    # Metacharacters do not work in the drive part and shouldn't be escaped.
+    drive, pathname = os.path.splitdrive(pathname)
+    if isinstance(pathname, bytes):
+        pathname = magic_check_bytes.sub(br'[\1]', pathname)
+    else:
+        pathname = magic_check.sub(r'[\1]', pathname)
+    return drive + pathname
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/easy_install.py b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/easy_install.py
new file mode 100644
index 0000000000000000000000000000000000000000..d87e984034b6e6e9eb456ebcb2b3f420c07a48bc
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/easy_install.py
@@ -0,0 +1,5 @@
+"""Run the EasyInstall command"""
+
+if __name__ == '__main__':
+    from setuptools.command.easy_install import main
+    main()
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip-19.2.3.dist-info/INSTALLER b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip-19.2.3.dist-info/INSTALLER
new file mode 100644
index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip-19.2.3.dist-info/INSTALLER
@@ -0,0 +1 @@
+pip
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip-19.2.3.dist-info/LICENSE.txt b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip-19.2.3.dist-info/LICENSE.txt
new file mode 100644
index 0000000000000000000000000000000000000000..737fec5c5352af3d9a6a47a0670da4bdb52c5725
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip-19.2.3.dist-info/LICENSE.txt
@@ -0,0 +1,20 @@
+Copyright (c) 2008-2019 The pip developers (see AUTHORS.txt file)
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip-19.2.3.dist-info/METADATA b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip-19.2.3.dist-info/METADATA
new file mode 100644
index 0000000000000000000000000000000000000000..45e28ec6e8261c7c001069dcfb62e945f40889ae
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip-19.2.3.dist-info/METADATA
@@ -0,0 +1,81 @@
+Metadata-Version: 2.1
+Name: pip
+Version: 19.2.3
+Summary: The PyPA recommended tool for installing Python packages.
+Home-page: https://pip.pypa.io/
+Author: The pip developers
+Author-email: pypa-dev@groups.google.com
+License: MIT
+Keywords: distutils easy_install egg setuptools wheel virtualenv
+Platform: UNKNOWN
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Topic :: Software Development :: Build Tools
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 2
+Classifier: Programming Language :: Python :: 2.7
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.5
+Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*
+
+pip - The Python Package Installer
+==================================
+
+.. image:: https://img.shields.io/pypi/v/pip.svg
+   :target: https://pypi.org/project/pip/
+
+.. image:: https://readthedocs.org/projects/pip/badge/?version=latest
+   :target: https://pip.pypa.io/en/latest
+
+pip is the `package installer`_ for Python. You can use pip to install packages from the `Python Package Index`_ and other indexes.
+
+Please take a look at our documentation for how to install and use pip:
+
+* `Installation`_
+* `Usage`_
+
+Updates are released regularly, with a new version every 3 months. More details can be found in our documentation:
+
+* `Release notes`_
+* `Release process`_
+
+If you find bugs, need help, or want to talk to the developers please use our mailing lists or chat rooms:
+
+* `Issue tracking`_
+* `Discourse channel`_
+* `User IRC`_
+
+If you want to get involved head over to GitHub to get the source code, look at our development documentation and feel free to jump on the developer mailing lists and chat rooms:
+
+* `GitHub page`_
+* `Dev documentation`_
+* `Dev mailing list`_
+* `Dev IRC`_
+
+Code of Conduct
+---------------
+
+Everyone interacting in the pip project's codebases, issue trackers, chat
+rooms, and mailing lists is expected to follow the `PyPA Code of Conduct`_.
+
+.. _package installer: https://packaging.python.org/en/latest/current/
+.. _Python Package Index: https://pypi.org
+.. _Installation: https://pip.pypa.io/en/stable/installing.html
+.. _Usage: https://pip.pypa.io/en/stable/
+.. _Release notes: https://pip.pypa.io/en/stable/news.html
+.. _Release process: https://pip.pypa.io/en/latest/development/release-process/
+.. _GitHub page: https://github.com/pypa/pip
+.. _Dev documentation: https://pip.pypa.io/en/latest/development
+.. _Issue tracking: https://github.com/pypa/pip/issues
+.. _Discourse channel: https://discuss.python.org/c/packaging
+.. _Dev mailing list: https://groups.google.com/forum/#!forum/pypa-dev
+.. _User IRC: https://webchat.freenode.net/?channels=%23pypa
+.. _Dev IRC: https://webchat.freenode.net/?channels=%23pypa-dev
+.. _PyPA Code of Conduct: https://www.pypa.io/en/latest/code-of-conduct/
+
+
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip/__main__.py b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip/__main__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0c223f8c18783929659b3794ad714153c8c78223
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip/__main__.py
@@ -0,0 +1,19 @@
+from __future__ import absolute_import
+
+import os
+import sys
+
+# If we are running from a wheel, add the wheel to sys.path
+# This allows the usage python pip-*.whl/pip install pip-*.whl
+if __package__ == '':
+    # __file__ is pip-*.whl/pip/__main__.py
+    # first dirname call strips of '/__main__.py', second strips off '/pip'
+    # Resulting path is the name of the wheel itself
+    # Add that to sys.path so we can import pip
+    path = os.path.dirname(os.path.dirname(__file__))
+    sys.path.insert(0, path)
+
+from pip._internal import main as _main  # isort:skip # noqa
+
+if __name__ == '__main__':
+    sys.exit(_main())
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip/_internal/__init__.py b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip/_internal/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..fbadc28ac21e9b7e7785cdc24cd49e717a8644bc
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip/_internal/__init__.py
@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+from __future__ import absolute_import
+
+import locale
+import logging
+import os
+import warnings
+
+import sys
+
+# 2016-06-17 barry@debian.org: urllib3 1.14 added optional support for socks,
+# but if invoked (i.e. imported), it will issue a warning to stderr if socks
+# isn't available.  requests unconditionally imports urllib3's socks contrib
+# module, triggering this warning.  The warning breaks DEP-8 tests (because of
+# the stderr output) and is just plain annoying in normal usage.  I don't want
+# to add socks as yet another dependency for pip, nor do I want to allow-stderr
+# in the DEP-8 tests, so just suppress the warning.  pdb tells me this has to
+# be done before the import of pip.vcs.
+from pip._vendor.urllib3.exceptions import DependencyWarning
+warnings.filterwarnings("ignore", category=DependencyWarning)  # noqa
+
+# We want to inject the use of SecureTransport as early as possible so that any
+# references or sessions or what have you are ensured to have it, however we
+# only want to do this in the case that we're running on macOS and the linked
+# OpenSSL is too old to handle TLSv1.2
+try:
+    import ssl
+except ImportError:
+    pass
+else:
+    # Checks for OpenSSL 1.0.1 on MacOS
+    if sys.platform == "darwin" and ssl.OPENSSL_VERSION_NUMBER < 0x1000100f:
+        try:
+            from pip._vendor.urllib3.contrib import securetransport
+        except (ImportError, OSError):
+            pass
+        else:
+            securetransport.inject_into_urllib3()
+
+from pip._internal.cli.autocompletion import autocomplete
+from pip._internal.cli.main_parser import parse_command
+from pip._internal.commands import commands_dict
+from pip._internal.exceptions import PipError
+from pip._internal.utils import deprecation
+from pip._vendor.urllib3.exceptions import InsecureRequestWarning
+
+logger = logging.getLogger(__name__)
+
+# Hide the InsecureRequestWarning from urllib3
+warnings.filterwarnings("ignore", category=InsecureRequestWarning)
+
+
+def main(args=None):
+    if args is None:
+        args = sys.argv[1:]
+
+    # Configure our deprecation warnings to be sent through loggers
+    deprecation.install_warning_logger()
+
+    autocomplete()
+
+    try:
+        cmd_name, cmd_args = parse_command(args)
+    except PipError as exc:
+        sys.stderr.write("ERROR: %s" % exc)
+        sys.stderr.write(os.linesep)
+        sys.exit(1)
+
+    # Needed for locale.getpreferredencoding(False) to work
+    # in pip._internal.utils.encoding.auto_decode
+    try:
+        locale.setlocale(locale.LC_ALL, '')
+    except locale.Error as e:
+        # setlocale can apparently crash if locale are uninitialized
+        logger.debug("Ignoring error %s when setting locale", e)
+    command = commands_dict[cmd_name](isolated=("--isolated" in cmd_args))
+    return command.main(cmd_args)
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip/_internal/build_env.py b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip/_internal/build_env.py
new file mode 100644
index 0000000000000000000000000000000000000000..a060ceea2ca68ab0733577849bbe4cadae980d1b
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/pip/_internal/build_env.py
@@ -0,0 +1,218 @@
+"""Build Environment used for isolation during sdist building
+"""
+
+import logging
+import os
+import sys
+import textwrap
+from collections import OrderedDict
+from distutils.sysconfig import get_python_lib
+from sysconfig import get_paths
+
+from pip._vendor.pkg_resources import Requirement, VersionConflict, WorkingSet
+
+from pip import __file__ as pip_location
+from pip._internal.utils.misc import call_subprocess
+from pip._internal.utils.temp_dir import TempDirectory
+from pip._internal.utils.typing import MYPY_CHECK_RUNNING
+from pip._internal.utils.ui import open_spinner
+
+if MYPY_CHECK_RUNNING:
+    from typing import Tuple, Set, Iterable, Optional, List
+    from pip._internal.index import PackageFinder
+
+logger = logging.getLogger(__name__)
+
+
+class _Prefix:
+
+    def __init__(self, path):
+        # type: (str) -> None
+        self.path = path
+        self.setup = False
+        self.bin_dir = get_paths(
+            'nt' if os.name == 'nt' else 'posix_prefix',
+            vars={'base': path, 'platbase': path}
+        )['scripts']
+        # Note: prefer distutils' sysconfig to get the
+        # library paths so PyPy is correctly supported.
+        purelib = get_python_lib(plat_specific=False, prefix=path)
+        platlib = get_python_lib(plat_specific=True, prefix=path)
+        if purelib == platlib:
+            self.lib_dirs = [purelib]
+        else:
+            self.lib_dirs = [purelib, platlib]
+
+
+class BuildEnvironment(object):
+    """Creates and manages an isolated environment to install build deps
+    """
+
+    def __init__(self):
+        # type: () -> None
+        self._temp_dir = TempDirectory(kind="build-env")
+        self._temp_dir.create()
+
+        self._prefixes = OrderedDict((
+            (name, _Prefix(os.path.join(self._temp_dir.path, name)))
+            for name in ('normal', 'overlay')
+        ))
+
+        self._bin_dirs = []  # type: List[str]
+        self._lib_dirs = []  # type: List[str]
+        for prefix in reversed(list(self._prefixes.values())):
+            self._bin_dirs.append(prefix.bin_dir)
+            self._lib_dirs.extend(prefix.lib_dirs)
+
+        # Customize site to:
+        # - ensure .pth files are honored
+        # - prevent access to system site packages
+        system_sites = {
+            os.path.normcase(site) for site in (
+                get_python_lib(plat_specific=False),
+                get_python_lib(plat_specific=True),
+            )
+        }
+        self._site_dir = os.path.join(self._temp_dir.path, 'site')
+        if not os.path.exists(self._site_dir):
+            os.mkdir(self._site_dir)
+        with open(os.path.join(self._site_dir, 'sitecustomize.py'), 'w') as fp:
+            fp.write(textwrap.dedent(
+                '''
+                import os, site, sys
+
+                # First, drop system-sites related paths.
+                original_sys_path = sys.path[:]
+                known_paths = set()
+                for path in {system_sites!r}:
+                    site.addsitedir(path, known_paths=known_paths)
+                system_paths = set(
+                    os.path.normcase(path)
+                    for path in sys.path[len(original_sys_path):]
+                )
+                original_sys_path = [
+                    path for path in original_sys_path
+                    if os.path.normcase(path) not in system_paths
+                ]
+                sys.path = original_sys_path
+
+                # Second, add lib directories.
+                # ensuring .pth file are processed.
+                for path in {lib_dirs!r}:
+                    assert not path in sys.path
+                    site.addsitedir(path)
+                '''
+            ).format(system_sites=system_sites, lib_dirs=self._lib_dirs))
+
+    def __enter__(self):
+        self._save_env = {
+            name: os.environ.get(name, None)
+            for name in ('PATH', 'PYTHONNOUSERSITE', 'PYTHONPATH')
+        }
+
+        path = self._bin_dirs[:]
+        old_path = self._save_env['PATH']
+        if old_path:
+            path.extend(old_path.split(os.pathsep))
+
+        pythonpath = [self._site_dir]
+
+        os.environ.update({
+            'PATH': os.pathsep.join(path),
+            'PYTHONNOUSERSITE': '1',
+            'PYTHONPATH': os.pathsep.join(pythonpath),
+        })
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        for varname, old_value in self._save_env.items():
+            if old_value is None:
+                os.environ.pop(varname, None)
+            else:
+                os.environ[varname] = old_value
+
+    def cleanup(self):
+        # type: () -> None
+        self._temp_dir.cleanup()
+
+    def check_requirements(self, reqs):
+        # type: (Iterable[str]) -> Tuple[Set[Tuple[str, str]], Set[str]]
+        """Return 2 sets:
+            - conflicting requirements: set of (installed, wanted) reqs tuples
+            - missing requirements: set of reqs
+        """
+        missing = set()
+        conflicting = set()
+        if reqs:
+            ws = WorkingSet(self._lib_dirs)
+            for req in reqs:
+                try:
+                    if ws.find(Requirement.parse(req)) is None:
+                        missing.add(req)
+                except VersionConflict as e:
+                    conflicting.add((str(e.args[0].as_requirement()),
+                                     str(e.args[1])))
+        return conflicting, missing
+
+    def install_requirements(
+        self,
+        finder,  # type: PackageFinder
+        requirements,  # type: Iterable[str]
+        prefix_as_string,  # type: str
+        message  # type: Optional[str]
+    ):
+        # type: (...) -> None
+        prefix = self._prefixes[prefix_as_string]
+        assert not prefix.setup
+        prefix.setup = True
+        if not requirements:
+            return
+        args = [
+            sys.executable, os.path.dirname(pip_location), 'install',
+            '--ignore-installed', '--no-user', '--prefix', prefix.path,
+            '--no-warn-script-location',
+        ]  # type: List[str]
+        if logger.getEffectiveLevel() <= logging.DEBUG:
+            args.append('-v')
+        for format_control in ('no_binary', 'only_binary'):
+            formats = getattr(finder.format_control, format_control)
+            args.extend(('--' + format_control.replace('_', '-'),
+                         ','.join(sorted(formats or {':none:'}))))
+
+        index_urls = finder.index_urls
+        if index_urls:
+            args.extend(['-i', index_urls[0]])
+            for extra_index in index_urls[1:]:
+                args.extend(['--extra-index-url', extra_index])
+        else:
+            args.append('--no-index')
+        for link in finder.find_links:
+            args.extend(['--find-links', link])
+
+        for host in finder.trusted_hosts:
+            args.extend(['--trusted-host', host])
+        if finder.allow_all_prereleases:
+            args.append('--pre')
+        args.append('--')
+        args.extend(requirements)
+        with open_spinner(message) as spinner:
+            call_subprocess(args, spinner=spinner)
+
+
+class NoOpBuildEnvironment(BuildEnvironment):
+    """A no-op drop-in replacement for BuildEnvironment
+    """
+
+    def __init__(self):
+        pass
+
+    def __enter__(self):
+        pass
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        pass
+
+    def cleanup(self):
+        pass
+
+    def install_requirements(self, finder, requirements, prefix, message):
+        raise NotImplementedError()
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/setuptools/command/bdist_wininst.py b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/setuptools/command/bdist_wininst.py
new file mode 100644
index 0000000000000000000000000000000000000000..073de97b46c92e2e221cade8c1350ab2c5cff891
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/setuptools/command/bdist_wininst.py
@@ -0,0 +1,21 @@
+import distutils.command.bdist_wininst as orig
+
+
+class bdist_wininst(orig.bdist_wininst):
+    def reinitialize_command(self, command, reinit_subcommands=0):
+        """
+        Supplement reinitialize_command to work around
+        http://bugs.python.org/issue20819
+        """
+        cmd = self.distribution.reinitialize_command(
+            command, reinit_subcommands)
+        if command in ('install', 'install_lib'):
+            cmd.install_lib = None
+        return cmd
+
+    def run(self):
+        self._is_running = True
+        try:
+            orig.bdist_wininst.run(self)
+        finally:
+            self._is_running = False
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/setuptools/command/build_ext.py b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/setuptools/command/build_ext.py
new file mode 100644
index 0000000000000000000000000000000000000000..daa8e4fe81c18e8fc3e07718b4a66137b062127e
--- /dev/null
+++ b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/setuptools/command/build_ext.py
@@ -0,0 +1,327 @@
+import os
+import sys
+import itertools
+from distutils.command.build_ext import build_ext as _du_build_ext
+from distutils.file_util import copy_file
+from distutils.ccompiler import new_compiler
+from distutils.sysconfig import customize_compiler, get_config_var
+from distutils.errors import DistutilsError
+from distutils import log
+
+from setuptools.extension import Library
+from setuptools.extern import six
+
+if six.PY2:
+    import imp
+
+    EXTENSION_SUFFIXES = [s for s, _, tp in imp.get_suffixes() if tp == imp.C_EXTENSION]
+else:
+    from importlib.machinery import EXTENSION_SUFFIXES
+
+try:
+    # Attempt to use Cython for building extensions, if available
+    from Cython.Distutils.build_ext import build_ext as _build_ext
+    # Additionally, assert that the compiler module will load
+    # also. Ref #1229.
+    __import__('Cython.Compiler.Main')
+except ImportError:
+    _build_ext = _du_build_ext
+
+# make sure _config_vars is initialized
+get_config_var("LDSHARED")
+from distutils.sysconfig import _config_vars as _CONFIG_VARS
+
+
+def _customize_compiler_for_shlib(compiler):
+    if sys.platform == "darwin":
+        # building .dylib requires additional compiler flags on OSX; here we
+        # temporarily substitute the pyconfig.h variables so that distutils'
+        # 'customize_compiler' uses them before we build the shared libraries.
+        tmp = _CONFIG_VARS.copy()
+        try:
+            # XXX Help!  I don't have any idea whether these are right...
+            _CONFIG_VARS['LDSHARED'] = (
+                "gcc -Wl,-x -dynamiclib -undefined dynamic_lookup")
+            _CONFIG_VARS['CCSHARED'] = " -dynamiclib"
+            _CONFIG_VARS['SO'] = ".dylib"
+            customize_compiler(compiler)
+        finally:
+            _CONFIG_VARS.clear()
+            _CONFIG_VARS.update(tmp)
+    else:
+        customize_compiler(compiler)
+
+
+have_rtld = False
+use_stubs = False
+libtype = 'shared'
+
+if sys.platform == "darwin":
+    use_stubs = True
+elif os.name != 'nt':
+    try:
+        import dl
+        use_stubs = have_rtld = hasattr(dl, 'RTLD_NOW')
+    except ImportError:
+        pass
+
+if_dl = lambda s: s if have_rtld else ''
+
+
+def get_abi3_suffix():
+    """Return the file extension for an abi3-compliant Extension()"""
+    for suffix in EXTENSION_SUFFIXES:
+        if '.abi3' in suffix:  # Unix
+            return suffix
+        elif suffix == '.pyd':  # Windows
+            return suffix
+
+
+class build_ext(_build_ext):
+    def run(self):
+        """Build extensions in build directory, then copy if --inplace"""
+        old_inplace, self.inplace = self.inplace, 0
+        _build_ext.run(self)
+        self.inplace = old_inplace
+        if old_inplace:
+            self.copy_extensions_to_source()
+
+    def copy_extensions_to_source(self):
+        build_py = self.get_finalized_command('build_py')
+        for ext in self.extensions:
+            fullname = self.get_ext_fullname(ext.name)
+            filename = self.get_ext_filename(fullname)
+            modpath = fullname.split('.')
+            package = '.'.join(modpath[:-1])
+            package_dir = build_py.get_package_dir(package)
+            dest_filename = os.path.join(package_dir,
+                                         os.path.basename(filename))
+            src_filename = os.path.join(self.build_lib, filename)
+
+            # Always copy, even if source is older than destination, to ensure
+            # that the right extensions for the current Python/platform are
+            # used.
+            copy_file(
+                src_filename, dest_filename, verbose=self.verbose,
+                dry_run=self.dry_run
+            )
+            if ext._needs_stub:
+                self.write_stub(package_dir or os.curdir, ext, True)
+
+    def get_ext_filename(self, fullname):
+        filename = _build_ext.get_ext_filename(self, fullname)
+        if fullname in self.ext_map:
+            ext = self.ext_map[fullname]
+            use_abi3 = (
+                six.PY3
+                and getattr(ext, 'py_limited_api')
+                and get_abi3_suffix()
+            )
+            if use_abi3:
+                so_ext = get_config_var('EXT_SUFFIX')
+                filename = filename[:-len(so_ext)]
+                filename = filename + get_abi3_suffix()
+            if isinstance(ext, Library):
+                fn, ext = os.path.splitext(filename)
+                return self.shlib_compiler.library_filename(fn, libtype)
+            elif use_stubs and ext._links_to_dynamic:
+                d, fn = os.path.split(filename)
+                return os.path.join(d, 'dl-' + fn)
+        return filename
+
+    def initialize_options(self):
+        _build_ext.initialize_options(self)
+        self.shlib_compiler = None
+        self.shlibs = []
+        self.ext_map = {}
+
+    def finalize_options(self):
+        _build_ext.finalize_options(self)
+        self.extensions = self.extensions or []
+        self.check_extensions_list(self.extensions)
+        self.shlibs = [ext for ext in self.extensions
+                       if isinstance(ext, Library)]
+        if self.shlibs:
+            self.setup_shlib_compiler()
+        for ext in self.extensions:
+            ext._full_name = self.get_ext_fullname(ext.name)
+        for ext in self.extensions:
+            fullname = ext._full_name
+            self.ext_map[fullname] = ext
+
+            # distutils 3.1 will also ask for module names
+            # XXX what to do with conflicts?
+            self.ext_map[fullname.split('.')[-1]] = ext
+
+            ltd = self.shlibs and self.links_to_dynamic(ext) or False
+            ns = ltd and use_stubs and not isinstance(ext, Library)
+            ext._links_to_dynamic = ltd
+            ext._needs_stub = ns
+            filename = ext._file_name = self.get_ext_filename(fullname)
+            libdir = os.path.dirname(os.path.join(self.build_lib, filename))
+            if ltd and libdir not in ext.library_dirs:
+                ext.library_dirs.append(libdir)
+            if ltd and use_stubs and os.curdir not in ext.runtime_library_dirs:
+                ext.runtime_library_dirs.append(os.curdir)
+
+    def setup_shlib_compiler(self):
+        compiler = self.shlib_compiler = new_compiler(
+            compiler=self.compiler, dry_run=self.dry_run, force=self.force
+        )
+        _customize_compiler_for_shlib(compiler)
+
+        if self.include_dirs is not None:
+            compiler.set_include_dirs(self.include_dirs)
+        if self.define is not None:
+            # 'define' option is a list of (name,value) tuples
+            for (name, value) in self.define:
+                compiler.define_macro(name, value)
+        if self.undef is not None:
+            for macro in self.undef:
+                compiler.undefine_macro(macro)
+        if self.libraries is not None:
+            compiler.set_libraries(self.libraries)
+        if self.library_dirs is not None:
+            compiler.set_library_dirs(self.library_dirs)
+        if self.rpath is not None:
+            compiler.set_runtime_library_dirs(self.rpath)
+        if self.link_objects is not None:
+            compiler.set_link_objects(self.link_objects)
+
+        # hack so distutils' build_extension() builds a library instead
+        compiler.link_shared_object = link_shared_object.__get__(compiler)
+
+    def get_export_symbols(self, ext):
+        if isinstance(ext, Library):
+            return ext.export_symbols
+        return _build_ext.get_export_symbols(self, ext)
+
+    def build_extension(self, ext):
+        ext._convert_pyx_sources_to_lang()
+        _compiler = self.compiler
+        try:
+            if isinstance(ext, Library):
+                self.compiler = self.shlib_compiler
+            _build_ext.build_extension(self, ext)
+            if ext._needs_stub:
+                cmd = self.get_finalized_command('build_py').build_lib
+                self.write_stub(cmd, ext)
+        finally:
+            self.compiler = _compiler
+
+    def links_to_dynamic(self, ext):
+        """Return true if 'ext' links to a dynamic lib in the same package"""
+        # XXX this should check to ensure the lib is actually being built
+        # XXX as dynamic, and not just using a locally-found version or a
+        # XXX static-compiled version
+        libnames = dict.fromkeys([lib._full_name for lib in self.shlibs])
+        pkg = '.'.join(ext._full_name.split('.')[:-1] + [''])
+        return any(pkg + libname in libnames for libname in ext.libraries)
+
+    def get_outputs(self):
+        return _build_ext.get_outputs(self) + self.__get_stubs_outputs()
+
+    def __get_stubs_outputs(self):
+        # assemble the base name for each extension that needs a stub
+        ns_ext_bases = (
+            os.path.join(self.build_lib, *ext._full_name.split('.'))
+            for ext in self.extensions
+            if ext._needs_stub
+        )
+        # pair each base with the extension
+        pairs = itertools.product(ns_ext_bases, self.__get_output_extensions())
+        return list(base + fnext for base, fnext in pairs)
+
+    def __get_output_extensions(self):
+        yield '.py'
+        yield '.pyc'
+        if self.get_finalized_command('build_py').optimize:
+            yield '.pyo'
+
+    def write_stub(self, output_dir, ext, compile=False):
+        log.info("writing stub loader for %s to %s", ext._full_name,
+                 output_dir)
+        stub_file = (os.path.join(output_dir, *ext._full_name.split('.')) +
+                     '.py')
+        if compile and os.path.exists(stub_file):
+            raise DistutilsError(stub_file + " already exists! Please delete.")
+        if not self.dry_run:
+            f = open(stub_file, 'w')
+            f.write(
+                '\n'.join([
+                    "def __bootstrap__():",
+                    "   global __bootstrap__, __file__, __loader__",
+                    "   import sys, os, pkg_resources, imp" + if_dl(", dl"),
+                    "   __file__ = pkg_resources.resource_filename"
+                    "(__name__,%r)"
+                    % os.path.basename(ext._file_name),
+                    "   del __bootstrap__",
+                    "   if '__loader__' in globals():",
+                    "       del __loader__",
+                    if_dl("   old_flags = sys.getdlopenflags()"),
+                    "   old_dir = os.getcwd()",
+                    "   try:",
+                    "     os.chdir(os.path.dirname(__file__))",
+                    if_dl("     sys.setdlopenflags(dl.RTLD_NOW)"),
+                    "     imp.load_dynamic(__name__,__file__)",
+                    "   finally:",
+                    if_dl("     sys.setdlopenflags(old_flags)"),
+                    "     os.chdir(old_dir)",
+                    "__bootstrap__()",
+                    ""  # terminal \n
+                ])
+            )
+            f.close()
+        if compile:
+            from distutils.util import byte_compile
+
+            byte_compile([stub_file], optimize=0,
+                         force=True, dry_run=self.dry_run)
+            optimize = self.get_finalized_command('install_lib').optimize
+            if optimize > 0:
+                byte_compile([stub_file], optimize=optimize,
+                             force=True, dry_run=self.dry_run)
+            if os.path.exists(stub_file) and not self.dry_run:
+                os.unlink(stub_file)
+
+
+if use_stubs or os.name == 'nt':
+    # Build shared libraries
+    #
+    def link_shared_object(
+            self, objects, output_libname, output_dir=None, libraries=None,
+            library_dirs=None, runtime_library_dirs=None, export_symbols=None,
+            debug=0, extra_preargs=None, extra_postargs=None, build_temp=None,
+            target_lang=None):
+        self.link(
+            self.SHARED_LIBRARY, objects, output_libname,
+            output_dir, libraries, library_dirs, runtime_library_dirs,
+            export_symbols, debug, extra_preargs, extra_postargs,
+            build_temp, target_lang
+        )
+else:
+    # Build static libraries everywhere else
+    libtype = 'static'
+
+    def link_shared_object(
+            self, objects, output_libname, output_dir=None, libraries=None,
+            library_dirs=None, runtime_library_dirs=None, export_symbols=None,
+            debug=0, extra_preargs=None, extra_postargs=None, build_temp=None,
+            target_lang=None):
+        # XXX we need to either disallow these attrs on Library instances,
+        # or warn/abort here if set, or something...
+        # libraries=None, library_dirs=None, runtime_library_dirs=None,
+        # export_symbols=None, extra_preargs=None, extra_postargs=None,
+        # build_temp=None
+
+        assert output_dir is None  # distutils build_ext doesn't pass this
+        output_dir, filename = os.path.split(output_libname)
+        basename, ext = os.path.splitext(filename)
+        if self.library_filename("x").startswith('lib'):
+            # strip 'lib' prefix; this is kludgy if some platform uses
+            # a different prefix
+            basename = basename[3:]
+
+        self.create_static_lib(
+            objects, basename, output_dir, debug, target_lang
+        )
diff --git a/ADM-master/lab01/.venv/lib64/python3.7/site-packages/setuptools/gui-32.exe b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/setuptools/gui-32.exe
new file mode 100644
index 0000000000000000000000000000000000000000..f8d3509653ba8f80ca7f3aa7f95616142ba83a94
Binary files /dev/null and b/ADM-master/lab01/.venv/lib64/python3.7/site-packages/setuptools/gui-32.exe differ
diff --git a/AE3537-master/readfile.m b/AE3537-master/readfile.m
new file mode 100644
index 0000000000000000000000000000000000000000..8defed52e710f7f64fbb962c2af3dee5d103652f
--- /dev/null
+++ b/AE3537-master/readfile.m
@@ -0,0 +1,143 @@
+clear all;
+close all;
+clc;
+
+addpath('YAMLMatlab')
+%% select data file
+
+filename = 'FUNcube-1_39444_201808311030';
+
+viewMatplot = 1; % 1 to plot matlab figure for inspection
+construct_bmp = 0; % 1 to construct BMP of selected waterfall plot
+
+yml = ReadYaml([filename '.yml']);
+
+%% cut wav file in to pieces
+
+% particular settings for the pass
+ftune = yml.Sat.State.TuningFrequency; % not needed in the creation of the figure
+Fs = yml.Sat.Record.sample_rate;
+Ttime = yml.Sat.Predict.LengthOfPass;
+Dt = 0.1;
+
+% time and length settings
+L = Ttime.*Fs;
+Lpart = round(L/(Ttime/Dt));
+
+% Fourier transformation settings
+NFFT = 2^nextpow2(Lpart);
+%NFFT = 16384;
+%NFFT = 8192;
+%NFFT = 65536;
+%NFFT = 32768;
+half = NFFT/2;
+
+%% get values for axis waterfall plot
+f0 = 0;%ftune; % if absolute plot, then replace with center frequency
+nx = Fs/NFFT;
+ny = Dt;
+bandwidth = f0-Fs/2+nx/2:nx:f0+Fs/2-nx/2;
+time = 1:ny:Ttime;
+Timeband = Ttime/Dt;
+
+%%
+
+%[Xchirp] = create_LORAchirp(-ftune,125e3,0.0165,-ftune,Fs,10,0.0145);
+
+%% set certain zoom area
+% lbound = 12000;    % Delfi-C3 zoom
+% rbound = 24000;    % Delfi-C3 zoom
+
+lbound = -124900;
+rbound = 124900;
+
+%lbound = -149900;
+%rbound = 149900;
+
+% lbound = -50000;
+% rbound =  85000;
+
+%lbound = -40000;   % FunCube-1
+%rbound = -30000;    % FunCube-1
+
+lfreq = min(find(bandwidth>lbound));
+rfreq = min(find(bandwidth>rbound));
+
+% time bounds
+
+% ltbound = 424;
+% rtbound = 434;
+
+%ltbound = 1;
+% %rtbound = length(time);
+
+%ltime = min(find(time>ltbound));
+%rtime = min(find(time>rtbound));
+ltime = time(1);
+rtime = length(time);%
+
+Waterfall  = zeros(length(time(ltime:rtime)),length(bandwidth(lfreq:rfreq)));
+%%
+f = fopen ([filename '.32fc'], 'rb');
+for i = 1:Ttime/Dt
+
+    % read segment of the complete signal
+    if (f < 0)
+        %v = 0;
+        error(['File: ' filename '.32fc not read!!!'])
+    else
+        t = fread (f, [2, Lpart], 'float');
+        %fclose (f);
+        v = t(1,:) - t(2,:)*1i;
+        % v = (t(1,:) - t(2,:)*1i);
+        [r, c] = size (v);
+        v = reshape (v, c, r);
+    end
+
+    % complete segments, otherwise stop!
+    if ~Lpart==length(v)
+        break;
+    end
+
+    if i >= ltime && i < rtime
+        % perform fast fourier transform on the segment and shift the spectrum
+
+        bc = 1 + (i - ltime)*Lpart;
+        ec = Lpart + (i - ltime)*Lpart;
+
+        Y = fft(v,NFFT);
+        Y = fftshift(Y);
+
+        % only take the absolute values of the complex fourier transform
+        line = abs(Y(1:NFFT))./Lpart;
+
+        % place the line in the complete Waterfall matrix
+        Waterfall(i+1-ltime,:) = line(lfreq:rfreq);
+    end
+
+    % display number segment and remove old data
+    disp(i)
+    %clear Y
+end
+fclose(f);
+
+%% plot the zoomed-in waterfall plot in matlab for inspection
+if viewMatplot==1
+    load('spectrogramCMAP.mat')
+    figure%('Visible','off')
+    imagesc(bandwidth(lfreq:rfreq).*1e-3,time(ltime:rtime),10*log10(Waterfall))
+    %imagesc(bandwidth(lfreq:rfreq).*1e-3+468500,time,10*log(Waterfall))
+    caxis([-90 -50])
+    c = colorbar;
+    %cc = colormap;
+    %colormap(C);
+    ylabel('Time [sec]','FontSize',20)
+    ylabel(c,'Energy [dB]','FontSize',20)
+    xlabel(['Frequency offset to ' num2str(ftune./1e6) ' MHz [kHz]'],'FontSize',20)
+    set(gca,'FontSize',20,'YDir','normal')
+end
+
+%% Write waterfall plot to BMP file.
+if construct_bmp == 1
+    imwrite(flipud((Waterfall).*300),cc ,[filename '.bmp'],'bmp')
+end
\ No newline at end of file
diff --git a/AE3537-master/time_helper.py b/AE3537-master/time_helper.py
new file mode 100644
index 0000000000000000000000000000000000000000..0f516a9a7ef6d0a332247afbb40a9ba3622380e3
--- /dev/null
+++ b/AE3537-master/time_helper.py
@@ -0,0 +1,35 @@
+import julian
+import datetime
+import pytz
+import numpy as np
+
+
+def datetime2gast(date_time: datetime) -> float:
+    JD = julian.to_jd(date_time)
+    previous_midnight = datetime.datetime(date_time.year, date_time.month, date_time.day, 0,0,0, tzinfo=pytz.UTC)
+    JD0 = julian.to_jd(previous_midnight)
+    H = 24 * (JD - JD0)
+
+    D = JD - 2451545.0
+    D0 = JD0 - 2451545.0
+
+    GMST = ((6.697374558 + (0.06570982441908*D0) + (1.00273790935*H)) % 24)
+
+    Omega = np.deg2rad(125.04 - 0.052954*D)
+    L = np.deg2rad(280.47 + 0.98565*D)
+    epsilon = np.deg2rad(23.4393 - 0.0000004*D)
+    deltaPsi = -0.000319*np.sin(Omega) - 0.000024*np.sin(2*L)
+
+    eqeq = deltaPsi * np.cos(epsilon)
+
+    GAST = GMST + eqeq
+    return GAST
+
+
+def gast2rad(gast: float) -> float:
+    return gast / (24/ (2* np.pi))
+
+
+def datetime2rad(date_time: datetime) -> float:
+    gast = datetime2gast(date_time)
+    return gast2rad(gast)
diff --git a/AGH-Introduction-to-CS-master/Sortowanie - Sprawozdanie/Sorting.py b/AGH-Introduction-to-CS-master/Sortowanie - Sprawozdanie/Sorting.py
new file mode 100644
index 0000000000000000000000000000000000000000..6062c656313996467d19c7a8d8401d4cdc801a42
--- /dev/null
+++ b/AGH-Introduction-to-CS-master/Sortowanie - Sprawozdanie/Sorting.py	
@@ -0,0 +1,249 @@
+import random
+import time
+
+numberOfSort = 8
+randRange = 10001
+numberOfElements = 10
+numberOfTests = 10
+step = 1000
+displayResults = 1
+
+def fill(tab, size):
+    for i in range(0, size):
+        tab.append(random.randrange(1, randRange))
+
+def selectionSort(tab):
+    for i in range(0, len(tab)):
+        minimum = i
+        for j in range(i, len(tab)):
+            if (tab[j] < tab[minimum]):
+                minimum = j
+        tmp = tab[i]
+        tab[i] = tab[minimum]
+        tab[minimum] = tmp
+
+def insertionSort(tab):
+    for i in range(1, len(tab)):
+            if (tab[i] < tab[i - 1]):
+                    for j in range(i - 1, -1, -1):
+                            if (tab[j] < tab[i]):
+                                    tab.insert(j+1, tab.pop(i))
+                                    break
+                            elif (j == 0):
+                                    tab.insert(j, tab.pop(i))
+
+def bubbleSort(tab):
+    for i in range(0, len(tab)):
+            for j in range(0, len(tab) - i - 1):
+                    if (tab[j] > tab[j + 1]):
+                            tab[j], tab[j+1] = tab[j+1], tab[j]
+
+def partition(tab, s, f):
+        counter = s
+        for i in range(s+1, f+1):
+                if (tab[counter] > tab[i]):
+                        tab.insert(counter, tab.pop(i))
+                        counter += 1
+        return counter
+
+def quickSort(tab, s, f):
+        if (s < f):
+                p = partition(tab, s, f)
+                quickSort(tab, s, p-1)
+                quickSort(tab, p+1, f)
+
+def mergeSort(tab): 
+    if (len(tab) > 1): 
+        middle = len(tab)//2
+        L = tab[:middle] 
+        R = tab[middle:]
+        mergeSort(L) 
+        mergeSort(R)
+        i = 0
+        j = 0
+        k = 0
+        while i < len(L) and j < len(R): 
+            if L[i] < R[j]: 
+                tab[k] = L[i] 
+                i+=1
+            else: 
+                tab[k] = R[j] 
+                j+=1
+            k+=1
+        while i < len(L): 
+            tab[k] = L[i] 
+            i+=1
+            k+=1
+        while j < len(R): 
+            tab[k] = R[j] 
+            j+=1
+            k+=1
+
+def makeHeap(tab, n, i): 
+        largest = i
+        l = 2 * i + 1
+        r = 2 * i + 2
+        if l < n and tab[i] < tab[l]: 
+                largest = l 
+        if r < n and tab[largest] < tab[r]: 
+                largest = r 
+        if largest != i: 
+                tab[i],tab[largest] = tab[largest],tab[i]
+                makeHeap(tab, n, largest) 
+
+def heapSort(tab):
+        length = len(tab)
+        for i in range(length, -1, -1): 
+                makeHeap(tab, length, i) 
+        for i in range(length-1, 0, -1): 
+                tab[i], tab[0] = tab[0], tab[i]
+                makeHeap(tab, i, 0)
+
+def bucketSort(tab, min, max):
+        buckets = []
+        numberOfBuckets = int(len(tab)/2)
+        if (numberOfBuckets == 0):
+                numberOfBuckets = 1
+        delta = ((max - min)/numberOfBuckets)
+        for i in range(0, numberOfBuckets):
+                buckets.append([])
+        for i in range(0, len(tab)):
+                buckets[int((tab[i] - min)/delta)].append(tab[i])
+        tab.clear()
+        for i in range(0, numberOfBuckets):
+                bubbleSort(buckets[i])
+                tab += buckets[i]
+
+def radixCompare(tab, position):
+    n = len(tab) 
+    output = [0] * (n) 
+    count = [0] * (10) 
+    for i in range(0, n): 
+        index = (tab[i]/position) 
+        count[ int((index)%10) ] += 1
+    for i in range(1,10): 
+        count[i] += count[i-1] 
+    i = n-1
+    while i>=0: 
+        index = (tab[i]/position) 
+        output[ count[ int((index)%10) ] - 1] = tab[i] 
+        count[ int((index)%10) ] -= 1
+        i -= 1
+    i = 0
+    for i in range(0,len(tab)): 
+        tab[i] = output[i] 
+
+def radixSort(tab): 
+    maximum = max(tab) 
+    position = 1
+    while maximum/position > 0: 
+        radixCompare(tab,position) 
+        position *= 10
+        
+######################################
+numberOfElements = int(input("Choose number of elements in array at the beginning: "))
+while (numberOfElements < 1):
+        numberOfElements = int(input("You must choose not less than 1\nChose number of elements in array at the beginning: "))
+numberOfTests = int(input("Choose number of tests: "))
+while (numberOfTests < 1):
+        numberOfTests = int(input("You must choose not less than 1\nChose number of tests: "))
+step = int(input("Choose step: "))
+while (step < 0):
+        step = int(input("You must choose not less than 0\nChoose step: "))
+displayResults = int(input("Display results?\n1.Yes\n2.No\n"))
+while (displayResults != 1 and displayResults != 2):
+        displayResults = int(input("Select number\nDisplay results?\n1.Yes\n2.No\n"))
+results = []
+for i in range(0, numberOfSort):
+        results.append([])
+testingStart = time.time()
+for i in range(0, numberOfTests):
+        T = []
+        fill(T, numberOfElements + i * step)
+        Tabs = []
+        for i in range(0, numberOfSort):
+                Tabs.append(T.copy())
+
+        sortStart = time.time()
+        bubbleSort(Tabs[0])
+        results[0].append(time.time() - sortStart) 
+
+        sortStart = time.time()
+        insertionSort(Tabs[1])
+        results[1].append(time.time() - sortStart) 
+
+        sortStart = time.time()
+        selectionSort(Tabs[2])
+        results[2].append(time.time() - sortStart) 
+        
+        sortStart = time.time()
+        quickSort(Tabs[3],0,len(Tabs[3]) - 1)
+        results[3].append(time.time() - sortStart) 
+        
+        sortStart = time.time()
+        mergeSort(Tabs[4])
+        results[4].append(time.time() - sortStart) 
+        
+        sortStart = time.time()
+        heapSort(Tabs[5])
+        results[5].append(time.time() - sortStart) 
+        
+        sortStart = time.time()
+        bucketSort(Tabs[6], 0, randRange)
+        results[6].append(time.time() - sortStart) 
+
+        sortStart = time.time()
+        radixSort(Tabs[7])
+        results[7].append(time.time() - sortStart)
+
+        if (displayResults == 1):
+                print("\nTest number #" + str(i))
+                print("Original Tab")
+                print(T)
+                print("Sorted Tabs")
+                for i in range(0, numberOfSort):
+                        print(Tabs[i])
+                print()
+
+print("Time for all tests: " + str(time.time() - testingStart))
+
+f = open("bubbleSort.txt","w+")
+for i in range(0, len(results[0])):
+        f.write(str(results[0][i]) + "\t" + str(numberOfElements + i * step) + "\n")
+f.close()
+
+f = open("insertionSort.txt","w+")
+for i in range(0, len(results[1])):
+        f.write(str(results[1][i]) + "\t" + str(numberOfElements + i * step) + "\n")
+f.close()
+
+f = open("selectionSort.txt","w+")
+for i in range(0, len(results[2])):
+        f.write(str(results[2][i]) + "\t" + str(numberOfElements + i * step) + "\n")
+f.close()
+
+f = open("quickSort.txt","w+")
+for i in range(0, len(results[3])):
+        f.write(str(results[3][i]) + "\t" + str(numberOfElements + i * step) + "\n")
+f.close()
+
+f = open("mergeSort.txt","w+")
+for i in range(0, len(results[4])):
+        f.write(str(results[4][i]) + "\t" + str(numberOfElements + i * step) + "\n")
+f.close()
+
+f = open("heapSort.txt","w+")
+for i in range(0, len(results[5])):
+        f.write(str(results[5][i]) + "\t" + str(numberOfElements + i * step) + "\n")
+f.close()
+
+f = open("bucketSort.txt","w+")
+for i in range(0, len(results[6])):
+        f.write(str(results[6][i]) + "\t" + str(numberOfElements + i * step) + "\n")
+f.close()
+
+f = open("radixtSort.txt","w+")
+for i in range(0, len(results[7])):
+        f.write(str(results[7][i]) + "\t" + str(numberOfElements + i * step) + "\n")
+f.close()
+######################################
diff --git a/AGH-Introduction-to-CS-master/fibonaccccci.py b/AGH-Introduction-to-CS-master/fibonaccccci.py
new file mode 100644
index 0000000000000000000000000000000000000000..048e323886080e9d9f534654f56210f1c9dbf445
--- /dev/null
+++ b/AGH-Introduction-to-CS-master/fibonaccccci.py
@@ -0,0 +1,12 @@
+T=[0,1]
+
+def Fib(n):
+    if (n